Embracing the Future: Perceived Value, Technology Optimism and VR Tourism Behavioral Outcomes Among Generation Z

References

• Adeola, O., Hinson, R. R., & Evans, O. (2020). Social media in marketing communications: A synthesis of successful strategies for the digital generation. In George, B., & Paul, J. (Eds.), Digital transformation in business and society (vol. 4, pp. 61–81). Palgrave Macmillan.
   Google Scholar
• Albayrak, T., & Caber, M. (2018). Examining the relationship between tourist motivation and satisfaction by two competing methods. Tourism Management, 69, 201–213. https://doi.org/10.1016/j.tourman.2018.06.015
   Web of Science ®Google Scholar
• Anand, K., Arya, V., Suresh, S., & Sharma, A. (2023). Quality dimensions of Augmented Reality-based mobile apps for smart-tourism and its impact on customer satisfaction & reuse intention. Tourism Planning & Development, 20(2), 236–259. https://doi.org/10.1080/21568316.2022.2137577
   Web of Science ®Google Scholar
• Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473
   Web of Science ®Google Scholar
• Atzeni, M., Del Chiappa, G., & Mei Pung, J. (2022). Enhancing visit intention in heritage tourism: The role of object-based and existential authenticity in non-immersive virtual reality heritage experiences. International Journal of Tourism Research, 24(2), 240–255. https://doi.org/10.1002/jtr.2497
   Web of Science ®Google Scholar
• Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656. https://doi.org/10.1086/209376
   Web of Science ®Google Scholar
• Bogicevic, V., Seo, S., Kandampully, J. A., Liu, S. Q., & Rudd, N. A. (2019). Virtual reality presence as a preamble of tourism experience: The role of mental imagery. Tourism Management, 74, 55–64. https://doi.org/10.1016/j.tourman.2019.02.009
   Web of Science ®Google Scholar
• Brislin, R. W. (1970). Back-translations for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910457000100301
   Web of Science ®Google Scholar
• Caber, M., Albayrak, T., & Crawford, D. (2020). Perceived value and its impact on travel outcomes in youth tourism. Journal of Outdoor Recreation and Tourism, 31, 100327. https://doi.org/10.1016/j.jort.2020.100327
   Google Scholar
• Chen, T., Guo, W., Gao, X., & Liang, Z. (2021). AI-based self-service technology in public service delivery: User experience and influencing factors. Government Information Quarterly, 38(4), 101520. https://doi.org/10.1016/j.giq.2020.101520
   Web of Science ®Google Scholar
• Cheng, J. W., & Mitomo, H. (2017). The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications. Telematics and Informatics, 34(2), 528–539. https://doi.org/10.1016/j.tele.2016.09.010
   Web of Science ®Google Scholar
• Colwell, S. R., Aung, M., Kanetkar, V., & Holden, A. L. (2008). Toward a measure of service convenience: Multiple-item scale development and empirical test. Journal of Services Marketing, 22(2), 160–169. https://doi.org/10.1108/08876040810862895
   Google Scholar
• Denys, V., & Mendes, J. (2014). Consumption values and destination evaluation in destination decision making. Journal of Spatial and Organizational Dynamics, 2(1), 4–22. https://econpapers.repec.org/article/risjspord/0019.htm
   Google Scholar
• Dewailly, J. M. (1999). Sustainable tourist space: From reality to virtual reality? Tourism Geographies, 1(1), 41–55. https://doi.org/10.1080/14616689908721293
   Google Scholar
• Djafarova, E., & Bowes, T. (2021). ‘Instagram made me buy it’: Generation Z impulse purchases in fashion industry. Journal of Retailing and Consumer Services, 59, 102345. https://doi.org/10.1016/j.jretconser.2020.102345
   Web of Science ®Google Scholar
• Doorn, J. V., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., & Grewal, D. (2017).
   Google Scholar
• Flow, F. (1997). The psychology of engagement with everyday life. Basic Books.
   Google Scholar
• Fornell, C., & Larcker, D. (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
   Web of Science ®Google Scholar
• Gabrielova, K., & Buchko, A. A. (2021). Here comes generation Z: Millennials as managers. Business Horizons, 64(4), 489–499. https://doi.org/10.1016/j.bushor.2021.02.013
   Web of Science ®Google Scholar
• Gao, J., Ren, L., Yang, Y., Zhang, D., & Li, L. (2022). The impact of artificial intelligence technology stimuli on smart customer experience and the moderating effect of technology readiness. International Journal of Emerging Markets, 17(4), 1123–1142. https://doi.org/10.1108/IJOEM-06-2021-0975
   Web of Science ®Google Scholar
• Ge, Y., & Linduff, K. M. (1990). Sanxingdui: A new Bronze Age site in southwest China. Antiquity, 64(244), 505–513. https://doi.org/10.1017/S0003598X00078406
   Web of Science ®Google Scholar
• Geng, L., Li, Y., Zhang, Y., Jiang, Z., & Xu, Y. (2023). Advancing tourism recovery through virtual tourism marketing: An integrated approach of uses and gratifications theory and attachment to VR. Current Issues in Tourism, 27(2), 234–250. https://doi.org/10.1080/13683500.2023.2177834
   Web of Science ®Google Scholar
• Gilal, F. G., Gilal, N. G., Tariq, B., Gilal, R. G., Gilal, R. G., Gong, Z., & Channa, N. A. (2021). Intergenerational differences in fans’ motivation to watch the T20 world cup: A generation cohort theory perspective. International Journal of Sports Marketing and Sponsorship, 22(2), 197–219. https://doi.org/10.1108/IJSMS-09-2019-0094
   Web of Science ®Google Scholar
• Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
   Web of Science ®Google Scholar
• Heeter, C. (1992). Being there: The subjective experience of presence. Presence: Teleoperators and Virtual Environments, 1(2), 262–271. https://doi.org/10.1162/pres.1992.1.2.262
   Google Scholar
• Huang, Y., Backman, S. J., Backman, K. F., & Moore, D. (2013). Exploring user acceptance of 3D virtual worlds in travel and tourism marketing. Tourism Management, 36(C), 490–501. https://doi.org/10.1016/j.tourman.2012.09.009
   Google Scholar
• Hwang, J. S., Kim, E. Y., & Hwang, T. M. (2023). Empirical study on effects of gratification on continuous usage intention of AR avatars in smart mirrors: Focus on Generation Z. International Journal of Human-Computer Interaction.
   Web of Science ®Google Scholar
• Itani, O. S., & Hollebeek, L. D. (2021). Light at the end of the tunnel: Visitors’ virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19. Tourism Management, 84(4), 104290. https://doi.org/10.1016/j.tourman.2021.104290
   PubMedGoogle Scholar
• Jasrotia, S. S., Kamila, M. K., Chib, S., & Mishra, H. G. (2022). Role of engagement in online gaming: A study of generation Z customers. Digital Creativity, 33(1), 64–76. https://doi.org/10.1080/14626268.2022.2033272
   Web of Science ®Google Scholar
• Jung, T. H., Bae, S., Moorhouse, N., & Kwon, O. (2021). The impact of user perceptions of AR on purchase intention of location-based AR navigation systems. Journal of Retailing and Consumer Services, 61(7/8), 102575. https://doi.org/10.1016/j.jretconser.2021.102575
   Google Scholar
• Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50. https://doi.org/10.1016/j.bushor.2019.09.003
   Web of Science ®Google Scholar
• Kaur, P., Dhir, A., Rajala, R., & Dwivedi, Y. (2018). Why people use online social media brand communities. A consumption value theory perspective. Online Information Review, 42(2), 205–221. https://doi.org/10.1108/OIR-12-2015-0383
   Web of Science ®Google Scholar
• Keh, H. T., & Pang, J. (2010). Customer reactions to service separation. Journal of Marketing, 74(2), 55–70. https://doi.org/10.1509/jm.74.2.55
   Web of Science ®Google Scholar
• Kemeny, A., George, P., Mérienne, F., & Colombet, F. (2017). New VR navigation techniques to reduce cybersickness. Electronic Imaging, 29(3), 48–53. https://doi.org/10.2352/ISSN.2470-1173.2017.3.ERVR-097
   Google Scholar
• Kim, M. J., & Hall, C. M. (2019). A hedonic motivation model in virtual reality tourism: Comparing visitors and non-visitors. International Journal of Information Management, 46(4), 236–249. https://doi.org/10.1016/j.ijinfomgt.2018.11.016
   Google Scholar
• Kim, M. J., Lee, C., & Jung, T. (2020). Exploring consumer behavior in virtual reality tourism using an extended stimulus- organism-response model. Journal of Travel Research, 59(1), 69–89. https://doi.org/10.1177/0047287518818915
   Web of Science ®Google Scholar
• Kim, S., Jang, S., Choi, W., Youn, C., & Lee, Y. (2022). Contactless service encounters among Millennials and Generation Z: The effects of Millennials and Gen Z characteristics on technology self-efficacy and preference for contactless service. Journal of Research in Interactive Marketing, 16(1), 82–100. https://doi.org/10.1108/JRIM-01-2021-0020
   Web of Science ®Google Scholar
• Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580. https://doi.org/10.17705/1jais.00302
   Web of Science ®Google Scholar
• Lee, H., Jung, T. H., Tom Dieck, M. C., & Chung, N. (2020). Experiencing immersive virtual reality in museums. Information & Management, 57(5), 103229. https://doi.org/10.1016/j.im.2019.103229
   Web of Science ®Google Scholar
• Leung, W. K., Chang, M. K., Cheung, M. L., & Shi, S. (2023). VR tourism experiences and tourist behavior intention in COVID-19: An experience economy and mood management perspective. Information Technology & People, 36(3), 1095–1125. https://doi.org/10.1108/ITP-06-2021-0423
   Web of Science ®Google Scholar
• Leung, W. K., Cheung, M. L., Chang, M. K., Shi, S., Tse, S. Y., & Yusrini, L. (2022). The role of virtual reality interactivity in building tourists’ memorable experiences and post-adoption intentions in the COVID-19 era. Journal of Hospitality and Tourism Technology, 13(3), 481–499. https://doi.org/10.1108/JHTT-03-2021-0088
   Web of Science ®Google Scholar
• Leung, W. K., Shi, S., & Chow, W. S. (2019). Impacts of user interactions on trust development in C2C social commerce: The central role of reciprocity. Internet Research, 30(1), 335–356. https://doi.org/10.1108/INTR-09-2018-0413
   Web of Science ®Google Scholar
• Li, H., & Liu, Y. (2014). Understanding post-adoption behaviors of e-service users in the context of online travel services. Information & Management, 51(8), 1043–1052. https://doi.org/10.1016/j.im.2014.07.004
   Web of Science ®Google Scholar
• Li, Y., Qiu, T., Guo, J., & Li, Y. (2023). New discoveries at the Sanxingdui Bronze Age site in south-west China. Antiquity, 97(391), 1–8. https://doi.org/10.15184/aqy.2022.150
   Web of Science ®Google Scholar
• Li, Y., Song, H., & Guo, R. (2021). A study on the causal process of virtual reality tourism and its attributes in terms of their effects on subjective well-being during COVID-19. International Journal of Environmental Research and Public Health, 18(3), 1019. https://doi.org/10.3390/ijerph18031019
   PubMed Web of Science ®Google Scholar
• Liu, H., Meng-Lewis, Y., Ibrahim, F., & Zhu, X. (2021). Superfoods, super healthy: Myth or reality? Examining consumers’ repurchase and WOM intention regarding superfoods; A theory of consumption values perspective. Journal of Business Research, 137(7), 69–88. https://doi.org/10.1016/j.jbusres.2021.08.018
   Google Scholar
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
   Google Scholar
• Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2021). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 24(2), 192–210. https://doi.org/10.1080/13683500.2019.1706457
   Web of Science ®Google Scholar
• Morganosky, M. A. (1986). Cost-versus convenience-oriented consumers: Demographic, lifestyle, and value perspectives. Psychology & Marketing, 3(1), 35–46. https://doi.org/10.1002/mar.4220030104
   Google Scholar
• Negm, E. (2023). Intention to use Internet of Things (IoT) in higher education online learning – the effect of technology readiness. Higher Education, Skills and Work-Based Learning, 13(1), 53–65. https://doi.org/10.1108/HESWBL-05-2022-0121
   Web of Science ®Google Scholar
• Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw-Hill.
   Google Scholar
• Ortet, C. P., Veloso, A. I., & Vale Costa, L. (2022). Cycling through 360° virtual reality tourism for senior citizens: Empirical analysis of an assistive technology. Sensors, 22(16), 6169. https://doi.org/10.3390/s22166169
   PubMed Web of Science ®Google Scholar
• Palos-Sanchez, P., Saura, J. R., Velicia-Martin, F., & Cepeda-Carrion, G. (2021). A business model adoption based on tourism innovation: Applying a gratification theory to mobile applications. European Research on Management and Business Economics, 27(2), 100149. https://doi.org/10.1016/j.iedeen.2021.100149
   Web of Science ®Google Scholar
• Pizzi, G., Vannucci, V., & Aiello, G. (2020). Branding in the time of virtual reality: Are virtual store brand perceptions real? Journal of Business Research, 119(1), 502–510. https://doi.org/10.1016/j.jbusres.2019.11.063
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Poláková, P., & Klímová, B. (2019). Mobile technology and Generation Z in the English language classroom – a preliminary study. Education Sciences, 9(3), 203. https://doi.org/10.3390/educsci9030203
   Web of Science ®Google Scholar
• Priporas, C. V., Stylos, N., & Kamenidou, I. E. (2020). City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: Predictors of city- related social media engagement. Journal of Business Research, 119, 453–463. https://doi.org/10.1016/j.jbusres.2019.05.019
   Web of Science ®Google Scholar
• Puchkova, E. B., Sukhovershina, Y. V., & Temnova, L. V. (2017). A study of Generation Z’s involvement in virtual reality. Psychology in Russia, 10(4), 134–143. https://doi.org/10.11621/pir.2017.0412
   Google Scholar
• Sánchez, J., Callarisa, L., Rodríguez, R. M., & Moliner, M. A. (2006). Perceived value of the purchase of a tourism product. Tourism Management, 27(3), 394–409. https://doi.org/10.1016/j.tourman.2004.11.007
   Web of Science ®Google Scholar
• Saneinia, S., Zhou, R., Gholizadeh, A., & Asmi, F. (2022). Immersive media-based tourism emerging challenge of VR addiction among Generation Z. Frontiers in Public Health, 10, 1017242. https://doi.org/10.3389/fpubh.2022.1017242
   PubMed Web of Science ®Google Scholar
• Seo, D., & Bernsen, M. (2016). Comparing attitudes toward e-government of non-users versus users in a rural and urban municipality. Government Information Quarterly, 33(2), 270–282. https://doi.org/10.1016/j.giq.2016.02.002
   Web of Science ®Google Scholar
• Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy and what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/10.1016/0148-2963(91)90050-8
   Web of Science ®Google Scholar
• Shin, H. H., & Jeong, M. (2021). Travelers’ motivations to adopt augmented reality (AR) applications in a tourism destination. Journal of Hospitality and Tourism Technology, 12(2), 389–405. https://doi.org/10.1108/JHTT-08-2018-0082
   Web of Science ®Google Scholar
• Smith, K. T. (2017). Mobile advertising to digital natives: Preferences on content, style, personalization, and functionality. Journal of Strategic Marketing, 27(1), 67–80. https://doi.org/10.1080/0965254X.2017.1384043
   Web of Science ®Google Scholar
• Talwar, M., Talwar, S., Kaur, P., Islam, A. K. M. N., & Dhir, A. (2020). Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory. Journal of Retailing and Consumer Services, 63(C), 102396. https://doi.org/10.1016/j.jretconser.2020.102396
   Google Scholar
• Talwar, S., Kaur, P., Nunkoo, R., & Dhir, A. (2022). Digitalization and sustainability: Virtual reality tourism in a post pandemic world. Journal of Sustainable Tourism, 31(11), 2564–2591. https://doi.org/10.1080/09669582.2022.2029870
   Web of Science ®Google Scholar
• Teng, C. (2018). Look to the future: Enhancing online gamer loyalty from the perspective of the theory of consumption values. Decision Support Systems, 114, 49–60. https://doi.org/10.1016/j.dss.2018.08.007
   Web of Science ®Google Scholar
• Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information & Management, 47(1), 53–59. https://doi.org/10.1016/j.im.2009.10.002
   Web of Science ®Google Scholar
• Tussyadiah, I. P., Wang, D., Jung, T. H., & Tom Dieck, M. C. (2018). Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management, 66, 140–154. https://doi.org/10.1016/j.tourman.2017.12.003
   Web of Science ®Google Scholar
• Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206–215. https://doi.org/10.1016/j.im.2006.12.005
   Web of Science ®Google Scholar
• Wang, Y., So, K. K. F., & Sparks, B. A. (2017). Technology readiness and customer satisfaction with travel technologies: A cross-country investigation. Journal of Travel Research, 56(5), 563–577. https://doi.org/10.1177/0047287516657891
   Web of Science ®Google Scholar
• Wei, W., Qi, R., & Zhang, L. (2019). Effects of virtual reality on theme park visitors’ experience and behaviors: A presence perspective. Tourism Management, 71(2), 282–293. https://doi.org/10.1016/j.tourman.2018.10.024
   Google Scholar
• Wei, Z., Zhang, J., Huang, X., & Qiu, H. (2023). Can gamification improve the virtual reality tourism experience? Analyzing the mediating role of tourism fatigue. Tourism Management, 96, 104715. https://doi.org/10.1016/j.tourman.2022.104715
   Web of Science ®Google Scholar
• White, G. (2022). Generation Z: Cyber-attack awareness training effectiveness. Journal of Computer Information Systems, 62(3), 560–571. https://doi.org/10.1080/08874417.2020.1864680
   Web of Science ®Google Scholar
• Wood, S. (2013). Generation Z as consumers: Trends and innovation, institute for emerging issues. NC State University.
   Google Scholar
• World Travel and Tourism Council (WTTC). (2020). WTTC Vision and Recommendations for Travel and Tourism Recovery Post COVID-19. Retrieved June 20, 2023, from https://wttc.org/en-gb/COVID-19/Recovery-Post-COVID-19.
   Google Scholar
• Wu, H., Ai, C., & Cheng, C. (2020). Virtual reality experiences, attachment and experiential outcomes in tourism. Tourism Review, 75(3), 481–495. https://doi.org/10.1108/TR-06-2019-0205
   Web of Science ®Google Scholar
• Yang, C., Yan, S., Wang, J., & Xue, Y. (2022). Flow experiences and virtual tourism: The role of technological acceptance and technological readiness. Sustainability, 14(9), 5361. https://doi.org/10.3390/su14095361
   Web of Science ®Google Scholar
• Yeh, C.-H., Wang, Y.-S., Li, H.-T., & Lin, S.-Y. (2017). The effect of information presentation modes on tourists’ responses in Internet marketing: The moderating role of emotions. Journal of Travel & Tourism Marketing, 34(3), 1–15. https://doi.org/10.1080/10548408.2016.1276509
   Google Scholar
• Yin, C., Zhao, W., Cherubini, F., & Pereira, P. (2021). Integrate ecosystem services into socio-economic development to enhance achievement of sustainable development goals in the post-pandemic era. Geography and Sustainability, 2(1), 68–73. https://doi.org/10.1016/j.geosus.2021.03.002
   Google Scholar
• Yu, J., Xie, C., Huang, S., & Guo, C. (2022). Configuring the value-versus-attachment combinations in determining consumer purchase intention in tourism e-commerce live streaming: A fsQCA approach. Current Issues in Tourism, 26(18), 3023–3039. https://doi.org/10.1080/13683500.2022.2107897
   Web of Science ®Google Scholar
• Zhang, B., & Zhu, Y. (2021). Comparing attitudes towards adoption of e-government between urban users and rural users: An empirical study in Chongqing municipality. China. Behaviour & Information Technology, 40(11), 1154–1168. https://doi.org/10.1080/0144929X.2020.1743361
   Web of Science ®Google Scholar
• Zhang, B., Zhu, Y., Deng, J., Zheng, W., Liu, Y., Wang, C., & Zeng, R. (2023). “I am here to assist your tourism”: Predicting continuance intention to use AI-based Chatbots for tourism. Does gender really matter? International Journal of Human–Computer Interaction, 39(9), 1887–1903. https://doi.org/10.1080/10447318.2022.2124345
   Web of Science ®Google Scholar
• Zhu, C., Fong, L. H. N., & Gan, M. (2023). Rethinking the consequences of postmodern authenticity: The case of a World Heritage in augmented reality. Current Issues in Tourism, 26(4), 617–631. https://doi.org/10.1080/13683500.2022.2033181
   Web of Science ®Google Scholar
• Zhu, Y., Janssen, M., Wang, R., & Liu, Y. (2022). It is me, chatbot: Working to address the COVID-19 outbreak-related mental health issues in China. User experience, satisfaction, and influencing factors. International Journal of Human–Computer Interaction, 38(12), 1182–1194. https://doi.org/10.1080/10447318.2021.1988236
   Web of Science ®Google Scholar
• Zhu, Y., Wang, R., Zeng, R., & Pu, C. (2023). Does gender really matter? Exploring determinants behind consumers’ intention to use contactless fitness services during the COVID-19 pandemic: A focus on health and fitness apps. Internet Research, 33(1), 280–307. https://doi.org/10.1108/INTR-07-2021-0454
   Web of Science ®Google Scholar