Customers’ metaverse service encounter perceptions: sentiment analysis and topic modeling

References

• Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hamdi, M., & Shah, Z. (2020). Top concerns of tweeters during the COVID-19 pandemic: Infoveillance study. Journal of Medical Internet Research, 22(4), e19016. https://doi.org/10.2196/19016
   PubMed Web of Science ®Google Scholar
• Aburbeian, A. M., Owda, A. Y., & Owda, M. (2022). A technology acceptance model survey of the metaverse prospects. Artificial Intelligence, 3(2), 285–302. https://doi.org/10.3390/ai3020018
   Google Scholar
• Ahuja, R., & Sharma, S. C. (2022). Transformer-based word embedding with CNN model to detect sarcasm and irony. Arabian Journal for Science & Engineering, 47(8), 9379–9392. https://doi.org/10.1007/s13369-021-06193-3
   Web of Science ®Google Scholar
• Batrinca, B., & Treleaven, P. C. (2015). Social media analytics: A survey of techniques, tools and platforms. AI & Society, 30(1), 89–116. https://doi.org/10.1007/s00146-014-0549-4
   Web of Science ®Google Scholar
• Behera, R. K., Bala, P. K., & Rana, N. P. (2023). Reaching new heights: Investigating adoption factors shaping the moon landing of metaverse tourism. Information Technology & Tourism. https://doi.org/10.1007/s40558-023-00274-9
   Web of Science ®Google Scholar
• Belk, R., Humayun, M., & Brouard, M. (2022). Money, possessions, and ownership in the metaverse: NFTs, cryptocurrencies, Web3 and wild markets. Journal of Business Research, 153, 198–205. https://doi.org/10.1016/j.jbusres.2022.08.031
   Web of Science ®Google Scholar
• Bretos, M. A., Ibáñez-Sánchez, S., & Orús, C. (2023). Applying virtual reality and augmented reality to the tourism experience: A comparative literature review. Spanish Journal of Marketing - ESIC. https://doi.org/10.1108/sjme-03-2023-0052
   Google Scholar
• Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506. https://doi.org/10.1108/JOSM-12-2018-0398
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Buhalis, D., Lin, M. S., & Leung, D. (2023). Metaverse as a driver for customer experience and value Co-creation: Implications for hospitality and tourism management and marketing. International Journal of Contemporary Hospitality Management, 35(2), 701–716. https://doi.org/10.1108/ijchm-05-2022-0631
   Web of Science ®Google Scholar
• Cao, L. (2022). Decentralized AI: Edge intelligence and smart blockchain, metaverse, Web3, and DeSci. IEEE Intelligent Systems, 37(3), 6–19. https://doi.org/10.1109/mis.2022.3181504
   Web of Science ®Google Scholar
• Chen, Z. (2023). Beyond reality: Examining the opportunities and challenges of cross-border integration between metaverse and hospitality industries. Journal of Hospitality Marketing and Management, 32(7), 1–14. https://doi.org/10.1080/19368623.2023.2222029
   Web of Science ®Google Scholar
• Cheng, X., Xue, T., Yang, B., & Ma, B. (2023). A digital transformation approach in hospitality and tourism research. International Journal of Contemporary Hospitality Management, 35(8), 2944–2967. https://doi.org/10.1108/ijchm-06-2022-0679
   Web of Science ®Google Scholar
• Cicek, M., Gursoy, D., & Lu, L. (2024). Adverse impacts of revealing the presence of “artificial intelligence (AI)” technology in product and service descriptions on purchase intentions: The mediating role of emotional trust and the moderating role of perceived risk. Journal of Hospitality Marketing and Management, 1–23. https://doi.org/10.1080/19368623.2024.2368040
   Web of Science ®Google Scholar
• Dang, N. C., Moreno-García, M. N., & De la Prieta, F. (2020). Sentiment analysis based on deep learning: A comparative study. Electronics, 9(3), 483. https://doi.org/10.3390/electronics9030483
   Web of Science ®Google Scholar
• Dang, T. D., & Nguyen, M. T. (2023). Systematic review and research agenda for the tourism and hospitality sector: Co-creation of customer value in the digital age. Future Business Journal, 9(1). https://doi.org/10.1186/s43093-023-00274-5
   Web of Science ®Google Scholar
• Dincelli, E., & Yayla, A. (2022). Immersive virtual reality in the age of the metaverse: A hybrid-narrative review based on the technology affordance perspective. Journal of Strategic Information Systems, 31(2), 101717. https://doi.org/10.1016/j.jsis.2022.101717
   Web of Science ®Google Scholar
• Dutta, D., Srivastava, Y., & Singh, E. (2023). Metaverse in the tourism sector for talent management: A technology in practice lens. Information Technology & Tourism, 25(3), 331–365. https://doi.org/10.1007/s40558-023-00258-9
   Web of Science ®Google Scholar
• 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., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D., 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, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
   Web of Science ®Google Scholar
• Erdem, A., & Barakazı, M. (2023). Innovative technology applications in hotel businesses. Tourism, Hospitality & Event Management, 17–36. https://doi.org/10.1007/978-3-031-31682-1_2
   Google Scholar
• Filep, S., Kondja, A., Wong, C. C., Weber, K., Moyle, B. D., & Skavronskaya, L. (2024). The role of technology in users’ wellbeing: Conceptualizing digital wellbeing in hospitality and future research directions. Journal of Hospitality Marketing and Management, 33(5), 583–601. https://doi.org/10.1080/19368623.2023.2290626
   Web of Science ®Google Scholar
• Flavián, C., Ibáñez-Sánchez, S., & Orús, C. (2021). Impacts of technological embodiment through virtual reality on potential guests’ emotions and engagement. Journal of Hospitality Marketing and Management, 30(1), 1–20. https://doi.org/10.1080/19368623.2020.1770146
   Web of Science ®Google Scholar
• Fu, Y., Li, C., Yu, F. R., Luan, T. H., Zhao, P., & Liu, S. (2023). A survey of blockchain and intelligent networking for the metaverse. IEEE Internet of Things Journal, 10(4), 3587–3610. https://doi.org/10.1109/jiot.2022.3222521
   Web of Science ®Google Scholar
• Global market size of the hospitality industry 2023. (2023, April 30). Statista. https://www.statista.com/statistics/1247012/global-market-size-of-the-hospitality-industry/
   Google Scholar
• Go, H., & Kang, M. (2023). Metaverse tourism for sustainable tourism development: Tourism agenda 2030. Tourism Review, 78(2), 381–394. https://doi.org/10.1108/tr-02-2022-0102
   Web of Science ®Google Scholar
• Grover, P., Kar, A. K., Dwivedi, Y. K., & Janssen, M. (2019). Polarization and acculturation in US election 2016 outcomes – can twitter analytics predict changes in voting preferences. Technological Forecasting & Social Change, 145, 438–460. https://doi.org/10.1016/J.TECHFORE.2018.09.009
   Web of Science ®Google Scholar
• Gursoy, D., Lu, L., Nunkoo, R., & Deng, D. (2023). Metaverse in services marketing: An overview and future research directions. The Service Industries Journal, 43(15–16), 1140–1172. https://doi.org/10.1080/02642069.2023.2252750
   Web of Science ®Google Scholar
• Gursoy, D., Malodia, S., & Dhir, A. (2022). The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing and Management, 31(5), 527–534. https://doi.org/10.1080/19368623.2022.2072504
   Web of Science ®Google Scholar
• Han, D. D., Bergs, Y., & Moorhouse, N. (2022). Virtual reality consumer experience escapes: Preparing for the metaverse. Virtual Reality, 26(4), 1443–1458. https://doi.org/10.1007/s10055-022-00641-7
   Web of Science ®Google Scholar
• Hotel and resort industry market size worldwide 2021. (2022, January 14). Statista. https://www.statista.com/statistics/1186201/hotel-and-resort-industry-market-size-global/
   Google Scholar
• The hotel industry enters the Metaverse. (2023, July 3). Hospitality design. https://hospitalitydesign.com/news/development-destinations/hotel-industry-nfts-metaverse/
   Google Scholar
• Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2022). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51, 57–71. https://doi.org/10.1016/j.intmar.2020.04.001
   Web of Science ®Google Scholar
• Huang, Y., Chang, L. L., Yu, C., & Chen, J. (2019). Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications. Journal of Hospitality Marketing and Management, 28(8), 957–980. https://doi.org/10.1080/19368623.2019.1580172
   Web of Science ®Google Scholar
• Huynh-The, T., Pham, Q., Pham, X., Nguyen, T. T., Han, Z., & Kim, D. (2023). Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581. https://doi.org/10.1016/j.engappai.2022.105581
   Web of Science ®Google Scholar
• Jafar, R. M., & Ahmad, W. (2023). Tourist loyalty in the metaverse: The role of immersive tourism experience and cognitive perceptions. Tourism Review, 79(2), 321–336. https://doi.org/10.1108/tr-11-2022-0552
   Web of Science ®Google Scholar
• Jani, D., & Han, H. (2011). Investigating the key factors affecting behavioral intentions. International Journal of Contemporary Hospitality Management, 23(7), 1000–1018. https://doi.org/10.1108/09596111111167579
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Jyothsna, R., Rohini, V., & Paulose, J. (2022). Sentiment analysis on COVID-19 related social distancing across the globe using twitter data. ECS Transactions, 107(1), 3995–4001. https://doi.org/10.1149/10701.3995ecst
   Google Scholar
• Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425. https://doi.org/10.1016/j.psep.2018.05.009
   Web of Science ®Google Scholar
• Karagoz Zeren, S. (2023). The tourism sector in Metaverse: Virtual hotel and applications. Studies in Big Data, 373–381. https://doi.org/10.1007/978-981-99-4641-9_25
   Google Scholar
• Kim, J., & Hardin, A. (2010). The impact of virtual worlds on word-of-mouth: Improving social networking and Servicescape in the hospitality industry. Journal of Hospitality Marketing and Management, 19(7), 735–753. https://doi.org/10.1080/19368623.2010.508005
   Google Scholar
• Kong, H., Yin, Z., Chon, K., Yuan, Y., & Yu, J. (2024). How does artificial intelligence (AI) enhance hospitality employee innovation? The roles of exploration, AI trust, and proactive personality. Journal of Hospitality Marketing and Management, 33(3), 261–287. https://doi.org/10.1080/19368623.2023.2258116
   Web of Science ®Google Scholar
• Koo, C., Kwon, J., Chung, N., & Kim, J. (2023). Metaverse tourism: Conceptual framework and research propositions. Current Issues in Tourism, 26(20), 3268–3274. https://doi.org/10.1080/13683500.2022.2122781
   Web of Science ®Google Scholar
• Koohang, A., Nord, J. H., Ooi, K., Tan, G. W., Al-Emran, M., Aw, E. C., Baabdullah, A. M., Buhalis, D., Cham, T., Dennis, C., Dutot, V., Dwivedi, Y. K., Hughes, L., Mogaji, E., Pandey, N., Phau, I., Raman, R., Sharma, A., Sigala, M., & Wong, L. (2023). Shaping the metaverse into reality: A holistic multidisciplinary understanding of opportunities, challenges, and avenues for future investigation. Journal of Computer Information Systems, 63(3), 735–765. https://doi.org/10.1080/08874417.2023.2165197
   Web of Science ®Google Scholar
• Kumar, A., Kumar, D. V., Khetarpal, M., & Megha, R. U. (2024). Customer experience in the magic world of metaverse: Conceptual framework of customer adoption of metaverse. Immersive Technology and Experiences, 99–126. https://doi.org/10.1007/978-981-99-8834-1_7
   Google Scholar
• Le, D., & Phi, G. (2021). Strategic responses of the hotel sector to COVID-19: Toward a refined pandemic crisis management framework. International Journal of Hospitality Management, 94, 102808. https://doi.org/10.1016/j.ijhm.2020.102808
   PubMed Web of Science ®Google Scholar
• Lee, N., & Jo, M. (2023). Exploring problem-based learning curricula in the metaverse: The hospitality students’ perspective. Journal of Hospitality, Leisure, Sport & Tourism Education, 32, 100427. https://doi.org/10.1016/j.jhlste.2023.100427
   Web of Science ®Google Scholar
• Lin, K. J., Ye, H., & Law, R. (2023). Understanding the development of blockchain-empowered metaverse tourism: An institutional perspective. Information Technology & Tourism, 25(4), 585–603. https://doi.org/10.1007/s40558-023-00262-z
   Web of Science ®Google Scholar
• Liu, W., Zhang, S., Zhang, T., Gu, Q., Han, W., & Zhu, Y. (2024). The AI empathy effect: A mechanism of emotional contagion. Journal of Hospitality Marketing and Management, 33(6), 703–734. https://doi.org/10.1080/19368623.2024.2315954
   Web of Science ®Google Scholar
• Loureiro, S. M. C., Guerreiro, J., & Ali, F. (2020). 20 years of research on virtual reality and augmented reality in tourism context: A text-mining approach. Tourism Management, 77, 104028. https://doi.org/10.1016/J.TOURMAN.2019.104028
   Web of Science ®Google Scholar
• Majumdar, R. (2022). Crisis management and strategies for the future: Evidences from the pandemic hit on Indian hotel sector. International Journal of Indian Culture and Business Management, 26(4), 521. https://doi.org/10.1504/ijicbm.2022.125212
   Web of Science ®Google Scholar
• Medhat, W., Hassan, A., & Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal, 5(4), 1093–1113. https://doi.org/10.1016/J.ASEJ.2014.04.011
   Google Scholar
• Metaverse and hospitality: Everything you need to know. (n.d.). Cvent | event platform for In-person, virtual, and hybrid events & webinars. https://www.cvent.com/en/blog/hospitality/metaverse-hospitality
   Google Scholar
• Metaverse - Worldwide | Statista market forecast. (n.d.). Statista. https://www.statista.com/outlook/amo/metaverse/worldwide
   Google Scholar
• Mirza-Babaei, P., Robinson, R., Mandryk, R., Pirker, J., Kang, C., & Fletcher, A. (2022). Games and the metaverse. CHI PLAY 2022 - Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play (pp. 318–319). https://doi.org/10.1145/3505270.3558355
   Google Scholar
• Mohamed Ridhwan, K., & Hargreaves, C. A. (2021). Leveraging twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore. International Journal of Information Management Data Insights, 1(2), 100021. https://doi.org/10.1016/j.jjimei.2021.100021
   Google Scholar
• Monaco, S., & Sacchi, G. (2023). Travelling the metaverse: Potential benefits and main challenges for tourism sectors and research applications. Sustainability, 15(4), 3348. https://doi.org/10.3390/su15043348
   Web of Science ®Google Scholar
• Morales, J., Cornide Reyes, H., Rossel, P. O., Sáez, P., & Silva-Aravena, F. (2023). Virtual reality, augmented reality and metaverse: Customer experience approach and user experience evaluation methods. Literature review. Social Computing and Social Media, 554–566. https://doi.org/10.1007/978-3-031-35915-6_40
   Google Scholar
• Moreno, A., & Redondo, T. (2016). Text analytics: The convergence of big data and artificial intelligence. International Journal of Interactive Multimedia and Artificial Intelligence, 3(6), 57. https://doi.org/10.9781/ijimai.2016.369
   Web of Science ®Google Scholar
• Mozumder, M. A., Sheeraz, M. M., Athar, A., Aich, S., & Kim, H. (2022). Overview: Technology roadmap of the future trend of metaverse based on IoT, blockchain, AI technique, and medical domain metaverse activity. 2022 24th International Conference on Advanced Communication Technology (ICACT). https://doi.org/10.23919/icact53585.2022.9728808
   Google Scholar
• Naseem, U., Razzak, I., Musial, K., & Imran, M. (2020). Transformer based deep intelligent contextual embedding for twitter sentiment analysis. Future Generation Computer Systems, 113, 58–69. https://doi.org/10.1016/j.future.2020.06.050
   Web of Science ®Google Scholar
• Ntounis, N., Parker, C., Skinner, H., Steadman, C., & Warnaby, G. (2022). Tourism and hospitality industry resilience during the COVID-19 pandemic: Evidence from England. Current Issues in Tourism, 25(1), 46–59. https://doi.org/10.1080/13683500.2021.1883556
   Web of Science ®Google Scholar
• Number of worldwide social network users 2027. (2022). Statista. (2022, June 15). https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/
   Google Scholar
• Ordenes, F. V., Ludwig, S., De Ruyter, K., Grewal, D., Wetzels, M., Johar, G., & Kopalle, P. (2017). Unveiling what is written in the stars: Analyzing explicit, implicit, and discourse patterns of sentiment in social media. The Journal of Consumer Research, 43(6), 875–894. https://doi.org/10.1093/JCR/UCW070
   Web of Science ®Google Scholar
• Orús, C., Ibáñez-Sánchez, S., & Flavián, C. (2021). Enhancing the customer experience with virtual and augmented reality: The impact of content and device type. International Journal of Hospitality Management, 98, 103019. https://doi.org/10.1016/j.ijhm.2021.103019
   Web of Science ®Google Scholar
• Pandarachalil, R., Sendhilkumar, S., & Mahalakshmi, G. S. (2015). Twitter sentiment analysis for large-scale data: An unsupervised approach. Cognitive Computation, 7(2), 254–262. https://doi.org/10.1007/s12559-014-9310-z
   Web of Science ®Google Scholar
• Park, J., & Min, H. (2020). Turnover intention in the hospitality industry: A meta-analysis. International Journal of Hospitality Management, 90, 102599. https://doi.org/10.1016/j.ijhm.2020.102599
   Web of Science ®Google Scholar
• Pestek, A., & Sarvan, M. (2020). Virtual reality and modern tourism. Journal of Tourism Futures, 7(2), 245–250. https://doi.org/10.1108/JTF-01-2020-0004
   Web of Science ®Google Scholar
• Qiu, R. T., Park, J., Hao, F., & Chon, K. (2024). Hotel services in the digital age: Heterogeneity in guests’ contactless technology acceptance. Journal of Hospitality Marketing and Management, 33(1), 33–56. https://doi.org/10.1080/19368623.2023.2239219
   Web of Science ®Google Scholar
• Rainoldi, M., Driescher, V., Lisnevska, A., Zvereva, D., Stavinska, A., Relota, J., & Egger, R. (2018). Virtual reality: An innovative tool in destinations’ marketing. The Gaze: Journal of Tourism and Hospitality, 9, 53–68. https://doi.org/10.3126/gaze.v9i0.19721
   Google Scholar
• Rajaguru, R. (2024). Effects of contemporary technologies, such as blockchain and artificial intelligence (AI) in enhancing consumers’ trustworthiness of online reviews. Journal of Hospitality Marketing and Management, 33(2), 251–259. https://doi.org/10.1080/19368623.2023.2258522
   Web of Science ®Google Scholar
• Rane, N., Choudhary, S., & Rane, J. (2023). Metaverse marketing strategies: Enhancing customer experience and analysing consumer behaviour through leading-edge metaverse technologies, platforms, and models. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4624199
   Google Scholar
• Rauschnabel, P. A., Babin, B. J., Tom Dieck, M. C., Krey, N., & Jung, T. (2022). What is augmented reality marketing? Its definition, complexity, and future. Journal of Business Research, 142, 1140–1150. https://doi.org/10.1016/J.JBUSRES.2021.12.084
   Web of Science ®Google Scholar
• Shangipour Ataei, T., Javdan, S., & Minaei-Bidgoli, B. (2020). Applying transformers and aspect-based sentiment analysis approaches on sarcasm detection. Proceedings of the Second Workshop on Figurative Language Processing. https://doi.org/10.18653/v1/2020.figlang-1.9
   Google Scholar
• Srivastava, P. R., Eachempati, P., Panigrahi, R., Behl, A., & Pereira, V. (2022). RETRACTED ARTICLE: Analyzing online consumer purchase psychology through hybrid machine learning. Annals of Operations Research, 337(S1), 7–8. https://doi.org/10.1007/s10479-022-05023-5
   Google Scholar
• Toraman, Y. (2022). User acceptance of metaverse: Insights from technology acceptance model (TAM) and planned behavior theory (PBT). EMAJ: Emerging Markets Journal, 12(1), 67–75. https://doi.org/10.5195/emaj.2022.258
   Google Scholar
• Wong, L., Tan, G. W., Ooi, K., & Dwivedi, Y. K. (2023). Metaverse in hospitality and tourism: A critical reflection. International Journal of Contemporary Hospitality Management, 36(7), 2273–2289. https://doi.org/10.1108/ijchm-05-2023-0586
   Web of Science ®Google Scholar
• Wongkar, M., & Angdresey, A. (2019). Sentiment analysis using naive Bayes algorithm of the data crawler: Twitter. 2019 4th International Conference on Informatics and Computing (ICIC). https://doi.org/10.1109/icic47613.2019.8985884
   Google Scholar
• Xi, N., Chen, J., Gama, F., Riar, M., & Hamari, J. (2022). The challenges of entering the metaverse: An experiment on the effect of extended reality on workload. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10244-x
   PubMed Web of Science ®Google Scholar
• Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. https://doi.org/10.1016/J.TOURMAN.2016.10.001
   Web of Science ®Google Scholar
• X/Twitter: Number of users worldwide. (2024). Statista. (2022, December 13). https://www.statista.com/statistics/303681/twitter-users-worldwide/
   Google Scholar
• Yang, Z., Gao, Y., & Fu, X. (2021). A decision-making algorithm combining the aspect-based sentiment analysis and intuitionistic fuzzy-VIKOR for online hotel reservation. Annals of Operations Research, 326(S1), 49–49. https://doi.org/10.1007/s10479-021-04339-y
   Google Scholar
• Zaman, U., Koo, I., Abbasi, S., Raza, S. H., & Qureshi, M. G. (2022). Meet your digital twin in space? Profiling international expat’s readiness for metaverse space travel, tech-savviness, COVID-19 travel anxiety, and travel fear of missing out. Sustainability, 14(11), 6441. https://doi.org/10.3390/su14116441
   Web of Science ®Google Scholar
• Zhang, L., Wang, S., & Liu, B. (2018). Deep learning for sentiment analysis: A survey. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 8(4), e1253. https://doi.org/10.1002/WIDM.1253
   Web of Science ®Google Scholar
• Zhong, L., Xu, Z., Morrison, A. M., Li, Y., & Zhu, M. (2023). Metaverse customer journeys in tourism: Building viable virtual worlds. Tourism Review. https://doi.org/10.1108/tr-07-2023-0492
   Web of Science ®Google Scholar