Tourists’ preventive travel behaviour during COVID-19: the mediating role of attitudes towards applying non-pharmaceutical interventions (NPIs) while travelling

References

• Abraham, V., Bremser, K., Carreno, M., Crowley-Cyr, L., & Moreno, M. (2021). Exploring the consequences of COVID-19 on tourist behaviors: Perceived travel risk, animosity and intentions to travel. Tourism Review, 76(4), 701–717. https://doi.org/10.1108/TR-07-2020-0344
   Web of Science ®Google Scholar
• Agyeiwaah, E., Adam, I., Dayour, F., & Badu, F. (2021). Perceived impacts of COVID-19 on risk perceptions, emotions, and travel intentions: Evidence from Macau higher educational institutions. Tourism Recreation Research, 46(2), 195–211. https://doi.org/10.1080/02508281.2021.1872263
   Web of Science ®Google Scholar
• Aiken, L. S. (2011). Advancing health behavior theory: The interplay among theories of health behavior, empirical modelling of health behavior, and behavioral interventions. In H. S. Friedman (Ed.), The Oxford handbook of health psychology (pp. 613–636). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195342819.013.0025
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I., & Albarracín, D. (2007). Predicting and changing behavior: A reasoned action approach. In I. Ajzen, D. Albarracín, & R. Hornik (Eds.), Prediction and change health behavior: Applying the reasoned action approach (pp. 3–21). Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Anaki, D., & Sergay, J. (2021). Predicting health behavior in response to the coronavirus disease (COVID-19): Worldwide survey results from early March 2020. PLoS One, 16(1), e0244534. https://doi.org/10.1371/journal.pone.0244534
   PubMed Web of Science ®Google Scholar
• Bae, S. Y., & Chang, P.-J. (2021). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intentions towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020). Current Issues in Tourism, 24(7), 1017–1035. https://doi.org/10.1080/13683500.2020.1798895
   Web of Science ®Google Scholar
• Blais, A.-R., & Weber, E. U. (2006). A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1(1), 33–47. Retrieved August 9, 2022, from https://ssrn.com/abstract=1301089. https://doi.org/10.1017/S1930297500000334
   Web of Science ®Google Scholar
• Cahyanto, I., Wiblishauser, M., Pennington-Gray, L., & Schroeder, A. (2016). The dynamics of travel avoidance: The case of Ebola in the U.S. Tourism Management Perspectives, 20, 195–203. https://doi.org/10.1016/j.tmp.2016.09.004
   PubMed Web of Science ®Google Scholar
• Castañeda-García, J. A., Sabiote-Ortiz, C. M., Vena-Oya, J., & Epstein, D. M. (2022). Meeting public health objectives and supporting the resumption of tourist activity through COVID-19: A triangular perspective. Current Issues in Tourism, 1–18. https://doi.org/10.1080/13683500.2022.2062306
   Web of Science ®Google Scholar
• Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education. Theory, research, and practice (pp. 45–65). Jossey-Bass.
   Google Scholar
• Chaulagain, S., Pizam, A., & Wang, Y. (2021). An integrated behavioral model for medical tourism: An American perspective. Journal of Travel Research, 60(4), 761–778. https://doi.org/10.1177/0047287520907681
   Web of Science ®Google Scholar
• Chien, P. M., Sharifpour, M., Ritchie, B. W., & Watson, B. (2017). Travelers’ health risk perceptions and protective behavior: A psychological approach. Journal of Travel Research, 56(6), 744–759. https://doi.org/10.1177/0047287516665479
   Web of Science ®Google Scholar
• Choi, J., Lee, A., & Ok, C. (2013). The effects of consumers’ perceived risk and benefit on attitude and behavioral intention: A study of street food. Journal of Travel & Tourism Marketing, 30(3), 222–237. https://doi.org/10.1080/10548408.2013.774916
   Web of Science ®Google Scholar
• Chung, J. Y., Lee, C.-K., & Park, Y.-N. (2021). Trust in social non-pharmaceutical interventions and travel intention during a pandemic. Journal of Vacation Marketing, 27(4), 437–448. https://doi.org/10.1177/13567667211009584
   Web of Science ®Google Scholar
• Das, S. S., & Tiwari, A. K. (2021). Understanding international and domestic travel intention of Indian travellers during COVID-19 using a Bayesian approach. Tourism Recreation Research, 46(2), 228–244. https://doi.org/10.1080/02508281.2020.1830341
   Web of Science ®Google Scholar
• Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modelling, 8(3), 430–457. https://doi.org/10.1207/S15328007SEM0803_5
   Web of Science ®Google Scholar
• Farnham, A., Ziegler, S., Blanke, U., Stone, E., Hatz, C., & Puhan, M. A. (2018). Does the DOSPERT scale predict risk-taking behaviour during travel? A study using smartphones. Journal of Travel Medicine, 25(1), 1–7. https://doi.org/10.1093/jtm/tay064
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
   Web of Science ®Google Scholar
• FSO. (2021a). Educational attainment by sex and age group [Dataset]. Retrieved September 26 2022 from. https://www.bfs.admin.ch/bfs/de/home/statistiken/bildung-wissenschaft/bildungsindikatoren/themen/wirkung/bildungsstand.assetdetail.16324570.html
   Google Scholar
• FSO. (2021b). Population size and change in Switzerland in 2020: Definitive figures. Retrieved September 26, 2022 from https://www.bfs.admin.ch/bfs/en/home/statistics/population/ageing.gnpdetail.2021-0180.html
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
   Google Scholar
• Haverila, M. J., McLaughlin, C., & Haverila, K. (2022). The impact of social influence on perceived usefulness and behavioral intentions in the usage of non-pharmaceutical interventions (NPIs). International Journal of Healthcare Management, 1–12. https://doi.org/10.1080/20479700.2022.2082635
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Huang, X., Dai, S., & Xu, H. (2020). Predicting tourists’ health risk preventative behaviour and travelling satisfaction in Tibet: Combining the theory of planned behaviour and health belief model. Tourism Management Perspectives, 33, 100589. https://doi.org/10.1016/j.tmp.2019.100589
   Web of Science ®Google Scholar
• Hystad, P. W., & Keller, P. C. (2008). Towards a destination tourism disaster management framework: Long-term lessons from a forest fire disaster. Tourism Management, 29(1), 151–162. https://doi.org/10.1016/j.tourman.2007.02.017
   Web of Science ®Google Scholar
• Keinan, R., Idan, T., & Bereby-Meyer, Y. (2021). Compliance with COVID-19 prevention guidelines: Active vs. passive risk takers. Judgment and Decision Making, 16(1), 20–35. Retrieved September 14, 2022 from http://journal.sjdm.org/20/201125a/jdm201125a.html. https://doi.org/10.1017/S1930297500008287
   Web of Science ®Google Scholar
• Kim, M. J., Bonn, M., & Hall, C. M. (2022a). What influences COVID-19 biosecurity behaviour for tourism? Current Issues in Tourism, 25(1), 21–27. https://doi.org/10.1080/13683500.2021.1883558
   Web of Science ®Google Scholar
• Kim, N., Lee, S., Lee, C.-K., & Suess, C. (2022b). Predicting preventive travel behaviors under the COVID-19 pandemic through an integration of health belief model and value-belief-norm. Tourism Management Perspectives, 43, 100981. https://doi.org/10.1016/j.tmp.2022.100981
   PubMed Web of Science ®Google Scholar
• Konc, I., Petrović, K., & Dinić, B. M. (2022). Dark tetrad and COVID-19 protective measures: Mediating effects of risk-taking tendencies. Personality and Individual Differences, 86, 111341. https://doi.org/10.1016/j.paid.2021.111341
   Google Scholar
• Laver, S. M., Wetzels, J., & Behrens, R. H. (2001). Knowledge of malaria, risk perception, and compliance with prophylaxis and personal and environmental preventive measure in travelers exiting Zimbabwe from Harare and Victoria Falls international airport. Journal of Travel Medicine, 8(6), 298–303. https://doi.org/10.2310/7060.2001.23975
   PubMed Web of Science ®Google Scholar
• Lee, C.-K., Song, H.-J., Bendle, L., Kim, M.-J., & Han, H. (2012). The impact of non-pharmaceutical interventions for 2009 H1N1 influenza on travel intentions: A model of goal-directed behavior. Tourism Management, 33(1), 89–99. https://doi.org/10.1016/j.tourman.2011.02.006
   PubMed Web of Science ®Google Scholar
• Liu, L.-Y., Wu, W.-N., & McEntire, D. A. (2021a). Six Cs of pandemic emergency management: A case study of Taiwan’s initial response to the COVID-19 pandemic. International Journal of Disaster Risk Reduction, 64, 102516. https://doi.org/10.1016/j.ijdrr.2021.102516
   PubMed Web of Science ®Google Scholar
• Liu, Y., Shi, H., Li, Y., & Amin, A. (2021b). Factors influencing Chinese residents’ post-pandemic outbound travel intentions: An extended theory of planned behavior model based on the perception of COVID-19. Tourism Review, 76(4), 871–891. https://doi.org/10.1108/TR-09-2020-0458
   Web of Science ®Google Scholar
• Matsunaga, M. (2010). How to factor-analyze your data right: Do’s, don’ts, and how-to’s. International Journal of Psychological Research, 3(1), 97–110. https://doi.org/10.21500/20112084.854
   Google Scholar
• Montanaro, E. A., & Bryan, A. D. (2014). Comparing theory-based condom interventions: Health belief model versus theory of planned behavior. Health Psychology, 33(10), 1251–1260. https://doi.org/10.1037/a0033969
   PubMed Web of Science ®Google Scholar
• Neuburger, L., & Egger, R. (2021). Travel risk perception and travel behaviour during the COVID-19 pandemic 2020: A case study of the DACH region. Current Issues in Tourism, 24(7), 1003–1016. https://doi.org/10.1080/13683500.2020.1803807
   Web of Science ®Google Scholar
• Ohnmacht, T., Hüsser, A. P., & Thao, V. T. (2022). Pointers to Interventions for Promoting COVID-19 Protective Measures in Tourism: A Modelling Approach Using Domain-Specific Risk-Taking Scale, Theory of Planned Behaviour, and Health Belief Model. Frontiers in Psychology, 13, https://www.frontiersin.org/articles/10.3389fpsyg.2022.940090/full
   Google Scholar
• Pahrudin, P., Chen, C.-T., & Liu, L.-W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic COVID-19 in Indonesia. Heliyon, 7(10), e08230. https://doi.org/10.1016/j.heliyon.2021.e08230
   PubMed Web of Science ®Google Scholar
• Park, S., & Oh, S. (2022). Factors associated with preventive behaviors for COVID-19 among adolescents in South Korea. Journal of Pediatric Nursing, 62, e69–e79. https://doi.org/10.1016/j.pedn.2021.07.006
   PubMed Web of Science ®Google Scholar
• Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 31(6), 797–805. https://doi.org/10.1016/j.tourman.2009.08.006
   Web of Science ®Google Scholar
• Rahmafitria, F., Suryadi, K., Oktadiana, H., Purboyo, H., & Rosyidie, A. (2021). Applying knowledge, social concern and perceived risk in planned behavior theory for tourism in the COVID-19 pandemic. Tourism Review, 76(4), 809–828. https://doi.org/10.1108/TR-11-2020-0542
   Web of Science ®Google Scholar
• Rosenstock, I. M. (1960). What research in motivation suggests for public health. American Journal of Public Health, 50(3), 295–302. https://doi.org/10.2105/AJPH.50.3_Pt_1.295
   Web of Science ®Google Scholar
• Rosenstock, I. M. (1966). Why people use health services. The Milbank Quarterly, 83(4), 1–32. https://doi.org/10.1111/j.1468-0009.2005.00425.x
   Google Scholar
• Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2(4), 354–386. https://doi.org/10.1177/109019817400200405
   Google Scholar
• Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the health belief model. Health Education Quarterly, 15(2), 175–183. https://doi.org/10.1177/109019818801500203
   PubMedGoogle Scholar
• Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
   Web of Science ®Google Scholar
• Sánchez-Arenas, R., Doubova, S. V., González-Pérez, M. A., & Pérez-Couevas, R. (2021). Factors associated with COVID-19 preventive health behaviors among the general public in Mexico City and the State of Mexico. PLoS One, 16(7), e0254435. https://doi.org/10.1371/journal.pone.0254435
   PubMed Web of Science ®Google Scholar
• Sánchez-Cañizares, S. M., Cabeza-Ramírez, L. J., Muñoz-Fernández, G., & Fuentes-García, F. J. (2021). Impact of the perceived risk from Covid-19 on intention to travel. Current Issues in Tourism, 24(7), 970–984. https://doi.org/10.1080/13683500.2020.1829571
   Web of Science ®Google Scholar
• Seddig, D., Maskileyson, D., Davidov, E., & Ajzen, I. (2022). Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticism. Social Science & Medicine, 302, 114981. https://doi.org/10.1016/j.socscimed.2022.114981
   PubMed Web of Science ®Google Scholar
• Song, Q., Mi, Y., & Ruan, L. (2022). Pros and cons factors influence population attitudes toward non-pharmaceutical interventions and vaccination during post-COVID-19. Public Health, 211, 88–96. https://doi.org/10.1016/j.puhe.2022.07.010
   PubMed Web of Science ®Google Scholar
• Steinmetz, H., Knappstein, M., Ajzen, I., Schmidt, P., & Kabst, R. (2016). How effective are behavior change interventions based on the theory of planned behavior? A three-level meta-analysis. Zeitschrift für Psychologie, 224(3), 216–233. https://doi.org/10.1027/2151-2604/a000255
   Web of Science ®Google Scholar
• Suess, C., Maddock, J. E., Dogru, T., Mody, M., & Lee, S. (2022). Using the health belief model to examine travelers’ willingness to vaccinate and support for vaccination requirements prior to travel. Tourism Management, 88, 104405. https://doi.org/10.1016/j.tourman.2021.104405
   PubMed Web of Science ®Google Scholar
• Thao, V. T., Hüsser, A. P., & Ohnmacht, T. (2022). A combined theory-based explanatory model for predicting tourists’ travel intentions during the COVID-19 pandemic: The role of individual’s assessment of the compliance with non-pharmaceutical interventions. Discover Psychology, 2(1), 36. https://link.springer.com/article/10.1007s44202-022-00046-2 https://doi.org/10.1007/s44202-022-00046-2
   Google Scholar
• Weber, E., Blais, A.-R., & Betz, N. E. (2002). A domain-specific risk-attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15(4), 263–290. https://doi.org/10.1002/bdm.414
   Web of Science ®Google Scholar
• Yeh, S.-S. (2021). Tourism recovery strategy against COVID-19 pandemic. Tourism Recreation Research, 46(2), 188–194. https://doi.org/10.1080/02508281.2020.1805933
   Web of Science ®Google Scholar
• Zhang, H., Li, L., Yang, Y., & Zhang, J. (2018). Why do domestic tourists choose to consume local food? The differential and non-monotonic moderating effects of subjective knowledge. Journal of Destination Marketing & Management, 10, 68–77. https://doi.org/10.1016/j.jdmm.2018.06.001
   Web of Science ®Google Scholar
• Zheng, D., Luo, Q., & Ritchie, B. W. (2021). Afraid to travel after COVID-19? Self-protection, coping and resilience against pandemic ‘travel fear’. Tourism Management, 83, 104261. https://doi.org/10.1016/j.tourman.2020.104261
   Web of Science ®Google Scholar