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Journal of Sustainable Tourism
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Resident perceptions and responses to tourism:
individual vs community level impacts
Tina Šegota, Tanja Mihalič & Richard R. Perdue
To cite this article: Tina Šegota, Tanja Mihalič & Richard R. Perdue (2022): Resident perceptions
and responses to tourism: individual vs community level impacts, Journal of Sustainable Tourism,
DOI: 10.1080/09669582.2022.2149759
To link to this article: https://doi.org/10.1080/09669582.2022.2149759
© 2022 The Author(s). Published by Informa
UK Limited, trading as Taylor & Francis
Group.
Published online: 24 Nov 2022.
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Resident perceptions and responses to tourism: individual vs
community level impacts
Tina
Segota
a,b,c
, Tanja Mihali
c
c
and Richard R. Perdue
d
a
Greenwich Business School, University of Greenwich, London, UK;
b
Faculty of Tourism, University of
Maribor, Bre
zice, Slovenia;
c
School of Economics and Business, University of Ljubljana, Ljubljana, Slovenia;
d
Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University,
Blacksburg, Virginia, USA
ABSTRACT
This paper reviews resident tourism attitude research through the lens
of the individual- and community-level perceived impacts of and
responses to tourism. It explores how perceived impacts of tourism and
responses to tourism development have been conceptualised and meas-
ured in the existing resident attitudes models published between 1990
and 2020. Three categories of variables were identified and used: ante-
cedent variables, tourism impact variables, and dependent variables.
The latter three categories are used to discuss the research topic from
the lenses of improvements in measurement instruments. Finally, the
paper suggests rethinking the overall conceptualisation of residents’
perceptions of and reactions to tourism –it proposes future research
directions to distinguish between individual-level and community-level
effects and reactions.
ARTICLE HISTORY
Received 22 March 2022
Accepted 15 November 2022
KEYWORDS
Resident attitudes; support
for tourism; tourism impact;
personal benefit; host
community; litera-
ture review
Introduction
Resident attitudes has long been a significant tourism research focus. With community residents
placed at the core of sustainable tourism development (Mundt, 2011), countless research papers
on resident attitudes have been published over the past 50 years (Nunkoo et al., 2013; Hadinejad
et al., 2019; Almeida Garcia et al., 2015). Much of this research has been based on the exchange
theory models proposed by Perdue et al. (1990) and Ap (1992). These two models set the stage
for the theoretical and empirical understanding of how residents perceive tourism impacts and
when they support or oppose further tourism development.
Recently, this research has been widely criticised for being too mired in the debate on how
resident perception of tourism impacts affects support for tourism. Firstly, with many commun-
ities embracing tourism as an industry that helps develop and prosper, tourism planners and
developers need to assess if support for their initiatives and policies exists. Hence, by setting res-
idents’support for tourism as integral to the tourism planning processes, the models of resident
support for tourism conceptually rest on “initiating citizen participation processes related to tour-
ism issues”(Harrill, 2004, p. 251). As such, the models have been faultily adopted in tourism as
conceptual ‘holy grails’for observing the effects of tourism without being adequately challenged
CONTACT Tina
Segota t.segota@greenwich.ac.uk School of Management and Marketing, Greenwich Business School,
University of Greenwich, Maritime Greenwich Campus, Old Royal Naval College, London, SE10 9LS, UK.
ß2022 Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/
by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
JOURNAL OF SUSTAINABLE TOURISM
https://doi.org/10.1080/09669582.2022.2149759
and revised over the past thirty years. For example, through the lenses of empirical conceptual-
isation, Nunkoo et al. (2013) and Gursoy et al. (2019) observe that the research has reached a
state of arrested development in its quest for the universal model and absolute truth of resident
support for tourism because of its overreliance on specific quantitative methods and lack of
empirical criticality. Also, from the theoretical perspective, Deery et al. (2012) and Sharpley (2014)
observe that the research rests on social exchange theory: its general proposition is that if the
residents believe that perceived benefits from tourism exceed perceived costs, they would be
more likely to support tourism development in their community. However, this proposition
neglects the multidimensional complexity of residents’social experiences and lived realities in
tourism destinations (Sharpley, 2014; Wang & Pfister, 2008). Furthermore, some studies have
found that residents can perceive tourism to have positive impacts on their communities but
still, they oppose its future development (McKercher et al., 2015; Mart
ın et al., 2018) or exhibit
behaviours suggestive of opposition to tourism (Carmichael, 2000; Cardoso & Silva, 2018). These
results led us to think that the research should reconsider the levels of analysis and produce
more information on residents’perception of tourism impacts distinguishing between impacts
on the individual and those impacting the community.
Ap and Crompton (1993) stressed that it is essential to empirically match resident perceptions
of impacts and their responses to different levels of those impacts. Moreover, while Perdue et al.
(1990) proposed a distinction between tourism impacts on the individual and the community,
the existing research largely ignores this issue. Hence, conceptually, there are potential differen-
ces between the resident’s perceptions of the impacts of tourism development on themselves
and their families compared to their town or community as a whole (Bramston et al., 2002;
Jurowski et al., 1997; Ross, 1992). However, scholars have little consensus on the precise distinc-
tion between individual- and community-level impacts of tourism (Wang & Pfister, 2008;
Andereck & Nyaupane, 2011; Jurowski et al., 1997; Boley et al., 2018). In this sense, Sharpley
(2014, p. 44) rightfully observes that “other than economic dependence on tourism, few if any
consistent relationships have emerged [from the research]”. This is mainly because the prevailing
exchange theory has long focused almost exclusively on measuring how tourism improves an
individual’s economic status (Boley et al., 2014; Woosnam & Norman, 2010; Andereck et al., 2005)
and how the perception of economic benefits influences the perceived impacts of tourism to the
community (Perdue et al., 1990; Boley et al., 2014; Ko & Stewart, 2002) and support for tourism
development (Perdue et al., 1990; McGehee & Andereck, 2004; Nunkoo & Ramkissoon, 2011;
Nunkoo & So, 2016). As a result, the critical measure of the impact of tourism on the individual
is (erroneously) almost exclusively economic. However, tourism development should differentiate
between “how citizens perceive the factors that contribute to their own quality of life and how
they collectively think their region or area is doing”(Andereck & Jurowski, 2006, p. 138).
Similarly, the existing research has extensively studied resident perceptions of tourism impacts,
evolving even into the ubiquitous
'
listʼof tourism impacts (Deery et al., 2012). The ‘list’was ini-
tially set as mediating the relationship between antecedent variables and resident reactions to
tourism (Perdue et al., 1990; Lankford & Howard, 1994). Moreover, the list does not differentiate
between impacts on the individual versus on the community; instead, it points towards commu-
nity-level impacts of tourism. The ‘list’has been widely used as a mediator in the resident-tour-
ism relationship, overwhelming the literature with what residents perceive instead of helping to
understand ‘why’(Sharpley, 2014).
Thus, the present study proposes a multidimensional approach to resident attitudes research
based on differentiating between individual- and community-level tourism issues and responses.
A community represents “a group of people with diverse characteristics who are linked by social
ties, share common perspectives, and engage in joint action in geographical locations or
settings”(MacQueen et al., 2001, p. 193). Traditionally we think of community as a social con-
struct, implying territorial and relational structures of human relationships (Gusfield, 1975;
McMillan & Chavis, 1986). These evolve around using human and natural resources to enhance
2 T. ŠEGOTA ET AL.
the well-being of individuals and communities (Prilleltensky & Prilleltensky, 2006). Once a com-
munity becomes a tourism destination, the use of community resources is negotiated within the
resident-tourism exchange process (Uysal et al., 2016). This negotiation is often approached with
a positive attitude, with tourism being embraced as a means of enhancing the quality of life in a
community (Perdue et al., 1999; McKercher et al., 2015). However, community members may not
be equally involved in the resident-tourism exchange (
Segota et al., 2017), which makes tourism
subject to judgements on the impacts it has on an individual and a community (Uysal et al.,
2016). Since tourism impacts are felt by individuals directly, while some are felt indirectly at a
community level (McKercher et al., 2015), it follows that responses to tourism also exhibit differ-
ently on the individual- and the community level.
To support this proposition, we reviewed empirical models on resident attitudes toward tour-
ism published between 1990 and 2020, focusing on how tourism impacts and subsequent
responses have been conceptualised and measured vis-
a-vis the distinction between individuals
and communities. The following sections will articulate the study’s methodology, and present
the results, focusing on the in-depth analysis of antecedents, tourism impact variables, and
responses to tourism development. In conclusion, we propose future research directions, high-
lighting, in particular, differing perceptions of tourism impacts on the individual and the commu-
nity and associated coping mechanisms.
The emergence of the individual- and community-level impacts and responses in
the tourism discourse
The Perdue, Long and Allen conceptual model
The Perdue et al. (1990) model is central to resident attitude research because of its pioneering
attempt to conceptualise different aspects of tourism impacts, their antecedents and host com-
munity responses. The model examined “the relationships between resident perceptions of tour-
ism impacts, both positive and negative, and their support for additional tourism development
and specific tourism development policies”(Perdue et al., 1990, p. 597). The structure of the
model is shown in Figure 1.
On the left-hand side of the model are the antecedent variables. These comprise resident
characteristics (e.g. length of residence, age, sex, education, employment, etc.) and personal ben-
efits from tourism, hypothesised to influence how residents perceive tourism’s positive and nega-
tive impacts. As an outcome of the latter, support for additional tourism development and the
other two ultimate dependent variables, labelled support for special tourism taxes and support
Figure 1. Perdue et al. (1990) conceptual model of resident attitudes toward tourism.
Source: Perdue et al. (1990, p. 589).
JOURNAL OF SUSTAINABLE TOURISM 3
for restrictive tourism development policies, were placed on the right-hand side of the model.
Additionally, the perceived future of the community was considered a direct antecedent of resi-
dents’support for tourism. Both perceived positive and negative impacts of tourism were placed
at the model’s centre, mediating the relationship between the antecedent and dependent varia-
bles. By observing the measurement items for each variable, we can conclude that antecedent
variables are predominately individually focused (i.e. measuring how residents perceived tourism
to impact themselves). In contrast, tourism impacts variables are predominately community
focused (i.e. measuring how residents perceived tourism to impact the community).
In line with exchange theory, the model conceptualises the resident-tourism exchange process
as the more residents perceive as benefitting from tourism, the more likely they perceive tourism
impacts more positively and will support additional tourism development (McGehee & Andereck,
2004; Sharpley, 2014; Perdue et al., 1990). Notably, the authors appealed to future studies to
improve the measurements of the major concepts conceptually and empirically, mainly to clarify
the character of the tourism impact statements and improve the existing attitude scales. This
appeal was not intended to advise researchers on improving the model; instead, it was an
attempt to encourage the thought about the multidimensional premises of perceptions of and
responses to tourism impacts. This model foments the idea of differentiating between individual-
and community-level tourism impacts and responses; specifically, Perdue et al. (1990) argued
that support for tourism development depends on both perceived personal benefits from tour-
ism and the perceived future of the community. Personal benefits from tourism assessed the
extent to which the respondent felt
'
they would benefit from more tourism development in this
community’. On the other hand, the perceived future of the community incorporates one’s evalu-
ation of whether
'
the future of the town looks brightʼ(Perdue et al., 1990, p. 592). This suggests
that the context of resident-tourism exchange is based on benefits or costs obtained for the
services supplied. Residents supported additional tourism development for their community to
“satisfy their economic, social, and psychological needs and to improve the community’s well-
being”(Ap, 1992, p. 669).
The need for a multidimensional conceptualisation of perception and responses to
tourism impacts
Resident attitudes toward tourism have been extensively analysed since Perdue et al. (1990)
model was published. Despite attempts to provide alternative lenses for studying perceptions
and responses to tourism impacts, the prevalence of exchange theory resulted in a very circular
research field (Nunkoo et al., 2013; Sharpley, 2014).
For example, Deery et al. (2012) examined the approaches to studying tourism impacts and
concluded that the research is “in a state of arrested development”(Deery et al., 2012, p. 65, ori-
ginal emphasis). They argued that the dominance of exchange theory led to the so-called list
approach to tourism impacts that “does not provide insights as to why residents perceive them
in a particular way, and hence the opportunity to change perceptions is lost”(Deery et al., 2012,
p. 67). Drawing from the organisational culture literature and campaigning for qualitative meth-
ods, the authors suggested approaching the examination of resident perceptions of tourism
impacts in five layers: each layer related to different social and psychological phenomena inter-
twined with artefacts, patterns of behaviour, behavioural norms, values, and fundamental
assumptions. Similarly, Sharpley (2014) concluded that the resident attitude research was facing
a series of challenges because: “the linear, rational process proposed by social exchange theory
is in actuality infrequently followed, whilst to ignore the socio-cultural context within which
social exchanges occur is to ignore the extrinsic influences on that process”(Sharpley, 2014,p.
45). In much the same vein as Deery et al. (2012), the author emphasised the need for a multidi-
mensional approach to studying resident attitudes towards tourism, particularly highlighting the
4 T. ŠEGOTA ET AL.
greater need for clarifying resident attitudinal and behavioural responses to tourism impacts
(Sharpley, 2014).
Nunkoo et al. (2013) and Hadinejad et al. (2019), among others, offered a perspective on the
methodological sophistication of the research, concluding that the popularity of multivariate stat-
istical techniques created a trend of theory testing versus theory development (Nunkoo et al.,
2013) ultimately resulting in most research being quantitative (Hadinejad et al., 2019). The
authors convincingly argued that mixed-methods approaches were more suitable for researching
the multidimensional nature of the social experiences and lived realities in tourism destinations.
They stressed that “integrating the tools of qualitative and quantitative approaches enables the
verification of facts as well as the investigation of complex and multidimensional reality”
(Nunkoo et al., 2013, p. 19) and that the combination of objective and subjective analyses would
shed light on resident feelings and emotions, an insight-deprived topic (Hadinejad et al., 2019).
Garc
ıa, V
azquez and Mac
ıas (2015) and Rasoolimanesh and Seyfi (2021) provided a
'
tourʼ
through the research field and highlighted the most studied variables from the empirical models
on resident attitudes. The authors discussed the limitations of the methods and theories used.
Respectively, Garc
ıa et al. (2015) advocated for a new multidimensional framework with the abil-
ity to explain the discrepancy in knowledge and lack of logic in results, suggesting that “the
impacts of tourism on communities are highly localised in time and place”(p. 39). Also,
Rasoolimanesh and Seyfi (2021) suggested exploring how emerging over-tourism and smart tour-
ism drive resident perceptions and reactions to tourism impacts. At the same instance, they
called for a better conceptualisation of antecedents to resident perceptions and attitudes, result-
ing in a unified model with clarified construct measurements (Rasoolimanesh & Seyfi, 2021).
Here, further clarification on what is meant by ‘perception’and ‘attitude’needs to be made. By
definition, perception is “that process by which things, events and relationships become phe-
nomenally ‘here’,‘now’and ‘real’” (Hochberg, 1956, p. 401), while the attitude represents “a psy-
chological tendency that is expressed by evaluating a particular entity with some degree of
favour or disfavour”(Eagly and Chaiken 1993, as cited in Eagly and Chaiken, 2007, p. 582). In
other words, perception represents one’s ability to interpret, understand or become aware of the
impact of tourism, while attitude means a settled way of thinking or feeling about tourism.
The research field was also examined from two perspectives—place change and quality of
life, providing alternative theoretical lenses to exchange theory. McKercher et al. (2015) examined
the research field from the perspective of place change. They identified a U-shaped curve
between place change, attitude change, and destination life cycle, reflecting a negative-positive-
negative arch. More importantly, the authors suggested looking at the place “within a touristic
context/as/a multifaceted concept that exists at both a personal and community level”and that
individuals are affected by tourism “directly, indirectly and ideologically”(McKercher et al., 2015,
p. 63). Uysal et al. (2016) examined the field from a quality of life perspective. They observe that
“the relationship between tourism impact and quality of life of community residents needs fur-
ther research and empirical substantiation”(Uysal et al., 2016, p. 257). They identified the field as
short-sighted, capturing impacts of tourism on quality of life at the individual level, leaving all
other levels (e.g. family, community, regional, country, etc.) empirically attenuated.
Recently, Gursoy et al. (2019) examined the premises of social exchange theory in explaining
resident perceptions of tourism impacts and support for tourism development. Using the meta-
analysis approach, they discussed the most frequently hypothesised relationships and concluded
that social exchange theory offers a robust and credible theoretical framework for tourism.
However, they acknowledge that residents have differing views when evaluating whether tour-
ism contributes to the local economy from which they benefit collectively as members of the
community or tourism contributes to their personal financial states from which they benefit as
individuals. Moreover, they suggest thoroughly examining the perception formation mechanisms
through which resident perceptions of positive and negative tourism impacts are influenced by
different variables (Gursoy et al., 2019).
JOURNAL OF SUSTAINABLE TOURISM 5
In general, the prior commentaries recognise the resident attitude research is unilateral and
quantitative in its own right, yet it fails to appreciate that residents perceived impacts or reac-
tions to tourism are not singular or absolute (Garc
ıa et al., 2015; Sharpley, 2014; Gursoy et al.,
2019). Moreover, they suggested embracing the multidimensionality of the tourism impacts, the
distinction between the impact on the individual and the impact on the community resulting in
differing perceptions and reactions (Carmichael, 2000; Madrigal, 1993; Mart
ın et al., 2018).
However, the
'
how’to distinguish between individual and community perceptions and reactions
to tourism has seldom been provided. Therefore, this study will address the issue by studying
how perceptions of tourism impacts have been conceptually embedded within various theoret-
ical/empirical models. In maintaining this focus, we aim to offer insights into re-conceptualising
the perceptions of and responses to tourism impacts from a multidimensional, i.e. individual-
and community-level perspective.
Method
A review of journal papers on resident attitudes towards tourism was undertaken to answer the
following research question: How have resident perceptions and responses to tourism impacts
been conceptualised and measured vis-
a-vis the distinction between individuals and commun-
ities? As an initial step for the review, an extensive search was conducted through various elec-
tronic databases (i.e. Science Direct, JSTOR, ProQuest, Sage, Emerald, EBSCOhost etc.), using the
following keywords: resident attitudes, community attitudes, tourism impacts, host community,
resident perceptions, resident reactions to …, community reactions to …, support for tourism,
etc. The search resulted in 490 full-length research articles published between 1990 and 2020.
Each paper was read, assigned a number, and its core information was entered into an Excel
spreadsheet. The latter included general details (e.g. author, year, journal, theoretical/conceptual
background, research purpose), sample details (i.e. size, type, location), details on methodology
(e.g. independent/dependent variables, response format, type of statistical analysis), and findings.
Each paper was re-read to determine if it met the criteria for inclusion in the study. Articles had
to be empirical, clearly indicating the theoretical/empirical model, coupled with specifying meas-
urement instruments and key factors of resident attitudes. Many studies included various forms
of path analysis and Structural Equation Modelling, which was not surprising due to the popular-
ity of these multivariate statistical techniques since their emergence in the late 2000s (Nunkoo
et al., 2013). The papers that did not meet the criteria for inclusion were conceptual articles (for
example, Nunkoo et al., 2010; Saarinen, 2006), cluster analysis articles (for example, Sinclair-
Maragh et al., 2015;
Segota et al., 2017), qualitative studies (for example, Stewart et al., 2011;
Lawton & Weaver, 2015, Shen et al., 2017), and articles that did not specify empirical model and/
or measurement instrument (for example, Lindberg & Johnson, 1997; Fredline & Faulkner, 2000).
Using these parameters, 210 journal papers were included in this analysis. These articles were
further analysed to determine how the empirical models were structured and which relationships
were tested. Overwhelmingly, most studies conceptually followed the relational framework pro-
posed by Perdue et al. (1990) with various antecedent variables influencing residents perception
of tourism impacts which, consequently, influenced responses to tourism. This determined the
general analytical framework for aligning the variables into the following categories: antecedent,
tourism impact, and dependent variables (see Figure 1). Content analysis was used to code varia-
bles and corresponding measurement items into categories, indicating the original study.
Ultimately, 44 types of antecedent variables, seven types of tourism impact variables, and 27
types of dependent variables were identified. In our analysis, reinterpreting empirical models as
a set of three-variable categories (antecedent variables, tourism impact variables, and dependent
variables) led to the identification of resident perceptions and responses to tourism with the
6 T. ŠEGOTA ET AL.
distinction between individual- and community levels. Therefore, the findings are divided into
three sections, discussing conceptualisation and measurement issues in each category.
Discussion of the antecedent variables
Our analysis showed that antecedent variables and their measurement items distinguish between
individual-and community-level impacts of tourism to a certain extent. Antecedent variables
were found to answer how individuals perceive tourism to impact their lives directly or how
tourism development shapes the community as a tourism destination. In the following section,
we will discuss the most used antecedent variables in the empirical models.
Distinguishing between individual and community characteristics
Our analysis showed that the research distinguishes between demographic and community char-
acteristics, which are essential elements of every study. Both demographic and community char-
acteristics influence how residents perceive tourism impacts. In general, demographic
characteristics are used for classifying residents into groups (Deery et al., 2012; Sharpley, 2014;
Garc
ıa et al., 2015; Uysal et al., 2016). These characteristics are internal to residents—they repre-
sent “characteristics of members of the host community that affect variations in the impacts of
tourism within the community”(Faulkner & Tideswell, 1997, p. 6). On the other hand, the
research acknowledged characteristics specific to the community, such as seasonality, stage of
economic development, type of tourism activities, level of tourism development, etc., were also
common antecedents (Sharpley, 2014; Garc
ıa et al., 2015; Uysal et al., 2016). These community
characteristics are external to residents and are used to differentiate between communities
(Williams & Lawson, 2001) as they represent “characteristics of the location with respect to its
role as a tourist destination”(Faulkner & Tideswell, 1997, p. 6).
Evolution of personal benefits from tourism
A corpus of empirical research testifies to a direct relationship between personal benefits from
tourism and perceptions of tourism impacts. In line with exchange theory, the direct relationship
consistently shows how positive perceptions of and support for tourism are affected by resident
opinion on whether they personally benefit from tourism (McGehee & Andereck, 2004; Andereck
& Nyaupane, 2011; Perdue et al., 1990; Latkova & Vogt, 2012; Vargas-Sanchez et al., 2009; Gursoy
et al., 2019). Employment and business opportunities are the most common personal benefits
from tourism that influence residents to form positive perceptions of tourism impacts rather
than negative ones and exhibit favourable attitudinal responses towards tourism development
(McGehee & Andereck, 2004; Gursoy et al., 2019). However, our analysis also showed that under-
standing how perceived personal benefits affect attitudes towards tourism has been primarily
shaped by single- or double-item measurements that were too broadly defined and opened pos-
sibilities for dubious and inconsistent interpretations of the relationship. Table 1 provides an
overview of how
'
personal benefits from tourismʼevolved from a single- to multi-item measure-
ment construct.
In the above table, most of the initial studies examining the direct relationship between per-
sonal benefits from tourism and attitudes towards tourism used either a single- or double-item
construct, where personal benefits represent the individual’s opinion on whether they would
benefit from more tourism development. However, such generalised statements do not reveal
what residents perceive as personal benefits or which benefits are more relevant to them (Boley
et al., 2018). On the other hand, in more recent studies, which opted for a multi-item measure-
ment approach, personal benefits were examined as an individual’s direct economic gains from
JOURNAL OF SUSTAINABLE TOURISM 7
Table 1. Descriptive table for “Personal benefits from tourism”.
Study
Type of
construct Construct items Type of scale
Composite
scale
quality
Perdue et al. (1990) Single item I would benefit from more tourism
development in this community.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
n.a.
Kang et al. (1996) Multi-item I personally receive economic
benefits.
I personally receive social
benefits.
Overall, I benefit from tourism in
this town.
Likert scale
(1¼strongly disagree,
7¼strongly agree)
a¼0.87
VE ¼8.2%
Snaith and
Haley (1999)
Single item Personal employment in tourism
industry.
Importance of tourism
to occupation.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
n.a.
Ko and Stewart (2002) Double item Personal employment in tourism
industry.
Household employment in
tourism industry.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
a¼0.73
Lee and Back (2003) Double item I would benefit from more tourism
development in this community.
Community would benefit from
more tourism development.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
a¼0.75
McGehee and
Andereck (2004)
Double item I would benefit from more tourism
development in this community.
Amount I feel I benefit
personally from tourism in
my community.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
a¼0.75
Haley et al. (2005)Single item Personal employment in tourism
industry.
Importance of tourism
to occupation.
Likert scale
(1¼strongly disagree,
5¼strongly agree)
n.a.
Wang and
Pfister (2008)
Multi-item I personally benefit from the
following tourism activities in
my community: 1) contributions
to the economy; 2) downtown
revitalisation; 3) special events
and programs; 4) arts and
cultural features; 5) shopping
and dining choices; 6) recreation
opportunity; 7) historic homes;
and 8) community services
4-point scale
(1 ¼not at all, 4 ¼a lot)
a¼0.90
VE ¼59.1%
Vargas-Sanchez
et al. (2009)
Single item I would benefit from more tourism
development in this community.
5-point differential
semantic scale
n.a.
Andereck and
Nyaupane (2011)
Single item Amount I feel I benefit personally
from tourism in my community.
5-point scale
(1 ¼not at all, 5 ¼a lot)
n.a.
Latkova and
Vogt (2012)
Double item Personal benefits from current
tourism.
Personal benefits from
more tourism.
5-point scale
(1 ¼not at all, 5 ¼a lot)
(1 ¼strongly disagree,
5¼strongly agree)
n.a.
Boley et al. (2014) Multi-item Tourism helps me pay my bills.
A portion of my income is tied
to tourism.
I would economically benefit
from more tourism
development.
My family’s economic future
depends upon tourism.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
CR ¼0.87
AVE ¼68%
Stylidis and Terzidou
(2014)
Multi-item I would benefit from more tourism
development in this community.
My current job is related to
tourism.
A family member’s job is related
to tourism.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
CR ¼0.84
AVE ¼64%
(continued)
8 T. ŠEGOTA ET AL.
Table 1. Continued.
Study
Type of
construct Construct items Type of scale
Composite
scale
quality
Nunkoo and So (2016) Multi-item I personally receive cultural
benefits.
I personally receive economic
benefits.
I personally receive
social benefits.
5-point scale
(1 ¼none, 5 ¼a lot)
CR ¼0.83
AVE ¼63%
Rasoolimanesh
et al. (2015)
Multi-item Increasing the number of visitors in
_______ will increase my
current household income.
A high percentage of my
current income comes from the
money spent by visitors.
Most of the income of the
company I work for (or business
you own) comes from the
tourist trade.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
CR ¼0.85
AVE ¼66%
Rasoolimanesh
et al. (2017)
Multi-item Increasing the number of visitors in
_______ will increase my
current household income.
A high percentage of my
current income comes from the
money spent by visitors.
Most of the income of the
company I work for (or business
you own) comes from the
tourist trade.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
Lenggong
sample:
CR ¼0.84
AVE ¼65%
George Town
sample: CR ¼
0.95
AVE ¼88%
Ribeiro et al. (2017) Multi-item My family’s economic future
depends upon tourism in
______.
Tourism in ______help me to
pay my bills.
I would economically benefit
from more tourism in ______.
A portion of my household
income is tied to tourism.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
a¼091
CR ¼0.90
AVE ¼69%
Strzelecka et al. (2017) Multi-item Tourism in ______ helps me pay
my bills.
A portion of my income is tied
to tourism in _______.
I would economically benefit
from more tourism development
in ___.
My family’s economic future
depends on tourism in _____.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
MWE ¼0.72
AVE ¼57%
Zhu et al. (2017) Multi-item My family will gain economic
benefits.
My family members will get
good jobs.
Widen my view of the field and
knowledge.
The quality of my life will
be improved.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
CR ¼0.90
AVE ¼70%
Palardy et al. (2018) Multi-item My neighborhood benefits
economically from tourism.
New businesses have come into
this neighborhood because of
tourism.
Tourism has increased
opportunities for business
expansion in this neighborhood.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
CR ¼0.83
AVE ¼66%
(continued)
JOURNAL OF SUSTAINABLE TOURISM 9
tourism. The economic gains involve personal or family member’s employment in tourism and/or
the importance of tourism to a person’s occupation, income, and household income. As Boley
et al. (2014) and Woosnam and Norman (2009) rightly argue, exchange theory has long been
considered primarily through economic transactions. With this in mind, Boley et al. (2014) and
Stylidis and Terzidou (2014) adapted the construct into direct personal economic benefits from
tourism. Unsurprisingly, it was shown that residents who enjoy direct economic benefits from
tourism tend to have more positive perceptions of tourism than those who did not perceive
they economically benefit from it.
In the light of Woosnam and Norman’s (2010, p. 246) critique of exchange theory as theoretic-
ally and empirically neglecting other “complex relationships”, there have been several efforts to
understand how residents perceive other benefits from tourism. Boley et al. (2018) took the first
step in that direction. They unified the research in the construct measurement and provided a
common starting point towards understanding how residents perceive they economically benefit
from tourism. With this, there is more space for future research to focus on examining how
Table 1. Continued.
Study
Type of
construct Construct items Type of scale
Composite
scale
quality
Boley et al. (2018)
Multi-item
Tourism in ______ helps me pay
my bills.
A portion of my income is tied
to tourism in _______.
I would economically benefit
from more tourism development
in ___.
My family’s economic future
depends on tourism in _____.
Likert scale
(1 ¼strongly disagree,
5¼strongly agree)
US sample:
MWE ¼0.90
AVE ¼69%
Poland
sample:
MWE ¼0.85
AVE ¼57%
Garau-Vadell
et al. (2019)
Multi-item This type of tourism benefits me
personally.
This type of tourism benefits my
family or the people closest to
me.
This type of tourism improves
my economic situation.
Likert scale
(1 ¼totally disagree,
5¼totally agree)
a¼0.83
CR ¼0.89
AVE ¼74%
Gannon, Mostafa
Rasoolimanesh, and
Taheri (2021)
Multi-item Increasing the number of visitors in
_______ will increase my
current household income.
A high percentage of my
current income comes from the
money spent by visitors.
Most of the income of the
company I work for (or business
you own) comes from the
tourist trade.
Likert scale
(1 ¼totally disagree,
5¼totally agree)
Tabriz sample:
CR ¼0.85
AVE ¼66%
Kashan
sample:
CR ¼0.88
AVE ¼71%
Su and
Swanson (2020)
Multi-item The economic benefits that I have
gained from tourism
development.
The environmental benefits that
I have gained from tourism
development.
The social-cultural benefits that I
have gained from tourism
development.
Likert scale
(1 ¼totally disagree,
5¼totally agree)
a¼0.91
CR ¼0.91
AVE ¼79%
Note: n.a. ¼not available; a¼Cronbach Alpha; CR ¼Construct Reliability; AVE ¼Average Variance Extracted;
MWE ¼Maximum Weighted Alpha; VE ¼Variance explained. Benefits were measured as resident economic reliance on
tourism, with each statement being used as a self-standing measurement item. Personal benefits from tourism were
adapted to Personal economic benefits from tourism.Personal economic benefits from tourism were adapted to
Economic gain.
Source: Authors.
10 T. ŠEGOTA ET AL.
residents perceive other noneconomic benefits and costs from tourism and how these affect
their attitudinal and behavioural reactions.
Other studies by Wang and Pfister (2008) and Nunkoo and So (2016) extended personal bene-
fits beyond the economical ones to include cultural and social benefits. Such personal benefits,
enriched with social and cultural values, were shown to positively influence perceptions of posi-
tive and negative tourism impacts (Nunkoo & So, 2016) and resident support for tourism (Wang
& Pfister, 2008; Su & Swanson, 2020). These benefits also explain why residents, who do not get
direct economic benefits from tourism, perceive tourism to have positive impacts and support it.
Wang and Pfister (2008) proposed tourism activities that could help better understand how resi-
dents see they directly benefit from tourism beyond the economic gain. For example, the
authors showed that if residents felt they would benefit from special events/programs and
downtown revitalisation, they would support tourism development. Similarly, if residents per-
ceived that shopping and dining choices and arts and cultural features would increase with tour-
ism, they would more likely have positive perceptions of tourism (Wang & Pfister, 2008). This
demonstrates that personal benefits from tourism extend to “increasing choices for residents and
improving waterfront amenities that may be a component of the quality of life in a community”
(Wang & Pfister, 2008, p. 92). On the other hand, Nunkoo and So (2016) and Su and Swanson
(2020) did not tackle what constituted economic, social, and cultural benefits but used general-
ised statements to examine structural relationships. Thus, it is fair to observe that personal bene-
fits were broadly defined in these two studies, again opening possibilities for dubious and
inconsistent interpretations; however, an initial step was made to deviate the debate from the
domination of personal economic benefits from tourism.
The emergence of multidimensional social identification and empowerment constructs
Other individual-level issues with tourism have been examined through a plethora of antece-
dents, displaying the complexity of the resident-community relationship. Our review resulted in
more than 40 antecedent variables; however, there are two research debates we wish to further
explore due to experiencing similar issues as in the case of
'
personal benefits from tourismʼ.
These debates employ antecedents that vary from how a resident socially identifies with the
community to how they perceive having the power to voice their concerns over tourism
development.
The first research debate evolved on how perceptions of tourism impacts are shaped by resi-
dent attachment to the community (Choi & Murray, 2010; Gursoy & Rutherford, 2004; Gursoy
et al., 2010; Lee, 2013; Nicholas et al., 2009; McCool & Martin, 1994; Vargas-S
anchez et al., 2015;
Rasoolimanesh et al., 2017). No consistent relationships have been found between perceptions
of tourism impacts and resident attachment to the community. It was hypothesised that resi-
dents who are highly attached to their community are more likely to see tourism’s positive
impacts (Gursoy & Rutherford, 2004; Jurowski et al., 1997; Nicholas et al., 2009). But some studies
also suggested that highly attached residents perceive tourism less positively (Gursoy et al.,
2010; Gu & Ryan, 2008), which contradicts previous results. Even though contradictory results are
welcomed as they expose local specificities and open new avenues for research, we need to
tackle the question of appropriate conceptualisation. On that note, the construct of community
attachment originates from the theory of place attachment that involves different elements of a
human-place relationship (e.g. place identity, place dependence, affective attachment, social
bonding, place memory, and place expectation) (Chen et al., 2014). Several recent studies
(Gannon, Mostafa Rasoolimanesh, and Taheri, 2021; Rasoolimanesh et al., 2017; Su & Swanson,
2020; Tournois & Djeric, 2019) treat the construct as unidimensional. On the other hand, Latkova
and Vogt (2012), Lee (2013), Wang and Chen (2015), and Wang et al. (2019) acknowledged that
the study of community attachment needs to be approached more rigorously and embraced the
JOURNAL OF SUSTAINABLE TOURISM 11
multidimensional nature of the construct. These authors showed that the multifaceted construct
of community attachment significantly and directly correlates with perceived positive tourism
impacts and support for tourism. More importantly, studies have shown that elements of the
human-place relationship play different roles in shaping resident perceptions of and reactions to
tourism (
Segota et al., 2022). For example, Wang and Xu (2015) showed that distinctiveness and
self-esteem affect residents’perceptions of positive and negative tourism impacts, while efficacy
was a better predictor of support for tourism. Similarly, the sense of place was shown to posi-
tively influence perceived personal and collective benefits from tourism and support for tourism
development (Zhu et al., 2017).
A second notable debate in the resident attitude research evolves around how an individual’s
power to influence tourism development affects their perceptions and responses to tourism.
Researchers have suggested that residents who feel powerful in influencing tourism develop-
ment are likely to perceive tourism positively, whilst more powerless residents perceive tourism
negatively (for example, Boley et al., 2014; Choi & Murray, 2010; Nunkoo & Smith, 2013; Lee,
2013). However, these studies were not consistent in confirming the significance of the relation-
ships whenever the broader construct of
'
powerʼwas used as an antecedent to perceptions and
reactions to tourism (Boley et al., 2014;
Segota et al., 2017). Commenting on the resident
empowerment construct being too broadly defined and thus open to various interpretations,
Boley et al. (2014) suggested distinguishing between its different dimensions—social, psycho-
logical, and political. In general, all three empowerment dimensions were shown to have “had
direct and significant relationships with resident perceptions of tourism’s impacts”(Boley et al.,
2014, p. 46). More importantly, throughout different studies, Boley and co-authors (e.g.
Maruyama, Woosnam, and Boley et al., 2017; Palardy et al., 2018; Strzelecka et al., 2017) show
that empowerment dimensions differently influence the formation of resident perceptions of
tourism impacts. For example, social and psychological empowerment were better predictors of
resident support for tourism than political empowerment (Strzelecka et al., 2017). Moreover,
using a multidimensional measurement scale led to better cross-cultural comparison and a better
understanding of why residents support tourism development when they report not having dir-
ect economic benefits from tourism (Maruyama et al., 2017).
In conclusion, our analysis of antecedents showed the existence of more than 40 different var-
iables used in resident attitudes studies. Common antecedents include resident and community
characteristics, personal benefits from tourism, and different social identification and empower-
ment constructs. In their own right, these variables are important for individual studies; however,
the main issue with those most commonly used antecedents is the lack of agreement on the
measurement scale (unidimensional vs multidimensional).
Discussion of the tourism impact variables
The tourism impact variables tend to focus on community-level issues with tourism. These varia-
bles answer how an individual perceives tourism to impact collective life in the community and
create conditions for community development (Ahn et al., 2002). Similarly, McKercher et al.
(2015) observe that the perceived impacts of tourism represent an individual’s opinion on differ-
ent types of place change due to tourism.
Historically, tourism impacts were perceived as either positive or negative (e.g. Andereck and
Vogt, 2000; Choi & Murray, 2010; Lee, 2013; Wang and Xu, 2015) or as benefits and costs (Lee,
2013; Nunkoo & Ramkissoon, 2012; Nunkoo, 2015; King et al., 1993; Gursoy et al., 2002). The
dichotomous division could be traced back to two seminal studies. First to Perdue et al. (1990)
study where tourism impacts were initially classified as positive and negative, and secondly to
Lankford and Howard (1994) widely used tourism impact attitude scale where tourism impacts
have been initially classified under either concern for local tourism development (i.e. costs) and
12 T. ŠEGOTA ET AL.
personal and community benefits. Over the years, the resident attitude research provided an
extensive collection of items to measure perceptions of tourism impacts. Sharpley (2014, p. 42,
emphasis in original) rightfully observes that the literature is overwhelmed with a
'
tourism per-
ceptions approachʼ, which “tends to describe what residents perceive, but does not necessarily
explain why”. The admixture of the sustainability discourse with the resident attitude research
extended the classification of tourism impacts into different categories (Mihali
c et al., 2016;
Gursoy et al., 2019). Our analysis showed that the economic, socio-cultural, and environmental
categories were initially established, followed by further categorisation into positive economic,
socio-cultural, and environmental impacts and negative economic, socio-cultural, and environ-
mental impacts. However, these categorisations did not help to clarify the character of the tour-
ism impacts statements, making Perdue et al. (1990) appeal imperceptible. Once more, this
testifies to the circular nature of the resident attitudes research, in which a perspective of the
universal applicability of measurement scales has been applied to a complex resident-tourism
relationship.
Moreover, the review results alluded to two issues originating from coupling impacts and pil-
lars within the tourism-sustainability context. The first issue arises from many studies considering
social and cultural tourism impacts under one construct (Prayag et al., 2013; Stylidis & Terzidou,
2014; Stylidis et al., 2014; Andereck et al., 2007; Frauman & Banks, 2011). However, the difference
between social and cultural impacts needs to be acknowledged.
'
Socialʼimpacts relate to activ-
ities and services that enhance life in the community, including the development of public serv-
ices and facilities due to tourism. In contrast,
'
culturalʼimpacts relate to activities and services
that bring about traditional cultural structures, including preserving a community’s cultural heri-
tage due to tourism (Kim et al., 2013).
The second issue arising from the tourism-sustainability context is the unanimous alignment
of tourism impacts between constructs. The research is inconsistent in attributing measurements
across economic, social, cultural, and environmental impacts, subject to a methodological
approach or theoretical framework. For example, increased quality of public services due to tour-
ism has been perceived as both an economic impact (Harrill & Potts, 2003; Long & Kayat, 2011;
Pappas, 2008) and a socio-cultural impact (Kuvan & Akan, 2012; Stylidis & Terzidou, 2014; Vargas-
Sanchez et al., 2009). Similarly, crowding, protection of historic buildings, and pollution were per-
ceived as environmental (Andereck et al., 2007; Vargas-Sanchez et al., 2009; Stylidis & Terzidou,
2014; Stylidis et al., 2014) and socio-cultural impacts (Dyer et al., 2007; Frauman & Banks, 2011;
Gursoy et al., 2010). These cross-alignments of tourism impacts may reduce noise and variance;
however, they create additional confusion about which impacts are most representative of
each construct.
Our analysis showed that the tourism-sustainability coupling discussed above resulted in
building ‘the list’and adding more tourism impacts over the years instead of providing a better
understanding of which impacts from ‘the list’affect residents personally and which impacts are
felt collectively. There is a lack of studies that make this distinction and a lack of studies that
have examined how tourism affects individuals apart from having economic gains (i.e. personal
economic benefits from tourism). One of the reasons for the lack of such studies could be traced
back to conceptually misinterpreting the initial empirical model by Perdue et al. (1990). To reiter-
ate, the authors called for better clarification of the character of the tourism impacts statements,
which are still left unheard. For example, some communities may suffer from overcrowding, and
their residents may express dissatisfaction with the development and presence of tourism
because they are irritated. However, they may also not have experienced overcrowding because
they do not visit the affected overcrowded areas for some reason. The latter could be because
the affected area is far from where they do their business, a place they have no interest in visit-
ing, or they avoid visiting it during the peak tourist season. Moreover, overcrowding is an old,
new phenomenon that has been around since mass tourism was criticised and is becoming rele-
vant again with the rise of overtourism (Mihali
c, 2020). For now, overcrowding still means
JOURNAL OF SUSTAINABLE TOURISM 13
excessive tourism density or intensity (physical), which irritates residents because of congestion
and the associated negative impacts on the economic, socio-cultural, natural, psychological and
political environment (Mihali
c, 2020). Overtourism is seen as irresponsible tourism that does not
pay attention to the socio-psychological capacities of residents, which is reflected in their nega-
tive perceptions and attitudes towards tourism. Knowledge of its relevance for individuals or
communities remains limited and unexplored.
Discussion of the dependent variables
The dependent variables represent resident responses to tourism. They answer whether residents
oppose or support tourism, its development or tourism-related policies, and how they behave in
relation to tourism. Our analysis showed that the resident attitudes research mostly surveyed
attitudinal responses to tourism, while behavioural responses have been largely neglected.
More specifically, our analysis showed that responses to tourism had been predominately
measured by surveying residents on whether they support or oppose tourism development. In
reflection on Perdue et al.ʼs (1990) model, the
'
support for additional tourism developmentʼhas
evolved from a single item to a multi-item construct (McGehee & Andereck, 2004; Choi & Murray,
2010; Nunkoo & Ramkissoon, 2011; Lee, 2013; Boley et al., 2014; Nunkoo et al., 2012). The con-
struct includes residents’opinions on tourism’s vital role in and importance to community devel-
opment, its economic power as an industry, its promises and help in the community’s future and
growth, and if its positive benefits outweigh the costs. Similarly,
'
support for tourismʼevolved
into an ultimate dependent variable, but the research exhibited inconsistency in its measure-
ment—it ranged from a single-item construct to double-item to multi-item, similar to the case of
antecedent variables. To unite and uniform the research in its take on this dependent variable,
Boley and Strzelecka (2016) proposed a universal measurement of
'
support for tourism.ʼThe uni-
versal measure consisted of four items that reflected individual’s beliefs that tourism should be
actively encouraged, supported and remained important to the community, their opinion on
whether the community should remain a tourist destination and whether the community should
support the promotion of tourism (Boley & Strzelecka, 2016, p. 241). Additionally, many studies
were interested in examining resident support for specific tourism planning and development,
such as nature-based tourism (Jurowski et al., 1997), gambling (Chen & Hsu, 2001; Kang et al.,
1996; Kwan, 2004; Perdue et al., 1999), hunting (MacKay & Campbell, 2004), mega-events (Gursoy
& Kendall, 2006; Sharma & Dyer, 2009; Pappas, 2014; Vetitnev & Bobina, 2017; Oshimi et al.,
2016; Chen & Tian, 2015), cultural tourism (Gursoy et al., 2002; Jurowski & Gursoy, 2004; Sharma
& Dyer, 2009), and mass tourism (Gursoy et al., 2010; Garau-Vadell et al., 2019), to name a few.
Specific tourism policies initially proposed by Perdue et al. (1990), such as restrictions on tourism
development and the introduction of special tourism taxes, remain largely unexplored (Ahn
et al., 2002; Latkova & Vogt, 2012).
However, in addition to knowing how and when residents declare their support for or oppos-
ition to tourism, our understanding of residentsʼother coping mechanisms and reactions to tour-
ism is somewhat limited (Carmichael, 2000; Sharpley, 2014; Jordan et al., 2015; Mart
ın et al.,
2018). The prevalence of the planning approach in the resident attitudes research has predomin-
ately focused on surveying residents about tourism being a reliable tool for improving life in the
community. If and when asked to voice their opinion, residents are willing to do so (
Segota
et al., 2017; Lawton & Weaver, 2015; Hung et al., 2011). However, declarative support for tourism
is different from behavioural reactions: a resident can declare to support tourism in the commu-
nity, but they may avoid tourists, not engage in any tourist activity in their community or even
leave the community in the hype of the tourist season (Palmer et al., 2013). Understanding how
residents behave about tourism opens new avenues of research, which the existing studies have
largely ignored. Indeed, by exploring the attitudes-behaviour relationship, Carmichael (2000,p.
14 T. ŠEGOTA ET AL.
604) has demonstrated that residents with negative perceptions of tourism showed “resigned
acceptance”—that is, residents with a negative perception of tourism accept tourism as a part of
the community development and their behaviour towards tourism-related activities is very pas-
sive. Carmichael (2000) also proposed three additional attitude-behaviour combinations: active-
positive (e.g. aggressively promoting support for tourism), active-negative (e.g. aggressively
opposing tourism), and passive-positive (e.g. passively agreeing with and accepting tourism),
which still need empirical validation (Sharpley, 2014). Moreover, tourism was shown to cause
stress for individuals and communities (Jordan et al., 2019; Jordan et al., 2021). Jordan and his
co-authors discuss how community-wide influence induces individual-level stress and coping
mechanisms. In conclusion, the research field is yet to tackle how resident perceptions of tourism
influence their attitudinal and behavioural responses (Palmer et al., 2013; Sharpley, 2014; Mart
ın
et al., 2018), especially with distinction to individual-level and community-level impacts
of tourism.
Future research directions on tourism perceptions
This section aims to map three future research directions connected to the individual- and com-
munity-level perceptions and reactions to tourism. They derive from our argument that residents
perceive the direct impacts of tourism differently than the impacts on the community and that
residents’attitudinal and behavioural reactions to tourism differ. Therefore, these directions illus-
trate how conceptually distinguishing between individual- and community-level tourism impacts
can be systematically applied to study resident attitudes towards tourism and motivate future
research to better understand the attitudinal and behavioural responses.
Future research directions for antecedent variables of tourism perceptions
The seminal exchange model by Perdue et al. (1990) introduced the personal benefits from tour-
ism as the antecedent to resident perceptions of tourism. As we observed, this particular ante-
cedent variable has evolved from a single to a multi-item measurement. However, most of its
applications were built on the economic perspective of the resident-tourism relationship, where
personal economic benefits are assumed to be the most common type of benefits individuals
would have from tourism. However, at the individual level, as Wang and Pfister (2008) showed,
benefits originating from tourism are not strictly economic but include social and cultural ones.
Therefore, theoretical lenses that could help understand the motivation behind people’s engage-
ment in economic activities such as tourism should go beyond the exchange theory. For
example, Weber’s theory of formal and substantive rationality is one such theory that recognises
rationality as having a spectrum (Boley et al., 2014), on which people’s motivation to engage in
tourism may include economic but social and cultural benefits. This is not to say that the
exchange theory has been wrongfully used in the resident attitude studies, but to emphasise its
misinterpretation as focusing predominately on the economic gains from tourism. Future
research should address questions of what other impacts of tourism exist from increasing choices
for residents based on the community’s tourism development, how are these felt directly by an
individual or their family, and how are these transformed into social and cultural benefits? Here,
we propose future research to use the so-called
'
list of tourism impactsʼ(Deery et al., 2012)asa
resource for identifying direct tourism impacts on the individual. For example,
'
the listʼcan help
identify the most tourism-related activities residents engage in. To illustrate, an increase in enter-
tainment, shopping, and restaurant opportunities is an impact from the list that could help iden-
tify how and to what extent individuals directly use these infrastructures and services. Future
research should look at methodologies more suitable for identifying and analysing such
JOURNAL OF SUSTAINABLE TOURISM 15
interrelated activities—a suggestion, modifying the importance-performance analysis tool to suit
the needs of resident attitudes research.
On the other hand, the increase in the availability of recreational areas due to tourism, one of
the items on the list, could serve as a starting point to examine whether an individual uses a
hotel gym or swimming pool. In this vein, the economic theory of value may serve as a starting
point to conceptually challenge what constitutes the core of the resident-tourism exchange.
Tourism economic scholars emphasise that resources shared between residents and tourists
should be looked at from the use and nonuse value (Dwyer et al., 2010; Dwyer et al., 2016). The
value attributed to community resources that form the core of the resident-tourism relationship
would determine how residents perceive tourism and accept it as a means of community devel-
opment (Nunkoo, 2016). However, from our research in the tourism literature, studies that bring
understanding to how residents value community resources and how that affects perceptions of
and reactions to tourism are scarce. Although the valuation of community resources has been
discussed in some studies (see Boley et al., 2017; Frauman & Banks, 2011), the differentiation
between the use and nonuse value and how these affect perceptions and reactions to tourism
impacts are overlooked. Similar to the observations by Rasoolimanesh et al. (2019), we argue
that residents perceive tourism impacts differently by using or not using community resources,
consequently influencing their responses to tourism.
Future research directions for perceptions of tourism impacts
Future research on how residents perceive tourism to impact life in the community should
address the tourism impact statements’polarisation, categorisation, and character. We acknow-
ledge that tourism impacts are cross-dimensional throughout a community and are not firmly
lodged in any category. Moreover, we also recognise that many tourism impacts are intangible
and thus difficult to measure. For example, measuring residents’opinions on whether they
believe tourism results in tax revenue from tourism services is relatively straightforward, measur-
ing satisfaction with the quality of public services is harder, and measuring the impact of tourism
on the destruction of the natural environment is the hardest. For each of these impacts, we
know that, when monetised, the number is not zero and that tourism impacts are often longer-
term, making them more challenging to relate to the current community state. Nevertheless,
future research in this area should address questions like:
Q1.How do individuals perceive tourism to worsen or improve life in the community?
Q2.How are community-level perceptions of tourism impacts connected to how individuals value different
community resources?
Q3.How and why do perceptions of tourism impacts change across time and space, how do these changes
transform into benefits and costs, and how do residents make trade-offs?
Finding answers to the first and second questions is essential for understanding how and
why residents perceive tourism impacts positively or negatively. The nonuse value of having
tourism to improve the community is very significant. In addition, not having tourism as the
dominant economic activity would result in some other industry taking its place, which could
reverse the positive impacts felt by the presence of tourism. Hence, a resident might value pre-
serving the option to develop the community as a future tourism destination instead of opening
the door for some less desirable industry (e.g. manufacturing, mining, gambling or textiles,
apparel, and leather industry) (Marsiglio, 2015). One of the most pressing issues is that most resi-
dent attitudes studies have not been keen on reporting or further investigating how residents
value different resources and how the latter impacts their perceptions of and reactions
to tourism.
16 T. ŠEGOTA ET AL.
Furthermore, identifying the direction of tourism impacts and understanding how residents
value environmental, social, cultural, and economic community resources requires methodologic
boldness that exceeds some quantitative methods that dominate the research field (Nunkoo
et al., 2013). Lastly, finding answers to the third question will help us understand why residents
do not perceive some negative tourism impacts as highly problematic but rather accept them as
“part of the price of remaining in a tourism destination”(McKercher et al., 2015, p. 63). Such a
perspective uncovers structural, social, and behavioural interdependencies between residents
and tourism.
Future research directions for responses to tourism
Individual-level impacts are more closely related to directly experienced effects, while commu-
nity-level impacts are more related to indirect effects. These will yield different responses to tour-
ism. For example, the individual-level reactions to tourism are behavioural in nature (Camichael,
2000; Sharpley, 2014). Therefore, by identifying individual-level impacts of tourism, future
research in this area should first analyse how individuals engage with tourism intentionally and
unintentionally and/or when and why they decide not to have any contact with tourism. For res-
idents with personal economic benefits from tourism, their encounters with tourists are inten-
tional and based on commercial exchange (Sharpley, 2014). As such, expecting such encounters
to yield nothing less than positive attitudes towards tourism and support for tourism would be
inevitable. Yet, resident behaviour is not singular and absolute, meaning that residents change
between being passive and active. For example, many residents that economically benefit from
tourism might support tourism but refuse to engage with tourists outside of the workplace. One
of the reasons could be that they do not have time for intentional, uncommercially motivating
interactions. Future research should also identify when and why these changes occur.
Second, once a community becomes a tourist destination, it is difficult for residents to com-
pletely sidestep experiencing or forming an opinion on any positive and negative impacts of
tourism, regardless of the effects felt. By distinguishing between attitudinal and behavioural
responses to tourism, future research should address questions such as how important are indi-
vidual- and community-level impacts to residents; which trade-offs residents are willing to make,
and how do these trade-offs manifest in resident declarative support/opposition to tourism and
engagement/avoidance of tourism? For example, a resident might consider an increase in tax
from renting their private accommodation to tourists (i.e. individual-level cost) in favour of
restoring historic buildings and conserving natural resources financed from the tax revenue (i.e.
community-level benefit). These trade-offs are complex and interrelated; thus, future research
should employ survey designs based on choice modelling, contingent ranking, matrices, or con-
tingent valuation that may be more appropriate for measuring the difference of importance in
the levels of impacts as opposed to conventional attitudinal surveys (Boley et al., 2017; Epstein &
Rejc Buhovac, 2014). Moreover, coupling passive/active behaviour with support/opposition to
tourism could perhaps result in a roadmap with scenarios that link the perception of individual-
and community-level impacts of tourism to (dis)engagement in tourism-related activities and
(non)usability of tourism-related resources.
Conclusion
The first aim of this paper was to conceptualise resident perception of and reaction to individ-
ual-level and community-level tourism impacts. This was done by reviewing the existing theoret-
ical/empirical models published between 1990 and 2020. The provided overview of how the
perceptions of and reactions to tourism impacts have been conceptualised and measured vis-
a-vis the distinction between individuals and communities showed fragmented conceptualisation
JOURNAL OF SUSTAINABLE TOURISM 17
and operationalisation of measurement items and variables, indicating a need for better under-
standing and systematisation of the prevalent exchange theory itself. The differentiation between
individual- and community-level impacts of tourism seems to be explicitly incorporated in the
exchange model of Perdue et al. (1990) and recognised by many previous commentaries on the
state of the research. However, most studies still treat how an individual reacts to tourism in
connection to perceived direct tourism impact to their life and life in a community as unidimen-
sional and static. In general, the research field has theoretically over-relied on the social
exchange theory to countlessly explain that individuals who perceive to have benefited from
tourism would exhibit more favourable attitudes towards tourism (Sharpley, 2014). If, according
to Gursoy et al. (2019), the exchange is the key to study the attitudes, future research needs to
move beyond the focus on the unidimensional relationship between perceived impacts and atti-
tudes because this leads to either accumulating conceptualisations or empirically testing these
conceptualisations with methods that are not suitable for the study of highly interdependent
and complex social phenomenon like a resident-tourism relationship.
The second contribution of this paper is three specific directions for future research. These
three directions are connected to three sets of variables (i.e. antecedent variables, tourism impact
variables, and dependent variables) that were mapped against the relational structures pioneer-
ingly proposed by Perdue et al. (1990). While the proposed future directions may only scratch
the surface of a very complex and highly interrelated relationship between residents and tour-
ism, it is believed that they provide with sufficiently structured and provoking compass for future
researchers that are willing to challenge existing perspectives and measurements to study resi-
dent attitudes towards tourism. Pursuing these three research directions is merely a more struc-
tured start to answering Perdue et al. (1990) and Ap’s(1992) questions of how residents support
tourism in connection to how they perceive to benefit from it both individually and collectively.
The proposed directions should further advance the application of the exchange theory in study-
ing the complex resident-tourism relationship by integrating a new perspective of differentiating
between perceived individual- and community-level tourism impacts. In addition, the proposed
directions call for a more comprehensive distinction between attitudinal and behavioural
responses to tourism. Attitudinal reactions represent declarative support for tourism because a
resident can declare to support tourism in the community. However, they may avoid tourists,
not engage in any tourist activity in their community or even leave the community in the hype
of the tourist season. The latter examples represent behavioural responses, which remain
largely ignored.
This review paper is not without limitations. The academic literature review study is viewed as
an observational study of the evidence (Egger & Smith, 2001; Snyder, 2019). It is focused on a
specific research question that needs identifying, selecting, assessing, and summarising the find-
ing of similar but separate studies (Eden et al., 2011). Identification and selection criteria often
relate to reporting biases: e.g. publishing bias, time-lag bias, multiple publication bias, language
bias, outcome reporting bias, etc. (Egger et al., 2001). This paper is subject to a few biases that
we see as limitations and need further clarification. In this case, language bias was considered
not only from the aspect of publishing but also from the aspect of authors’limited language
proficiency. For this reason, papers published in languages other than English were excluded
from this study. Time-lag bias was also considered when selecting papers, as we included articles
published from 1990 to 2020, also considering that published
'
online firstʼin the year 2020.
Finally, to control for multiple single-study outcomes as much as possible, the authors docu-
mented sample details for each study to avoid unwitting duplication. In addition, one might
claim that only specific keywords were used in the data collection process and that many quality
research papers were excluded from the analysis because they were not quantitative studies.
Therefore, future research that aims to be an observational study of the evidence might address
these limitations as follows: (1) invite authors with other than English language proficiency and
hence consider resident attitudes studies published in other languages (i.e. Spanish, German,
18 T. ŠEGOTA ET AL.
Mandarin etc.), (2) expand the keywords used in data collection beyond those used in this review
paper, such as tourism development, local perception, stakeholder perception etc., (3) include
other than quantitative articles, such as conceptual articles cluster analysis articles, qualitative
studies, and articles that did not specify empirical model and/or measurement instrument, and
(4) extend the publication period observed to include the papers published before 1990 and
after 2020.
Acknowledgements
The authors wish to thank the editor, anonymous reviewers and prof. Larry Dwyer, on their time and effort in
improving this paper. The authors acknowledge the financial support from the Slovenian Research Agency
(research core funding No. P5-0117 and No. BI-US/16-17-012).
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes on contributors
Tina
Segota is a Senior Lecturer at the Faculty of Business at the University of Greenwich, UK. She is also an
Associate Professor in Tourism at the Faculty of Tourism at the University of Maribor, Slovenia. She is a multi-
award-winning academic with research and teaching experience in marketing and tourism worldwide. Her current
research interests include destination advertising and marketing, tourism seasonality, tourism and quality of life,
place branding and place attachment, and children in tourism destinations.
Tanja Mihali
cis a professor at the School of Economics and Business at the University of Ljubljana (SEBLU),
Slovenia. Her research interests are in the field of sustainability science from the perspective of ecological, eco-
nomic, and political science of making tourism sustainable. Her current research focuses on stakeholders’attitudes
towards tourism development and presence and the socio-political aspects of sustainability. She is the author of
several academic publications and an active co-editor or member of editorial boards of many academic journals.
Richard R. Perdue is the R.B. Pamplin Professor Emeritus of Hospitality and Tourism Management in the Virginia
Tech Pamplin College of Business. He is an elected fellow and former president of the International Academy for
the Study of Tourism. He is also a former president of the Travel and Tourism Research Association. From 2002 to
2014, he served as editor of the Journal of Travel Research. His research focuses on destination strategy, revenue
management, pricing, and destination marketing.
ORCID
Tina
Segota http://orcid.org/0000-0001-7994-1396
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