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Contactless hospitality in a
post-Covid-19 world
Sima Rahimizhian and Foad Irani
Faculty of Tourism, Eastern Mediterranean University, Famagusta, North Cyprus
Abstract
Purpose –This study aims to investigate the mediating effect of consumer innovativeness in the relationship
between tourism inclinations and revisit intention. This study focuses on the significance of innovative
technologies that help to reduce physical contact and optimize operations and services to offer a direct added
value to hospitality businesses and their customers.
Design/methodology/approach –This study uses a self-reported survey design using an online
questionnaire to collect data from randomly selected potential tourists. The survey was in English. Data
collection was carried out from June to July 2020, and a valid sample of 272 responses was obtained for data
analysis.
Findings –The data were analyzed using ADANCO software. The study suggested that tourism inclination
has both direct and indirect impacts on revisit intention through innovativeness.
Originality/value –This study allows a deeper understanding of the importance of contactless and low
laborer-interaction technologies that help hospitality industry to win back pandemic-sensitive customers once
this outbreak is over. To do this, the mediating effect of consumer innovativeness on their intention to revisit a
tourist destination post-Covid-19 was investigated.
Keywords Covid-19, Touch-less technology, Tourism inclinations, Innovativeness, Revisit intention,
Hospitality
Paper type Research paper
1. Introduction
The Covid-19 epidemic began in Wuhan, China, in December 2019, and is spreading rapidly
throughout the world (Lipistch et al., 2020). It was declared as a pandemic in March 2020 by
the World Health Organization, with countries such as China, Italy, Spain and the USA
being hit the hardest. At present (August 24, 2020), there have been 23,311,719 confirmed
cases, including 806,410 deaths (www.who.int). The uncertainty and further restrictions
imposed due to the outbreak of Covid-19 had a dramatic impact on travel and tourist
destinations. Covid-19 has indeed expedited the immersion of new technologies and
applications within tourism and hospitality operations. Technology novelties that might
have been mainly designed for launching as innovations or extra services are suddenly
becoming obligations in a time where some people are cautious of traveling (Ivanov et al.,
2020). Despite the devastating blow, Covid-19 gives the tourism industry a chance to
recover itself. All industries worldwide are attempting to sustain consumer trust and keep
the economy going. Rules such as mask-wearing, hand-sanitizing and social distancing are
being admitted as new norms, and touch-free or contactless technologies are being
considered as solutions to keep people isolated while continuing to conduct businesses.
These solutions could be replacing actual menus with scannable QR codes, contactless
hotel check-in capabilities, mobile room keys, touchless payments and in-app ordering
(Fipra, 2020). Practically most aspects of the hospitality activity can now be accessed by
Contactless
hospitality in
post-Covid-19
world
© Sima Rahimizhian and Foad Irani. Published by Emerald Publishing Limited. This article is published
under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute,
translate and create derivative works of this article (for both commercial and non-commercial purposes),
subject to full attribution to the original publication and authors. The full terms of this licence may be
seen at http://creativecommons.org/licences/by/4.0/legalcode
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/2516-8142.htm
Received 26 August 2020
Revised 13 November 2020
18 November 2020
Accepted 19 November 2020
International Hospitality Review
Emerald Publishing Limited
2516-8142
DOI 10.1108/IHR-08-2020-0041
customers’own mobile devices, provided that hotels have embraced the appropriate
software.
The Covid-19 outbreak will certainly increase continuous changes, and, predictably,
the tourism industry pays more attention to avoid tourism activity in mass tourism
destination (Fipra, 2020). How people spend their leisure time is shifting due to the
outbreak and related social distancing rules, and these attitudes are likely to be sustained.
Consumers are adopting technology more than ever to maintain all aspects and results of
isolation. For businesses operating in the travel industry, it is necessary to keep up with
the latest travel technology inclinations. While the provision of services and experiences
in the hospitality and tourism industry has steadily been influenced by technological
advances, research on tourist inclination to adjust and adapt to innovations in
technology-driven services is incomplete (Wang, 2015). Recognition and employing
technology trends can enhance the efficiency of business operations and further improve
the consumer experience; hotels and other businesses must keep up-to-date with the
emerging travel technology trends, so they do not fall behind competitors. More research
is currently required to define and target highly inclined customers to embrace new goods
or services as an innovative approach to their requirements (Rahimizhian et al., 2020b). In
the tourism domain, this notion has not been researched (Hwang and Hyun, 2016;Sandvik
et al., 2014).
A touchless, adaptable and customizable automation platform featuring all front-office
operations and answering particular business requirements could be a solution that the
industry needs post-Covid-19. To welcome visitors again, post-Covid-19, hospitality
businesses and tourist destinations should have a solution that can help them deal with
uncertainty. Thus, automated and contactless services can come into action. Acknowledging
the absence of either theoretical or experimental studies on the customer and contactless
services connection, researchers took a cognitive route to a sufficient understanding of such a
relationship (Ramadan et al., 2017). The main aspects of the context of this paper contribute to
the theory of planned behavior (TPB), which was applied to propose a conceptual structure
for this research. As one of the most popular models of attitude–behavior associations
(Fishbein and Ajzen, 1977), TPB offers a conceptual framework for assessing attitudes
toward the use of contactless service and its expectation and intent of use. The essence of this
causal model is the belief that the direct determinant of a particular behavior is the innovation
of consumers in the usage of contactless services.
This study aimed to examine the influence of tourism inclination on travelers’revisiting
intention through innovativeness by adopting a structural equation model (SEM). Therefore,
the study attempts to answer the questions regarding the impact that touchless technologies
might have on tourist’s desire to visit tourism destinations post-Covid-19. Thus, the objective
of this research study is designed to answer how technological innovations might act as an
appropriate solution for those tourist destinations that are economically dependent on
tourism revenue. The proposed research model has been developed and tested (see Figure 1).
Discussions of findings, theoretical and practical implications, as well as suggestions for
future research are addressed.
2. Theoretical framework and hypothesis development
2.1 Tourism inclination and innovativeness
The Covid-19 spread forced tourism practitioners to seek out technological innovations for
sustainable tourism development (Ivanov et al., 2020). Generally, tourists seem quite receptive
to technological advancements (Zhong et al., 2020). The tourists’attitude perceived
technologies positively since the risk level reduces and reliability increases (Kaushik et al.,
2015). Innovativeness and diffusion of innovations are well-established constructs of
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consumer research (Goldsmith and Flynn, 1992). Innovativeness was defined by Rogers
(1995) as “the degree to which a person or other unit of adoption is relatively earlier in
adopting new ideas than other system members”(p. 22). Each consumer is distinguished from
another by this particular variable difference. Innovation is seen as motivated by the novelty-
seeking, the demand for stimulation, the independence from the knowledge of others, and the
need for uniqueness (Roehrich, 2004). In line with previous studies in the tourism context,
tourists are different in their acceptance of new technologies and the attitudes toward them
(Webster and Ivanov, 2019). In other words, consumers who exhibit greater innovativeness
over a new service may have a greater possibility of being an early adopter of innovative
offerings than other customers (Hadi et al., 2020;Strutton et al., 2011).
According to Koschate-Fischer et al. (2018), experiencing a life event leads to an increase in
consumer innovativeness. A study by Wen et al. (2005) noted that the SARS outbreak had
impacted tourists’inclinations and preferences, particularly the types of tours and travel
patterns. While people tend to be more involved in outdoor and eco-tourism events, and city
residents prefer to travel to the suburbs and countryside, the need for social distancing has
raised many new issues. Many post-pandemic tourists will demand touchless innovative
options. Such innovative solutions enable them to enter their information in advance of
arrival at the airport or hotels on their smartphone and privilege access to all essential touch-
points based on a touchless facial match. Therefore, the following hypothesis is suggested:
H1. Tourism inclination positively influences innovativeness.
2.2 Innovativeness and revisit intention
Innovativeness is to predict the level of personal innovativeness before the adoption process
happens (Kirton, 1976). As the majority of consumers tend to continue innovation post-Covid-19,
involving innovative consumers is essential to the success of unique services. Bhatti (1970)
examined innovativeness in the context of mobile commerce adoption. Agarwal and Prasad
(1998) stated that innovativeness affects consumers’attitudes in terms of technology advantages.
Moreover, innovativeness has been considered as a factor influencing online travel shopping in
previous investigations (Lee et al., 2007;Steinbauer and Werthner, 2007). It has also been
incorporated in prior Technology Acceptance Model (TAM) studies in tourism, although not to a
great extent.
The tourism and hospitality industry is sensitive to health diseases, and as it is happening,
the Covid-19 caused many degradations to the industry; therefore, paradoxical actions of
enhancing the current quality and adopting novel strategies always are required to the
sustainable development of this industry. Consumer innovativeness is the desire to do new
things (Midgley and Dowling, 1978). On four subjects, Roehrich (2004) discusses the forces
that cause this predisposition. They are the need for stimulation, seeking novelty, freedom
Revisit
intention (RI)
Innovativeness
(INNOV)
Touris m
inclinations
(TI)
Figure 1.
Proposed
research model
Contactless
hospitality in
post-Covid-19
world
from the communicated experience of others and the need for uniqueness. The person is
motivated by these forces to (1) look for new information, (2) drive them to differentiate
themselves by owning rare items and (3) independence of judgment in innovative decisions
(Hirschman, 1980;Roehrich, 2004). These studies conclude that consumers’innovativeness
makes them inclined to try new services as well as their visit frequency to the place. A study
by Boyle and Ruppel (2006) ascertained that individual innovativeness has a significant
positive association with online purchasing intention. Also, Lu (2003) observed compatible
results through research that found statistically significant support for the positive and direct
impact of innovativeness on consumers’continuance intention.
Touchless facilities reduce the risks and encourage the visitors to experience the new era
of tourism and hospitality industry. Therefore, these kinds of protocols that reduce the risk of
diseases will help both the industry to promote touristic activities and the organizations to
retain their visitors (Hwang and Hyun, 2013). Therefore, innovativeness positively influences
the tourism and hospitality industry. Thus, it is hypothesized that:
H2. Innovativeness positively influences revisit intention.
2.3 Tourism inclination and revisit intention
The uncertainty and further restrictions that arose due to the outbreak of Covid-19 has had a
dramatic impact on travel and tourist destinations. Measures of social distancing have
significant effects on participation in activities. Most people are temporarily jobless or work
remotely from home, and most leisure events have been canceled. Travel demand is therefore
rising, and many nations have now seen dramatic decreases in traffic flow –reducing
congestion and air pollution –as well as in public transport traveling (Goldbaum, 2020). This
situation is temporary, and, once this crisis is over, participation in the out-of-home activity
and travel demand is expected to increase. However, if social distancing rules are eased,
tourists might still fear social contact, affecting involvement in the activity and travel.
Therefore, tourism recovery typically begins locally.
Tourists prefer short-distance traveling, and their priority normally goes to easier way of
experiencing travel; however, providing comfort zone can encourage the tourists to go
beyond traveling domestic. People intrinsically are curious to experience, and the conditions
can motivate them to go beyond. According to a report by Kiesnoski (2020), there are more
future reservations for the holidays now, compared to the same period last year, which
indicates that many people who are unable to travel at present are planning for later in the
year. Accordingly, the following hypothesis is formed:
H3. Tourism inclination negatively influences revisit intention.
2.4 Mediating effect of innovativeness
Uncertainty is strongly related to the degree of innovativeness. By rising the degree of
innovativeness, more technological discontinuities and market-related changes occur (Salomo
et al.,2007). However, innovativeness was principally supposed to remain constant in an
individual’s life; the particularistic aspect proved that innovativeness is socially influenced
(Hirschman, 1980). Thus, it would seem that any rebound in travel and tourism, brought to a
screeching end by the Covid-19 pandemic, will start again, and the travel plans will increase for
the following month (Kiesnoski, 2020).
Consumer innovativeness as a preference to explore and try novel ideas infers a desire to
experience new services before other customers do (Roehrich, 2004). Decline in tourism and
economic crisis could generally enhance innovativeness and create competitive advantages
for hospitality companies and communities that can transform the concept into distinct forms
of operation and management. According to Wood (2010), people who are currently working
IHR
in new, changing and unpredictable environments would be more frequently open to fresh
and unfamiliar choices. Consistent with this perception, Koschate-Fischer et al. (2018)
affirmed that consumer innovativeness was positively affected by particular events (e.g.
tourism inclinations). Therefore, as innovation increases, consumers’intention toward
revisiting a touristic destination is expected to increase during Covid-19; thus, it is
hypothesized that:
H4. Innovativeness mediates the relationship between tourism inclinations and revisits
intention.
3. Method
3.1 Procedure and sample
In the beginning, the idea of this research was conceptualized based on the extant literature,
and the research team clarified the aim of this research. The questionnaire was developed by
using items from the relevant literature. The questionnaires were designed and posted by
SurveyMonkey online as a self-administrated online questionnaire through social media. Hair
et al. (2010) suggested that to ensure the validity, 10–15 participants per measurement items
should be recruited. There are 11 measurement items in this study; thus, the aim was to collect
a minimum of 165 responds. The pilot study was conducted by posting the online survey
through SurveyMonkey. The collected answers were 57, which were reduced to 42 after
discarding the incomplete copies. The pre-test sample was extracted from the final data set
after obtaining the instrument reliability. The participants participated as a volunteer, and
their confidentiality was assured by the research team (Kwol et al., 2020).
3.2 Measures
The questionnaire was distributed among the participants about their intention to revisit
destinations during the pandemic by using innovation in tourism activities. The variables are
measured by a 5-point Likert scale ranging from 1 –strongly disagree to 5 –strongly agree.
The measurement items were adapted from extant literature to ensure reliability and validity:
(1) The tourism inclination was measured through 5 items adapted from Wen et al.
(2005).
(2) To operationalize the innovativeness, 3 items were adapted from Agarwal and Prasad
(1998).
(3) Revisit intention were measured by three items adapted from Meng and Chio (2016).
4. Results
4.1 Demographics of participants
A total of 300 data were collected using SurveyMonkey. However, only 279 responses were
returned, of which 272 were useable. The demographics show that 168 (61.8%) were female,
and 104 (38.2%) of the participants were male. The majority of the participants, that is 154
(56.6%), were tourists who had traveled at least once a year in the recent passing year and 118
(43.4%) were those participants who had not been traveling during the last year.
4.2 Validity and reliability of the data
For this study, using ADANCO, the confirmatory factor analysis (CFA) was used to evaluate
the validity and reliability of the measurement model. The measures of composite reliability
Contactless
hospitality in
post-Covid-19
world
and Cronbach’s alpha should be greater than 0.7 to be reliable (Hair et al., 2010;Nunnally and
Bernstein, 1994). For ADANCO, reliabilities of the constructs were measured using the
Dijkstra Henseler’s rho_A coefficient, which is supposed to be greater than 0.70 (Dijkstra and
Henseler, 2015). In this regard, the study measures are reliable. The ADANCO was used to
check the convergent validity to check the outer loading and average variance extracted
(AVE). The required threshold for outer loading and AVEs should be greater than 0.5, as
suggested by Hair et al. (2010). Findings represent that all variables are valid and reliable, as
illustrated in Table 1.
Additionally, the convergent validity of this study was confirmed. The discriminant
validity of the constructs is confirmed as shown in Tables 2 and 3, by applying the
heterotrait-monotrait (HTMT) method as well as Fornell–Larcker criterion (Ali et al., 2018;
Henseler et al., 2015;Fornell and Larcker, 1981).
4.3 Structural model result
In this study, ADANCO conducted testing the hypotheses and obtaining the beta coefficients
for direct paths and determination coefficients (R2), as shown in Table 4. Bootstrap analysis
was conducted using the sample size of 5,000 at a confidence interval of 97.5% to acquire the
t-values and their associated p-values. As noted in INNOV and RI Table 4,(R2) was 0.356 and
0.373, respectively. Table 4 represented that the effect size (f
2
) of TI on RI was small (0.105)
and strong on INNOV (0.554). INNOV on IR had a small effect.
4.4 Direct and indirect effects
H1 suggests a direct impact of TI on INNOV. Findings indicate that TI influences INNOV
significantly (β50.597, p< 0.000), thus providing sufficient evidence for supporting H1. The
second hypothesis shows that INNOV has a significant impact on the RI of tourists. Result
also reveals that INNOV has a significant effect on RI (β50.363, p< 0.000); thus, hypothesis 2
has also been supported. The positive association of innovativeness and revisit intention was
expected since innovation in tourism activities positively affects the visitors to adopt
technologies for intention to revisit by influencing their attitudes of traveling safely (Diallo
and Collin-Lachaud, 2019). Hypothesis 3 proposes that TI negatively influences RI. The
results confirmed that TI significantly influences RI (β50.319, p< 0.000); thus, H3 is
supported. Additionally, it was expected that due to the spread of Covid-19 globally,
OL Cronbach’s alpha CR rho_A AVE
Tourism inclination 0.88 0.91 0.88 0.67
TI1 0.827
TI2 0.778
TI3 0.862
TI4 0.817
TI5 0.813
Smart tourism innovativeness 0.86 0.91 0.86 0.78
INNOV1 0.867
INNOV2 0.906
INNOV3 0.875
Revisit intention 0.90 0.94 0.91 0.83
RI1 0.901
RI2 0.927
RI3 0.911
Note(s): OL implies outer loadings; CR implies composite reliability; AVE implies average variance extracted
Table 1.
Construct validity and
outer loading
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inclination of the tourism industry influences the visitors’attitude toward revisiting
destination with touristic attractions. Finally, this study proposed hypothesis 4 that INNOV
mediates the relationship between TI and RI. The mediation hypothesis of our study was
tested based on the two-step approach (Nitzl et al., 2016). The findings recorded in Table 5
demonstrated that indirect TI [INNOV] RI paths (estimate M150.2172, t54, 5,747) are
statistically significant because there is no zero in the respective 97.5% CIs. Therefore, there
was support for hypothesis 4.
5. Discussion and limitations
This study aimed to assess the innovativeness as a mediator between the relationships of
tourism inclination and revisit intention. The results pointed out a negative association
between tourism inclination and revisit intention. In other words, the degradation of tourism
Construct TI RI INNOV
TI
IR 0.5954
INNOV 0.6812 0.6209
Construct TI RI INNOV
TI 0.6729
RI 0.2882 0.8341
INNOV 0.3565 0.3077 0.7806
Note(s): Squared correlations; AVE in the diagonal
Constructs R
2
R
2
adj Cohen’sf
2
TI
INNOV 0.3565 0.3541
RI 0.3734 0.3687
TI →INNOV 0.5539
INNOV →RI 0.1359
TI →RI 0.1050
βt-value p-values 97.5% CI (BCa)
Direct effects
TI →INNOV 0.5970 12.8351 0.0000 {0.4649 0.6847}
INNOV →RI 0.3638 5.4328 0.0000 {0.1922 0.4979}
TI →RI 0.3197 4.2881 0.0000 {0.1224 0.4597}
Indirect effect
TI →RI 0.2172 4.5747 0.0000 {0.1102 0.3168}
Note(s):p≤0.000
Table 2.
Heterotrait-monotrait
ratio of
correlations (HTMT)
Table 3.
Fornell-Larcker
criterion
Table 4.
Structured model
results
Table 5.
Direct and indirect
effects
Contactless
hospitality in
post-Covid-19
world
activities due to the spread of Covid-19 globally, resulted in less revisit intention among
visitors. However, it can be inferred that if innovative technologies would prepare visitors
regarding visiting tourist destination in a way that would make experience of traveling safe,
their willingness to revisit may be increased. Consequently, the perception of innovativeness
in terms of touchless technologies in tourism positively influences the visitors’behavioral
intention (i.e. revisit intention) (Tran et al., 2020).
This study focused on consumers’viewpoints of the future of contactless services and
considered their readiness to receive the service by employing the consumer innovativeness
theory. The innovativeness in tourism usually plays a significant role in enhancing revisit
intention (Hadood and Irani, 2020;Hasan et al., 2019). The significant and positive effect of
innovativeness on revisit intention indicates that more innovative people are more likely to
take action to travel to the destination once the pandemic is over. These data are compatible
with Pagani et al.’s (2011) findings, proposing that managers should recognize their most
innovative customers to participate and contribute to activities among users of new services.
These results pave the way for future research into the relationship between tourism-specific
innovation and consumer behavior during and after Covid-19. Consumers with a higher level
of innovativeness will be more likely to contribute to new products and services (e.g.
touchless services) that can also create a way of establishing a mutually profitable
connection.
The effects of innovativeness on revisit intention received much attention in the literature;
however, the effects of tourism inclination on revisit intention have been slightly investigated
(Meng and Cui, 2020). Because of Covid-19 outbreak, tourists encountered great fear and
threats to their health and uncertainties about their life. This posed a big problematic issue for
destinations to retain their tourists. It is difficult to retain visitors by destinations that are
affected by Covid-19 during the lockdown. However, by adopting innovative technological
strategies and implementing them, tourist destinations can maintain and retain the tourists
under the circumstances of Covid-19 outbreak.
Because of its impact, the Covid-19 public health issue is projected to have unprecedented
influences on global tourism. Visitors’behaviors and expectations and their effect on the
global tourism market need to be thoroughly studied so that business practitioners and
policymakers can develop a more sustainable field (Rahimizhian et al., 2020a). Demographic
developments in tourism will also contribute to the creation of new opportunities, which can
be explored by researchers and practitioners together. The Covid-19 outbreak has already
had an immense effect on every society and industry. Tourism scholars and practitioners
should take careful note of this tragedy, so that they can educate industry activities. Such
global health issues represent strong reasons for understanding the industry holistically in
terms of its effect on the climate, economy and travelers themselves. While travelers are
reconsidering how they travel, following this pandemic, practitioners too will think of ways to
make meaningful improvements to the tourism industry by adopting technological
innovation toward tourism activities.
This study has various managerial contributions. The travel and tourism industry reflects
a background in which innovation in products and services is highly pertinent. This research
provides a better understanding and targeting of the most innovative consumers for the
management of tourism businesses. Managers should enhance the design and development
of contact with fewer services that might have an immense impact on pandemic-sensitive
customers’choice. By focusing on innovations and the prerequisite of customer choice
designs, managers will be more proficient at developing their operational planning and
decision-making. The study’s findings can be applied to develop a decision-support guide
that can help in achieving the “what-if”type of outlines. Before making a notable investment
in terms of money and effort, managers can investigate the possible values and willingness to
pay for each proposed service innovation.
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This study has important consequences in empirical and practical terms, and also like any
other studies, it is not without limitations. This study mainly focused on the tourists, and the
lack of a diverse population is one of the limitations. Therefore, the results can only beapplied to
the tourism sector. Future research should also include other significant sectors of the tourism
industry, such as different faculties, sectors, private agencies and hotels. A single traveler
variety was included in the study, but future research could look at the different variety of
travelers. Additionally, a bigger data set can be appliedfor more analysis to realize if innovation
in technologies toward experiencing tourism activities truly makes an impact. In the current
study, the interaction of tourism inclination and revisit intention was borderline insignificant;
therefore, in future studies, other elements should be considered, such as personal traits and
tourists’attitude, with a larger sample data, which may lead to different results.
6. Conclusion
It is expected that tourism development will have adverse long-term impacts due to Covid-
19. These adverse impacts are perceived differently by tourists since they are from different
cultural backgrounds. With the vital impacts of the Covid-19 pandemic, this study offers
crucial insight to assist tourism administrators and decision-makers in designing unique,
successful approaches to improving the tourism sector, especially enhancing the travel
events. This study aimed to examine if innovativeness in experiencing tourism activities
has an impact on tourists during the pandemic. The findings of the study point out that
innovativeness has a significant effect on enhancing revisit intentions of the tourists to
travel to tourist destinations due to the inclination of tourism activities due to Covid-19
disaster.
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Corresponding author
Sima Rahimizhian can be contacted at: sima.rahimi@emu.edu.tr
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