Shaping Virtual Retail: Identifying Key Influences in Metaverse Shopping with Fuzzy DEMATEL

Year 2025, Volume: 5 Issue: 1, 51 - 63, 30.06.2025

Lekhika Sharma , Neeraj Kaushık

https://doi.org/10.57019/jmv.1546324

Cited By: 1

Abstract

The Metaverse is significantly transforming e-commerce by providing immersive and interactive virtual shopping environments. This study explores the qualitative aspects and user interactions that shape customer experiences on Metaverse platforms. The research uses the Fuzzy DEMATEL (FDEMATEL) technique to identify and prioritize 11 key factors influencing digital shopping experiences, derived from literature and expert opinions. The FDEMATEL approach effectively examines causal relationships among these factors, reducing the bias associated with imprecise human judgments. The study reveals that flow, immersion, and ease of use are prominent factors, while informativeness, media richness, and risk are critical cause factors for successful retail platforms. These findings offer valuable insights for managers and platform developers to enhance Metaverse shopping experiences. The study uniquely identifies and analyzes the causal relationships of critical success factors, providing a comprehensive understanding that can drive the success of Metaverse retail environments.

Keywords

Metaverse Shopping , MCDM , Fuzzy DEMATEL , Retail platform

References

• Alsamhi, M. H., Hawbani, A., Kumar, S., & Alsamhi, S. H. (2024). Multisensory Metaverse-6G: A New Paradigm of Commerce and Education. IEEE Access. 12, 75657-75677 https://doi.org/10.1109/ACCESS.2024.3392838
• Hajian, A., Daneshgar, S., Sadeghi R., K., Ojha, D., & Katiyar, G. (2024). From theory to practice: Empirical perspectives on the metaverse’s potential. Technological Forecasting and Social Change, 201 (April 2024), 123224. https://doi.org/10.1016/j.techfore.2024.123224
• Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66. https://doi.org/10.1016/j.ijinfomgt.2022.102542
• Park, J., & Kim, N. (2024). Examining self-congruence between user and avatar in purchasing behavior from the metaverse to the real world. Journal of Global Fashion Marketing, 15(1), 23–38. https://doi.org/10.1080/20932685.2023.2180768
• Payal, R., Sharma, N., & Dwivedi, Y. K. (2024). Unlocking the impact of brand engagement in the metaverse on Real-World purchase intentions: Analyzing Pre-Adoption behavior in a futuristic technology platform. Electronic Commerce Research and Applications, 65, 101381. https://doi.org/10.1016/j.elerap.2024.101381
• Bruni, R., Colamatteo, A., & Mladenović, D. (2023). How the metaverse influences marketing and competitive advantage of retailers: predictions and key marketing research priorities. Electronic Commerce Research, 24(2), 965–982. https://doi.org/10.1007/s10660-023-09779-1
• Yoon, S., & Nam, Y. (2024). Metaverse engagement and Korea travel intentions: Understanding affordances, presence, and place attachment among Brazilian ZEPETO users. Journal of Destination Marketing & Management, 31, 100865. https://doi.org/10.1016/j.jdmm.2024.100865
• Yoo, K., Welden, R., Hewett, K., & Haenlein, M. (2023). The merchants of meta: A research agenda to understand the future of retailing in the metaverse. Journal of Retailing, 99(2), 173–192. https://doi.org/10.1016/j.jretai.2023.02.002
• Pillai, R., Sivathanu, B., Rana, N. P., Preet, R., & Mishra, A. (2023). Factors influencing customers’ apparel shopping intention in metaverse. Journal of Computer Information Systems, 1–16. https://doi.org/10.1080/08874417.2023.2280842
• GlobalData. (2023). Metaverse in Retail and Apparel – Thematic Intelligence.
• Statista. (2023). Metaverse eCommerce - Worldwide. https://www.statista.com/outlook/amo/metaverse/metaverse-ecommerce/worldwide
• Jin, D. (2024). Humanizing Metaverse: Psychological involvement and masstige value in retail versus tourism platforms. International Journal of Consumer Studies, 48(2), 1-20. https://doi.org/10.1111/ijcs.13025
• Mancuso, I., Messeni Petruzzelli, A., & Panniello, U. (2023). Digital business model innovation in metaverse: How to approach virtual economy opportunities. Information Processing and Management, 60(5), 1-28. https://doi.org/10.1016/j.ipm.2023.103457
• SanMiguel, P., Sádaba, T., & Sayeed, N. (2024). Fashion brands in the metaverse: Achievements from a marketing perspective. Journal of Global Fashion Marketing, 15(3), 320–340. https://doi.org/10.1080/20932685.2024.2331518
• Wongkitrungrueng, A., & Suprawan, L. (2023). Metaverse Meets Branding: Examining consumer responses to immersive brand experiences. International Journal of Human-Computer Interaction, 40(11), 2905–2924. https://doi.org/10.1080/10447318.2023.2175162
• Adhini, N. V., & Prasad, C. V. V. S. N. V. (2024). Perceptions and drivers of the metaverse adoption: A mixed-methods study. International Journal of Consumer Studies, 48(4), 1-34. https://doi.org/10.1111/ijcs.13069
• Arya, V., Sambyal, R., Sharma, A., & Dwivedi, Y. K. (2023). Brands are calling your AVATAR in Metaverse–A study to explore XR‐based gamification marketing activities & consumer‐based brand equity in virtual world. Journal of Consumer Behaviour, 23(2), 556–585. https://doi.org/10.1002/cb.2214
• Mansoor, S., Rahman, S. M., & Bowden, J. L. (2024). Purchase spillovers from the metaverse to the real world: The roles of social presence, trialability, and customer experience. Journal of Consumer Behaviour, 23(5), 2501–2552. https://doi.org/10.1002/cb.2353
• Roblox (2025). Roblox Web Site. https://www.roblox.com
• Zepeto (2025). Zepeto Web Site. https://web.zepeto.me/en
• Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32–39. https://doi.org/10.1016/j.jclepro.2011.06.010
• Lu, Y. H., Yeh, C. C., & Liau, T. W. (2023). Exploring the key factors affecting the usage intention for cross-border e-commerce platforms based on DEMATEL and EDAS method. Electronic Commerce Research, 23(4), 2517–2539. https://doi.org/10.1007/s10660-022-09548-6
• Mishra, R. (2021). An analysis of factors influencing omnichannel retailing adoption using ISM-DEMATEL approach: an Indian perspective. International Journal of Retail and Distribution Management, 49(4), 550–576. https://doi.org/10.1108/IJRDM-03-2020-0108
• Parmar, P. S., & Desai, T. N. (2020). Evaluating Sustainable Lean Six Sigma enablers using fuzzy DEMATEL: A case of an Indian manufacturing organization. Journal of Cleaner Production, 265. https://doi.org/10.1016/j.jclepro.2020.121802
• Singh, C., Dash, M. K., Sahu, R., & Singh, G. (2023). Evaluating critical success factors for acceptance of digital assistants for online shopping using Grey–DEMATEL. International Journal of Human-Computer Interaction, 1–15. https://doi.org/10.1080/10447318.2023.2286124
• Noor, M. F., Kumar, A., Tripathi, S., & Gupta, V. (2024). Challenges in Adopting Industry 4.0 for Indian Automobile Industries: A Key Experts’ Perspective. Journal Europeen Des Systemes Automatises, 57(1), 239–253. https://doi.org/10.18280/jesa.570123
• Kannan, J., Jayakumar, V., Pethaperumal, M., & Kather Mohideen, A. B. (2024). An intensified linear diophantine fuzzy combined DEMATEL framework for the assessment of climate crisis. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-023-02618-7
• Emovon, I., Norman, R. A., & Murphy, A. J. (2016). An integration of multi-criteria decision making techniques with a delay time model for determination of inspection intervals for marine machinery systems. Applied Ocean Research, 59, 65–82. https://doi.org/10.1016/j.apor.2016.05.008
• Gupta, R., Rathore, B., Biswas, B., Jaiswal, M., & Singh, R. K. (2024). Are we ready for metaverse adoption in the service industry? Theoretically exploring the barriers to successful adoption. Journal of Retailing and Consumer Services, 79. https://doi.org/10.1016/j.jretconser.2024.103882
• Kou, G., Yüksel, S., & Dinçer, H. (2023). A facial expression and expert recommendation fuzzy decision-making approach for sustainable business investments within the metaverse world. Applied Soft Computing, 148, 110849. https://doi.org/10.1016/j.asoc.2023.110849
• Ahn, S., Jin, B. E., & Seo, H. (2024). Why do people interact and buy in the Metaverse? Self-Expansion perspectives and the impact of hedonic adaptation. Journal of Business Research, 175, 114557. https://doi.org/10.1016/j.jbusres.2024.114557
• Hadi, R., Melumad, S., & Park, E. S. (2024). The Metaverse: A new digital frontier for consumer behavior. Journal of Consumer Psychology, 34(1), 142–166. https://doi.org/10.1002/jcpy.1356
• Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., Barta, S., Belk, R., Buhalis, D., Dutot, V., Felix, R., Filieri, R., Flavián, C., Gustafsson, A., Hinsch, C., Hollensen, S., Jain, V., Kim, J., Krishen, A. S., … Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology and Marketing, 40(4), 750–776. https://doi.org/10.1002/mar.21767
• Buhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, 104724. https://doi.org/10.1016/j.tourman.2023.104724
• Hollensen, S., Kotler, P., & Opresnik, M. O. (2023). Metaverse – the new marketing universe. Journal of Business Strategy, 44(3), 119–125. https://doi.org/10.1108/JBS-01-2022-0014
• Bushell, C. (2022). The impact of Metaverse on branding and marketing - A study of how individuals and celebrities use metaverse as a brand extension, and the implications for marketing. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4144688
• Davis, F. D. (1989). Technology Acceptance Model: TAM. In M. N. Al-Suqri, & A. S. Al-Aufi (Eds.), Information Seeking Behavior and Technology Adoption (pp. 205-219). IGI Global.
• Classe, T. M. de, Castro, R. M. de, & Sousa, H. P. D. S. (2023). Evaluating Students’ Technology Acceptance of Use of Metaverse as an Educational Information System for Hybrid Education. In Proceedings of the XIX Brazilian Symposium on Information Systems (pp. 197-205). https://doi.org/10.1145/3592813.3592906
• Teng, Z., Cai, Y., Gao, Y., Zhang, X., & Li, X. (2022). Factors affecting learners’ adoption of an educational metaverse platform: an empirical study based on an extended UTAUT model. Mobile Information Systems, 2022, 1–15. https://doi.org/10.1155/2022/5479215
• Almarzouqi, A., Aburayya, A., & Salloum, S. A. (2022). Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach. IEEE Access, 10, 43421–43434. https://doi.org/10.1109/ACCESS.2022.3169285
• Van, H.-T., Si, T. N., Quynh, A. V. T., Kieu, T. N. T., & Vo, T.-T.-T. (2022). A Conceptual Framework for Determining Metaverse Adoption in Vietnam IT Enterprises. Proceedings - 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2022, 14–17. https://doi.org/10.1109/BCD54882.2022.9900871
• Alshurafat, H., Arabiat, O., & Shehadeh, M. (2024). The intention to adopt metaverse in Islamic banks: an integrated theoretical framework of TAM and religiosity intention model. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-10-2023-0310
• Xi, N., Chen, J., Gama, F., Korkeila, H., & Hamari, J. (2024). Acceptance of the metaverse: a laboratory experiment on augmented and virtual reality shopping. Internet Research, 34(7), 82–117. https://doi.org/10.1108/INTR-05-2022-0334
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
• Hassouneh, D., & Brengman, M. (2015). Metaverse retailing: Are SVW users ready to buy real products from virtual world stores? Proceedings of the International Conferences on E-Health 2015, EH 2015, e-Commerce and Digital Marketing 2015, EC 2015 and Information Systems Post-Implementation and Change Management 2015, ISPCM 2015 - Part of the Multi Conference on Computer Science An, 104–110.
• Patil, K., Bharathi S, V., & Pramod, D. (2022). Can Metaverse Retail lead to purchase intentions among the youth? A Stimulus-Organism-Response theory perspective. 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2022, 314–320. https://doi.org/10.1109/ICETSIS55481.2022.9888929
• Li, C.-Y. (2013). Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Computers in Human Behavior, 29(1), 264–275. https://doi.org/10.1016/j.chb.2012.09.003
• Shukla, A., Mishra, A., Rana, N. P., & Banerjee, S. (2024). The future of metaverse adoption: A behavioral reasoning perspective with a text-mining approach. Journal of Consumer Behaviour, 23(5), 2217–2233. https://doi.org/10.1002/cb.2336
• Aburbeian, A. M., Owda, A. Y., & Owda, M. (2022). A Technology Acceptance Model Survey of the Metaverse Prospects. AI, 3(2), 285–302. https://doi.org/10.3390/ai3020018
• Lee, U. K., & Kim, H. (2022). UTAUT in Metaverse: An “Ifland” Case. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 613–635. https://doi.org/10.3390/jtaer17020032
• Riar, M., Xi, N., Korbel, J. J., Zarnekow, R., & Hamari, J. (2023). Using augmented reality for shopping: a framework for AR induced consumer behavior, literature review and future agenda. Internet Research, 33(1), 242–279. https://doi.org/10.1108/INTR-08-2021-0611
• Habil, S. G. M., El-Deeb, S., & El-Bassiouny, N. (2024). The metaverse era: leveraging augmented reality in the creation of novel customer experience. Management and Sustainability:, 3(1), 1–15. https://doi.org/10.1108/MSAR-10-2022-0051
• Hwang, I., Shim, H., & Lee, W. J. (2022). Do an Organization’s Digital Transformation and Employees’ Digital Competence Catalyze the Use of Telepresence? Sustainability (Switzerland), 14(14). https://doi.org/10.3390/su14148604
• Patil, K. P., & Pramod, D. (2023). ‘Real Worlds Illusion!’ Consumer Response to Metaverse Technology Applying Flow Theory. 2023 7th International Conference On Computing, Communication, Control And Automation, ICCUBEA 2023. https://doi.org/10.1109/ICCUBEA58933.2023.10392210
• Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management science, 32(5), 554-571. https://www.jstor.org/stable/2631846?seq=1&cid=pdf-
• Sun, H., & Guo, R. (2024). The Effect of Metaverse Concert Characteristics on User Re-Participation Intention: A Combination of the ETAM and the SPICE Model. International Journal of Human-Computer Interaction, 1–14. https://doi.org/10.1080/10447318.2024.2331859
• Lee, U.-K. (2022). Tourism Using Virtual Reality: Media Richness and Information System Successes. Sustainability (Switzerland), 14(7). https://doi.org/10.3390/su14073975
• Zhang, L., Anjum, M. A., & Wang, Y. (2023). The Impact of Trust-Building Mechanisms on Purchase Intention towards Metaverse Shopping: The Moderating Role of Age. International Journal of Human-Computer Interaction, 40(12), 3185–3203. https://doi.org/10.1080/10447318.2023.2184594
• Efendioğlu, İ. H. (2023). The Effect Of Information About Metaverse On The Consumer’s Purchase Intention. Journal of Global Business and Technology, 19(1), 63–77.
• Barta, S., Gurrea, R., & Flavián, C. (2023). How Augmented Reality Increases Engagement Through Its Impact on Risk and the Decision Process. Cyberpsychology, Behavior, and Social Networking, 26(3), 177–187. https://doi.org/10.1089/cyber.2022.0087
• Murtas, G., Pedeliento, G., & Mangiò, F. (2024). Luxury fashion brands at the gates of the Web 3.0: An analysis of early experimentations with NFTs and the metaverse. Journal of Global Fashion Marketing, 15(1), 90–114. https://doi.org/10.1080/20932685.2023.2249476
• Soni, S., & Sharma, B. K. (2023). Mitigating the risk induced by Online shopping by using Metaverse. 2023 International Seminar on Application for Technology of Information and Communication: Smart Technology Based on Industry 4.0: A New Way of Recovery from Global Pandemic and Global Economic Crisis, ISemantic 2023, 129–134. https://doi.org/10.1109/iSemantic59612.2023.10295282
• Kumar, A., & Shankar, A. (2024a). The bold decision to go “all in”: Understanding the reasons behind consumers’ willingness to migrate to the metaverse. Psychology and Marketing, 41(8), 1769–1791. https://doi.org/10.1002/mar.22009
• Aliman, D. N., Hennig-Thurau, T., & Henke, A. (2024). Navigating the enterprise metaverse: How virtual reality affects business agility and meeting outcomes. Business Horizons. https://doi.org/10.1016/J.BUSHOR.2024.05.007
• Kumar, A., & Shankar, A. (2024b). Will metaverse revolutionize retail banking? Understanding user acceptance towards metaverse banking. International Journal of Retail and Distribution Management, 52(6), 629–646. https://doi.org/10.1108/IJRDM-06-2023-0396
• Caboni, F., & Pizzichini, L. (2023). Smart Extended Reality in the Metaverse-Tailing: The Rise of New Retail Landscape. In Springer Series on Cultural Computing (pp. 307–321). https://doi.org/10.1007/978-3-031-27166-3_17
• Chen, J., Xi, N., Pohjonen, V., & Hamari, J. (2023). Paying attention in metaverse: an experiment on spatial attention allocation in extended reality shopping. Information Technology and People, 36(8), 255–283. https://doi.org/10.1108/ITP-09-2021-0674
• Csikszentmihalyi, M. (2014). Flow and the foundations of positive psychology: The collected works of Mihaly Csikszentmihalyi. In Flow and the Foundations of Positive Psychology: The Collected Works of Mihaly Csikszentmihalyi. https://doi.org/10.1007/978-94-017-9088-8
• Park, Y., Ko, E., & Do, B. (2023). The perceived value of digital fashion product and purchase intention: the mediating role of the flow experience in metaverse platforms. Asia Pacific Journal of Marketing and Logistics, 35(11), 2645–2665. https://doi.org/10.1108/APJML-11-2022-0945
• Lee, S.-E., Domina, T., & MacGillivray, M. (2011). Exploring consumers’ flow experiences in virtual shopping: An exploratory study. International Journal of Electronic Marketing and Retailing, 4(2–3), 165–182. https://doi.org/10.1504/IJEMR.2011.043046
• Sirgy, M. J. (1985). Using self-congruity and ideal congruity to predict purchase motivation. Journal of Business Research, 13(3), 195–206. https://doi.org/10.1016/0148-2963(85)90026-8
• Balakrishnan, J., Das, R., Alalwan, A. A., Raman, R., & Dwivedi, Y. K. (2024). Informative and peripheral metaverse: Which leads to experience? An investigation from the viewpoint of self-concept. Computers in Human Behavior, 156, 108223. https://doi.org/10.1016/J.CHB.2024.108223
• Kim, J., & Bae, J. (2023). Influences of persona self on luxury brand attachment in the Metaverse context. Asia Pacific Journal of Marketing and Logistics, 36(9), 2068–2081. https://doi.org/10.1108/APJML-05-2022-0390
• Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008). Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly: Management Information Systems, 32(3), 575–600. https://doi.org/10.2307/25148857
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
• Wang, G., & Shin, C. (2022). Influencing Factors of Usage Intention of Metaverse Education Application Platform: Empirical Evidence Based on PPM and TAM Models. Sustainability (Switzerland), 14(24). https://doi.org/10.3390/su142417037
• Al-kfairy, M., Alomari, A., Al-Bashayreh, M., Alfandi, O., & Tubishat, M. (2024). Unveiling the Metaverse: A survey of user perceptions and the impact of usability, social influence and interoperability. Heliyon, 10(10). https://doi.org/10.1016/j.heliyon.2024.e31413
• Harrisson-Boudreau, J.-P., Bellemare, J., Bacher, N., & Bartosiak, M. (2023). Adoption Potentials of Metaverse Omnichannel Retailing and Its Impact on Mass Customization Approaches. In Lecture Notes in Mechanical Engineering(pp. 110–119). https://doi.org/10.1007/978-3-031-34821-1_13
• Chen, C., & Yao, M. Z. (2022). Strategic use of immersive media and narrative message in virtual marketing: Understanding the roles of telepresence and transportation. Psychology and Marketing, 39(3), 524–542. https://doi.org/10.1002/mar.21630
• Liu, Z., Gong, S., Tan, Z., & Demian, P. (2023). Immersive Technologies-Driven Building Information Modeling (BIM) in the Context of Metaverse. Buildings, 13(6), 1559. https://doi.org/10.3390/buildings13061559
• Cha, S. S., Kim, C. Y., & Tang, Y. (2024). Gamification in the Metaverse: Affordance, perceived value, flow state, and engagement. International Journal of Tourism Research, 26(2). https://doi.org/10.1002/jtr.2635
• Huang, L., Solangi, Y. A., Magazzino, C., & Solangi, S. A. (2024). Evaluating the efficiency of green innovation and marketing strategies for long-term sustainability in the context of Environmental labeling. Journal of Cleaner Production, 450, 141870. https://doi.org/10.1016/j.jclepro.2024.141870
• Rad, M. a. V., Fard, H. F., Khazanedari, K., Toopshekan, A., Ourang, S., Khanali, M., Gorjian, S., Fereidooni, L., & Kasaeian, A. (2024). A global framework for maximizing sustainable development indexes in agri-photovoltaic-based renewable systems: Integrating DEMATEL, ANP, and MCDM methods. Applied Energy, 360, 122715. https://doi.org/10.1016/j.apenergy.2024.122715
• Scott, S. A., Himang, C., Ancheta, R., Maturan, F., Aro, J. L., Evangelista, S. S., Atibing, N. M., & Ocampo, L. (2024). Three-way decision TOPSIS for food business location under a benefit-opportunity-cost-risk platform. Journal of Management Analytics, 11(3), 518–553. https://doi.org/10.1080/23270012.2024.2348480
• Mkedder, N., & Das, M. (2023). Metaverse integration challenges: An in-depth ISM and MICMAC analysis. Journal of Retailing and Consumer Services, 77, 103684. https://doi.org/10.1016/j.jretconser.2023.103684
• Sim, J., Saunders, B., Waterfield, J., & Kingstone, T. (2018). Can sample size in qualitative research be determined a priori? International Journal of Social Research Methodology, 21(5), 619–634. https://doi.org/10.1080/13645579.2018.1454643
• Esfandiar, K., Seryasat, M. R., & Kozak, M. (2023). To shop or not to shop while traveling? Exploring the influence of shopping mall attributes on overall tourist shopping satisfaction. Tourism Recreation Research, 49(6), 1411–1426. https://doi.org/10.1080/02508281.2023.2186088
• Koca, G., Egilmez, O., & Akcakaya, O. (2021). Evaluation of the smart city: Applying the dematel technique. Telematics and Informatics, 62, 101625. https://doi.org/10.1016/j.tele.2021.101625
• Cheung, M. L., Leung, W. K. S., Chang, L. M. K., Aw, E. C. X., & Wong, R. Y. M. (2024). Immersive time in the metaverse and visits to the physical world: why not both? A holistic customer engagement framework. International Journal of Contemporary Hospitality Management, 36(11), 3674–3703. https://doi.org/10.1108/IJCHM-07-2023-0999
• Shin, H., & Kang, J. (2024). How does the metaverse travel experience influence virtual and actual travel behaviors? Focusing on the role of telepresence and avatar identification. Journal of Hospitality and Tourism Management, 58, 174–183. https://doi.org/10.1016/J.JHTM.2023.12.009
• Lowry, P. B., Gaskin, J. E., Twyman, N. W., Hammer, B., & Roberts, T. L. (2013). Taking ‘fun and games’ seriously: Proposing the hedonic-motivation system adoption model (HMSAM). Journal of the Association for Information Systems, 14(11), 617–671. https://doi.org/10.17705/1jais.00347
• Hackbarth, G., Grover, V., & Yi, M. Y. (2003). Computer playfulness and anxiety: Positive and negative mediators of the system experience effect on perceived ease of use. Information and Management, 40(3), 221–232. https://doi.org/10.1016/S0378-7206(02)00006-X