2,098
Views
4
CrossRef citations to date
0
Altmetric
Articles

COVID-19’s impact on tourism: will compensatory travel intention appear?

, , , ORCID Icon &

References

  • Agrawal, N., & Maheswaran, D. (2005). The effects of self-construal and commitment on persuasion. Journal of Consumer Research, 31(4), 841–849. https://doi.org/10.1086/426620
  • Al-Smadi, M., Qawasmeh, O., Al-Ayyoub, M., Jararweh, Y., & Gupta, B. (2018). Deep recurrent neural network vs. support vector machine for aspect-based sentiment analysis of arabic hotels’ reviews. Journal of Computational Science, 27, 386–393. https://doi.org/10.1016/j.jocs.2017.11.006
  • Backman, Kenneth F, Backman, Sheila J., & Silverberg, Kenneth E. (2014). An investigation into the psychographics of senior nature-based travellers. Tourism Recreation Research, 24(1), 13–22. http://dx.doi.org/10.1080/02508281.1999.11014853
  • Bakshi, R. K., Kaur, N., Kaur, R., & Kaur, G. (2016). Opinion mining and sentiment analysis. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 452–455.
  • Baloglu, Seyhmus. (1998). An empirical investigation of attitude theory for tourist destinations: a comparison of visitors and nonvisitors. Journal of Hospitality & Tourism Research, 22(3), 211–224. http://dx.doi.org/10.1177/109634809802200301
  • Billings, R., & Marcus, S. (1983). Measures of compensatory and noncompensatory models of decision behavior: Process tracing versus policy capturing. Organizational Behavior and Human Performance, 31(3), 331–352. https://doi.org/10.1016/0030-5073(83)90129-0
  • Buckley, R., & Westaway, D. (2020). Mental health rescue effects of women’s outdoor tourism: A role in COVID-19 recovery. Annals of Tourism Research, 85, 103041. https://doi.org/10.1016/j.annals.2020.103041
  • Carleton, R. N., Collimore, K., & Asmundson, G. (2010). “It’s not just the judgements—It’s that I don’t know”: Intolerance of uncertainty as a predictor of social anxiety. Journal of Anxiety Disorders, 24(2), 189–195. https://doi.org/10.1016/j.janxdis.2009.10.007
  • Chaturvedi, S. (2009). Pandemic influenza: Imminent threat, preparedness and the divided globe. Indian Pediatrics, 46, 115–121. https://doi.org/10.1007/s12098-008-0233-0
  • ChunChu, C., Petrick, J. F., & Shahvali, M. (2016). Tourism experiences as a stress reliever: Examining the effects of tourism recovery experiences on life satisfaction. Journal of Travel Research, 55(2), 150–160. https://doi.org/10.1177/0047287514546223
  • Cutright, K. (2012). The beauty of boundaries: When and Why We seek structure in consumption. Journal of Consumer Research, 38(5). https://doi.org/10.1086/661563
  • Davidov, D., Tsur, O., & Rappoport, A. (2010). Enhanced sentiment learning using Twitter hashtags and smileys. Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 241–249.
  • DeLorme, D. E., Zinkhan, G. M., & Hagen, S. C. (2004). The process of consumer reactions to possession threats and losses in a natural disaster. Marketing Letters, 15(4), 185–199. https://doi.org/10.1007/s11002-005-0456-z
  • Frattaroli, J. (2006). Experimental disclosure and its moderators: A meta-analysis. Psychological Bulletin, 132(6), 823–865. https://doi.org/10.1037/0033-2909.132.6.823
  • Gao, Q., Abel, F., Houben, G.-J., & Yu, Y. (2012). A comparative study of users’ microblogging behavior on Sina Weibo and Twitter. 7379. https://doi.org/10.1007/978-3-642-31454-4_8
  • Gao, L., Wheeler, S. C., & Shiv, B. (2009). The “shaken self”: Product choices as a means of restoring self-view confidence. Journal of Consumer Research, 36(1), 29–38. https://doi.org/10.1086/596028
  • Guan Zicheng. (2020, March 24). The search volume of May Day travel products has increased by more than 70%, and domestic tourism is gradually stepping into the path of recovery. Beijing Business Today. https://baijiahao.baidu.com/s?id=1662036228588267321&wfr=spider&for=pc/
  • Gunten, C. D. V., & Scherer, L. D. (2019). Self–other differences in multiattribute decision making: Compensatory versus noncompensatory decision strategies. Journal of Behavioral Decision Making, 32(2), 109–123. https://doi.org/10.1002/bdm.2099
  • 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
  • He, W., Tian, X., Tao, R., Zhang, W., Yan, G., & Akula, V. (2017). Application of social media analytics: A case of analyzing online hotel reviews. Online Information Review, 41(7), 921–935. https://doi.org/10.1108/OIR-07-2016-0201
  • Higgins-Desbiolles, F. (2021). The “war over tourism”: challenges to sustainable tourism in the tourism academy after COVID-19. Journal of Sustainable Tourism, 29(0), 551–569. https://doi.org/10.1080/09669582.2020.1803334
  • Hofmann, W., & Friese, M. (2008). Impulses got the better of me: Alcohol moderates the influence of implicit attitudes toward food cues on eating behavior. Journal of Abnormal Psychology, 117(2), 420–427. https://doi.org/10.1037/0021-843X.117.2.420
  • Huimin, G. U., & Wall, G.. (2006). The effects of SARS on China’s tourism enterprises. Beijing, CN: Tourism and the New Asia: Implications for Research, Policy and Practice.
  • Jeong, B., Yoon, J., & Lee, J.-M. (2019). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management, 48, 280–290. https://doi.org/10.1016/j.ijinfomgt.2017.09.009
  • Kim, S., & Gal, D. (2014). From compensatory consumption to adaptive consumption: The role of self-acceptance in resolving self-deficits. Journal of Consumer Research, 41(2), 526–542. https://doi.org/10.1086/676681
  • Kim, Soo, & Rucker, Derek D. (2012). Bracing for the Psychological Storm: Proactive versus Reactive Compensatory Consumption. Journal of Consumer Research, 39(4), 815–830. http://dx.doi.org/10.1086/665832
  • Koles, B., Wells, V., & Tadajewski, M. (2018). Compensatory consumption and consumer compromises: A state-of-the-art review. Journal of Marketing Management, 34(1–2), 96–133. https://doi.org/10.1080/0267257X.2017.1373693
  • Krippendorf, Jost. (1986). The new tourist — turning point for leisure and travel. Tourism Management, 7(2), 131–135. http://dx.doi.org/10.1016/0261-5177(86)90025-7
  • La, V.-P., Pham, T.-H., Ho, T., Nguyen, H., Nguyen, P., Vuong, T.-T., Nguyen, H. K., Tran, T., Khuc, Q., Ho, T., & Vuong, Q.-H. (2020). Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons. Sustainability, 12(7), 2931. https://doi.org/10.3390/su12072931
  • Landis, B., & Gladstone, J. J. (2017). Personality, income, and compensatory consumption: Low-income extraverts spend more on status. Psychological Science, 28(10), 1518–1520. https://doi.org/10.1177/0956797617714811
  • 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
  • Levav, J., & Zhu, R. J. (2009). Seeking freedom through variety. Journal of Consumer Research, 36(4), 600–610. https://doi.org/10.1086/599556
  • Mandel, N., Rucker, D. D., Levav, J., & Galinsky, A. D. (2017). The compensatory consumer behavior model: How self-discrepancies drive consumer behavior. Journal of Consumer Psychology, 27(1), 133–146. https://doi.org/10.1016/j.jcps.2016.05.003
  • Mannell, R. C., & Iso-Ahola, S. E. (1987). Psychological nature of leisure and tourism experience. Annals of Tourism Research, 14(3), 314–331. https://doi.org/10.1016/0160-7383(87)90105-8
  • Marschall, S. (2012). ‘Personal memory tourism’ and a wider exploration of the tourism−memory nexus. Journal of Tourism and Cultural Change, 10(4), 321–335. https://doi.org/10.1080/14766825.2012.742094
  • Micu, A., Micu, A. E., Geru, M., & Lixandroiu, R. C. (2017). Analyzing user sentiment in social media: Implications for online marketing strategy. Psychology & Marketing, 34(12), 1094–1100. https://doi.org/10.1002/mar.21049
  • Miller, R. L., & Mulligan, R. D. (2002). Terror management: The effects of mortality salience and locus of control on risk-taking behaviors. Personality and Individual Differences, 33(7), 1203–1214. https://doi.org/10.1016/S0191-8869(02)00009-0
  • Nakayama, M., & Wan, Y. (2019). The cultural impact on social commerce: A sentiment analysis on Yelp ethnic restaurant reviews. Information & Management, 56(2), 271–279. https://doi.org/10.1016/j.im.2018.09.004
  • Pang, B., Lee, L., & Vaithyanathan, S. (2002). Thumbs up? Sentiment classification using machine learning techniques. ArXiv:Cs/0205070. http://arxiv.org/abs/cs/0205070
  • Patodkar, V. N., & Sheikh, I. R. (2016). Twitter as a corpus for sentiment analysis and opinion mining. International Journal of Advanced Research in Computer and Communication Engineering IJARCCE, 5(12), 320–322. https://doi.org/10.17148/IJARCCE.2016.51274
  • Pearce, P. (2005). Tourist behaviour: Themes and conceptual schemes. https://doi.org/10.21832/9781845410247
  • Pennebaker, J. (1997). Writing about emotional experiences as a therapeutic process. Psychological Science, 8(3), 162–166. https://doi.org/10.1111/j.1467-9280.1997.tb00403.x
  • Qiu, R. T. R., Park, J., Li, S., & Song, H. (2020). Social costs of tourism during the COVID-19 pandemic. Annals of Tourism Research, 84, 102994. https://doi.org/10.1016/j.annals.2020.102994
  • Reisinger, Y., & Mavondo, F. (2005). Travel anxiety and intentions to travel internationally: Implications of travel risk perception. Journal of Travel Research, 43(3), 212–225. https://doi.org/10.1177/0047287504272017
  • Richter, L. (2003). International tourism and its global public health consequences. Journal of Travel Research, 41(4), 340–347. https://doi.org/10.1177/0047287503041004002
  • Rothbaum, F., Weisz, J., & Snyder, S. (1982). Changing the world and changing the self: A two-process model of perceived control. Journal of Personality and Social Psychology, 42(1), 5–37. https://doi.org/10.1037/0022-3514.42.1.5
  • Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80(1), 1–28. https://doi.org/10.1037/h0092976
  • Rucker, D., & Galinsky, A. (2008). Desire to acquire: Powerlessness and compensatory consumption. Journal of Consumer Research, 35(2), 257–267. https://doi.org/10.1086/588569
  • Shao, Y., Hu, Z., Luo, M., Huo, T., & Zhao, Q. (2020). What is the policy focus for tourism recovery after the outbreak of COVID-19? A co-word analysis. Current Issues in Tourism, 0(0), 1–6. https://doi.org/10.1080/13683500.2020.1806798
  • Shen, C., Chen, A., Luo, C., Zhang, J., Feng, B., & Liao, W. (2020). Using reports of symptoms and diagnoses on social media to predict COVID-19 case counts in mainland China: Observational infoveillance study. Journal of Medical Internet Research, 22(5), e19421. https://doi.org/10.2196/19421
  • Spencer, D. (2013). Effectiveness of intra-destination television advertising of tourist attractions and facilities. Journal of Destination Marketing & Management, 2(3), 155–164. https://doi.org/10.1016/j.jdmm.2013.05.003
  • Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011). Lexicon-Based methods for sentiment analysis. Computational Linguistics, 37(2), 267–307. https://doi.org/10.1162/COLI_a_00049
  • Tesser, A. (1988). Toward a self-evaluation maintenance model of social behavior. Advances in Experimental Social Psychology, 21, 181–227. https://doi.org/10.1016/S0065-2601(08)60227-0
  • Um, Seoho, & Crompton, John L. (1990). Attitude determinants in tourism destination choice. Annals of Tourism Research, 17(3), 432–448. http://dx.doi.org/10.1016/0160-7383(90)90008-F
  • Wilson, T., Wiebe, J., & Hoffmann, P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, 347–354. https://doi.org/10.3115/1220575.1220619
  • Wöllmer, M., Weninger, F., Knaup, T., Schuller, B., Sun, C., Sagae, K., & Morency, L. (2013). Youtube movie reviews: Sentiment analysis in an audio-visual context. IEEE Intelligent Systems, 28(3), 46–53. https://doi.org/10.1109/MIS.2013.34
  • Yan, G., He, W., Shen, J., & Tang, C. (2014). A bilingual approach for conducting Chinese and English social media sentiment analysis. Computer Networks, 75, 491–503. https://doi.org/10.1016/j.comnet.2014.08.021
  • Yu, M., Li, Z., Yu, Z., He, J., & Zhou, J. (2020). Communication related health crisis on social media: A case of COVID-19 outbreak. Current Issues in Tourism, 1–7. https://doi.org/10.1080/13683500.2020.1752632
  • Zeng, B., Carter, R. W., & De Lacy, T. (2005). Short-term perturbations and tourism effects: The case of SARS in China. Current Issues in Tourism, 8(4), 306–322. https://doi.org/10.1080/13683500508668220

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.