The recent eruption of COVID-19 has led to the adverse effect to the people and the economy across the world where it has brought life, companies, and the tourism industry to a halt. Consequently, it has been said that this impact will depend not only on the length of the pandemic but also potential long-term changes in travel behaviour as a result of the crisis. Nonetheless, as trips become safer during post pandemic, people may need extra encouragement to travel again, and one promising way to do this is through continuous use of novel immersive technologies that are able to provide timely information and protect them from the pandemic. Hence, grounded by the Expectation-Confirmation Model (ECM), the purpose of this study is to examine tourists’ continuance intention to use e-tourism technologies such as social media, mobile apps, augmented reality, and smart technologies, as well as websites and reservation systems, in the Malaysian context during post pandemic period. Data were collected from 200 respondents using purposive sampling method. Subsequently, the data were analysed using SPSS. The multiple regression analysis result of the main model shows that satisfaction in using e-tourism technologies was found to be the most important factor in determining the continuance intention in those technologies, explaining 76.3% of the variance. On the other hand, confirmation highly influences satisfaction in using e-tourism technologies, explaining 60.6% of the variance. Finally, the similar findings to the present study are discussed. Undoubtedly, this study provides good insights for tourism application developers and service providers in understanding tourist behaviour in terms of continuance intention to use e-tourism technologies during the post pandemic era.
Bernama (2020). Covid-19: Malaysia's tourism industry hit with RM45 billion in losses. New Straits Times.
https://www.nst.com.my/news/nation/2020/06/604012/covid-19-malaysias-tourism-industry-hit-rm45-billion-losses
Bhattacherjee, A. (2001). Understanding information systems continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.
Chong, A. Y.-L. (2013). Understanding mobile commerce continuance intentions: An empirical analysis of Chinese consumers. The Journal of Computer Information Systems, 53(4), 22–30.
Euromonitor International (2020). Strategic briefing -The impact of Coronavirus on the global economy. Retrieved May 26, 2020 from https://www.euromonitor.com/the-impact-of-coronavirus-on-the-global-economy/report
Gilbert, J. (2020). Tourism players need further stimulus: OYO proposes RM200 vouchers to encourage Malaysians to travel. New Straits Times.
https://www.pressreader.com/malaysia/new-straits-times/20201022/281741271908339
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.
Hsiao, W.-H., & Chang, T.-S. (2013). Understanding consumers’ continuance intention towards mobile advertising: A theoretical framework and empirical study. Behaviour & Information Technology, 33(7), 1–13.
Hsiao, C.-H., Chang, J.-J., & Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355. doi:10.1016/j.tele.2015.08.014
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134–159.
Moorhouse, N. (2020). Can virtual reality help tourism destinations recover from COVID-19? Retrieved July 7, 2020 from https://www.mmu.ac.uk/news-and-events/news/story/12589/
Mouakket, S. (2015). Factors influencing continuance intention to use social network sites: The Facebook case. Computers in Human Behavior, 53(December), 102–110. http://doi.org/10.1016/j.chb.2015.06.045
Oghuma, A. P., Chang, Y., Libaque-Saenz, C. F., Park, M.-C., & Rho, J. J. (2015). Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea. Telecommunications Policy, 39(8), 1–20. doi:10.1016/j.telpol.2015.07.009
Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34–47. doi:10.1016/j.tele.2015.05.006
Pololikashvili, Z. (2020). New technology and political will can give tourism the post-COVID-19 lift needed to save jobs. Retrieved July 2, 2020 from
`https://www.euronews.com/2020/07/02/new-technology-and-political-will-can-give-tourism-the-post-covid-19-lift-needed-to-save-j
Pourfakhimi, S., Duncan, T., Ould, L., Allan, K., & Coetzee, W. (2020). Acceptance and adoption of e-tourism technologies. In Z. Xiang et al. (Eds.), Handbook of e-tourism (pp. 1 – 31). Springer Nature AG 2020. https://doi.org/10.1007/978-3-030-05324-6_58-1
Sekaran, U., & Bougie, R. (2013). Research methods for business: A skill building approach (6th ed.). John Wiley & Sons Ltd.
Thominathan, S., & Ramayah, T. (2014). Explaining the e-government usage using Expectation Confirmation Model: The case of electronic tax filing in Malaysia. In L. G. Anthopoulos & C. G. Reddick (Eds.), Government e-strategic planning and management (pp. 287–304). Springer Science+Business Media New York. http://doi.org/10.1007/978-1-4614-8462-2
Thong, J., Hong, S., & Tam, K. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799– 810.
Yoo, C. W., Goo, J., Huang, C. D., Nam, K., & Woo, M. (2017). Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy. Technological Forecasting & Social Change, 123(2017), 330-341. http://dx.doi.org/10.1016/j.techfore.2016.10.071.
In-Text Citation: (Luqman et al., 2022)
To Cite this Article: Luqman, A., Li, C. C., & Mohamad, S. S. (2022). Factors Affecting Continuance Intention in E-Tourism Technologies Amidst Covid-19 Pandemic. International Journal of Academic Research in Business and Social Sciences, 12(4), 630–638.
Copyright: © 2022 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
