Kyung Hee University · Social Sciences
Professor Robin Nunkoo's research lab specializes in tourism sociology and community-based tourism research, with a strong focus on residents' attitudes and support for tourism development. The lab investigates the socio-psychological and structural factors influencing community perceptions, using advanced quantitative methods such as structural equation modeling (SEM) and cross-country regression analysis. Key research directions include the application of social exchange theory to understand tourism impacts, the role of perceived benefits and costs, and the influence of tourism on public health outcomes—evidenced by studies on tourism and the COVID-19 pandemic. The lab emphasizes theory-driven research and methodological rigor in tourism social science.
Figures are computed from collected data and may differ slightly.
This paper is a longitudinal study of 140 articles on residents’ attitudes to tourism published in Annals of Tourism Research, Tourism Management, and Journal of Travel Research from 1984 to 2010. Content analysis was used to determine the nature of the articles and the research approaches used. Although most articles were atheoretical, over the survey period an increasing proportion of studies made use of a variety of theories drawn from other disciplines to investigate the topic. The majority
This study examines the relationship between international tourism and COVID-19 cases and associated deaths in more than 90 nations. We use a cross-country regression analysis and find a positive correlation between international tourism and the cumulated level of COVID-19 confirmed cases and death by April 30, 2020. Our regression analyses show that countries exposed to high flows of international tourism are more prone to cases and deaths caused by the COVID-19 outbreak. This association is ro
Social exchange theory (SET) has made significant contributions to research on residents’ support for tourism. Nevertheless, studies are based on an incomplete set of variables and are characterized by alternative, yet contradictory, and theoretically sound research propositions. Using key constructs of SET, this study develops a baseline model of residents’ support and compares it with four competing models. Each model contains the terms of the baseline model and additional relationships reflec
This study reviewed use of covariance-based structural equation modeling (SEM) in 209 articles published in nine tourism journals between 2000 and 2011. Time-series analysis suggested that the number of SEM publications is explained by linear and quadratic time effects. Results indicated that although SEM practices have improved in some areas, tourism researchers do not always engage in the recommended best practices. Problematic areas were related to testing of alternative a priori models, repo
This study develops and tests a structural model of residents’ support tourism development, with the social exchange theory as its theoretical base. The model incorporates three exogenous latent variables, namely, community satisfaction with neighborhood conditions, community commitment, and satisfaction with community services. Perceived positive and negative impacts of tourism are proposed as the mediating variables between the exogenous latent variables and the ultimate dependent variable, gi
This paper explores the concept of structural equation modelling (SEM) and discusses the steps which researchers should follow when using this technique. This involves the development of a theoretical model, testing of a confirmatory measurement model, and evaluating the structural model with hypothesised path relations. For the benefit of readers, the discussion is supported by an illustration of a theoretical model predicting residents’ support for tourism, developed on the premise of the soci
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