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Articles

Impact of the perceived risk from Covid-19 on intention to travel

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 970-984 | Received 03 Jul 2020, Accepted 21 Sep 2020, Published online: 13 Oct 2020

References

  • Statista. (2020). Impacto del coronavirus en el sector turístico en España. Datos estadísticos. [Coronavirus impact in the tourism sector in Spain. Statistical Data]. https://es.statista.com/temas/6510/impacto-del-coronavirus-en-el-sector-turistico-en-espana/
  • Agag, G., Brown, A., Hassanein, A., & Shaalan, A. (2020). Decoding travelers’ willingness to pay more for green travel products: Closing the intention-behaviour gap. Journal of Sustainable Tourism, 28(10), 1551–1575. https://doi.org/10.1080/09669582.2020.1745215
  • Agarwal, V. (2014). A/H1N1 vaccine intentions in college students: An application of the theory of planned behavior. Journal of American College Health, 62(6), 416–424. https://doi.org/10.1080/07448481.2014.917650
  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control. SSSP Springer series in social psychology (pp. 11–39). Springer.
  • 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
  • Al Ziadat, M. T. (2015). Applications of planned behavior theory (TPB) in Jordanian tourism. International Journal of Marketing Studies, 7(3), 95–106. https://doi.org/10.5539/ijms.v7n3p95
  • Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
  • Bae, S. Y., & Chang, P. J. (2020). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural intention towards ‘untact’ tourism in South Korea during the first wave of the pandemic. Current Issues in Tourism, Advance online publication. https://doi.org/10.1080/13683500.2020.1754354
  • Bagozzi, R., Dholakia, U. M., & Basuroy, S. (2003). How effortful decisions get enacted: The motivating role of decision processes, desires, and anticipated emotions. Journal of Behavioral Decision Making, 16(4), 273–295. https://doi.org/10.1002/bdm.446
  • Bapuji, H., Patel, C., Ertug, G., & Allen, D. G. (2020). Corona crisis and inequality: Why management research needs a societal turn. Journal of Management, 46(7), 1205–1222. https://doi.org/10.1177/0149206320925881
  • Bruwer, J., & Cohen, J. (2019). Restaurants and wine by-the-glass consumption: Motivational process model of risk perception, involvement and information-related behaviour. International Journal of Hospitality Management, 77, 270–280. https://doi.org/10.1016/j.ijhm.2018.07.006
  • Cakar, K. (2020). Tourophobia: Fear of travel resulting from man-made or natural disasters. Tourism Review, 22), Advance online publication. https://doi.org/10.1108/TR-06-2019-0231
  • Carmines, E. G., & Zeller, R. A. (1979). Quantitative Applications in the social Sciences: Reliability and validity Assessment. SAGE University Papers.
  • Chang, S. Y. (2009). Australians’ holiday decisions in China: A study combining novelty-seeking and risk-perception behaviors. Journal of China Tourism Research, 5(4), 364–387. https://doi.org/10.1080/19388160903382533
  • Chaulagain, S., Pizam, A., & Wang, Y. (2020). An integrated behavioral model for medical tourism: An American perspective. Journal of Travel Research, Advance online publication. https://doi.org/10.1177/0047287520907681
  • Cheer, J. M. (2020). Human flourishing, tourism transformation and COVID-19: A conceptual touchstone. Tourism Geographies, 22(3), 514–524. https://doi.org/10.1080/14616688.2020.1765016
  • Chen, R. J. C., & Noriega, P. (2004). The impacts of terrorism. Journal of Travel & Tourism Marketing, 15(2–3), 81–97. https://doi.org/10.1300/J073v15n02_05
  • Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), vii–xvi.
  • Chin, W. W., & Dibbern, J. (2010). An introduction to a permutation based procedure for multi-group PLS analysis: Results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial least Squares: Concepts, Methods and Applications (pp. 171–193). Springer Berlin Heidelberg.
  • Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A. Mu, K., Rossi, L., Sun, K., Viboud, C., Xiong, X., Yu, H., Halloran, M. E., Longini, I. M., Vespignani, A., (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368(6489), 395–400. doi:10.1126/science.aba9757
  • Chuo, H. Y. (2014). Restaurant diners’ self-protective behavior in response to an epidemic crisis. International Journal of Hospitality Management, 38, 74–83. https://doi.org/10.1016/j.ijhm.2014.01.004
  • Cornes, R., & Sandler, T. (1996). The theory of externalities, public goods, and club goods (2 ed.). Cambridge University Press.
  • Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Longman Higher Education.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Fuchs, G., & Reichel, A. (2006). Tourist destination risk perception: The case of Israel. Journal of Hospitality & Leisure Marketing, 14(2), 83–108. https://doi.org/10.1300/J150v14n02_06
  • Gollwitzer, P. M., & Sheeran, P. (2006). Implementation intentions and goal achievement: A meta-analysis of effects and processes. In M. P. Zanna (Ed.), Advances in Experimental social Psychology (pp. 69–119). Elsevier Academic Press Inc.
  • Gossling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: A rapid assessment of COVID-19. Journal of Sustainable Tourism, 1–20. Advance online publication. https://doi.org/10.1080/09669582.2020.1758708
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
  • Hall, C. M. (2010). Crisis events in tourism: Subjects of crisis in tourism. Current Issues in Tourism, 13(5), 401–417. https://doi.org/10.1080/13683500.2010.491900
  • Han, H., Hsu, L.-T., & Sheu, C. (2010). Application of the theory of planned behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325–334. https://doi.org/10.1016/j.tourman.2009.03.013
  • Henseler, J., Ringle Christian, M., & Sinkovics Rudolf, R. (2009). The use of partial least squares path modeling in international marketing. In R. S. Rudolf & N. G. Pervez (Eds.), New Challenges to international marketing (pp. 277–319). Emerald Group.
  • Hsu, M. C. (2013). The management of sports tourism: A causal modeling test of the theory of planned behaviour. International Journal of Management, 30(2), 474. https://search.proquest.com/docview/1367068976?accountid=14520.
  • Hsu, C. H. C., & Huang, S. (2012). An extension of the theory of planned behavior model for tourists. Journal of Hospitality & Tourism Research, 36(3), 390–417. https://doi.org/10.1177/1096348010390817
  • Hsu, C. H. C., Kang, S. K., & Lam, T. (2006). Reference group influences among Chinese travelers. Journal of Travel Research, 44(4), 474–484. https://doi.org/10.1177/0047287505282951
  • Hultman, M., Kazeminia, A., & Ghasemi, V. (2015). Intention to visit and willingness to pay premium for ecotourism: The impact of attitude, materialism, and motivation. Journal of Business Research, 68(9), 1854–1861. https://doi.org/10.1016/j.jbusres.2015.01.013
  • INE. (2020). Personas viajeras por edad, según destino y duración del viaje. [Traveling people by age according to destination and trip length]. https://www.ine.es/jaxiT3/Tabla.htm?t=25756
  • Karl, M. (2016). Risk and uncertainty in travel decision-making: Tourist and destination perspective. Journal of Travel Research, 57(1), 129–146. https://doi.org/10.1177/0047287516678337
  • Kozak, M., Crotts, J. C., & Law, R. (2007). The impact of the perception of risk on international travelers. International Journal of Tourism Research, 9(4), 233–242. https://doi.org/10.1002/jtr.607
  • Lam, T., & Hsu, C. H. C. (2006). Predicting behavioral intention of choosing a travel destination. Tourism Management, 27(4), 589–599. https://doi.org/10.1016/j.tourman.2005.02.003
  • Lee, C. K., Song, H. J., Bendle, L. J., 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
  • Lepp, A., & Gibson, H. (2003). Tourist roles, perceived risk and international tourism. Annals of Tourism Research, 30(3), 606–624. https://doi.org/10.1016/S0160-7383(03)00024-0
  • Li, J., Nguyen, T. H. H., & Coca-Stefaniak, J. A. (2020). Coronavirus impacts on post-pandemic planned travel behaviours. Annals of Tourism Research, Advance online publication. https://doi.org/10.1016/j.annals.2020.102964
  • Lobb, A. E., Mazzocchi, M., & Traill, W. B. (2007). Modelling risk perception and trust in food safety information within the theory of planned behaviour. Food Quality and Preference, 18(2), 384–395. https://doi.org/10.1016/j.foodqual.2006.04.004
  • Martin, D. S., Ramamonjiarivelo, Z., & Martin, W. S. (2011). MEDTOUR: A scale for measuring medical tourism intentions. Tourism Review, 66(1–2), 45–56. https://doi.org/10.1108/16605371111127233
  • Nowacki, M. (2013). The determinants of satisfaction of tourist attractionś visitors. Active.
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
  • OECD. (2020a). OECD economic outlook, Interim report March 2020. OECD.
  • OECD. (2020b). OECD tourism Trends and Policies 2020. OECD.
  • Park, S. H., Hsieh, C. M., & Lee, C. K. (2017). Examining Chinese college students’ intention to travel to Japan using the extended theory of planned behavior: Testing destination image and mediating role of travel constraints. Journal of Travel & Tourism Marketing, 34(1), 113–131. https://doi.org/10.1080/10548408.2016.1141154
  • Phetvaroon, K. (2006). Application of the theory of planned behavior to select a destination after a crisis: A case study of Phuket, Thailand. Oklahoma State University.
  • 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
  • Ramdas, M., & Mohamed, B. (2014). Impacts of tourism on environmental attributes, environmental literacy and willingness to pay: A conceptual and theoretical review. Procedia-Social Behavioral Sciences, 144, 378–391. https://doi.org/10.1016/j.sbspro.2014.07.307
  • Rittichainuwat, B. N., & Chakraborty, G. (2009). Perceived travel risks regarding terrorism and disease: The case of Thailand. Tourism Management, 30(3), 410–418. https://doi.org/10.1016/j.tourman.2008.08.001
  • Shen, S., Schüttemeyer, A., & Braun, B. (2009). Visitorś intention to visit world cultural heritage sites: An empirical study of Suzhou. China. Journal of Travel & Tourism Marketing, 26(7), 722–734. https://doi.org/10.1080/10548400903284610
  • Shi, Q. J., Dorling, D., Cao, G. Z., & Liu, T. (2020). Changes in population movement make COVID-19 spread differently from SARS. Social Science & Medicine, 255, 113036. https://doi.org/10.1016/j.socscimed.2020.113036
  • Sönmez, S., & Graefe, A. (1998). Determining future travel behavior from past travel experience and perceptions of risk and safety. Journal of Travel Research, 37(2), 171–177. https://doi.org/10.1177/004728759803700209
  • Sparks, B., & Pan, G. W. (2009). Chinese outbound tourists: Understanding their attitudes, constraints and use of information sources. Tourism Management, 30(4), 483–494. https://doi.org/10.1016/j.tourman.2008.10.014
  • 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 Fur Psychologie-Journal of Psychology, 224(3), 216–233. doi:10.1027/2151-2604/a000255
  • Tavitiyaman, P., & Qu, H. (2013). Destination image and behavior intention of travelers to Thailand: The moderating effect of perceived risk. Journal of Travel & Tourism Marketing, 30(3), 169–185. https://doi.org/10.1080/10548408.2013.774911
  • Wang, M., Jin, Z., Fan, S., Ju, X., & Xiao, X. (2020a). Chinese residents’ preferences and consuming intentions for hotels after COVID-19 pandemic: A theory of planned behaviour approach. Anatolia, 1–4. Advance online publication. https://doi.org/10.1080/13032917.2020.1795894
  • Wang, C., Zhang, J. H., Sun, J. K., Chen, M., & Yang, J. H. (2020b). Public environmental facilities: Hygiene factors for tourists’ environmental behaviour. Environmental Science & Policy, 106, 40–47. https://doi.org/10.1016/j.envsci.2020.01.009
  • Wei, S., Ang, T., & Jancenelle, V. E. (2018). Willingness to pay more for green products: The interplay of consumer characteristics and customer participation. Journal of Retailing and Consumer Services, 45, 230–238. https://doi.org/10.1016/j.jretconser.2018.08.015
  • Wen, J., Kozak, M., Yang, S. H., & Liu, F. (2020). COVID-19: Potential effects on Chinese citizens’ lifestyle and travel. Tourism Review, 14, Advance online publication. https://doi.org/10.1108/TR-03-2020-0110
  • Yeung, R. M. W., & Yee, W. M. S. (2020). Travel destination choice: Does perception of food safety risk matter? British Food Journal, 122(6), 1919–1934. https://doi.org/10.1108/BFJ-09-2018-0631
  • Yuzhanin, S., & Fisher, D. (2016). The efficacy of the theory of planned behavior for predicting intentions to choose a travel destination: A review. Tourism Review, 71(2), 135–147. https://doi.org/10.1108/TR-11-2015-0055
  • Zhang, Y., Yang, H., Cheng, P., & Luqman, A. (2020). Predicting consumers’ intention to consume poultry during an H7N9 emergency: An extension of the theory of planned behavior model. Human and Ecological Risk Assessment: An International Journal, 26(1), 190–211. https://doi.org/10.1080/10807039.2018.1503931
  • Zhu, D.-S., O’Neal, G. S., Lee, Z.C., & Chen, Y. H. (2009). The effect of trust and perceived risk on consumers’ online purchase intention. In 2009 International Conference on Computational Science and Engineering (August 29-31, pp. 771–776). IEEE.

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