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LYCar
Company
Project Report
“What factors can influence the
acceptance of vertical farming by
ecotourists?”
Tanguy Pechoultre de Lamartinie
672055
Prepared for: Ms Gikas & Ms Ortgies
Block: 2022AB
Campus: The Hague
Date submitted: 18/12/2021
Words: 11990 words
LYCar CPR 2122B – Tanguy Pechoultre de Lamartinie – 672055 – The Hague
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Executive summary
The subject of this study is the expansion of ecotourism through the concept of vertical farming.
The researcher fostered an interest in vertical farming in 2020 and wished to illustrate his
accumulated knowledge in tourism and sustainable practice to cover the topic in an area that has
yet to be investigated.
In the problem definition, the researcher introduces the topic of ecotourism which is a sub-
category of sustainable tourism and tourism. The ecotourism industry, which has had a steady
growth of 5% since 2018 can be defined as a practice of tourism that focuses on the ecological
and social bottom lines to meet the challenges of the 21st century. Ecotourism is based on six
pillars: nature-based, preservation, education, sustainability, equal benefits, and ethical
responsibility. In the problem definition, the researcher also explained that ecotourism, an
industry that is always required to innovate, has expanded through the concept of vertical
farming. Vertical farming, which is an urban, indoor, and high-tech agricultural practice, complies
theoretically and practically with the pillars of ecotourism, making it a relevant aspect to explore
for the expansion of ecotourism.
However, the expansion of vertical farming in ecotourism is hindered by the low acceptance of
this new agricultural practice. Common factors include the low knowledge of the system, an issue
of unromanticized image, and a scepticism towards its financial feasibility. A situational scan led
to the realisation that external parties play a great role in decreasing the scepticism of the public
towards a specific new technology. Moreover, Urban farming, the cousin of vertical farming,
gathers high-acceptance results amongst the public due to its big similarities with the traditional
farming model. Finally, the researcher understood, that the ecotourist market is a resilient market
that usually raises its acceptance once personal benefits are illustrated to them. The problem
definition led the researcher to design the main research question of this study: “What factors
can influence the acceptance of vertical farming by ecotourists?”.
A literature review was undertaken to discover what were the factors of low acceptance that were
directly linked to vertical farming within ecotourism. The unified theory of acceptance and use of
technology was used to guide this literature review. Therefore, the factors were investigated and
categorised in the groups “performance expectance”, “effort expectance” and “social influence”.,
which are the three variables affecting the overall acceptance of a system. In performance
expectance, the researcher understood that people usually doubt the ecological added value of
vertical farming. Another factor discovered was the fact that vertical farming, through its high-tech
methods does not perfectly represent nature. In effort expectance, the factor of technophobia
was brought to light: technophobia causes discomfort or physical anxiety to the ecotourists when
consuming technology-produced goods. Finally, in social influence, the researcher understood
that vertical farming, through its elitist image could reinforce the already existing elitist image
associated with ecotourism. Secondly, vertical farming is a threat to employment by replacing the
jobs of traditional farmers with robotised systems.
Once all these factors were discovered, the researcher created a research design to understand
which of these factors are the most important to ecotourists. Primary data was collected by
means of a survey, distributed to the ecotourist population. The outcomes of the statistical tests
showcased that the most contributing factors to the scepticism of ecotourists towards VF were
the sustainable views, the employment practices, and the image of elitism. The factor of
technophobia was discredited, and the factor of the natural views was neither confirmed or
discredited. From the statistical test emerged another factor which was the misbelief in the cost-
benefit ratio of vertical farming. At this point, the researcher also realised that there was a gap
between the perception of people regarding vertical farming and the reality of the concept, which
points towards the miseducation of people on the concept, which is the root cause of all future
resistance.
In the next step, the researcher designed a solution to deconstruct the unfounded perceptions of
ecotourists regarding the image of elitism, sustainable views, and employment practices. A focus
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group was held with Marjan de Jong, Gemma Gisy, and Francesco Filipetti to co-create an
optimal solution. The researcher ultimately combined the focus group outcomes, scientific
evidence, and his own understanding to develop the vertical farming learning module. This
educative tool, to be pilot tested at Hotelschool The Hague, in the Future of Food Minor, consists
of three phases. The main activities included in this module are a visit to a vertical farm in
Wageningen University, preparation of jigsaw presentations on different topics linked to vertical
farming and a reflection around the concept of vertical farming, to understand how the opinion of
the participants has evolved thanks to proper education on the topic. The learning module was
made bearing in mind the Taxonomy of Significant Learning Model by Dee Flink, ensuring its
quality as an educative tool to be implemented in a University. Financially wise, low costs also
guarantee its feasibility.
The evaluation plan has been set to understand the extent to which the learning module will
impact the opinion of the students and the wider ecotourist population when it comes to vertical
farming. The main tools will be displayed at the end of the learning module: for example, the
jigsaw presentation and their quality will give an overall idea of the knowledge gained. Moreover,
the time capsule concept will be applied to capture before and after the module the opinion of the
targeted students and see how opinions have changed on an individual level. On the larger
scale, the researcher hopes to influence the vertical farming industry, hospitality businesses, and
ecotourist population on the long term, however, as the solution is a pilot test, effects on the
wider scale will only be noticeable in the long term. Key performance indicators track in that
regard are the increase in hospitality/vertical farming projects or the overall acceptance evolution
of vertical farming that can be assessed by reutilising the survey from the analysis part.
In the dissemination chapter, the researcher defined the audience of this report as the
ecotourists, academicians, educative bodies, vertical farming employees, and hospitality
employees. Dissemination of the research results on ResearchGate enabled the researcher to
target the Academicians. On the social media platforms, an infographic targeted hospitality
businesses and ecotourists. An email summarizing the thesis outcomes and the full research
report was sent to 15 vertical farm enterprises to target the vertical farm employees. Finally, the
researcher aims at further disseminating to educative bodies and ecotourists by means of the
LYCar event and a planned urban farming event in January. Overall, the researcher is confident
that the results were widely spread, as shown by more than 100 views on ResearchGate.
However, very limited feedback was provided on the dissemination channels. The researcher
trusts that the direct communication with the targeted audience, during the planned events of
January 2022, will yield direct feedback.
In the final chapter, the researcher reflected on the project paradigms. The lack of existing
research on the topic of ecotourism and vertical farming limited the search of patterns and
paradigms in the literature review. However, the research project, through its methodological
design has a real added value for the Academician population, because it contributed to
increasing the knowledge on the topic, which can be further used as a steppingstone for
ecotourism or vertical farming research papers. The survey method, although limiting the
apparition of new paradigms, was a useful tool to gather many data and draw conclusions. For
the future, the researcher recognises that there would be added value in analysing the
acceptance of vertical farming while considering other variables (such as age, income level, or
psychographic and behavioural attributes). Relevant research to conduct, linked to this paper,
would be to gain a clear understanding of the ecological added value of vertical farming, find
ways to integrate vertical farming best practices within our traditional agricultural models, and
further the knowledge on the profile of ecotourists.
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Preface and acknowledgments
Dear reader,
To validate the obtention of a bachelor’s degree in Hospitality management at Hotelschool The
Hague, the researcher completed a research project on the subject of ecotourism and vertical
farming. The research project is based on the Data-Base Research cycle, this is a 5-step
process that covers the definition of a problem to its analysis and then on to the design,
implementation and evaluation of a solution that tackles the problem.
For this project, the researcher investigates the problem of the low acceptance of vertical farming
amongst the ecotourist market. The researcher completed the first two steps of the Data-Base
Research cycle by handing in and validating a proposal of research (App.1). This new report
depicts the full cycle, including the validated and reworked proposal.
The researcher, in his project was able to benefit from the advice and the help of a circle of
dedicated and knowledgeable colleagues.
Special thanks go to Katina Gikas, who coached the researcher by providing insightful tips on
improve the quality of the report in its shape and in its content.
The researcher thanks Marjan de Jong who commissioned the topic and enabled the researcher
to develop his ideas and interest in the research topic.
The researcher also wants to share his gratefulness to his course group composed of Francesco
Filipetti and Daan van Houten, for their advice; to the lecturers who shared their knowledge and
contributed to the overall quality of the report, this includes amongst other Ms Schepel, Mr Chia
and Mr van Rheede; the participnts of the focus group: Gemma Gisy, Francesco Filipetti and
Marjan de Jong.
Finally, the researcher acknowledges and thank the SDG/CE community of Hotelschool The
Hague, all those who participated in the research survey for their support and help.
Yours Sincerely,
The researcher, Tanguy Pechoultre de Lamartinie
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Precondition checklist
Precondition
Status
Executive Summary
Completed
Complete report
Completed
Use of English
Completed
Word count CPR
11939 words
Word count career portfolio
Harvard referencing
Completed
Assessment & feedback form approved
proposal
App.1
Proof of dissemination
Chapter 6
Client evaluation
Appendices Career Portfolio
Last exam
Completed
Turnitin accepted
Status unknown
CPR submitted to larchive@hotelschool.nl
Completed
Data Management
App.16
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List of abbreviations
Abbreviation
Meaning
AAR
After-Action Review
F&B
Food and Beverage
FoF
Future of Food
HTH
Hotelschool The Hague
LYCar
Launching Your Career
PDM
Project Dissemination Model
MRQ
Main Research Question
PLO
Professional Learning Outcomes
RQ
Research Question
SDG
Sustainable Development Goals
TSL
Taxonomy of Significant Learning
UTAUT
Unified Theory of Acceptance and Use of
Technology
VF
Vertical farming
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Table of contents
Executive summary ...........................................................................................................2
Preface and acknowledgments .........................................................................................4
Precondition checklist .......................................................................................................5
List of abbreviations .........................................................................................................6
Table of contents ..............................................................................................................7
1. Problem definition ................................................................................................ 10
1.1. Introduction ................................................................................................................ 10
1.1.1. Scopes of tourism .........................................................................................................................10
1.1.2. Expanding ecotourism ..................................................................................................................10
1.2. Problem definition ....................................................................................................... 11
1.3. Situational scan ........................................................................................................... 12
1.3.1. External parties and public acceptance ........................................................................................12
1.3.2. Acceptance of urban farming .......................................................................................................12
1.3.3. Ecotourists and technology acceptance .......................................................................................12
1.4. Reason for research ..................................................................................................... 13
1.5. Research goals ............................................................................................................. 13
2. Analysis and diagnosis .......................................................................................... 14
2.1. Main Research Question (MRQ) ................................................................................... 14
2.2. Literature review ......................................................................................................... 14
2.2.1. Introduction ..................................................................................................................................14
2.2.2. Performance expectance factors involved in the acceptance of VF by ecotourists.....................14
2.2.3. Effort expectance factors involved in the acceptance of VF by ecotourists ................................15
2.2.4. Social influence factors involved in the acceptance of VF by ecotourists ....................................15
2.2.5. Conclusion .....................................................................................................................................16
2.3. Methodology of stakeholder evidence .......................................................................... 17
2.3.1. Research method ..........................................................................................................................17
2.3.2. Sampling ........................................................................................................................................17
2.3.3. Data collection ..............................................................................................................................17
2.3.4. Ethical data management .............................................................................................................18
2.3.5. Limitations.....................................................................................................................................18
2.3.6. Research findings ..........................................................................................................................18
2.3.7. Statistical tests ..............................................................................................................................24
2.3.8. Conclusions and recommendations..............................................................................................26
3. Solution Design ..................................................................................................... 28
3.1. Design process ............................................................................................................. 28
3.2. Solution draft............................................................................................................... 29
3.2.1 Methodology ...............................................................................................................................29
3.2.2 Module content ...........................................................................................................................29
3.2.3 Reflection on proposed module ..................................................................................................33
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4. Implementation .................................................................................................... 35
4.1. Location....................................................................................................................... 35
4.2. Time ............................................................................................................................ 36
4.3. Communication plan .................................................................................................... 37
4.4. Financial information ................................................................................................... 37
5. Evaluation ............................................................................................................ 38
5.1. Criteria to assess .......................................................................................................... 38
5.2. Measurement tools ...................................................................................................... 39
5.3. Future steps ................................................................................................................. 39
6. Dissemination ....................................................................................................... 41
6.1. Initial Analysis.............................................................................................................. 41
6.2. Dissemination Design ................................................................................................... 44
7. Academic reflection .............................................................................................. 46
7.1. Reflection on research topics ....................................................................................... 46
7.1.1. Concepts, literature, and paradigms ............................................................................................46
7.1.2. Stakeholder needs ........................................................................................................................46
7.2. Reflection on used methodology .................................................................................. 46
7.3. Implications for future research ................................................................................... 47
7.3.1. Setting changes for the research ..................................................................................................47
7.3.2. Needs for extended research .......................................................................................................48
8. Appendices ........................................................................................................... 49
App.1: Proposal grade form .................................................................................................... 49
App.2: Survey Design .............................................................................................................. 53
App.3: Social Media message .................................................................................................. 55
App.4: Quantitative Data Informed Consent ............................................................................ 56
App.5: Statistical test outcomes .............................................................................................. 57
App.6: Transcript focus group ................................................................................................. 84
App.7: Introductory Resource ................................................................................................. 90
App.8: Overview of HTH courses and learning objectives ......................................................... 91
App.9: Research Gate dissemination ....................................................................................... 94
App.10: Social media dissemination ........................................................................................ 95
App.11: Dissemination to VF experts ....................................................................................... 96
App.12: Dissemination to hospitality businesses ..................................................................... 97
App.13: ResearchGate dissemination reactions ....................................................................... 98
App.14: Social media dissemination reactions ......................................................................... 99
App.15: VF experts dissemination reactions .......................................................................... 100
App.16: Proof of Data Management upload .......................................................................... 101
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Proof of word count ...................................................................................................... 102
List of references .......................................................................................................... 103
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1. Problem definition
1.1. Introduction
1.1.1. Scopes of tourism
This study investigates ecotourism, which belongs to the broader scopes of tourism and
sustainable tourism.
Tourism was defined as the movement and the activities of individuals to new destinations
(Mathieson and Wall, 1982). Tourism rapidly expanded globally. By offering transport,
accommodation, entertainment and food and beverage (F&B)(Lafferty and Fossen, 2001), it
reached trillion USD ranging revenues in 2015 (Petliovana, 2016).
The branch of sustainable tourism emerged as a realisation that tourism could be used to
improve the societal, economic, and ecological bottom-lines, like the high employment value of
the industry (Swarbrooke, 1999). It reflects the need for sustainable changes, advocated by the
United Nations in 1987 in “Our Common Future” (D’Arco et al., 2021).
Ecotourism is a sub-category of sustainable tourism that focuses on the ecological and social
bottom-lines (Hasan, 2014). Although the definition is unclear (Donohoe and Needham, 2006),
this study will consider the six agreed-upon components pillars of ecotourism: nature-based,
preservation, education, sustainability, equal benefits, and ethical responsibility (ibid; TIES,
2021). An example of ecotourism is Agriturismo that provides 90%+ locally supplied F&B
services, accommodation, and activities (Bakerjian, 2019).
In 2018 (vs. 2017), tourism grew by 7%, sustainable tourism by 6%, and ecotourism by
5%(O’Connor, 2018; CREST, 2018). The growth of 5% is impressive when considering that
ecotourism is a niche market and justifies the relevance to studying it.
1.1.2. Expanding ecotourism
Because trends change rapidly, ecotourism must constantly innovate (Gurung and Scholz,
2008). Ecotourism has a high-potential innovative pattern: it focuses on adapting natural
resource-utilization activities into recreational activities (Asadi and Kohan, 2011). For
Agriturismo, the production of farming products is turned into F&B experience, farming
workshops, and lodging.
This innovative pattern inspired the American brand Tower Farms to exploit the concept of
vertical farming (VF) (Tower Farms, 2021). VF is an indoor and environment-controlled
agricultural consisting of growing crops on stacked shelves (Despommier, 2013). Tower Farms
partners with third parties to develop VF projects in customer-orientated firms (ibid).
Tower Farms showcases that VF can be integrated into ecotourism to add sustainable and profit-
orientated value. Moreover, VF theoretically matches the pillars of ecotourism (Table.1), making
it a relevant concept to study.
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Table.1: Ecotourism and VF
Pillar
Explanation
Nature-based
VF aims at producing fresh produce (Despommier, 2011).
Preservation
VF reduces required arable land and preserves ecosystems by being
an urban practice (Despommier, 2013).
Education
VF is used in schools to educate on future food production methods
(Hopewell Elementary School, 2018; Pascual et al., 2018).
Sustainability
Socially, VF has high employment needs (Benke and Tomkins,
2017). Ecologically, VF reduces the needs for fresh water, arable
land and fuel (ibid; Saxena, 2021; Jasonos and McCormick, 2017;
Lyra et al., 2021).
Equal
benefits
VF offers agricultural opportunities in all parts of the World
(Despommier, 2013).
Ethical
responsibility
See equal benefits, sustainability, and preservation.
1.2. Problem definition
The researcher defined ecotourism and VF and showed that VF brings additional value when
integrated into ecotourism. However, there is a problem that hinders the expansion of VF
within ecotourism: the low public acceptance associated with VF. For example, the
recreational and production unit Uit je Eigen Stad listed non-acceptance of aquaponic vertical
systems in their bankruptcy report (de Graaf, 2016; Kartika, 2017).
The low knowledge of VF raises scepticism and misconceptions (Jürkenbeck et al., 2019;
Tablada et al., 2020). Moreover, the high-tech technology practice of VF conflicts with the
romanticized image of agriculture (Jürkenbeck et al., 2019; Specht et al., 2019). Finally, there is
economic scepticism towards VF (Specht et al., 2016).
The low acceptance of VF is one of the main obstacles to the materialisation of ecotourism-
based VF prototypes (such as Vertigrow in Sydney or the award-winning prototype of the
Aquaponic Experience hotel (Fig.1) (Cloherty, 2018; McKnight, 2017; Shah, 2018)).
Fig.1: Aquaponic Experience hotel
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1.3. Situational scan
1.3.1. External parties and public acceptance
A study on public acceptance of new technologies shows that most new projects fail because
they are not well introduced to the public (Rogers et al., 2008). Third parties can be used to
reduce this.
Through their high visibility, governments can advertise ecotourist concepts (Bhuiyan et al.,
2011). For example, the Edible Garden City in Singapore owes its success to the local authorities
that provided building space and an accepting legal framework (Low, 2019). This example of an
urban farm differs from VF, which has low governmental support (Allegaert, 2019). The
researcher, therefore, advises to focus on public third parties.
Private firms also increase public acceptance. For example, the Netflix effect shows how
companies can popularize concepts: in 2020, there was an increase of 125% of sales of chess
boards, which coincided with the release date of the chess-based mini-series The Queen’s
Gambit (Crosby, 2021). Regarding VF, the case of Tower Farms is similar: by partnering with
Google and Nasa, the 11-employee company build strong credibility and reached 107 farms in
total (Tower Farms, 2021).
1.3.2. Acceptance of urban farming
Urban farming is the broader scope including VF (Dane, 2020). VF differs from all other urban
farming methods because only VF and greenhouses are indoor practices (ibid), and VF utilises
the most high-tech practices (ibid).
VF is the least accepted urban farming method (Kartika, 2017), and there is a preference for
green spaces methods (Jürkenbeck et al., 2019). Participants think that the most attractive
factors of urban farming are “fresh”, “local” and “green” (Grebitus et al., 2020). For example, the
Edible Garden City is successful because it manages to preserve the romanticized image of a
traditional vegetable garden (Low, 2019).
1.3.3. Ecotourists and technology acceptance
Tourism has undergone massive technological changes recently, such as online bookings, e-
commerce, social media marketing, or mobile applications (Ukpabi and Karjaluoto, 2017). The
touristic market is known for being very resilient, and consequently, the use of technology has
been normalised (ibid). The e-booking revolution shows that tourists are willing to adapt and
increase their acceptance if they benefit from it.
To improve technology acceptance, Mlekus suggests that technology should be adapted to
comply with stakeholders’ beliefs (Mlekus et al., 2020). This showcases that to increase
acceptance, it is crucial to understand what the customer wants and needs.
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1.4. Reason for research
Ecotourism constantly evolves and must innovate to meet the challenges of the 21st century
(Gurung and Scholz, 2008; Swarbrooke, 1999; Donohoe and Needham, 2006). Through the
study, the researcher contributes to innovating ecotourism in the high-tech agricultural field.
Furthermore, ecotourism mainly focuses on natural ecosystems (Donohoe and Needham, 2006;
Blamey, 1997), however, the World is rapidly urbanising (Ritchie and Roser, 2018). This shows
that ecotourism must find ways to implement itself in urban settings, such as through VF.
Finally, although VF shows great theoretical promises, its low acceptance is hindering its
successful implementation (Benke and Tomkins, 2017; Despommier, 2011; Jürkenbeck et al.,
2019). Therefore, the study is a step towards increasing the success chances of VF.
1.5. Research goals
For the client: understand concrete actions that can increase the successful implementation of
the VF concept linked to ecotourism.
For the researcher: provide some advice on how to enhance the acceptance of VF amongst
ecotourists.
2. Analysis and diagnosis
2.1. Main Research Question (MRQ)
“What factors can influence the acceptance of vertical farming by ecotourists?”
2.2. Literature review
2.2.1. Introduction
To understand the factors that play a role in the acceptance of VF, the researcher used the
Unified Theory of Acceptance and Use of Technology (UTAUT) (Soo Kang et al., 2011). The
UTAUT assesses overall acceptancy by analysing performance expectancy, effort expectancy,
and social influence (Oye et al., 2014). These variables are applied to the VF concept and the
ecotourist population.
2.2.2. Performance expectance factors involved in the acceptance of
VF by ecotourists
Performance expectance investigates if a system can achieve set goals (Oye et al., 2014). If VF
does not bring environmental and social added value (Donohoe and Needham, 2006), it will
score low in performance expectance.
It is unclear to ecotourists if VF contributes to the environmental bottom line. Therefore,
sustainable views negatively affect the performance expectance of VF by ecotourists.
Sustainability is a pillar of ecotourism (Ramaswamy and Sathis Kumar, 2010; Donohoe and
Needham, 2006), however, there seem to be disagreements if VF brings ecological added-value.
Perceived sustainability was recognised as a key factor in achieving acceptance of VF
(Jürkenbeck et al., 2019). However, individuals have a lack of knowledge on VF that leads them
to make wrong assumptions about its ecological impacts (ibid). For example, people wrongly
think that chemicals are necessary for VF processes (Yano et al., 2021). This lowers the
acceptance of VF because individuals’ subjective opinions take over the rational arguments
supporting the fact that VF is a sustainable practice.
For individuals that are familiar with VF, opinions converge, because Academia disputes that VF
is sustainable. For example, energy consumption was brought as a limitation of VF (Specht et al.,
2019). The researcher understands that some ecotourists might question the sustainability
impact of VF because Academicians themselves disagree.
VF is an urban practice, this conflicts with the original goal of ecotourism to be displayed
in a natural environment. Therefore, the poor representation of nature negatively impacts
the acceptance of VF by ecotourists.
Originally, ecotourism was described as activities linked to nature, which made the notion of
“natural practices” essential (Donohoe and Needham, 2006; Blamey, 1997). The first
interpretations suggested that there should be a complete immersion in natural ecosystems
(Valentine, 1992). This represents a challenge for VF, which can be considered unnatural due to
the soil-less practices, the use of LED lights, and the rapid robotisation of its practices (Muller et
al., 2017; Chuah et al., 2019). This uncertainty is emphasized by the preference of open and
green spaces practices when it comes to urban farming (Specht et al., 2016; Jürkenbeck et al.,
2019).
However, these interpretations date from the 1990s, and the definition must be adapted to the
current context. The International Ecotourism Society remains evasive on the topic (TIES, 2021),
highlighting a possibility to widen the interpretation of the definition. The link between VF and
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nature exists as the plant remains the core interest of VF. Therefore, VF could exceed the
expectations of ecotourism by bringing the natural component to the urbanised World.
2.2.3. Effort expectance factors involved in the acceptance of VF by
ecotourists
Effort expectance can be defined as the extent to which it will be easy for an individual to use the
system (Oye et al., 2014). The more ecotourists are at ease while using VF, the more likely it is
that they will accept it. That makes effort expectance a moderator variable to the acceptance of
VF by ecotourists.
Discomfort while using VF reduces its ease of use on the psychological level. Therefore,
technophobia reduces the effort expectance of VF by ecotourists.
As was illustrated in the introduction of this study, a commonly encountered factor of low
acceptance of VF is the reluctance towards high-tech technology, also known as technophobia
(Yano et al., 2021). If an ecotourist shows signs of technophobia, it would increase its effort
expectancy, because it would psychologically be difficult for him/her to engage in high-tech-
related touristic activities.
A study showed that 85% of the population suffered technophobia symptoms in the form of
discomfort characterised by physical anxiety, nausea, sweating, gastrointestinal symptoms,
restlessness, and more (Hou et Al., 2017; Osiceanu, 2015; Juby, 2021), however, it is uncertain
to what extent this phenomenon touches ecotourists.
ecotourism used to be mainly practiced by highly educated individuals, however nowadays, it is
spreading to lower educational levels. The literature offers opposed opinions when it comes to
technophobia and educational level: while Wietgrefe supports that high education individuals
tend to resist technology (Wietgrefe, 2018) Friederes supports the opposite (Frideres et al.,
1983).
To conclude, it is uncertain if technophobia is present amongst ecotourists, however, it must be
considered, as it is a recognised obstacle to VF. There is a high chance that many ecotourists
are represented in the 85% of individuals experiencing technophobia according to Osiceanu’s
study (Osiceanu, 2015).
2.2.4. Social influence factors involved in the acceptance of VF by
ecotourists
Social influence is the last component of UTAUT and it acts as a mediator in the acceptance of
VF by ecotourists. Indeed, social influence refers to the degree that the user is influenced by his
surroundings to use a system or not (Oye et al., 2014). Through the pillars of ethical
responsibility and equal benefits (Donohoe and Needham, 2006), ecotourists consider their
social impacts. Therefore, if VF tarnishes the social image of ecotourists, they will not engage
with VF.
The elitism of VF is a social influence factor that negatively impacts its acceptance by
ecotourists. This is because elitism is a construct that conflicts with the equal benefit
pillar of ecotourism.
Through equal benefits, ecotourism attempted to reduce social inequalities (Donohoe and
Needham, 2006). However, in practice, ecotouristic activities in preserved natural ecosystems
are expensive due to the exclusiveness of the locations (Cater, 2006). For example, the
preserved ecosystem of the Ranch at Rock Creek near Yellowstone features glamping lodge
charged $2200 to $3200 per night (The Ranch at Rock Creek, 2021). These high prices
associate a negative image of elitism to ecotourists. The elitist image of ecotourism is further
reinforced by the mainly highly-educated profile of ecotourists (Wight, 1996).
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Efforts should be made to reduce the elitist affiliation of ecotourism. However, VF goods currently
have an elitist image because of their high prices (Specht et al., 2019). Therefore, VF currently
reinforces an image of elitism that reduces the social image of ecotourism.
Employment practices of VF have consequences on the job market and especially the
traditional farmers. This negatively impacts the social influence that is associated with VF.
In VF there is uncertainty as to who the farmer because the employees running a VF are mostly
engineers or automated systems (Benke and Tomkins, 2017). Employment practices in VF
conflict with ecotouristic-minded values of preservation and equal benefits.
Firstly, the replacement of low-entry jobs by highly skilled jobs and automated systems is a threat
to the traditional agriculture employment model because it leads to lay-offs (Chuah et al., 2019).
VF remains a labour-intensive industry that requires high employment needs for diverse and
high-skilled workers (Despommier, 2013; Benke and Tomkins, 2017). However, these jobs
require a level of education that is not usually achieved by the current workforce of traditional
agriculture (ibid).
Secondly, in the reality of the 21st century, most traditional agriculture processes are robotised or
linked to high-technology systems (Specht et al., 2016). However, in urban areas, there is a lack
of knowledge regarding these farming advances, because most of the population keeps a
romanticized yet outdated image of the farmer vehiculated by retailers, children’s books, and
farmer associations (Specht et al., 2019). VF which is located at the heart of urban hubs can be
witnessed by all, and conflicts with the outdated traditional image of agriculture.
2.2.5. Conclusion
Through the literature review, the researcher aimed at understanding how the acceptance of VF
was perceived by the ecotourists. The UTAUT model was used to gather the most relevant
variables: by analysing patterns in the behaviours and the profile of ecotourists, and opposing
those to the practices of VF, the researcher uncovered five factors that decrease the acceptance
of by ecotourist: sustainable views, representation of nature, technophobia, image of
elitism and employment practices.
A conceptual framework illustrates the relationships of the study concepts (Fig.2).
Fig.2: Conceptual framework
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2.3. Methodology of stakeholder evidence
2.3.1. Research method
The researcher collected primary data through a survey (App.2) to understand if the scientific
evidence uncovered in the literature review, is confirmed by the stakeholders.
Through the research model and the deductive approach, the researcher aims at answering the
following research questions (RQs):
RQ1: To what extent are the factor of low acceptance identified in the literature review
confirmed by ecotourists?
• Sub-component 1.1: Representation of nature
• Sub-component 1.2: Sustainable views
• Sub-component 1.3: Technophobia
• Sub-component 1.4: Image of elitism
• Sub-component 1.5: Employment practices
RQ2: What are the most important factors of low acceptance?
• Sub-component 2.1: Priority order
• Sub-component 2.2: frequency of most recognised factors
• Sub-component 2.3: Other factors
2.3.2. Sampling
The population of interest is composed of ecotourists.Any tourist that has partaken in an
ecotouristic activity in the past or plans on doing so can be considered an ecotourist (TIES,
2021). Ecotourism is mainly practiced by males (58%), and members of generation Y (aged 20 to
40)(TIES, 2000).
The latest data available reported that the ecotourist market generated $92.2 billion, which was
equivalent to 7% of the total tourism revenues. 7% of international tourists amounts to 93.57
million tourists (Correa, 2021).
The pool of ecotourist-minded individuals is 69% of international travellers. This is the
percentage of travellers that exhibited a desire to travel according to the pillars of ecotourism in
2019 (Ecotourism World, 2021). Considering the focus on generation Y, that is a potential pool of
approximately 266 million ecotourist-minded individuals.
Non-probability sampling, through convenience sampling, is used to collect valid data from
ecotourists (Shlomo et al, 2013).
Considering the willingness to answer and the study constraints, the researcher expects at least
100 answers from ecotourist-minded individuals (Chia, 2021).
2.3.3. Data collection
The survey was designed via the application ThesisTools.
The researcher distributed the survey on high visibility social media platforms (Facebook,
WhatsApp, LinkedIn, and Tumblr) (App.3)(Cremades, 2019). Moreover, social media appeal to
ecotourists which facilitates convenience sampling (Ukpabi and Karjaluoto, 2017). The hashtags
#ecotourist, #ecotourism, and #ecotravel are used to facilitate the spread of the survey to
ecotourist-minded individuals.
The survey is also distributed to specific Facebook groups (Table.2). This group targeting also
increases the reach to ecotourist-minded individuals.
The survey was distributed between 24 August and 14 September and the results were analysed
using SPSS version 27.
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Table.2: Groups consulted for the survey
Group name
Eco-tourism, people, and
culture
HTH student sustainability
initiative
Sustainable Future
Eco-tourism and wildlife
students hang-out
Eco Tourism
2.3.4. Ethical data management
The research model follows the regulation of the Netherlands Code of Conduct for Research
Integrity from 2018 (NAUAS, 2018). A Qualitative Data Informed Consent is added to the
beginning of the survey to apply ethical management in the research design (App.4).
2.3.5. Limitations
Project constraints: A sample size calculator advised collecting 384 answers (Creative
Research Systems, 2020). Due to the limited time available for this study, and the low willingness
to answer, the minimum number of answers required is 100 (Chia, 2021). The large difference
between the ideal and minimum number of answers highlights possible lower reliability.
Sampling reliability: Because the survey is shared on social media, the researcher does not
have full control over who answers it. Therefore, there is a chance that an individual that does
not belong to the population of interest answers the survey. To limit this undesirable outcome,
question 3 of the survey “to what extent do you consider yourself ecotourism-minded?” will be
further used as a filter.
Factor relevance: Through the survey, the researcher aims at understanding to what extent the
factors noticed in the literature review are valid. This limits the apparition of new patterns or
paradigms. To improve this, an “other” option offers participants to add additional factors of low
acceptance. The researcher considers an “other” factor relevant if at least 2 participants mention
it.
Complex concepts: In the survey, some complex concepts such as acceptance, ecotourism,
and VF are explored. This can lead to confusion amongst participants. To limit confusion, the
researcher defined the concepts before the questions.
2.3.6. Research findings
Descriptive statistics were drawn through SPSS data analytics platform and displayed in Table.3.
As per the sampling strategy, the researcher targets the ecotourist population, therefore
conditioned filtering was used to exclude the responses of the 18 participants that selected an
answer equal or lower to “neutral” for the question “To what extent do you consider yourself an
ecotourist”. This explains why the number of respondents decreases from 118 to 100.
The conclusions in Table.3 are true for the sample only; statistical tests were executed in 2.3.7 to
generalise the findings for the population.
Table.3: descriptive statistics
Variable
Frequency table (modes indicated in frame)
Visualisation
Extent of
ecotourism
Gender
Age
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Highest (or
current)
educational level
Current occupation
Familiarity with VF
concept
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Extent fake
representation of
nature
Extent ecologically
minded practice
Extent comfortable
eating robot
produced goods
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Extent elitism
Extent employment
problems
Most contributing
scepticism factor
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Other contributing
factors
(summarized in
categories after the
arrow)
• “It’s a lot of tech, energy, intrants (ulimately produced with fossil fuels), while ecological methods of farming e.g. food
forests or permaculture are just as productive without all that. It just takes more time. The quality is better, there’s less
energy involved and it contributes to the general quality of the environment.” Sutaianble views; representation of
nature; harmful to biodiveristy
• “Low diffusion and application. And skills of workers employed might not match the standard required by the high-tech
VF.” Cost/Benefit ratio; Employment practices
• “Farmers may not be able to pay for them which causes small farmers to go bankrupt.” Cost/Benefit ratio;
Employment practices
• “Expensive, cannot cope with the demand that traditionally grown food can.” Cost/Benefit ratio
• “Who does it matters: a local company? A multinational? A private seller? The bigger it is, the more sceptic I am.”
Sustainable views
• “The energy required for vertical farming to function (electricity ...) or the material required and their CO2 impact
regarding their journeys also negatively impact the environment and should be taken into consideration.”
Sustainable views
• “Not natural”. Representation of nature
• “Energy consumption” Sustainable views
• “I am very sceptic of using technology to solve problems” Representaion of nature
• “Taste, genetically modified crop/seeds” Reduced quality; harmful to biodiveristy
• “Lack of vitamines in the products” Reduced quality
• “I would need full transparency to be convinced”
• “Replacement of naturel energy such as the sun” Representation of nature
• “It seems to me that is asks for much more ENERGY CONSUMPTION than it would in natural and normal
environment” Sustainabe views
2.3.7. Statistical tests
Statistical tests were executed to draw conclusions for the whole population through SPSS
(App.5). The participants that do not consider themselves ecotourists have been filtered out of
these statistical tests to preserve the validity of the sample. The conclusions of the statistical
tests are summarized in Table.4.
Table.4: Summary of statistical test conclusions
Test
Reference
Related RQ
Conclusion
App.5.1
Descriptive statistics
Ecotourists are mostly female,
then males, then other genders.
App.5.2
Descriptive statistics
Ecotourists are mostly aged 18-25
years old, followed by 26-35 years
old category. Other age categories
are much smaller.
App.5.3
Descriptive statistics
Bachelor’s degrees and master’s
degrees are majorly represented
amongst ecotourists. There are
very few doctorate’s degrees,
professional degrees, and high
school equivalents.
App.5.4
Descriptive statistics
Most ecotourists are students or
employed. A few ecotourists are
out of work or have another
occupation.
App.5.5
Descriptive statistics
Ecotourists consider themselves
familiar with VF to a low extent.
App.5.6
RQ2.2;RQ2.3;RQ1.1
Ecotourists think VF is a fake
representation of nature to a
neutral extent.
App.5.7
RQ2.2;RQ2.3;RQ1.2
Ecotourists think VF is an
ecologically friendly practice to a
low-neutral extent.
App.5.8
RQ2.2;RQ2.3;RQ1.3
Ecotourists are comfortable
consuming high-tech produced
vegetables to a high extent.
App.5.9
RQ2.2;RQ2.3;RQ1.4
Ecotourists think VF is designed
for a privileged population to a
neutral-high extent.
App.5.10
RQ2.2;RQ2.3;RQ1.5
Ecotourists think that the
robotized systems used in VF take
the jobs of non-urban farmers to a
neutral-high extent.
App.5.11
RQ2.1
Ecotourists think that VF not being
an ecologically friendly practice is
the most contributing factor to
their scepticism towards VF.
App.5.12
RQ1.1;RQ1.2;RQ1.3;RQ1.4;RQ1.5
The gender of ecotourists does not
influence their scepticism towards
VF.
App.5.13
RQ1.1;RQ1.2;RQ1.3;RQ1.4;RQ1.5
To a small extent, the older an
ecotourist is, the more he will be
likely to think VF takes the jobs of
non-urban farmers. Besides, the
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age of ecotourists does not
influence scepticism towards VF.
App.5.14
RQ1.1;RQ1.2;RQ1.3;RQ1.4;RQ1.5
Master’s degree students think
that VF is designed for a privileged
population to a lower degree than
any other education levels.
Besides, the highest education
level of ecotourists does not
influence their scepticism towards
VF.
App.5.15
RQ1.1;RQ1.2;RQ1.3;RQ1.4;RQ1.5
The current occupation of
ecotourists does not influence
their scepticism towards VF.
App.5.16
RQ1.1;RQ1.2;RQ1.3;RQ1.4;RQ1.5
To a small extent, the more an
ecotourist is familiar with VF the
less he thinks VF is a fake
representation of nature. Besides,
the extent to which ecotourists are
familiar with VF does not influence
their scepticism towards VF.
App.5.17
RQ2.1
The gender of ecotourists does not
influence the factor that most
contributes to their scepticism
towards VF.
App.5.18
RQ2.1
The age of ecotourists does not
influence the factor that most
contributes to their scepticism
towards VF.
App.5.19
RQ2.1
The highest education level of
ecotourists does not influence the
factor that most contributes to
their scepticism towards VF.
App.5.20
RQ2.1
The current occupation of
ecotourists does not influence the
factor that most contributes to
their scepticism towards VF.
App.5.21
RQ2.1
The extent to which ecotourists
are familiar with VF does not
influence the factor that most
contributes to their scepticism
towards VF.
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2.3.8. Conclusions and recommendations
Answering RQ1: To what extent are the factor of low acceptance identified in the literature
review confirmed by ecotourists?
Statistical tests enabled to understand if the factors that were identified in the literature review
were confirmed by stakeholders. Overall, not all factors were confirmed and recognised as
increasing the scepticism of ecotourists regarding VF, and it seems that the degree varies per
factor.
The technophobia factor was the only factor discredited by the survey outcomes (App.5.8), on
average, ecotourists have a high threshold when it comes to consuming high-tech produced
goods.
The fake representation of nature although not discredited, showed neutral results (App.5.6).
The statistical analysis enabled to confirm three paradigms of the literature review. Ecotourists
find it neutral-high that VF is designed for a privileged population (App.5.9) and that VF has a
negative impact on employment in agricultural industries (App.5.10). Moreover, ecotourists find it
low-neutral that VF is an ecologically friendly practice (App.5.7).
In the analysis, the researcher also understood that demographic and psychographic attributes of
ecotourist did not have a large impact on the extent to which they evaluate the acceptance
factors. While gender and current occupation do not have any influence (App.5.12 & App.5.15),
very small correlations were uncovered between age and the extent to which ecotourists think VF
takes the jobs of non-urban farmers (App.5.13). Moreover, master’s degree students have a
higher acceptance of the image of elitism factor (App.5.14). Finally, to a small extent, the more
an ecotourist is familiar with VF the less he seems to think that VF is a fake representation of
nature (App.5.16).
Looking at the literature review, the researcher understands that the survey results conflict with
the scientific evidence when it comes to the technophobia factor. The researcher hypothesises
that the discrepancy lies in the fact that the age of ecotourists is lower than initially anticipated
and younger generations have a higher acceptance of technology advances in general. The fake
representation of nature factor, by being neither confirmed nor discredited, the researcher is not
able to assuredly consider it as a factor that contributes to the scepticism of ecotourists towards
VF. Finally, the scientific evidence is positively complemented by the stakeholder evidence to
consider the image of elitism, the sustainable views, and the employment practices as factors
that contribute to the scepticism of ecotourist towards VF.
Considering the UTAUT model, the researcher can complement the literature review by
establishing that the social influence factors are most at play when understanding the
acceptance of VF by ecotourists; followed by the performance acceptance category. But more
importantly, as technophobia was not recognised a contributing factor, the effort acceptance
category does not affect the acceptance of VF by ecotourists.
Answering RQ2: What are the most important factors of low acceptance?
The researcher was able to identify what ecotourists thought to be the most contributing factor to
their scepticism towards VF (App.5.11). The outcomes of the test pointed out that all factors were
represented in unequal proportions, which shows that a priority order can be drawn. Looking at
the frequencies, the researcher concludes that the most recognised factor of scepticism is the
sustainable views factor. Followed by the fake representation of nature and the image of elitism
and finally, the technophobia factor was recognised as the least contributing factor.
For ecotourists, demographics and psychographic attributes such as age, gender, highest
educational level, current occupation, and extent of familiarity with VF do not influence the
likeliness of ranking one of the factors above another (App.5.17-App.5.21). This highlights the
fact that scepticism of the ecotourist population towards VF finds its roots causes in deeper
behavioural and psychographic attributes that were not considered. Besides, several ecotourists
pointed out that other factors contributed to their scepticism towards VF, such as reduced quality,
harmful to biodiversity and the low cost/benefit ratio.
Going back to the literature overview, the researcher was able to refine the analysis by
establishing a priority order between the factors of low acceptance of the ecotourist population.
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Whiles paradigms were identified, the researcher was not able to uncover the scale and effect
size of each factor through the current methodological design.
Answering the MRQ: What factors can influence the acceptance of VF by ecotourists?
The image of elitism, the sustainable views, and the employment practice, which were paradigms
discovered in the literature review, were confirmed through stakeholder evidence. On the other
hand, previously identified factors of technophobia and fake representation of nature were
discredited and do not seem to contribute to the non-acceptance of VF by ecotourists. A priority
order was also identified between all factors which highlight the priority to resolve the sustainable
views factor. Additionally, the survey results enabled to discover a new factor of influence: the
low cost/benefit ratio, which belongs to the performance category of the UTAUT model and
relates to the ethical responsibility pillar of ecotourism. To conclude, the performance and effort
factors in the UTAUT model most influence the acceptance of VF by ecotourists.
Besides, when it comes to the profile of the ecotourist, the researcher discovered very small
correlations between demographic and psychographic attributes and the acceptance of factors.
But overall, the researcher concludes that more deeply rooted personal attributes probably
impact the acceptance of VF by ecotourists.
As an overall takeaway, the researcher was able to revise the conceptual framework (Fig.3).
Fig.3: Revised conceptual framework
The conclusions highlight an overall low perception of sustainability (both social and
environmental). This conflicts with the actual benefits of VF that were uncovered in the
introduction (such as its benefits in water management, role in providing employment, or role in
providing equal access to food in different parts of the World).
The researcher concludes that disinformation hinders VF and a clear lack of education on its
advantages negatively impacts the perception that ecotourists have of the concept. Better
educating the ecotourist market on VF will enable to break down the misconceptions on VF,
which is the first step towards improving its acceptance.
The researcher recommends focusing on the sustainable views, the image of elitism, and the
employment practices, as these were recognised factors that contribute to the scepticism of
ecotourists towards VF. The cost/ratio benefit by showing uncertain results could be discussed,
although it does not represent a priority. Finally, based on the profile of the ecotourist, the
researcher recommends focusing on students aged 18-25 years old.
The researcher recommends focussing on the educative pillar of ecotourism to resolve the
problem: by educating ecotourist students aged 18-25 years old, on the notions of social and
environmental sustainability, the researcher will spark their interest while giving them the tool to
form an unbiased opinion about the concept.
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3. Solution Design
3.1. Design process
From the statistical test outcomes, the researcher understands that most of the ecotourists are
students and that a majority of ecotourists are familiar with VF to a low extent.
From the literature review outcomes, which were confirmed through the statistical testing, there is
much disinformation amongst ecotourists regarding the ecological impact of VF: most would
agree that VF is ecologically not worth it due to LED energy costs and chemical pollution.
However, these respondents fail to consider the recognised advantages of VF when it comes to
water management, arable land use, and reduced transportation needs (Benke and Tomkins,
2017; Banerjee and Adenaeuer, 2014; Yano et al., 2021). The same can be said regarding the
employment practices, where ecotourists do not consider the high employment needs in high
technology of VF, and the elitist image that does not consider the progress brought forward by
VF to preserve agriculture in all parts of the World.
To fit the student characteristics and the recommendation that followed the methodological
design, the researcher imagines an educative module as a potential solution to break down
misconceptions on VF. The educative module will comply with the model of the Taxonomy of
Significant Learning (TSL) by Dee Fink, to ensure maximum learning efficiency (Fink,
2003)(Fig.4). Moreover, an educative module solution links to the findings of the situational scan,
that ecotourists can show resilience in acceptance if they are properly shown the benefits of a
concept.
Fig.4: TSL
By addressing students in general, a learning module will target both ecotourists and non-
ecotourists individuals. This entails that the researcher will not able to quantify how many
ecotourists will receive the solution; however, the fact that students match the demographics of
ecotourists ensures that sufficient ecotourists will be affected by the learning module.
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3.2. Solution draft
3.2.1 Methodology
The researcher organised a focus group (App.6) on 18/11/2021 with targeted stakeholders from
Hotelschool the Hague (HTH): Marjan de Jong (teacher and co-founder of the SDG community at
HTH), Francesco Filipetti (student and aspiring VF entrepreneur), and Gemma Gisy (student,
ecotourist and member of HTH’s sustainable community and beekeeping club).
The aim was to build a draft of what the learning module could look like. Focus groups are fast
and efficient processes to collect practitioner and stakeholder evidence (Krueger, 2014). By
providing a sense of group, the participants are more likely to share their problems and possible
solutions, while keeping spontaneity by reacting to the answers of others (Onwuegbuzie et al.,
2009).
The yielded data were analysed using the Constant Comparison Method (App.6). This consists
of isolating the relevant data, grouping it in colour-coded categories, and creating themes
gathering the relevant categories (Strauss, 1987). Table.5 depicts the overview of the categories
and themes of the focus group.
Table.5: Analysis overview of the focus group
Themes
Categories
Pre-module
activities
Time capsule
Homework
Learning
activities
Visit of VF
VF implementation at HTH
Jigsaw method
Assessment
activities*
Jigsaw method
Time capsule
Final deliverable
Other
Aim of module
Teaching style
Module implementation**
Future steps*
*Information also used in Chapter 5
**Information also used in Chapter 4.2
3.2.2 Module content
The proposed learning module (Fig.5) consists of three distinctive phases:
The pre-module phase aims at introducing the students to the concept of VF while checking
their original thoughts about the concepts.
The module phase will feature the actual activities that will increase the knowledge of the
students on the concept of VF.
Finally, the assessment phase will enable the module-owner and the researcher to draw
conclusions on the efficiency of the whole procedure.
Table.6 depicts all the activities comprised within the phases. These activities were inspired by
the researcher’s original solution ideas, which were refined in the co-creation process (de Jong,
Gisy and Filipetti, 2021) and supported by adequate scientific research.
Table.6: Activities
Phase
Step
Activity
Objective
Explanation
Activity
owner
Target
audience
Pre-module
1
Introductory
email/
module
syllabus
Transmitting the
reasons for the
module and the
technical
The syllabus is a crucial component for any learning
module as it is the most formal means of
communication between an instructor and a student
when it comes to the course’s structure, content and
specificities (Eberly et al., 2001). By providing,
beforehand, the deliverable overview, course structure,
aim of the course and time commitment, the
researcher aims at increasing the student’s morale,
through clear communication (Garavalia et al., 1999).
Lecturer
Students
2
Time capsule
creation
Capture the initial
thoughts of the
students concerning
VF
Time capsules are linked to the idea of leaving an
unchangeable trace in the present, that can be found
and analysed in the future (Jarvis, 2015). The idea,
suggested by Gemma Gisy in the focus group, will
enable to perform a before/after assessment upon the
module completion, to understand the evolution of
opinions of students regarding VF.
Students
/
3
Introductory
resources
(App.7)
Provide initial;
information about
VF to spark an
interest amongst
ecotourist students
or potential
ecotourist students
Although reading lists provide useful information on a
topic, up to 80% of university students do not read
them (Deale and Lee, 2021). To resolve this, the focus
group participants advised to focus on a one-pager,
infographics or videos, which are more engaging
materials (Renfro, 2017).
Sending introductory resources will also be an
opportunity for the researcher to vehiculate targeted
content on sustainable views, employment practices
and image of elitism.
Lecturer
Students
4
Forming of
Jigsaw
groups
Define groups that
will build an
expertise on a VF
related topic
The Jigsaw teaching method, suggested by Mrs de
Jong, is a participative teaching method, in which the
student is in charge of his/her own learning and the
other student’s learning (Resor, 2008). Besides
improving self-esteem, group relationships and
attitude, the Jigsaw method has shown to motivate
students to consult the recommended materials (ibid).
Lecturer
Students
/
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This will ensure a higher interest towards the specific
content that the researcher wishes to vehiculate in the
introductory resources.
The Jigsaw topics must be diverse to avoid repetition
of knowledge between groups, which can lead to
boredom and loss of focus according to the focus
group outcomes. Potential topics include the triple-
bottom line aspects, the history of VF, the best
practices, and the future of VF. Here, it is important to
remember the targeted topics, outcomes of the
research: the sustainable views will be the core of the
research for the Environmental bottom-line Jigsaw
group. Similarly, the image of elitism and employment
practices will need to be covered by the Jigsaw group
dealing with the People bottom-line.
Module
5
Drafting of
questions
Initial phase of
preparation where
the students gain
understanding on
their topic of
expertise
in the Jigsaw process, students will have to define the
future needs to be answered, to have the complete
overview of their topic of expertise linked to VF.
Students
/
6
VF visit
Direct exposure to
the concept of VF to
understand it better
and find the
answers to their
questions
A field trip to a VF will enable students to receive direct
input for their Jigsaw presentations and will also
enhance their reflection, facilitate their meaning-
making and help them to connect more easily to the
novel concept of VF (Stern and Powell, 2020).
As per the focus group, the visit of the VF could
include a tasting workshop, which will facilitate the
deconstruction of misconceptions on the taste and
quality of VF products.
VF
employees
Students
Lecturer
7
Preparation
of Jigsaw
output
Finalise the expert
presentations
In the Jigsaw process, the students will have to use
the knowledge gained during the visit, as well as their
desk research to finalise their presentations.
Students
/
Assessment
8
Delivering of
Jigsaw
output
Educate the other
students on a
specific area linked
to VF
In the Jigsaw process, the students will get the chance
to educate their peers by delivering summary
presentations on all the relevant topics that are linked
to VF.
Students
Students
Lecturer
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9
Time capsule
update
Capture the
thoughts of the
students about VF
after exposure to
the VF concept
Closing the time capsule experiment by asking the
students to write a statement on their opinion
regarding VF and comparing it with their original
thoughts. This will provide a form of before/after
assessment on the effect of the module on the
student’s opinions. (Barends, 2021)
Students
/
10
Group
reflection
Debate to
understand how the
opinion of students
have evolved, and
what consideration
they have about VF
after understanding
the concept better
A debate to close off the module is the perfect
opportunity to tackle the subjects of sustainable views,
employment practice and elitism. After all their
exposure to VF, the researcher believes that the
students will have built a sufficient knowledge to
discuss these topics and express a reliable opinion
unclouded from an initial lack of knowledge.
Students
Lecturer
/
11
Module
owner
evaluation
Build an
understanding of
the module’s impact
on students after
completion of the
module
The researcher and lecturer must understand to what
extent the module bears an impact in the mind of the
students. More information is provided in Chapter 5.
Lecturer
(Researcher)
Fig.5: Learning module steps
3.2.3 Reflection on proposed module
The aim of the solution was to deconstruct misconceptions about VF through education. This is
achieved by the draft learning module. The focus of the solution was the misconceptions
regarding ecological sustainability, employment practices, and elitism. These subjects will be
tackled as they are key considerations for the Jigsaw topics of the people bottom-line and planet
bottom-line, as well as being directly discussed in the introductory resources and group reflection
step. Moreover, it can be noted that the solution proposed exceeds expectations by considering
the cost-benefit ratio factor in the profit bottom-line Jigsaw topic.
Another aim of the solution was to target ecotourists, which is achieved through the choice of
targeting students aged 18-25 years old, that match the key demographics of ecotourists as per
the research outcomes.
Finally, the proposed solution complies with the TSL model (Table.7), which is a foundational
model in educational design (Fink, 2003),and increases its feasible implementation.
Table.7: Overview of TSL elements linked to proposed solution
TSL component
Application explanation
Foundational knowledge
The foundational knowledge is transmitted through the Jigsaw
method where students educate each other. The knowledge is
supported by selected resources and the knowledge of the
Wageningen students
Application
The students by owning the responsibility of a topic of expertise
can display the knowledge acquired
Integration
The project connects two major universities in the Netherlands,
which will enable both people and ideas to mix and learn from
each other
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Human dimension
Students learn about themselves and others when working
together in groups. This is further supported through group
feedback
Caring
The solution is aimed at better understanding VF, which is
motivated by sustainable values and answers the problems of
tomorrow in a responsible way. The module therefore transmits
sustainable values to its participants
Learning how to learn
The solution is designed in progressive way students are
encouraged to take ownership of their learning progress
Overall, the researcher concludes that all set objectives set are met through the solution, which
makes it valid.
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4. Implementation
4.1. Location
The researcher when looking for a pilot location considers undergraduate and graduate
institutes, which best fit the demographics of the targeted group (Sharma, 2015). Furthermore,
introducing a VF-based learning module is a novel and hyper-complex decision which means
that there are limited benchmarks and there is a need for an empirical pilot test approach
(Barends, 2021). In this context of uncertainty, universities have the advantage of already
possessing educative resources that facilitate the implementation process (Sharma, 2015).
The researcher will utilise HTH to test his solution. HTH has two campuses with identical
courses, which means the solution can be introduced simultaneously on two campuses
(Hotelschool The Hague, 2021b). The institution of Higher Education fits the project for the
following reasons:
• Values: The values of HTH include openness, sustainability, and integrity (Hotelschool
The Hague, 2021b) that link to the pillars of ecotourism. Moreover, HTH focuses on F&B
structures and therefore has an interest in VF as it could be an ideal sustainable supplier
for its outlets. Finally, with the newly added beehives and taste lab in the campuses of
HTH, the researcher understands that the school seeks to follow its vision of “creating
hospitable structures” through an empirical and practical approach, which matches VF
(Hotelschool The Hague, 2021b).
• Stakeholders: HTH enjoys an extended network of students, alumni, lecturers, the local
community, and others (Hotelschool The Hague, 2021b). These stakeholders are aligned
with the characteristics of the ecotourist market. They have an interest in sustainable
practices, they understand ecotourism and their profile align: mostly 18-25 years old with
an educational background, knowledge in the tourism industry, and the financial means
to travel.
The researcher aims at utilizing the knowledge of relevant stakeholders in the design,
action, and evaluation parts. For example, the members of the HTH sustainability
committee and the SDG/CE committee.
Moreover, the students of HTH study hospitality, therefore they can directly grow an
interest towards expanding VF to ecotourism, which is an objective of this study.
• Teaching methods: The progressive methods of teaching are already implemented in
numerous courses of HTH, with the concept of Jigsaw methods and the flipped
classrooms (Hotelschool The Hague, 2021b; Focus Group). This facilitates the
implementation as the learning-module owners are already familiar with these teaching
tools.
When it comes to the visit of a VF during the learning module, the focus group outcomes
suggested considering visiting the Wageningen University in the Netherlands. The university
boasts VF facilities (GreenTech, 2017) and there are expert students on the topic of VF.
Receiving the knowledge from the students of Wageningen will be a form of peer-teaching which
holds benefits for the HTH students, as it boosts their participation, but also for the Wageningen
students presenting, as it boosts their autonomy, motivation, critical thinking, collaborative and
communication tools (Stigmar, 2016).
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4.2. Time
Out of all the courses offered at HTH (App.8), the imagined solution fits best with the course
Future of Food (FoF) from the bachelor’s programme, as confirmed through the focus group;
Circular thinking in the Hotel Ecosystem from the master’s programme and Hospitality
Experience Design from the MBA’s programme. Indeed all these courses are future-orientated
and involve elements of innovation, sustainability, and/or food production and consumption
(Hotelschool The Hague, 2021a).
As a pilot project consists of delivering the solution in one unique setting (Zbrodoff, 2012), the
researcher narrows down the project to FoF, which best fits the theme of VF. Moreover, at HTH,
in 2020 567 students entered the bachelor’s programme or the International Fast-Track
programme and 150 students on average participated in FoF each block; whereas only 25
students entered the master’s programme (Hotelschool The Hague, 2021a; Ling, 2021). The fact
that there are 22 times more bachelor’s students compared to master’s students highlight the
advantage of focusing on the larger group to test the module.
FoF is provided alongside all other minors twice per academic year. The course lasts 10 weeks
and its structure is described in Fig.6 (FoF Core Team, 2021). The proposed learning module
should be integrated into “the Feed” in the fifth week of FoF, dealing with the challenges of
feeding an increasing population (Ling, 2021).
Fig.6: Structure of FoF course
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4.3. Communication plan
To ensure maximum efficiency of the pilot implementation, there will be a need to effectively
communicate the instructions and technical information to the module-owners: lecturers of FoF.
The following actions will be taken:
• The solution and research outcomes were kindly introduced to Ms Williams, core team of
FoF, by the research commissioner Ms de Jong in December 2021. Ms Williams
positively reacted to the learning module concept and objectives. The researcher will
further discuss the feasibility and implementation of the learning module with Ms
Williams, Mr Gallicano and Mr de Vos, the three core team members of FoF.
• Feedback from the lecturers will be implemented to perfect the solution outline and
content.
• The course will be provided for the first time by the researcher and the lecturer together.
• The solution will be evaluated (Chapter 5).
• When all necessary changes are implemented, the ownership of the module will switch
completely to the lecturers.
4.4. Financial information
The low cost (Table.8) and high potential of the solution for the values and development of HTH
induces a positive cost/benefit ratio, which increases the feasibility and positive impact of the
proposed solution (Barends, 2021).
Table.8: Estimated costs
Item
Estimated cost
Learning module design
Free; designed by the researcher
Visit of VF
Free; as part of a cooperation with another university
Tasting
1,14€ per participant*
Staffing costs
Included in lecturer’s salary; free for Wageningen student
guides, as part of their education learning
*For a tasting of salad and leafy greens; a traditional salad and a pack of leafy greens cost 1€
each and can be shared amongst ten students (AHnl, 2021). VF produced goods costs 4,7 times
more than traditional farming (Tasgal, 2019), which brings the cost to 4,7€ for a salad and leafy
greens to be shared by 10 students. Price= (2*(1+4,7))/10=1,14.
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5. Evaluation
5.1. Criteria to assess
The solution is a pilot, therefore it tests the feasibility of a concept, to understand how this
product can be improved in its content and shape (Zbrodoff, 2012). Table.9 describes the
different criteria that must be assessed in the evaluation process (Butcher et al., 2019).
Once the criteria are assessed, the researcher will be able to identify the potential of the solution
and consider subsequent implementation (Nordstrom, 2009). If most measures provide a
negative effect, it is advised to reorganise co-creation sessions to understand how to improve the
solution or consider discontinuing it (ibid).
Table.9: Criteria to be assessed
Criteria
Explanation
KPIs associated
Direct
effect of
the
solution
Retention of the
knowledge
Information retention creates
tacit knowledge that can be
widely spread thus create
awareness on VF (Mohajan,
2016)
-Jigsaw presentations
-Number of references to VF in
future work
Reducing
misinformation
Understand if the
misconceptions about VF have
been deconstructed
-Time capsules
-Average score for: “To what
extent do you consider
yourself familiar with VF?”
Acceptance of
VF
The objective of the solution is
that ultimately there is an
increase in the acceptance of
VF
-Average scores for: “To what
extent do you consider VF to
be an ecologically friendly
practice?”; “To what extent do
you think VF is designed for a
privileged solution?”
-Participation rate
-Group reflection outcomes
-number of references to VF in
future work
Effectiveness of the
learning method
Measuring to what extent the
method used in the learning
module is an enabler of the
objectives
-Jigsaw presentations
-Score on opinion about the
course
-Participation rate
-Number of questions on
instructions
Value of the solution
Measuring to what extent the
solution influences its
environment on a broader
scale.
-Number of VF projects
worldwide and ecotourism VF
projects
-Revenue generated by VF
-Global acceptance score of
VF
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5.2. Measurement tools
Jigsaw presentations: The quality and number of details used in the Jigsaw presentations,
gives a clearer idea of the extent to which students have assimilated the information regarding
VF.
Time capsules: The tool is comparable to a before-after assessment (Barends, 2021). The
students express an opinion about VF without the preparation exposure, and the end measure of
the capsule showcases how much the opinion of the student has evolved. The test shows
positive results if the student shows an evolution in his/her behaviour towards the development of
VF and is able to provide unbiased judgement on the concept.
Group reflection outcomes: The debates that will arise from the learning module contain
numerous qualitative data that give an idea to the module-owner of the perception of the
audience regarding VF. This data can be recorded for future analysis.
Number of references to VF in future work: Data mining can be performed on the database of
the media centre of HTH to scan for mentions of VF in the works of the HTH students (Laudon
and Laudon, 2017). The measure shows positive results if the number of references increases at
each measure.
Average scores/global acceptance scores: The execution of a quasi-experiment can be used
to evaluate the solution (Barends, 2021). A baseline measurement is taken by distributing an
adapted version of the methodology survey to two groups of students, the FoF population and
another group of students (App.2). After the minor, both groups are retested on their acceptance
via the same survey. The result is positive if there has been an improvement of the average
scores in the FoF group. The more the difference is great with the independent, the more
effective the module was.
Participation rate/number of questions on instructions: The module owner can count the
number of questions and enquiries regarding VF that were asked during the module. This figure
can be compared to the regular modules, to understand to what extent the module has led to
improved participation levels compared to other learning modules. Similarly, the module owner
can count the number of questions on the instructions to understand to what extent the Jigsaw
method was hard to execute. The fewer enquiries on instructions the better the solution format is.
Score on opinion of the course: A simple measure at the end of the module can be taken to
assess the overall opinion of the students with regards to the learning module. To execute this
measure, the module owner and researcher can make use of the HTH course feedback form,
which is commonly used to assess blocks at HTH.
Number of VF projects worldwide/ecotourism VF projects: Through web mining, the
researcher can track how many projects of VF and ecotourism VF are emerging (Laudon and
Laudon, 2017). Several measures will enable to map out the evolution. Particularly interesting
would be to pinpoint the creation of VF within the schools that boasted the VF learning module.
Although this long-term factor is not fully dependent on the solution efficiency, pinpointing
schools will enable to increase the causation ratio.
5.3. Future steps
If the results of the assessment tools show positive outlook for the solution and the perception of
VF by the HTH community, some steps will have to be taken to expand the idea within and
outside the boundaries of HTH. In case of positive results, the first step will be to implement the
pilot test within the curriculum (Zbrodoff, 2012). As per the focus group, other steps could include
the extension of the module to other courses of HTH such as Circular Thinking in the Hotel
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Environment, which is a course offered in the Master’s programme, or Hospitality Experience
Design, from the MBA programme (Hotelschool The Hague, 2021c; de Jong, Gisy and Filipetti,
2021).
Other future steps could include the expansion of the module to other universities that have an
interest in hospitality & tourism, circular economy, or agriculture. Finally, the most ambitious
project that could be launched in the future if the HTH community responds positively to the
module, would be to launch a VF project within the campus (de Jong, Gisy and Filipetti, 2021).
Depending on the financial aspirations of the project, this indoor VF could be considered a
project for LYCar students or in a more casual setting, similar to the beehive club, that was
launched in 2020 at HTH (Hotelschool The Hague, 2021b; ibid).
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6. Dissemination
To maximise efficiency, the researcher translated the ten steps to innovative dissemination
(Ross-Hellauer et al., 2020) into the project dissemination model (PDM) (Fig.7).
Fig.7: PDM
6.1. Initial Analysis
Define objectives: in this step, the researcher asks himself why there is a need to disseminate
(Ross-Hellauer et al., 2020).
By disseminating his results, the researcher indirectly influences the knowledge of individuals,
which impacts their behaviour and decision-making processes in the social, political, and
economic spheres (Akin and Scheufele, 2017; Marín-González et al., 2017). The researcher
disseminates his results in interest to creating a behavioural change when it comes to ecotourism
and agricultural methods. The researcher also aims at increasing the acceptance of VF by
ecotourists and increasing the successful implementation of VF-based ecotourism concepts.
Besides, the researcher acknowledges that not disseminating represents a waste of time and
effort used in the project (Derman and Jaeger, 2018).
Identify Stakeholders: mapping the audience, with their characteristics and reason of
involvement enable the researcher to prioritize the process of dissemination and align the
contents to the appropriate channels of communication (Ross-Hellauer et al., 2020).
Based on the dissemination objectives, the researcher identifies the stakeholders of the
dissemination process as the ecotourists, the urban farm/VF employees, the educative entities,
the hospitality businesses, and the academicians. A persona is created for each stakeholder
group, which includes characteristics and stake in the project (Fig.8)
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Fig.8: Stakeholder personas
24
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6.2. Dissemination Design
Finding the right tools: The researcher needs to design the message and align it with the most
appropriate channel (Ross-Hellauer et al., 2020). While doing so, the researcher must always
remember to respect diversity and to create the content in an attractive format (ibid). For
example, visual tools enable to bridge the gap between academicians and civilians by presenting
complex ideas in a manageable manner (Renfro, 2017).
Content design: Based on the characteristics of the target audience the researcher designed
dissemination acts to connect to his stakeholders:
• Academic publication: The research report was posted on Academician and public
database Researchgate.net and the HTH archives (LYCar core team, 2020; Resta et al.,
2010) (App.9). These databases are chosen because they are open access, which
means the student researcher can publish without additional fees; moreover (ibid).
Databases of journal articles are often consulted by Academicians (Resta et al., 2010);
this will enable to address of the Academician stakeholder group.
• Social media use: A blog post that summarizes the outcomes of the research in a visual
and concise manner was created (App.10). To finalise the follow-up of the survey, the
blog post is shared on the Facebook groups used to distribute the survey.
Social media improve the fast and immediate share of information (Buckarma et al.,
2017). To improve the specific targeting of ecotourists, use hashtags (#verticalfarming;
#ecotourist; #ecotourism). Finally, although mostly ecotourists are targeted through this
method, the blogpost will also affect any member of the society at large that reads it,
enabling accrued spread.
• Private sharing: The blog post designed for social media has been adapted to be
shared individually with 15 up-and-coming VF businesses, mainly located in the
Netherlands (App.11). Privately sharing the research outcomes with these companies
increases their knowledge of the targeted market. It also enables these businesses to
correct their practices to improve the market and approach the relevant audiences.
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• HTH alumni network: The research outcomes were shared on the alumni platform of
HTH to reach hospitality minded people (App.12). The research aims at planting seeds
of innovation within HTH alumni that also happen to share numerous characteristics with
the ecotourist population (as per the research outcomes).
• FoF research website: Thanks to the kind involvement of Ms de Jong, the researcher
can submit his research paper as a part of the FoF research website, accessible to all
students of HTH, but more specifically ecotourists of the FoF course and the educative
bodies behind the website.
• Oral dissemination: Through the co-creation session on 18/11/2021 and the LYCar
event, planned for January 2022, the researcher directly communicates his research
findings to targeted groups. Moreover, the research outcomes were presented to Ms
Williams, lecturer at HTH by Ms de Jong, to identify the feasibility of an implementation
within HTH. Furthermore, the commissioner of this research aims at organising an urban
farming event, in which the researcher will be able to present his findings. This event will
be held on the 13th of January 2022 and will be an optimal occasion to receive direct
feedback from VF businesses, educative bodies, hospitality professionals,
academicians, and ecotourists. Finally, the learning module solution will be an optimal
ool to keep on orally disseminating semester after semester to ecotourists and
educative bodies of HTH.
Through his dissemination acts, the researcher was able to achieve great reach; especially on
ResearchGate, where the publication was consulted by 106 people (including 41 full-reads) as of
12/12/2021 (App.13). Although the social media publication did not yield many reactions, the
researcher received some encouraging comments (App.14), this was like the emails sent to VF
start-ups (App.15). Overall, the dissemination met its objectives to spread awareness of the
research outcomes. The researcher points out that the project could have benefited from
additional comments on the content and what could be improved.
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7. Academic reflection
7.1. Reflection on research topics
7.1.1. Concepts, literature, and paradigms
Due to the novelty of the concept, the researcher had to deal with limited scientific evidence
(Barends, 2021; Gupta and Ganapuram, 2019). Especially for the literature, all evidence had to
be confirmed through a stakeholder-orientated methodology and thus it increased the risks of
incorrect interpretations (Barends, 2021). Moreover, the researcher deplores the low amount of
research available on VF and ecotourists. This limited the multiplication of paradigms on factors
hindering the acceptance of VF by ecotourists. This limits the study, as some factors might be left
undiscovered.
These observations also highlight the value of the research project: the researcher positively
contributed to the knowledge available on VF, creating opportunities to refine future related
research projects.
7.1.2. Stakeholder needs
By adding knowledge to a novel concept, the stakeholder needs are met: future scholars will be
able to elaborate their literature overview, which is a necessary foundation in any academic
research project (Boote and Beile, 2005), although the lack of paradigms must be considered by
future Academician as a limitation of this research project.
Moreover, the knowledge of the project led to the solution design that tackles the needs of
ecotourists, educative bodies, urban farming, and VF business and hospitality businesses. An
opportunity for diversification that creates demand, and generates supply thus brings added
value.
It can be noted that before generalising the contribution of this study, it will require a proper
evaluation. By deconstructing misconceptions on VF, the project improves acceptance of VF,
although more work must be executed to perfect acceptance of VF.
7.2. Reflection on used methodology
The elaboration of the literature review was based on scientific evidence and practitioner
knowledge of hospitality and VF. With the survey, the Academician’s point of view was
confronted and verified. This has enabled to collect data from multiple sources, which ultimately
strengthens the weight of the arguments (Barends, 2021).
The choice of executing a survey induced a quantitative approach (Sekaran and Bougie, 2003).
This approach is relevant because, as the concept of the research is novel and complex, and the
literature sources of inspiration were scarce, there was a need to generalise the outcomes of the
scientific evidence to a wider population. Thus, the survey is powerful in its ability to be easily
spread and generate numerous data (ibid). Moreover, an advantage of the quantitative approach
is the irrefutable interpretation of the outcomes. This limits biases that could emerge from the
opinions of the researcher in a qualitative methodology (ibid).
Some methodological challenges include the use of a questionnaire that limits the apparition of
new paradigms due to limited choices (Sekaran and Bougie, 2003). Furthermore, after
completing the survey and its analysis, the researcher notes that several limitations must be
considered to carefully use the outcomes of this study:
• The sample size of 118 participants is valid within the imposed conditions of the
research projects, however, it is inferior to the sample size advised to draw conclusions
on population level.
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• Despite a clear effort to spread the survey to the whole ecotourist population, the use of
social media draws more attention from younger populations (Pew Research Center,
2021), which might induce some uncertainty regarding the generalisations made on the
age and current occupation of the ecotourists.
• While the chi-square goodness-of-fit enabled the researcher to understand if the
variables are equally distributed or not (Snedecor and Cochran, 1989), there are no
available tests to provide a mean estimate for each value.
7.3. Implications for future research
7.3.1. Setting changes for the research
Needs for future research naturally arise from the research outcomes of the project. The settings
of the project were focused on the population of ecotourists. However, the objectives of
spreading awareness on VF do not limit themselves to the field of ecotourism. The population of
interest could be shifted to understand how the acceptance differs from population to others and
thus complete the initial objective of increasing the acceptance of VF.
Currently, the project based its analysis on understanding a population sorted through
psychographic segmentation, and especially, through the ecotourism lifestyle trait of
segmentation (Tynan and Drayton, 1987). It was discovered after the research, that the variables
used did not showcase relevant segmentation of the ecotourist population when it comes to
scepticism towards VF. The researcher identifies examples of the best potential variables of
interest to further the research in Table.10.
Table.10: Variable settings of interest for the development of VF
Segmentation
category (Tynan
and Drayton,
1987)
Variable
Explanation
Demographic
Age
Age affects the social perception of VF: different age groups
have different behaviours in the adoption of new
technologies (Chen and Chan, 2011).
Income
As seen earlier, VF is often considered elitist due to high
prices (Specht, Siebert, et al., 2016). This must be
considered to properly address individuals with varying level
of incomes.
Geographic
Place of
origin /
current
country
Agriculture and culture are often linked and hard to
dissociate; therefore, perception decreases when the
heritage conflicts with the new advances (Banks, 2004).
Psychographic
Diet
habits
The more people are concerned by eating vegetables, the
more they will take in interest in sustainable manners of
producing it. Moreover, through the reduction of pesticides
and the optimised used of nutrients (Despommier, 2011),
VF generates interest for those with high vegetable intake
diets.
Behavioural
Benefits
sought
Depending on the factors that influence customer behaviour
in the purchase of vegetables (e.g., price, quality, distance
to selling location, appearance…)(Chikkamath et al., 2012),
the interest in VF varies. Because it does not cater
proportionally to all these benefits.
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7.3.2. Needs for extended research
The research outcomes clearly show that although VF is an attractive concept, much more
research must be accomplished to make it a viable concept. To lead the way in the agricultural
methods of the future, research on VF should focus on:
Furthering the research on the ecological added-value: The water management and the
location advantage of VF installations unquestionably improve the ecological bottom line in the
field of agriculture (Benke and Tomkins, 2017). However, the use of energy-powered lighting and
aeration systems negatively impacts UNSDG 12 on responsible consumption and production
(Wong et al., 2020; United Nations, 2019). As noticed earlier in the analysis, these impacts
generate Academician and stakeholder doubts regarding the ecological added value of VF
(Specht et al., 2019). This highlights the need for future research in establishing what is currently
the most ecological manner of producing vegetables, and how can the VF consumption of energy
be best improved.
Integrating VF and traditional agriculture: As seen throughout this research, VF shakes
society by deconstructing the romanticized image of agriculture (Jürkenbeck et al., 2019).
Moreover, some people fear that through its robotised systems, VF redesigns the jobs within the
field of agriculture (Chuah et al., 2019). These uncertainties highlight the need for the
development of an integrated approach that would bind VF to the current agricultural methods
rather than developing VF and traditional agriculture separately.
Developing the profile of the ecotourist: while this research focused on VF linked to
ecotourism, it is important to highlight the fact that the ecotourism market represents a large
share of the touristic demand (O’Connor, 2018; CREST, 2018). Future research on the profile of
the ecotourist can be performed to understand how the tourism and hospitality industry can best
adapt to this profile and keep on diversifying towards reaching customer needs and wants.
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8. Appendices
App.1: Proposal grade form
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App.2: Survey Design
1. What is your gender?
• Male
• Female
• Other
2. What is your age? (open answer)
3. What is your educational level?
• No schooling
• Middle school equivalent
• High school equivalent
• Bachelor’s degree
• Master’s degree
• Professional degree
• Doctor degree
• Other (open answer)
4. What is your current occupation?
• Working
• Student
• Retired
• Out of work
Ecotourism can be defined as touristic activities with environmentally and socially
friendly practices
5. To what extent do you consider yourself an ecotourist?
• Very high
• High
• Neutral
• Low
• Very low
6. To what extent do you consider yourself familiar with the concept of vertical farming?
• Very high
• High
• Neutral
• Low
• Very low
Vertical farming is an agriculture method that relies on a high-tech controlled environment
(e.g., soil-less, artificial lights, robotised systems) to produce vegetables and leafy greens
in urban indoor structures.
7. To what extent do you think that vertical farming is a fake representation of nature?
• Very high
• High
• Neutral
• Low
• Very low
8. To what extent do you think vertical farming bring ecological added value?
• Very high
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• High
• Neutral
• Low
• Very low
9. To what extent do you feel anxiety symptoms at the idea of consuming vegetables
produced through high-technology?
• Very high
• High
• Neutral
• Low
• Very low
10. To what extent do you feel that vertical farming is an elitist practice?
• Very high
• High
• Neutral
• Low
• Very low
11. To what extent do you think that the robotised systems in vertical farming take the jobs of
farmers?
• Very high
• High
• Neutral
• Low
• Very low
12. Are there any other factors that increase your scepticism towards vertical farming? (open
answer)
13. Which of the statements selected in question 4 contributes the most to your scepticism
towards vertical farming?
• I think vertical farming does not represent a natural environment
• I do not think that vertical farming brings ecological added value
• I feel discomfort engaging with vegetables produced by high-tech means
• I think that the pricing of vertical farming reinforces it as an elitist practice
• I think the robotisation of vertical farming takes over the jobs of farmers
• Other (open answer)
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App.3: Social Media message
Dear ecotourist enthusiast,
I am a student currently finishing my Bachelor at Hotelschool The Hague in The Netherlands.
I need your help to collect some data on ecotourist opinion on vertical farming, which is the
subject of my thesis. Here is the link to my survey, it should take approximately 3 to 5 minutes to
complete, on the secured website ThesisTools. And of course, the data collected will be kept
anonymous and will only serve the purpose of my thesis completion.
Thank you so much for your help!
Tanguy
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App.4: Quantitative Data Informed Consent
Thank you very much for agreeing to participate in this survey.
You, as the survey respondent, declare you are 18 years old or over and recognise that your
participation is voluntary, and you may withdraw from this research at any time.
This survey investigates the factors that contribute to the low acceptance of vertical farming
amongst ecotourists.
The information provided by you in this questionnaire design will be used for student research
purposes leading to the award of a Bachelor’s degree in Hospitality Management at Hotelschool
The Hague, Netherlands (Brusselselaan 2; 2587AH The Hague – The Netherlands).
The data will not be used in any manner which would allow identification of your individual
responses.
Anonymised research data will be archived at Hotelschool The Hague Media Centre Database,
to make such data available/accessible to other researchers in line with ethical data sharing
practices.
Should you be interested in the results of this study, please contact
Researchprojects@hotelschool.nl .
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App.5: Statistical test outcomes
App.5.1: Test variable gender (nominal) Chi Square goodness-of-fit
The researcher assumes the population is equally distributed amongst males and females.
Therefore, the proportion of genders to be tested is 0,33.
H01: The proportion of males is 0,33
H11: The proportion of males is not 0,33
H02: The proportion of females is 0,33
H12: The proportion of females is not 0,33
H03: The proportion of other is 0,33
H13: The proportion of other is not 0,33
P-value = .000<.005
Accept H11, H12 and H13: the genders are not proportionally distributed. Looking at the
frequencies, the most represented gender is females, followed by males and other genders
only represent a small percentage.
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App.5.2: Test variable age (ordinal) Chi Square goodness-of-fit
The researcher assumes the population is equally distributed amongst ages. Therefore, the
proportion of all age category is tested to be 0,143 which represents an exact proportionality.
H01: The proportion of >18 is 0,143
H11: The proportion of >18 is not 0,143
H02: The proportion of 18-25 is 0,143
H12: The proportion of 18-25 is not 0,143
H03: The proportion of 26-35 is 0,143
H13: The proportion of 26-35 is not 0,143
H04: The proportion of 36-45 is 0,143
H14: The proportion of 36-45 is not 0,143
H05: The proportion of 46-55 is 0,143
H15: The proportion of 46-55 is not 0,143
H06: The proportion of 56-65 is 0,143
H16: The proportion of 56-65 is not 0,143
H07: The proportion of 65+ is 0,143
H17: The proportion of 65+ is not 0,143
P-value = .000>.05
Accept H11, H12, H13, H14, H15, H16 and H17: the ages are not proportionally distributed.
Looking at the frequencies, the most represented are 18-25 years old, followed to a smaller
extent by 26-35 years old and to an even smaller extent by 46-55 years old, 36-45 years old
and 56-65 years old.
App.5.3: Test variable highest educational level (nominal) Chi Square goodness-of-fit
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The researcher assumes the population is equally distributed amongst highest occupational
levels. Therefore, the proportion of all highest educational levels category is tested to be
0,125 which represents an exact proportionality.
H01: The proportion of none is 0,125
H11: The proportion of none is not 0,125
H02: The proportion of middle school equivalent is 0,125
H12: The proportion of middle school equivalent is not 0,125
H03: The proportion of high school equivalent is 0,125
H13: The proportion of high school equivalent is not 0,125
H04: The proportion of bachelor’s degree is 0,125
H14: The proportion of bachelor’s degree is not 0,125
H05: The proportion of master’s degree is 0,125
H15: The proportion of master’s degree is not 0,125
H06: The proportion of Doctorate degree is 0,125
H16: The proportion of Doctorate degree is not 0,125
H07: The proportion of professional degree is 0,125
H17: The proportion of professional degree is not 0,125
H08: The proportion of other is 0,125
H18: The proportion of other is not 0,125
P-value = .000<.05
Accept H11, H11, H12 H13, H14, H15, H16, H18 and H17: the highest educational levels are
not proportionally represented. Looking at frequencies, the most represented highest
educational level are bachelor’s degree and master’s degree, approximately equivalent,
followed to a way smaller extent by high school equivalent, doctorate’s degree and
professional degree.
App.5.4: Test variable current occupation (nominal) Chi Square goodness-of-fit
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The researcher assumes the population is equally distributed amongst current occupation.
Therefore, the proportion of all current occupation category is tested to be 0,2 which
represents an exact proportionality.
H01: The proportion of employed is 0,2
H11: The proportion of employed is not 0,2
H02: The proportion of student is 0,2
H12: The proportion of student is not 0,2
H03: The proportion of retired is 0,2
H13: The proportion of retired is not 0,2
H04: The proportion of out of work is 0,2
H14: The proportion of out of work is not 0,2
H05: The proportion of other is 0,2
H15: The proportion of other is not 0,2
P-value = .000<.05
Accept H11, H12, H13, H14 and H15: the current occupations are not proportionally
distributed. Looking at the frequencies, the most represented are students, closely followed
by employed and followed to much smaller extent by out of work and others.
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App.5.5: Test variable familiar with vertical farming (scale) one-sample-t-test
The researcher aims at testing the hypothesis that people are neutrally familiar with vertical
farming. Therefore, the mean of fake representation of nature is tested to be 3 (neutral).
H0: The mean of familiar with vertical farming is 3
H1: The mean of familiar with vertical farming is not 3
P-value = .000<.05
Accept H1: The mean of familiar with vertical farming is not 3. With 95% certainty the
mean is situated between 3,77 (low) and 4,2 (low).
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App.5.6: Test variable fake representation of nature (scale) One-sample-t-test
The researcher aims at confirming the literature outcome that ecotourists consider it high that
vertical farming is a fake representation of nature. Therefore, the mean of fake
representation of nature is tested to be 2 (high).
H0: The mean of the fake representation of nature is 2
H1: The mean of the fake representation of nature is not 2
P-value = .000<.05
Accept H1. The mean of the fake representation of nature is not 2. With 95% certainty, the
mean of the fake representation of nature is between 3,08 and 3,48 (Neutral)
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App.5.7: Test variable ecologically friendly practice (scale) One-sample-t-test
The researcher aims at confirming the literature outcome that ecotourists consider it low that
vertical farming is an ecologically friendly practice. Therefore, the mean of ecologically
friendly practice is tested to be 4 (low).
H0: The mean of ecologically friendly practice is 4
H1: The mean of ecologically friendly practice is not 4
P-value= .008<.05
Accept H1: The mean of ecologically friendly practice is not 4. With 95% certainty, the
mean of ecologically friendly practice is between 3,24 (neutral) and 3,64 (low).
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App.5.8: Test variable comfortable consuming high-tech produced vegetables (scale)
One-sample-t-test
The researcher aims at confirming the literature outcome that ecotourists consider it low that
they are comfortable consuming high-tech produced vegetables. Therefore, the mean of
comfortable consuming high-tech produced vegetable is tested to be 4 (low).
H0: The mean of comfortable consuming high-tech produced vegetable is 4
H1: The mean of comfortable consuming high-tech produced vegetable is not 4
P-value = .000<.05
Accept H1: The mean of comfortable consuming high-tech produced vegetables is not 4.
With 95% certainty, the mean of comfortable consuming high-tech produced vegetables is
between 1,71 and 2,21 (high)
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App.5.9: Test variable privileged population (scale) One-sample-t-test
The researcher aims at confirming the literature outcome that ecotourists consider it high that
vertical farming is designed for a privileged population. Therefore, the mean of privileged
population is tested to be 2 (high).
H0: The mean of the fake representation of nature is 2
H1: The mean of the fake representation of nature is not 2
P-value = .006<.05
Accept H1: The mean of privileged population is not 2. With 95% certainty the mean of
privileged population is between 2,32 (high) and 2,73 (neutral).
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App.5.10: Test variable jobs of non-urban farmers (scale) One-sample-t-test
The researcher aims at confirming the literature outcome that ecotourists consider it high that
vertical farming takes the jobs of non-urban farmers. Therefore, the mean of jobs non-urban
farmers is tested to be 2 (high).
H0: The mean of the fake representation of nature is 2
H1: The mean of the fake representation of nature is not 2
P-value = .000<.05.
Accept H1: The proportion of jobs of non-urban farmers is not 2. With 95% certainty, the
proportion of jobs of non-urban farmers is between 3,09 and 3,59 (neutral to high).
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App.5.11: Test variable most applicable statement (nominal) Chi Square goodness-of-
fit
From the literature there are no dominant factor, therefore the mean of each statement is
tested to be 0,20 which represents an exact proportionality.
H01: The proportion of statement 1 is 0,2
H11: The proportion of statement 1 is not 0,2
H02: The proportion of statement 2 is 0,2
H12: The proportion of statement 2 is not 0,2
H03: The proportion of statement 3 is 0,2
H13: The proportion of statement 3 is not 0,2
H04: The proportion of statement 4 is 0,2
H14: The proportion of statement 4 is not 0,2
H05: The proportion of statement 5 is 0,2
H15: The proportion of statement 5 is not 0,2
P-value = .000
Accept H11, H12, H13, H14 and H15: The statements that most apply are not proportionally
distributed. Looking at frequencies, the most represented are ecologically friendly practice,
closely followed by fake representation of nature and designed for a privileged population,
which seem to be equivalent, followed by discomfort towards consuming high-tech produced
vegetables.
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App.5.12: Test difference gender (nominal) on factors (scale) ANOVA
H01: There is no difference between the groups male, female and other of the variable
gender with regards to the fake representation of nature
H11: There is a difference between the groups male, female and other of the variable gender
with regards to the fake representation of nature
H02: There is no difference between the groups male, female and other of the variable
gender with regards to ecologically friendly practice
H12: There is a difference between the groups male, female and other of the variable gender
with regards to ecologically friendly practice
H03: There is no difference between the groups male, female and other of the variable
gender with regards to comfortable consuming high-tech produced vegetables
H13: There is a difference between the groups male, female and other of the variable gender
with regards to comfortable consuming high-tech produced vegetables
H04: There is no difference between the groups male, female and other of the variable
gender with regards to privileged population
H14: There is a difference between the groups male, female and other of the variable gender
with regards to privileged population
H05: There is no difference between the groups male, female and other of the variable
gender with regards to jobs non-urban farmers
H15: There is a difference between the groups male, female and other of the variable gender
with regards to jobs non-urban farmers
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P-value factor 1 = .388>.05
Accept H01, there is no difference between the groups male, female and other of the
variable gender with regards to the fake representation of nature. The mean is situated at
2.64 (neutral).
P-value factor 2 = .283>.05
Accept H02, there is no difference between the groups male, female and other of the
variable gender with regards to ecologically friendly practice. The mean is situated at 4.50
(low to very low).
P-value factor 3 = .641>.05.
Accept H03, there is no difference between the groups male, female and other of the
variable gender with regards to comfortable consuming high-tech produced vegetables. The
mean is situated at 2.98 (neutral).
P-value factor 4 = .128>.05
Accept H04, there is no difference between the groups male, female and other of the
variable gender with regards to privileged population. The mean is situated at 2.27 (high).
P-value factor 5 = .708>.05
Accept H05, there is no difference between the groups male, female and other of the
variable gender with regards to jobs non-urban farmers. The mean is situated at 2.67
(neutral).
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App.5.13: Test difference age (ordinal) on factors (scale) Kruskal Wallis Test
H01: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to the fake representation of nature
H11: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to the fake representation of nature
H02: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to ecologically friendly practice
H12: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to ecologically friendly practice
H03: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to comfortable consuming high-tech produced vegetables
H13: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to comfortable consuming high-tech produced vegetables
H04: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to privileged population
H14: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to privileged population
H05: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to jobs non-urban farmers
H15: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to jobs non-urban farmers
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P-value factor 1 = .062>.05
Accept H01: there is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55,
56-65, 65+ of the variable age with regards to the fake representation of nature. The mean is
situated at 2.64 (neutral).
P-value factor 2 = .968>.05
Accept H02: there is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55,
56-65, 65+ of the variable age with regards to ecologically friendly practice. The mean is
situated at 3.72 (low).
P-value factor 3 = .675>.05
Accept H03: there is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55,
56-65, 65+ of the variable age with regards to comfortable consuming high-tech produced
vegetables. The mean is situated at 2.98 (neutral).
P-value factor 4 = .390>.05
Accept H04: there is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55,
56-65, 65+ of the variable age with regards to privileged population. The mean is situated at
2.27 (high).
P-value factor 5 = .037<.05
Accept H15: there is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-
65, 65+ of the variable age with regards to jobs non-urban farmers.
The people aged in the category 36-55 years old tend to rank the factor higher. Which means
that the older the ecotourist is the more he will think that the robotized systems used in
vertical farming take the jobs of non-urban farmers.
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App.5.14: Test difference highest educational level (nominal) on factors (scale)
ANOVA
H01: There is no difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to the fake representation of
nature
H11: There is a difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to the fake representation of
nature
H02: There is no difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to ecologically friendly practice
H12: There is a difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to ecologically friendly practice
H03: There is no difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to comfortable consuming high-
tech produced vegetables
H13: There is a difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to comfortable consuming high-
tech produced vegetables
H04: There is no difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to privileged population
H14: There is a difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to privileged population
H05: There is no difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to jobs non-urban farmers
H15: There is a difference between the groups none, middle school equivalent, high school
equivalent, bachelor’s degree, master’s degree, doctorate degree, professional degree and
other of the variable highest educational level with regards to jobs non-urban farmers
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P-value factor 1 = .448>.05
Accept H01: there is no difference between the groups none, middle school equivalent,
high school equivalent, bachelor’s degree, master’s degree, doctorate degree, professional
degree and other of the variable highest educational level with regards to the fake
representation of nature. The mean is situated at 2.64 (neutral).
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P-value factor 2 = .580>.05
Accept H02: there is no difference between the groups none, middle school equivalent,
high school equivalent, bachelor’s degree, master’s degree, doctorate degree, professional
degree and other of the variable highest educational level with regards to ecologically friendly
practice. The mean is situated at 3.72 (low)
P-value factor 3 = .648 >.05
Accept H03: there is no difference between the groups none, middle school equivalent,
high school equivalent, bachelor’s degree, master’s degree, doctorate degree, professional
degree and other of the variable highest educational level with regards to comfortable
consuming high-tech produced vegetables. The mean is situated at 2.98 (neutral).
P-value factor 4 = .045<.05
Accept H14: there is a difference between the groups none, middle school equivalent, high
school equivalent, bachelor’s degree, master’s degree, doctorate degree, professional
degree and other of the variable highest educational level with regards to privileged
population.
From the Bonferroni test, the mean of bachelor’s degree is situated at 2.07 (high), alongst
with high school equivalent, professional degree and doctorate degree. However, the mean
of master’s degree is situated at 2.59 (neutral).
P-value factor 5= .150>.05
Accept H05: There is no difference between the groups none, middle school equivalent,
high school equivalent, bachelor’s degree, master’s degree, doctorate degree, professional
degree and other of the variable highest educational level with regards to jobs non-urban
farmers. The mean is situated at 2.67 (neutral).
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App.5.15: Test difference current occupation (nominal) on factors (scale) ANOVA
H01: There is no difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to the fake representation of nature
H11: There is a difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to the fake representation of nature
H02: There is no difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to ecologically friendly practice
H12: There is a difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to ecologically friendly practice
H03: There is no difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to comfortable consuming high-tech
produced vegetables
H13: There is a difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to comfortable consuming high-tech
produced vegetables
H04: There is no difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to privileged population
H14: There is a difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to privileged population
H05: There is no difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to jobs non-urban farmers
H15: There is a difference between the groups employed, student, out of work, retired and
other of the variable current occupation with regards to jobs non-urban farmers
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P-value factor 1 = .186>.05
Accept H01: there is no difference between the groups employed, student, out of work,
retired and other of the variable current occupation with regards to the fake representation of
nature. The mean is situated at 2,64 (neutral).
P-value factor 2 = .808>.05
Accept H02: there is no difference between the groups employed, student, out of work,
retired and other of the variable current occupation with regards to ecologically friendly
practice. The mean is situated at 3,72 (low).
P-value factor 3 = .488>.05
Accept H03: there is no difference between the groups employed, student, out of work,
retired and other of the variable current occupation with regards to comfortable consuming
high-tech produced vegetables. The mean is situated at 2,98 (neutral).
P-value factor 4 = .691>.05
Accept H04: there is no difference between the groups employed, student, out of work,
retired and other of the variable current occupation with regards to privileged population. The
mean is situated at 2,27 (high).
P-value factor 5 = .242>.05
Accept H05: there is no difference between the groups employed, student, out of work,
retired and other of the variable current occupation with regards to jobs non-urban farmers.
The mean is situated at 2,67 (neutral).
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App.5.16: Test correlation familiar with vertical farming (scale) on factors (scale)
Pearson’s R
H01: There is no relation between variable familiar with vertical farming and the fake
representation of nature
H11: There is a relation between familiar with vertical farming and the fake representation of
nature
P-value = .022<.05
Accept H11, there is a relation between familiar with vertical farming and the fake
representation of nature. The correlation coefficient is -0,230, which means the correlation is
negative and weak; with many exceptions, the more someone considers himself familiar with
vertical farming, the less he thinks that vertical farming is a fake representation of nature.
H02: There is no relation familiar with vertical farming and ecologically friendly practice
H12: There is a relation between familiar with vertical farming and ecologically friendly
practice
P-value = .211>.05
Accept H02, there is no relation familiar with vertical farming and ecologically friendly
practice
H03: There is no relation between familiar with vertical farming and comfortable consuming
high-tech produced vegetables
H13: There is a relation familiar with vertical farming and comfortable consuming high-tech
produced vegetables
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P-value = .109>.05
Accept H03, there is no relation between familiar with vertical farming and comfortable
consuming high-tech produced vegetables
H04: There is no relation between familiar with vertical farming and privileged population
H14: There is a relation between familiar with vertical farming and privileged population
P-value = .913>.05
Accept H04, there is no relation between familiar with vertical farming and privileged
population
H05: There is no relation between familiar with vertical farming and jobs non-urban farmers
H15: There is a relation between familiar with vertical farming and jobs non-urban farmers
P-value = .492>.05
Accept H05, there is no relation between familiar with vertical farming and jobs non-urban
farmers
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App.5.17: Test correlation gender (nominal) on statement that most applies (nominal)
Fisher’s exact test (due to invalid Chi square test >20% of cells with expected count lower
than 5)
H0: There is no relation between gender and the statement that most applies
H1: There is a relation between gender and the statement that most applies
P-value = .810>.05
Accept H0: There is no relation between gender and the statement that most applies.
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App.5.18: Test difference age (ordinal) on statement that most applies (nominal)
Discriminant analysis
H0: There is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+
of the variable age with regards to the statement that most applies
H1: There is a difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-65, 65+ of
the variable age with regards to the statement that most applies
P-value = .174>.05
Accept H0: there is no difference between the groups <18, 18-25, 26-35, 36-45, 46-55, 56-
65, 65+ of the variable age with regards to the statement that most applies.
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App.5.19: Test correlation highest educational level (nominal) on statement that most
applies (nominal) Fisher’s exact test (due to invalid Chi square test >20% of cells with
expected count lower than 5)
H0: There is no relation between highest educational level and the statement that most
applies
H1: There is a relation between highest educational level and the statement that most applies
P-value = .292 >.05
Accept H0: There is no relation between highest educational level and the statement that
most applies.
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App.5.20: Test correlation current occupation (nominal) on statement that most
applies (nominal) Fisher’s exact test (due to invalid Chi square test >20% of cells with
expected count lower than 5)
H0: There is no relation between current occupation and the statement that most applies
H1: There is a relation between current occupation and the statement that most applies
P-value = .277 > .05
Accept H0: there is no relation between current occupation and the statement that most
applies.
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App.5.21: Test correlation familiar with vertical farming (scale) on statement that most
applies (nominal) Fisher’s exact test (due to invalid Chi square test >20% of cells with
expected count lower than 5)
H0: There is no relation between familiar with vertical farming and the statement that most
applies
H1: There is a relation between familiar with vertical farming and the statement that most
applies
P-value = .638 > .05
Accept H0: there is no relation between familiar with vertical farming and the statement
that most applies.
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App.6: Transcript focus group
Tanguy (T): So, I had a few ideas on how we could do a learning module. Mrs Gikas, my coach
for the thesis advised me to take a look at some models and see exactly what was important.
And a lot of models nowadays, they're focusing on participative learning. It's kind of like, you
know, what we got in MCH. And BMI, especially during phase three, it's like this progressive
learning where the student is kind of in charge of his learning.
Do you think there are ways that students can better educate themselves about vertical farming?
First more of in the preparation phase before the learning module? What do you think would be
interesting aspects? to approach this? My basic idea was maybe to send them some articles and
resources about it. Do you perhaps have any ideas on how can we prepare for a new learning
module?
Mrs. de Jong (M): I'm sorry, one question before: what is the target market? So you're talking
about students? But in what context?
T: Yes, so the target market for my thesis was ecotourists. And when I did my research, and I
found out about my demographics, I saw that a lot of my participants and it was confirmed to the
statistical testing, were mostly master's students and bachelor students aged 18 to 25. That was
the dominant group. So that would be my target market for now.
M: And would it then be something they learn and university? Or would it be something they
search for themselves because they're interested in topics?
T: I think it could be incorporated within courses for hotel school. I was thinking in the course the
future of foods they have this whole part about feeding the world and the world of the future. I
think it would make a lot of sense to maybe incorporate some elements into it as it is. feeding the
world is a problem completely linked to vertical farming. So could have been a great way to place
it there.
M: Yeah. Okay.
Francesco (F): Is it just from a theoretical or practical point of view, like actually just sending
them materials? Or is it something that, for example, you forecast to go and visit a farm or do a
little farm experiment?
T: So yeah, that was also something I was considering. The way I was thinking about it was to do
a pre module type of preparation. So, in the sense of progressive learning where they can first
build up a list of questions about it, then we could have the actual learning module, where we will
do something that I want to talk to you about. I thought about visiting some farms, why not
introduce a farming concept in hotel school, The Hague as we have the resources, and also the
mindset, I think people are quite open to the idea nowadays. Or other things, maybe something a
little bit more low key, then, because visiting a farm or building one are quite some ambitious
projects.
So definitely something we can touch upon. But let's keep this for later.
M: Maybe back to your question, probably because now I understand better the context.
T: Yes. So back to the question. In the preparation phase, I will go before a learning module.
What do you think is best like sending them resources and they can build a list of questions or…
Gemma (G): question about this sorry, like also still preparing kind of the answer? So,
preparation phase for the institution that would teach the model or preparation phase for the
students are ready who are the final recipients of this?
T: It would be for the recipients? Yep. Okay. Yep.
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G: I think it's always really important to…Yeah, maybe sounds overly simplistic, but to keep it
interesting, so do not, I would not send a bunch of articles or like really just diverse information
but concise. Like you know, like a one-pager where like, the whole concept of vertical farming is
introduced, maybe like starting with: Okay, where did it start? You know, what is the idea what is
like the why behind it? What is the potential to, you know, because I think the topic is super
interesting, but if I would receive an email with five documents in it and like, yeah, all kinds of
different information? I'm not sure I would go through all of that, even though I do care about it.
So, yeah, they weren't to, you know, think like, the people who receive it. Okay.
T: No, that completely makes sense. And then Gemma in this kind of thing, do you think that
video would be something more appealing to a student, for example?
G: could be, I think that same thing would apply just like for written texts and one-pager. I think
they're to keep it under 10 minutes, I think what makes sense because when it goes beyond that,
it quickly becomes not okay. You need to find time to sit down and do it. But also, obviously,
there, if it's kind of an obligation that you have because it's part of your course, you know, people
have I think, are more willing, or, you know, there's more motivation. So it's, I think you also need
to consider whether it's completely voluntary, you know, in that sense, or whether there's also
like some other motivators there.
T: Okay. Yeah. Francesco?
F: Yeah, kind of like an infographic that would introduce the topic, I still think is important to just
like, plant the seed, and send an email, but do not expect that if you send some documents
people are going to read it. I think is mostly just to introduce them to tell them like this is what is
going to happen. Because I think that there will be a big filter between the people that would read
it in the sense, probably, honestly, 90% would read it would be “cool”, and close the email. But
then you have a 10%, which I think is probably more about your target market, which is
something that would be interesting, what I think could be interesting, maybe it's not just doing it
from school, but include some other parties to send the emails or something. I'm thinking for
example, in HTH, the investment club, because I think since vertical farming is also something in
the future, something that maybe you have also a lot of people that could be interested in
investing. And that's why including also that type of market is, is a nice touch.
T: Okay, so you would like to maybe have a cooperation with some sort of a vertical farm outside
that directly prepares a well concise document aimed at students?
F: Already, then I think they will go a bit later. Like, because the thing as well as I think first, you
also have to check if there is this willingness to this day, like you should kind of first see and
check. Okay, the students of HTH, actually really interested. I don't know if you've already
confirmed that or not. Because if you then start and go with this project, but then you see that
there is a lot of likes, the ad reaction from the students… I think it could be a bit meh…
T: I think the plan of the solution was to kind of introduce the pilot, or it would be a test. And if it
were to be successful, and we would get a nice reaction from the students, it would be nice, and
I’d like to go further with the idea and then build up into projects into vertical farming and make it
a part of hotel school. Eventually, you know, but I was more seeing this solution as a bit of a pilot
test. Exactly. So, I didn't test it yet. But it would be the test. Somehow.
F: What comes to mind when I think about this is, for example, a lot of people will be like oh
really cool, but maybe they can also say: depends on if you propose it if it's to solve world
hunger. People might tell you “Okay, very clever. Very cool, but why vertical farm? Why not
something else?”
T: Yes, Mrs. de Jong?
M: Yes, I think there are lots of ideas I have in my head. So, what I was thinking is that, of
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86
course: how to engage students and what kind of learning could you apply to it? In my
experience, most education we're sort of still too much sort of putting a job, so this is it, just read
it and do an assignment. And so, I would prefer if you would come up with something to flip that.
Okay well we're all interested in vertical farming or that that's the goal of this of use. That groups
of students are going to look into specific topics or known topics so okay you're going to dive into
this topic and now please present back in the first time we meet and then you have all the
specialists that are going to share information acknowledged. It's called the Jigsaw method. And
then you can learn from each other. If you want, I can send you the link if you like but there's a
difference here are you can use that differently and the learning should be the responsibility of
the students instead of the teachers. Because what are teachers going to say? “Okay, this is
what vertical farming is about. And okay, I just read it because that's it”. I don't think that's the
most inspiring. But of course, it is possible to develop a database with lots of articles that are
being collected by the students. So, I think if I look at the work you've done, we're not still
collecting that in one database or website or whatever. So, it would be great if we can actually
use that and build upon that and make it available and accessible for everyone. So that students
from this new course that hopefully will become reality, can be a starting point if they do their
research, for example.
T: Okay, that's a very good insight. Do you think maybe a good, I'm thinking out of my head right
now, from what you're saying, do you think the triple-bottom-line could be a good division.
Because, as I said in my introduction, there's a lot of aspects linked to employment, to elitism
that are kind of going towards people. We obviously have the problem of profits with vertical
farming: that people are really doubting the model at the moment. And of course, the big
ecological question mark as well. Do you think that could be a good starting point to think of the
triple-bottom-line in this type of Jigsaw situation?
M: Yeah, yeah, for sure. It might be too broad still, but depends on it indeed. I think that's
definitely interesting. To look into it from different perspectives, for sure.
G: Okay, maybe to add up to that. I think also, because I think we've applied this kind of model or
this kind of practice a couple of times in school, and I think it need more practice. So instead of
writing down the information on anything, I would really make sure to divide them: like different
groups or students with very different topics. So that there's less like, little repetition. Because
what we often experience in schools, that three or four groups have the same topic. And then
everybody's kind of saying the same and then you don't enjoy presenting and the people who like
listen to you are also not enjoying it because they have written the same thing. So, to really make
an impact there you maybe need more than the three elements of the triple bottom line. Maybe
one can look at the history, best practices, you know, these kinds of things.
T: Also thinking out of my head, so we've been taking this jigsaw right now as a kind of a starting
point. What would you think about doing it as the final point? As Francesco said, the potential
idea of visiting a farm, of having a more of a hands down experience. Wouldn't it be a nice thing
then for them to build up a list of questions to create their presentation and they can get their
actual answers from an experienced worker? So if they were to visit a farm, they can directly ask,
what is your opinion on this, on this, on this, and from those information and articles they read on
the site, they can build up their presentation and conclude it for the whole group?
F: If you talk about in the future of food course, they also do a lot of site visits, and this type of
projects that they go and visit and they can actually get information on site. So, I think, for me, it
would really match what you're saying.
G: Yeah. I think it's a nice idea. Maybe also a bit of what I think are these kind of time capsules
that I think schools or like different organizations sometimes sort of plan with students. Write
thoughts that people have at the time, but maybe you could kind of… Yeah, switch it around a
little bit and collect like I don't know statement about okay, their current opinion on vertical farms
at the beginning, before you start sharing any information, without doing any homework. And
then, kind of keep those I don't know, digital post for later, and then let them do the same thing in
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the very end to really be able to contrast you know. And maybe then also have a bit of the
reflection sort of, okay, what they've learned through the experience on the vertical farm. You
know, like how you were able to change their opinions.
T: I really liked this idea. Because it would really fit my problematic that people are somehow
facing a type of miseducation. So, if you can see the before/after I really like this it and I think it's
also a good thing for them to realize that within the time of a course, they can actually change
their opinion about this so I think it's a very good idea Gemma. Okay, we don't have much time.
So, let's move on to another topic: the experience itself. So, we've been thinking about visiting a
farm which completely fits, I think, the hotelschool kind of vibe. Do you perhaps have any other
idea? I know that something I have come up with is that a lot of people from my survey, they
indicated that they thought products from vertical farming were not going to taste good. Do you
think it would be nice, as in future of food they do a lot of tastings, to perhaps do a blind tasting
where you give them like a vegetable from the supermarket and a vegetable from vertical
farming, and they kind of get to see for themselves.
F: Yeah, I think that's really cool, kind of like a workshop?
T: And that would fit maybe into the visit perhaps that could be organized as well. So yeah,
besides farming experience, tasting workshop, did you think that creating a farm at hotelschool
would be relevant or it's a project for later?
M: Depends what timeline you're talking about. I think it would definitely be relevant, but then it's
not that it's a must have for the course. But it would be nice to have, but it's more based on my
gut feeling than anything else.
F: I think it also depends on the size. If it's just to show or if it's actually to produce. Because to
show, you can do it. I mean, even if it doesn't produce it's just to show you, so it don't really
matter. But if you want to use it, I don't know. You want to incorporate it with products there is a
need for. And then you need something completely different.
T: Okay. I would need to look into it if it's true or not, but I believe one of the universities in the
Netherlands build their own vertical farm it might be Wageringen university. Do you think it would
be better to educate students through a vertical farm experts, so, go to a real vertical farm or to
get experience from students within education and visits like another school and get the feeling
from students that experience it's directly?
F: I think the second one personally, I think Wageringen is the most famous agricultural school in
the world. So that's also a bit of the difference. In the sense, not to talk against Hotelschool, but
like in the terms of vertical farming, they probably have way more knowledge because they're
masters. There's literally masters about vertical farming. And I think there is, because I met also
from the teachers, a lot of people that studied there, and I think what struck me was like, they're
all really passionate about it. So even the students and they are like our age, so I think could be
something very interesting, because maybe when you go to, or at least what I felt when you talk
to an expert and you don't know the topic, I felt sometimes a bit awkward even asking the
questions not to sound dumb. Like literally with this a student, he is just going to laugh about it.
And maybe he has 80% of the knowledge of the expert, but I feel way more comfortable in
asking the questions and I think I can feel the patience way more.
T: Okay, that's good insight. So, something to keep in mind for sure. Okay, so that was more of
the experience part and then the last topic I kind of wanted to talk about is how can I evaluate
this module. How can I see that it has planted seeds within those students and it actually made a
change? We discussed already, maybe doing a presentation to see like what they have retained
from the experience? Do you think of any other evaluation tools on how I can kind of test the field
and see if I'm actually making an impact with the solution?
M: I like the suggestion that Gemma made: measuring it upfront until measured afterwards.
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Maybe if I may come back to the previous question. I think it would be great if you can visit
Wageringen. But I think what also is good to take into account that if I think about vertical
farming, I think about huge vertical farms. But there's also sort of relatively small initiatives that
create quite a lot of value. If you think about the vertical herbs planted. I think it's good to also
take that into perspective. Because the range is very different. And then if you look at triple-
bottom-line, I think there’s a lot to gain from relatively simple. So, it might be good to showcase
that somehow.
T: Okay.
F: I don't know if this could be possible Mrs. De Jong, but what if you actually do kind of like the
creation of the vertical farm as the steps afterwards? Kind of like a possibility for students to do
their LYCar in hotelschool and help launch a vertical farm? Like, perhaps from the students or
future food, and see I'm gonna say like, we're gonna take maybe one or two people from each
semester to see if they're interested and they can do their LYCar to help launch the vertical farm.
T: Then you would put it as a track three entrepreneurship type of thing? commissioned by the
school or a specific teacher, if I understand well?
F: Yeah, I don't know if it will be track three, because track three is your own company. I think is
more like track one.
M: Yeah, but it can be commissioned by SDG community. Because there's also money there,
and we can make that more operational part. But that makes it feasible to actually do some
experiments, I think. Yeah, to add to you, Francesco, I think, definitely it is possible, but I think
there's already some ideas on paper, but it would be great if sort of students can take over and
take their case to a real case and an experiment on that. Because my assumption is that it needs
to have a step by step plan and the basics if you start with the basics that I think there's still a lot
of potential to add information and knowledge but also actual physical plans to it. So yeah.
T: Maybe this is an outcome of the learning module. As first a confirmation whether hotelschool
is ready for something like this, because I don't think there's a point in running towards a vertical
farm if we see that the students are not reactive for this idea.
G: I think, in a way, maybe I'm also being very optimistic with this, but I think that there would be
a very, like, there would be a lot of openness. I mean, I've also been following a big club
beekeeping club kind of that's been happening, you know. And this kind of constantly reminds
me of what we're talking about now. So, I think that maybe you don't need crazy many students
to join in for like our kind of, but maybe to make it also an easier decision. It could be an option to
just turn it into more of a… Yeah, extracurricular kind of thing. So, like a club. Maybe to build it,
rather than to connect directly to LYCar because, you know, LYCar is still a very significant step.
And everybody's kind of… Yeah, I don't know, academic path, sort of, so not everybody might
want to commit to the risk of Okay, what if things go kind of sideways? What if there's a delay, it's
not happening and then you're just kind of sitting there and you're like, gross, not going as
planned. Or maybe you don't necessarily want to, like follow a career in that direction, but you
would love to participate. So maybe a more voluntary kind of less commitment. And kind of
option.
M: I think your question was, how can we assess deliverable? Right, so I think it depends on a bit
how you integrate it. So, if you would integrate it in the future of food, I would assume that you
could just use your information or the knowledge gathered from vertical farming into your final
future of food, deliverables. And to be honest, I don't know what it is. It's either report or pitch.
So, because then you're actually using the application to a broader set of knowledge.
T: Yeah, I think their final deliverable is they have like an outside company coming up with a
challenge and you need to fix it with a solution. The problem is, I don't think every block we can
make it about vertical farming. Maybe it can be the problematic for one block, but eventually…
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And it's also a bit of a thing that I struggled with, because in the assessment tool, there's no test
in future of food. There's not like, they don't have a written exam. They only have this challenge
part. So, I don't think I can assess it. However, we can assess the consequence through the time
capsule idea of Gemma, which would be enough. And I also know that in future of food, they
already have like some tasting and they talk about I don't know that this whole part about also
like edible consumption and everything. So, they already touch upon this topic but they don't
really follow up with a written exam. So, I do think that it could fit the curriculum of future food.
M: Yeah, I think it's nice to also see if you can build all the resources and maybe use that as a
goal to expand the resources and the knowledge on online.
T: Yeah, Francesco?
F: I don't know if this could be something feasible. For example, I take maybe, as you said, you
cannot do this for like, three years in a row. But what if you use it in different blocks? Because I
think future food could be the beginning. Because it's probably where the people are more
interested, and they could actually choose to touch on vertical farming. But then, I don't know if
what you would if you use it in other blocks such as Mrs. De Jong could BMI and you take
vertical farming company, as a case study. More in the future, because I don't think probably
now, vertical farms would be ready for it. Their market would probably not be, let's say stabilized.
So, you can actually just plant the seed with future food and then maybe you go with BMI and
you grow I don't know, with SDV or something like this.
T: Yeah, I actually took the overview of the curriculum as well for the master programs of
hotelschool, and I found some links some courses do link or could potentially be affected by such
an idea. But as, as you say, Francesco, I think it's more of a future type of plan. If it works out the
pilot works out for future foods, which remains the most relevant, in my opinion, then it could be
an idea to implement it in the master's program. As I saw from my study, that a lot of ecotourist
are master’s students because they have more means they are more experienced with
everything. So yeah, I think it's the next step.
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App.7: Introductory Resource
Useful Links
Articles:
• Vertical Farming Using Information
and Communication Technologies
(infosys.com)
• Vertical Farming: Sustainable Food
Never Tasted So Good (forbes.com)
• 5 Exciting Vertical Farming Careers |
Eden Green Technology
• Rationale for Vertical Farms
Videos
• What is vertical farming? - YouTube
• Vertical farms could take over the
world | Hard Reset by Freethink -
YouTube
• TEDxWindyCity -- Dickson
Despommier -- The Vertical Farm -
YouTube
Source : INFOGRAPHIC: How vertical farming could help cities feed
themselves (inhabitat.com)
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App.8: Overview of HTH courses and learning objectives
Degree
Year /
Block
Course
Content
Bachelor
1
Practical
education
Practical application in restaurant, hotel and
reception
Operations
Explore hospitality
Personal
leadership
Develop personal leadership skills
English
Communication in business setting
Tutoring / skills
Studying effectively
Finance
fundamentals
Cost accounting and management accounting
fundamentals
HR / culture
fundamentals
Understand the principles of HR functioning
2nd language
Communicating in another language
Marketing
fundamentals
Marketing communication plan
Market analysis
Market segmentation and mix
Data analysis &
research
fundamentals
Analyse a problem through design-based
research approaches
2
Practical
placement
Internship abroad
Entrepreneurial
business plan
Undertake an entrepreneurial project
Extended
finance
Feasibility of business projects
Cash flows
Time value of money
Revenue / yield
management
Setting prices in hotel industry
Project
management
Project management methodology
Data analysis
extended digital
skills
answering complex questions based on data
Personal
development 2
Leadership skills
3
Managing an
outlet
Running a business
Improving the
outlet
Improve the business
Business
transformation
Analyse business performance of a hotel
Business
inspiration day
Get inspired by different companies
Personal
development 3
Leadership skills
4
Minor future of
food
Linked to what happens in the food
industry
Minor future
guest
experience
Linked to advanced marketing
Minor future of
business
Linked to advanced finance
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Minor future of
work
Linked to advanced HR
LYCAR
proposal
Personal project
LYCAR
execution
Personal project and intership
Master
1
Strategic
Foresight
Strategic planning
Future thinking strategies
Digital
development
Impact of technology on industry
Integrating technology in hotel industry
Sustainable
leadership in the
hotel ecosystem
Models of sustainable operating
Design Based
research
Research methods based on proper evidence
collection
Personal
leadership
Factors and biases involved in decision-making
Development of self-awareness
Development of decision-making skills
2
Innovation and
culture in hotels
Models to create an innovative corporate eco-
system
Agile and lean thinking
Circular thinking
in the hotel
ecosystem
Triple bottom line thinking in hotel
Understanding circular economy
Sustainable
leadership and
internal
stakeholders
Human resources management
3
Transformation
of the hotel
Business model transformation for hotels
Guest
experience in
the hotel
industry
Technology entering the industry
Integrating technology for the guest
experience
4
Final thesis
Personal research
MBA
1
Hospitality in
perspective
Understanding the meaning of hospitality
commercially, privately, and socially
Business
strategy
Analysis of strategy
Hospitality
Leadership
Journey
Leadership development
2
Financial
decisions
Investment proposal analysis
Computing costs and revenues
Organisation
behaviour
Human resources management
Digital
technology
Evaluating digital technology
Business
research and
consultancy
project intake
Designing a consultancy project
3
Hospitality
experience
design
designing innovative guest / customer
centred services
Hospitality audit
Service excellence framework
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High tech / high
touch
Big data and information handling
4
Leading
hospitality
change
Organisational dynamics
Change strategies and interventions
5
Consultancy
project
Personal project
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App.9: Research Gate dissemination
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95
App.10: Social media dissemination
LYCar CPR 2122B – Tanguy Pechoultre de Lamartinie – 672055 – The Hague
96
App.11: Dissemination to VF experts
`
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97
App.12: Dissemination to hospitality businesses
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98
App.13: ResearchGate dissemination reactions
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99
App.14: Social media dissemination reactions
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100
App.15: VF experts dissemination reactions
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101
App.16: Proof of Data Management upload
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Proof of word count
Words in body: 11241 words
Words in figures: 755 words
Total number of words: 11996 words
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