Shaping the future of metaverse research

Journal article


Enis Karaarslan, Ömer Aydın, Senem Yazıcı Yılma, Hasan Tınmaz, Süleyman Eken, Nida Gökçe Narin, Umit Cali, Kürşad Özkaynar, Önder Gürcan, Mina Fanea-ıvanovici, Osman Gazi Güçlütürk, Qi, Mandy, Huseyin Kusetogullari, Moharram Challenger and Nebojsa Bacanin 2025. Shaping the future of metaverse research. Journal of Metaverse. 5 (2), pp. 73-91. https://doi.org/10.57019/jmv.1664054
AuthorsEnis Karaarslan, Ömer Aydın, Senem Yazıcı Yılma, Hasan Tınmaz, Süleyman Eken, Nida Gökçe Narin, Umit Cali, Kürşad Özkaynar, Önder Gürcan, Mina Fanea-ıvanovici, Osman Gazi Güçlütürk, Qi, Mandy, Huseyin Kusetogullari, Moharram Challenger and Nebojsa Bacanin
Abstract

Journal of Metaverse has emerged as a global interdisciplinary platform in 2021 for research on the Metaverse, Virtual Reality, Augmented Reality, Artificial Intelligence, and Blockchain. In a short period, it has attracted contributions from internationally renowned scholars, further solidifying its academic influence. This article aims to critically examine the journal’s trajectory, its publication output over a defined period, and its editorial commitments. We outline the journal’s founding and developmental process, editorial policies, academic impact, and remarkable growth. Additionally, we reaffirm our dedication to advancing innovative research within the journal’s scope while outlining future expectations and strategic directions. Furthermore, we highlight the success story behind the journal’s high-impact publications and its recognition by prestigious indexing services such as Scopus, Web of Science, and DOAJ. The ongoing mission of the Journal of Metaverse is to shape the discourse on the technical and societal implications of the Metaverse and related technologies, enhance research visibility, and guide future innovations in this transformative field. Through this editorial, we seek to contribute to the broader scholarly conversation and share insights with publishers, authors, researchers, editors, and relevant stakeholders, fostering further collaboration and advancement in the field.

KeywordsMetaverse; Journal of Metaverse; Innovation; Virtual world; Policies and standards; Artificial intelligence (AI); Augmented reality (AR); Virtual reality (VR); Blockchain
Year2025
JournalJournal of Metaverse
Journal citation5 (2), pp. 73-91
PublisherIzmir Academy Association
ISSN2792-0232
Digital Object Identifier (DOI)https://doi.org/10.57019/jmv.1664054
Official URLhttps://dergipark.org.tr/en/pub/jmv/issue/91863/1664054#article_cite
Publication dates
Online23 Jun 2025
Publication process dates
Accepted02 Jun 2025
Deposited09 Jun 2025
Publisher's version
License
File Access Level
Open
Output statusPublished
References

Hollensen, S., Kotler, P., & Opresnik, M. O. (2022). Metaverse–the new marketing universe. Journal of business strategy, 44(3), 119-125.
Shin, D. (2022). The actualization of meta affordances: Conceptualizing affordance actualization in the metaverse games. Computers in human behavior, 133, 107292.
Jaynes, C., Seales, W. B., Calvert, K., Fei, Z., & Griffioen, J. (2003, May). The Metaverse: a networked collection of inexpensive, self-configuring, immersive environments. In Proceedings of the workshop on Virtual environments 2003 (pp. 115-124).
Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2022). A survey on metaverse: Fundamentals, security, and privacy. IEEE communications surveys & tutorials, 25(1), 319-352.
Meta (2025). What is the Metaverse? Metacom. https://about.meta.com/what-is-the-metaverse/
Parr, T. J., & Rohaly, T. F. (1995, January). A language for creating and manipulating VRML. In Proceedings of the first symposium on Virtual reality modeling language (pp. 123-131).
Kobryn, C. (2000). Architectural patterns for metamodeling: The hitchhiker’s guide to the UML metaverse. In ≪ UML≫ 2000—The Unified Modeling Language: Advancing the Standard Third International Conference York, UK, October 2–6, 2000 Proceedings 3 (pp. 497-497). Springer Berlin Heidelberg.
Gadalla, E., Keeling, K., & Abosag, I. (2013). Metaverse-retail service quality: A future framework for retail service quality in the 3D internet. Journal of marketing management, 29(13-14), 1493-1517.
Hassouneh, D., & Brengman, M. (2011). Virtual worlds: A gateway for SMEs toward internationalization. Journal of Brand Management, 19, 72-90.
Cameron, A. (2012). Splendid isolation: ‘Philosopher’s islands’ and the reimagination of space. Geoforum, 43(4), 741-749.
Leone, M. (2011). The semiotics of religious space in Second Life®. Social semiotics, 21(3), 337-357.
Ayiter, E. (2019). Spatial poetics, place, non-place and storyworlds: intimate spaces for metaverse avatars. Technoetic Arts: A Journal of Speculative Research, 17(1-2), 155-169.
Sousa, C. C. D. (2017). Virtual corporeality and aesthetic experience. Virtual Creativity, 7(1), 7-28.
Papagiannidis, S., Bourlakis, M., & Li, F. (2008). Making real money in virtual worlds: MMORPGs and emerging business opportunities, challenges and ethical implications in metaverses. Technological Forecasting and Social Change, 75(5), 610-622.
Bourlakis, M., Papagiannidis, S., & Li, F. (2009). Retail spatial evolution: paving the way from traditional to metaverse retailing. Electronic commerce research, 9, 135-148.
Nalbant, K. G., & Uyanık, Ş. (2021). Computer Vision in the Metaverse. Journal of Metaverse, 1(1), 9-12.
Ağralı, Ö., & Aydın, Ö. (2021). Tweet Classification and Sentiment Analysis on Metaverse Related Messages. Journal of Metaverse, 1(1), 25-30.
Banaeian Far, S., & Imani Rad, A. (2022). Applying Digital Twins in Metaverse: User Interface, Security and Privacy Challenges. Journal of Metaverse, 2(1), 8-15.
Moro Visconti, R. (2022). From physical reality to the Metaverse: a Multilayer Network Valuation. Journal of Metaverse, 2(1), 16-22.
Zaazaa, O., & El Bakkali, H. (2024). SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework. Journal of Metaverse, 4(2), 126-137. https://doi.org/10.57019/jmv.1489060
Abd Elkareem, N., Selim, M., & Shalaby, A. (2024). Software-Defined Metaverse (SDM) Architecture. Journal of Metaverse, 4(2), 146-156. https://doi.org/10.57019/jmv.1541821
Karabıyık, M. A., Tan, F. G., & Yüksel, A. S. (2024). Application of Prompt Engineering Techniques to Optimize Information Retrieval in the Metaverse. Journal of Metaverse, 4(2), 157-164. https://doi.org/10.57019/jmv.1543077
Thomason, J. (2021). MetaHealth - How will the Metaverse Change Health Care?. Journal of Metaverse, 1(1), 13-16.
Damar, M. (2022). What the Literature on Medicine, Nursing, Public Health, Midwifery, and Dentistry Reveals: An Overview of the Rapidly Approaching Metaverse. Journal of Metaverse, 2(2), 62-70. https://doi.org/10.57019/jmv.1132962
Tretter, M., Samhammer, D., Ott, T., Dabrock, P. (2023). Towards an Ethics for the Healthcare Metaverse. Journal of Metaverse, 3(2), 181-189. https://doi.org/10.57019/jmv.1318774
Anwar, S., & Sanober, A. (2024). MetaBlock: A Revolutionary System for Healthcare Industry Fusing Metaverse and Blockchain. Journal of Metaverse, 4(2), 116-125. https://doi.org/10.57019/jmv.1513886
Akin, I., & Akın, M. (2024). Valuation, Accounting Principles, and Classification of Assets in the Metaverse. Journal of Metaverse, 4(1), 43-53. https://doi.org/10.57019/jmv.1412352
Bayram, A. (2022). Metaleisure: Leisure Time Habits to be Changed with Metaverse. Journal of Metaverse, 2(1), 1-7.
Wisnu Buana, I. M. (2023). Metaverse: Threat or Opportunity for Our Social World? In understanding Metaverse on sociological context. Journal of Metaverse, 3(1), 28-33. https://doi.org/10.57019/jmv.1144470
Serpil, H., & Karaca, D. (2023). The Metaverse or Meta-Awareness?. Journal of Metaverse, 3(1), 1-8. https://doi.org/10.57019/jmv.1093347
Mitra, S. (2023). Metaverse: A Potential Virtual-Physical Ecosystem for Innovative Blended Education and Training. Journal of Metaverse, 3(1), 66-72. https://doi.org/10.57019/jmv.1168056
Li, M. (2023). A Second Life for Educators: A Hybrid Extended Reality Education Between Zuckerberg’s Vision and Educational Researchers’ Imaginary. Journal of Metaverse, 3(1), 73-78. https://doi.org/10.57019/jmv.1179463
Rahman, K. R., Shitol, S. K., Islam, M. S., Iftekhar, K. T., et al. (2023). Use of Metaverse Technology in Education Domain. Journal of Metaverse, 3(1), 79-86. https://doi.org/10.57019/jmv.1223704
Bizel, G. (2023). A Bibliometric Analysis: Metaverse in Education Concept. Journal of Metaverse, 3(2), 133-143. https://doi.org/10.57019/jmv.1310768
Tsai, Y.-c. (2023). Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining. Journal of Metaverse, 3(2), 121-132. https://doi.org/10.57019/jmv.1302136
Xiaolan, W., & Tınmaz, H. (2024). Exploring University Teachers’ Perceptions of Metaverse Integration in Higher Education: A Quantitative Study from China. Journal of Metaverse, 4(2), 165-176. https://doi.org/10.57019/jmv.1582429
Demir, G., Argan, M., & Dinç, H. (2023). The Age Beyond Sports: User Experience in the World of Metaverse. Journal of Metaverse, 3(1), 19-27. https://doi.org/10.57019/jmv.1176938
Syukur, A., Andono, P. N., Hastuti, K., Syarif, A. M. (2023). Immersive and Challenging Experiences through A Virtual Reality Musical Instruments Game: An Approach to Gamelan Preservation. Journal of Metaverse, 3(1), 34-42. https://doi.org/10.57019/jmv.1172928
Tuncsiper, Z., Şanlısoy, S., & Aydın, Ü. (2025). Economic Transformation from Physical to Digital: A Bibliometric Analysis of the Metaverse Economy. Journal of Metaverse, 5(1), 25-37. https://doi.org/10.57019/jmv.1608255
Al-gnbri, M. K. (2022). Accounting and Auditing in the Metaverse World from a Virtual Reality Perspective: A Future Research. Journal of Metaverse, 2(1), 29-41.
Katterbauer, K., Syed, H., & Cleenewerck, L. (2022). Financial cybercrime in the Islamic Finance Metaverse. Journal of Metaverse, 2(2), 56-61. https://doi.org/10.57019/jmv.1108783
Yemenici, A. D. (2022). Entrepreneurship in The World of Metaverse: Virtual or Real?. Journal of Metaverse, 2(2), 71-82. https://doi.org/10.57019/jmv.1126135
Kalyvaki, M. (2023). Navigating the Metaverse Business and Legal Challenges: Intellectual Property, Privacy, and Jurisdiction. Journal of Metaverse, 3(1), 87-92. https://doi.org/10.57019/jmv.1238344
Nateghi, A., & Mosharraf, M. (2023). Architecting the Future: A Model for Enterprise Integration in the Metaverse. Journal of Metaverse, 3(2), 190-199. https://doi.org/10.57019/jmv.1355500
Spivey, W. A., & Munson, J. M. (2009, August). MOT entrepreneurs in second life. In PICMET'09-2009 Portland International Conference on Management of Engineering & Technology (pp. 2200-2221). IEEE.
Özdemir Uçgun, G. (2024). The Effects of Metaverse on the Tourism Industry. Journal of Metaverse, 4(1), 71-83. https://doi.org/10.57019/jmv.1466997
Nalbant, K. G., & Aydın, S. (2023). Development and Transformation in Digital Marketing and Branding with Artificial Intelligence and Digital Technologies Dynamics in the Metaverse Universe. Journal of Metaverse, 3(1), 9-18. https://doi.org/10.57019/jmv.1148015
Yang, Q., Zhao, Y., Huang, H., Xiong, Z., Kang, J., & Zheng, Z. (2022). Fusing blockchain and AI with metaverse: A survey. IEEE Open Journal of the Computer Society, 3, 122-136.
Uddin, M., Obaidat, M., Manickam, S., Laghari, S. U. A., Dandoush, A., Ullah, H., & Ullah, S. S. (2024). Exploring the convergence of Metaverse, Blockchain, and AI: A comprehensive survey of enabling technologies, applications, challenges, and future directions. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(6), e1556.
Soliman, M. M., Ahmed, E., Darwish, A., & Hassanien, A. E. (2024). Artificial intelligence powered Metaverse: analysis, challenges and future perspectives. Artificial Intelligence Review, 57(2), 36.
Karunarathna, S., Wijethilaka, S., Ranaweera, P., Hemachandra, K. T., Samarasinghe, T., & Liyanage, M. (2023). The role of network slicing and edge computing in the metaverse realization. IEEE Access, 11, 25502-25530.
Cai, Y., Llorca, J., Tulino, A. M., & Molisch, A. F. (2022, July). Compute-and data-intensive networks: The key to the metaverse. In 2022 1st international conference on 6G networking (6GNet) (pp. 1-8). IEEE.
Hatami, M., Qu, Q., Chen, Y., Kholidy, H., Blasch, E., & Ardiles-Cruz, E. (2024). A Survey of the Real-Time Metaverse: Challenges and Opportunities. Future Internet, 16(10), 379.
Ball, M. (2022). The metaverse: and how it will revolutionize everything. Liveright Publishing.
Ko, E., & Jang, J. (2014, July). The virtual device managing module of the metaverse assisted living support system. In Proc. Int. Conf. Modeling, Simulation Vis. Methods (MSV) Steering Committee World Congr. Comput., Eng. Appl. Comput.(WorldComp) (pp. 125-126).
Huang, H., Yin, Z., Yang, Q., Li, T., Luo, X., Zhou, L., & Zheng, Z. (2024). Scalability and Security of Blockchain-empowered Metaverse: A Survey. IEEE Open Journal of the Computer Society.
Gokce Narin, N. (2023). The role of artificial intelligence and robotic solution Technologies in Metaverse Design. In Metaverse: Technologies, Opportunities and Threats (pp. 45-63). Singapore: Springer Nature Singapore.
Ahmad, M. A., Shen, C., Srivastava, J., & Contractor, N. (Eds.). (2014). Predicting real world behaviors from virtual world data. Springer International Publishing.
Dong, G., Tang, M., Wang, Z., Gao, J., Guo, S., Cai, L., ... & Boukhechba, M. (2023). Graph neural networks in IoT: A survey. ACM Transactions on Sensor Networks, 19(2), 1-50.
Coleman, J. S. (2005). Introducing speech and language processing. Cambridge university press.
Kurai, R., Hiraki, T., Hiroi, Y., Hirao, Y., Perusquia-Hernandez, M., Uchiyama, H., & Kiyokawa, K. (2024). Magicitem: Dynamic behavior design of virtual objects with large language models in a consumer metaverse platform. arXiv preprint arXiv:2406.13242.
Pan, Z., & Liu, H. (2025). MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse. arXiv preprint arXiv:2503.18470.
Hong, J., Lee, Y., Kim, D. H., Choi, D., Yoon, Y. J., Lee, G. C., ... & Kim, J. (2024, July). A Context-Aware Onboarding Agent for Metaverse Powered by Large Language Models. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (pp. 1857-1874).
Olayiwola, O., Cali, U., Elsden, M., & Yadav, P. (2025). Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept. Solar, 5(1), 7. https://doi.org/10.3390/solar5010007
Aloqaily, M., Bouachir, O., Karray, F., Al Ridhawi, I., & El Saddik, A. (2022). Integrating digital twin and advanced intelligent technologies to realize the metaverse. IEEE Consumer Electronics Magazine, 12(6), 47-55.
Li, K., Cui, Y., Li, W., Lv, T., Yuan, X., Li, S., ... & Dressler, F. (2022). When internet of things meets metaverse: Convergence of physical and cyber worlds. IEEE Internet of Things Journal, 10(5), 4148-4173.
Patel, D., & Manickam, R. (2024, January). Enhancing Maintenance Learning in the Industrial Metaverse: Integrating Virtual Reality and Machine Learning. In International Conference on Industry 4.0 and Advanced Manufacturing (pp. 153-163). Singapore: Springer Nature Singapore.
Kuru, K. (2023). Metaomnicity: Toward immersive urban metaverse cyberspaces using smart city digital twins. IEEE Access, 11, 43844-43868.
Moztarzadeh, O., Jamshidi, M., Sargolzaei, S., Keikhaee, F., Jamshidi, A., Shadroo, S., & Hauer, L. (2023). Metaverse and medical diagnosis: A blockchain-based digital twinning approach based on MobileNetV2 algorithm for cervical vertebral maturation. Diagnostics, 13(8), 1485.
Cali, U., Aghaei, M., Moazami, A., & Lobaccaro, G. (2024). Digital Twin Technology for the Energy Sector: Fundamentals, Advances, Challenges, and Applications. Elsevier.
Sarp, S., Kuzlu, M., Zhao, Y., Catak, F. O., Cali, U., Jovanovic, V., & Guler, O. (2023). Digital twin in chronic wound management. In Digital Twin Driven Intelligent Systems and Emerging Metaverse (pp. 233-248). Singapore: Springer Nature Singapore.
Jovanovic, V., Kuzlu, M., Cali, U., Utku, D. H., Catak, F. O., Sarp, S., & Zohrabi, N. (2023). Digital twin in industry 4.0 and beyond applications. In Digital Twin Driven Intelligent Systems and Emerging Metaverse (pp. 155-174). Singapore: Springer Nature Singapore.
Dwivedi, Y. K., et al. (2022). Metaverse and its potential for shaping a better future: Toward a research agenda. Journal of Business Research, 146, 389–400. https://doi.org/10.1016/j.jbusres.2022.03.056
Lee, L.-H., Braud, T., Zhou, P., et al. (2021). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. arXiv preprint arXiv:2110.05352.
Qamar S., Anwar Z., Afzal M. (2023). A systematic threat analysis and defense strategies for the metaverse and extended reality systems. Computers & Security, 128, 103127. https://doi.org/10.1016/j.cose.2023.103127
Erdogan, N., Bhinder, M., Murphy, J., Cali, U., & Aghaei, M. (2025). Digital twin in design and control optimization of marine renewable energy and offshore wind energy systems. In Digital Twin Technology for the Energy Sector (pp. 143-160). Elsevier.
Eskandari, A., Malekizadeh, M., Peyravi, M., Nedaei, A., Kolahi, M., Erdogan, N., ... & Aghaei, M. (2025). Electric mobility and beyond: advancing charging infrastructure optimization with digital twins. In Digital Twin Technology for the Energy Sector (pp. 267-287). Elsevier.
Karaarslan, E., & Yazici Yilmaz, S. (2023). Metaverse and decentralization. In Metaverse: Technologies, Opportunities and Threats (pp. 31-44). Singapore: Springer Nature Singapore.
Karaarslan, E., and Konacıklı Enis. (2020). Data Storage in the Decentralized World: Blockchain and Derivatives. In S. Prof. Gülseven, E. Akadal, & S. Prof. Kumar Sharma (Eds.), Who Runs the World: Data (pp. 37-69). Retrieved from https://iupress.istanbul.edu.tr/tr/book/who-runs-the-world-data/home
Karaarslan, E., Birim, M. (2021). Fundamentals of Secure and Reliable Application Development in Blockchain (Blokzincirde Güvenli ve Güvenilir Uygulama Geliştirme Temelleri), Siber Güvenlik ve Savunma: Blokzinciri ve Kriptografi, p 1-48, Nobel Yayınevi.
Karaarslan, E., & Adiguzel, E. (2018). Blockchain based DNS and PKI solutions. IEEE Communications Standards Magazine, 2(3), 52-57.
Ozdemir, S. (2023). Non-fungible Tokens (NFT), Virtual Real Estate and Digital Assets, Cultural and Artistic Works. In Metaverse: Technologies, Opportunities and Threats (pp. 135-150). Singapore: Springer Nature Singapore.
Trautman, L. J. (2021). Virtual art and non-fungible tokens. Hofstra L. Rev., 50, 361.
Mourtzis, D., Panopoulos, N., Angelopoulos, J., Wang, B., & Wang, L. (2022). Human centric platforms for personalized value creation in metaverse. Journal of Manufacturing Systems, 65, 653-659.
Onderdijk, K. E., Bouckaert, L., Van Dyck, E., & Maes, P. J. (2023). Concert experiences in virtual reality environments. Virtual Reality, 27(3), 2383-2396.
Singh, S. V., Singh, P. C., Singh, K., & Nain, A. (2024). Role of Metaverse in Events Industry: An Empirical Approach. In New Technologies in Virtual and Hybrid Events (pp. 164-183). IGI Global.
Brown, C., & Eastment, C. (2024). Meta-SustainED Nurturing Greener Events Using the Metaverse Technology. ICHRIE Research Reports, 9(2), 4.
Šímová, T., Zychová, K., & Fejfarová, M. (2024). Metaverse in the virtual workplace. Vision, 28(1), 19-34.
Nuñez, J. G., & Bolognesi, M. (2024). Exploring team collaboration in the new metaverse (the 3D-AI Internet). SocioEconomic Challenges, 8(2), 314-341.
Yang, X., & Zhang, J. (2025). In the Metaverse: Empowering Rural Revitalization through International Trade. Financial Economics Research, 2(1), 18-26.
Tsappi, E., & Papageorgiou, G. (2023, July). Towards deriving organizational key performance indicators in a metaverse workplace: A systematic literature review. In Proceedings of the 16th international conference on PErvasive technologies related to assistive environments (pp. 374-383).
Jeong, H., Yi, Y., & Kim, D. (2022). An innovative e-commerce platform incorporating metaverse to live commerce. International Journal of Innovative Computing, Information and Control, 18(1), 221-229.
Aydoğan, E., & Aydemir, M. F. (2022). Blockchain-Based E-Commerce: An Evaluation. International Journal of Social Inquiry, 15(2), 649-666.
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.
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. Platforms, and Models (November 3, 2023).
Zhang, L., Anjum, M. A., & Wang, Y. (2024). 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.
Kliestik, T., Novak, A., & Lăzăroiu, G. (2022). Live shopping in the metaverse: Visual and spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive digital simulations. Linguistic and Philosophical Investigations, 21, 187-202.
Catherine, S., Kiruthiga, V., & Gabriel, R. (2024). Effective Brand Building in Metaverse Platform: Consumer-Based Brand Equity in a Virtual World (CBBE). In Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms (pp. 39-48). IGI Global Scientific Publishing.
Miao, L., Yang, F. X., Hu, J., Wang, K. Y., & Zhang, Q. (2024). Sense of place of tourism destinations in a metaverse paradigm. Tourism Management, 105, 104958.
Chen, Z. (2025), Beyond boundaries: exploring the Metaverse in tourism. International Journal of Contemporary Hospitality Management, 37(4), pp. 1257-1275.
Romero-Sánchez, A., Perdomo-Charry, G., & Burbano-Vallejo, E. L. (2024). Academic Spin-offs through the Lens of Pragmatism and Mixed Methods. Evolutionary Studies in Imaginative Culture, 8, 30-67.
Rather, R. A. (2025). Metaverse marketing and consumer research: Theoretical framework and future research agenda in tourism and hospitality industry. Tourism recreation research, 50(1), 189-197.
Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review, 75(1), 267-272.
Flavián, C., Tussyadiah, I. P., & Orús, C. (2024). How immersive technologies are redefining the customer journey. Guest editorial. International Journal of Contemporary Hospitality Management, 36(11), 3557-3565.
COPE (2005). Editor as author in own journal. Committee on Publication Ethics Web Site. Retrieved from https://publicationethics.org/guidance/case/editor-author-own-journa...
Helgesson, G., Radun, I., Radun, J., & Nilsonne, G. (2022). Editors publishing in their own journals: A systematic review of prevalence and a discussion of normative aspects. Learned Publishing, 35(2), 229-240. https://doi.org/10.1002/leap.1449
COPE (2019). A Short Guide to Ethical Editing for New Editors (Version 3: May 2019). Doi: https://doi.org/10.24318/cope.2019.1.

Permalink -

https://repository.canterbury.ac.uk/item/9v2w8/shaping-the-future-of-metaverse-research

Download files


Publisher's version
1-1664054-ok-1.pdf
License: CC BY 4.0
File access level: Open

  • 85
    total views
  • 60
    total downloads
  • 6
    views this month
  • 9
    downloads this month

Export as

Related outputs

Default clearing and ex-ante contagion in financial systems with a two-layer network structure
Qi, M., Ding, Y., Chun, Y., Liu, W. and Liu, J. 2025. Default clearing and ex-ante contagion in financial systems with a two-layer network structure. Communications in Nonlinear Science and Numerical Simulation. 142 (1), p. 108515. https://doi.org/10.1016/j.cnsns.2024.108515
Two-stage trading mechanism in enabling the design and optimization of flexible resources interaction in smart grid
Qi, M., Chen, Y., Li, H., Liu, Y., Wu, S. and Li, X. 2024. Two-stage trading mechanism in enabling the design and optimization of flexible resources interaction in smart grid. Computing and Informatics. 43 (6), p. 1483–1515. https://doi.org/10.31577/cai_2024_6_1483
Corporate fraud detection based on improved BP neural network
Qi, M., Liu, W., Liu, M,, Yan, C. and Zhang, L. 2024. Corporate fraud detection based on improved BP neural network. Computing and Informatics. 43 (3), pp. 611–632-611–632. https://doi.org/10.31577/cai_2024_3_611
Normalizing flow based uncertainty estimation for deep regression analysis
Qi, M., Zhang, B., Sui, W, Li, M. and Huang, Z. 2024. Normalizing flow based uncertainty estimation for deep regression analysis. Neurocomputing. 585 (6), p. 127645. https://doi.org/10.1016/j.neucom.2024.127645
Focusing on the golden skills of effective communication and collaboration to further enhance graduate employability attributes
O'Leary, S., McGee, M., Qi, M., Millns, S. and Eyden, A. 2024. Focusing on the golden skills of effective communication and collaboration to further enhance graduate employability attributes. Graduate College Working Papers.
Feed-forward ANN with Random Forest Technique for Identifying malicious Internet of Things network intrusion
Obarafor, Victor, Qi, Mandi and Zhang, Leishi 2024. Feed-forward ANN with Random Forest Technique for Identifying malicious Internet of Things network intrusion. in: 2024 2nd International Conference on Cyber Resilience (ICCR) IEEE.
The role of use cases when adopting augmented reality into higher education pedagogy
Ward, G., Turner, S., Pitt, C., Qi, M., Richmond-Fuller, A. and Jackson, T. 2024. The role of use cases when adopting augmented reality into higher education pedagogy.
A review of privacy-preserving federated learning, deep learning, and machine learning IIoT and IoTs solutions
Obarafor, Victor, Qi, Man and Zhang, L. 2023. A review of privacy-preserving federated learning, deep learning, and machine learning IIoT and IoTs solutions. in: 2023 8th IEEE International Conference on Signal and Image Processing (ICSIP) Wuxi, China IEEE. pp. 1074-1078
Pre-processing of social media remarks for forensics
Gao, Xuhao and Qi, Man 2023. Pre-processing of social media remarks for forensics. IEEE. https://doi.org/10.1109/icnc-fskd59587.2023.10280980
Alignment-based conformance checking of hierarchical process models
Wang, L, Han, X., Qi, M., Wang, K. and Lu, P. 2023. Alignment-based conformance checking of hierarchical process models. Computing and Informatics. 43 (1), pp. 149-180. https://doi.org/10.31577/cai_2024_1_149
Research on UBI auto insurance pricing model based on parameter adaptive SAPSO optimal fuzzy controller
Wang, X., Liu, W., Ou, Z., Yan, C., Qi, M. and Jia, W. 2022. Research on UBI auto insurance pricing model based on parameter adaptive SAPSO optimal fuzzy controller. Computing and Informatics. 41 (4), pp. 1078-1113. https://doi.org/10.31577/cai_2022_4_1078
Novel architecture for human re-identification with a two-stream neural network and attention ,echanism
Rahi, B. and Qi, M. 2022. Novel architecture for human re-identification with a two-stream neural network and attention ,echanism. Computing and Informatics. 41 (4), pp. 905-930. https://doi.org/10.31577/cai_2022_4_905
A novel data analytic model for mining user insurance demands from microblogs
Chun Yan, Lu Liu, Wei Liu and Man Qi 2022. A novel data analytic model for mining user insurance demands from microblogs. Computing and Informatics. 41 (3). https://doi.org/10.31577/cai_2022_3_689
Deep learning based real-time facial mask detection and crowd monitoring
Chan-Yun Yang, Hooman Samani, Nana Ji, Chunxu Li, Ding-Bang Chen and Man Qi 2022. Deep learning based real-time facial mask detection and crowd monitoring. Computing and Informatics. 40 (6), pp. 1263-11294. https://doi.org/10.31577/cai_2021_6_1263
Repairing process models with non-free-choice constructs based on token replay
Bai, E., Qi, M., Luan, W., Li, P. and Du, Y. 2022. Repairing process models with non-free-choice constructs based on token replay. Computing and Informatics. 41 (4), pp. 1054-1077. https://doi.org/10.31577/cai_2022_4_1054
Transformers only look once with nonlinear combination for real-time object detection
Xia, R., Li, G., Huang, Z., Pang, Y. and Qi, M. 2022. Transformers only look once with nonlinear combination for real-time object detection. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07333-y
Deviation detection in clinical pathways based on business alignment
Tian, Y., Li, X., Qi, Man, Han, D. and Du, Yuyue 2022. Deviation detection in clinical pathways based on business alignment. Scientific Programming. 2022, pp. 1-13. https://doi.org/10.1155/2022/6993449
Security vulnerabilities of popular smart home appliances
Qi, M., Induruwa, A. and Hussain, F. 2021. Security vulnerabilities of popular smart home appliances. in: Proceeding of The Twentieth International Conference on Networks April 18, 2021 to April 22, 2021 - Porto, Portugal
Improved adaptive genetic algorithm for the vehicle insurance fraud identification model based on a BP neural network
Yan, C., Li, M., Liu, W. and Qi, M. 2020. Improved adaptive genetic algorithm for the vehicle insurance fraud identification model based on a BP neural network. Theoretical Computer Science. 817, pp. 12-23. https://doi.org/10.1016/j.tcs.2019.06.025
Hybrid Intrusion Detection System for Smart Home Applications
Hussain, Fida, Induruwa, Abhaya and Qi, Man 2020. Hybrid Intrusion Detection System for Smart Home Applications. in: Mahmood, Z. (ed.) Developing and Monitoring Smart Environments for Intelligent Cities IGI Global. pp. 300-322
Payments per claim model of outstanding claims reserve based on fuzzy linear regression
Yan, C., Liu, Q., Liu, J., Liu, W., Li, M. and Qi, M. 2019. Payments per claim model of outstanding claims reserve based on fuzzy linear regression. International Journal of Fuzzy Systems. 21, pp. 1950-1960. https://doi.org/10.1007/s40815-019-00617-x
Fuzzy interacting multiple model H∞ particle filter algorithm based on current statistical model
Wang, Q., Chen, X., Zhang, L., Li, J., Zhao, C. and Qi, M. 2019. Fuzzy interacting multiple model H∞ particle filter algorithm based on current statistical model. International Journal of Fuzzy Systems. 21, pp. 1894-1905. https://doi.org/10.1007/s40815-019-00678-y
Temporal sparse feature auto-combination deep network for video action recognition
Wang, Q., Gong, D., Qi, M., Shen, Y. and Lei, Y. 2018. Temporal sparse feature auto-combination deep network for video action recognition. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.4487
Soundness analytics of composed logical workflow nets
Liu, W., Wang, L., Feng, X., Qi, M., Yan, C. and Li, M. 2017. Soundness analytics of composed logical workflow nets. International Journal of Parallel Programming. https://doi.org/10.1007/s10766-017-0536-8
A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters
Liu, Y., Jing, W., Liu, Y., Lv, L., Qi, M. and Xiang, Y. 2016. A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters. Concurrency and Computation: Practice and Experience. 29 (3). https://doi.org/10.1002/cpe.3763
Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems
Luo, C., Zhang, B., Xiang, Y. and Qi, M. 2017. Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems. Journal of Computer and System Sciences. https://doi.org/10.1016/j.jcss.2017.03.007
Facilitating visual surveillance with motion detections
Qi, M. 2017. Facilitating visual surveillance with motion detections. Concurrency and Computation: Practice and Experience. 29 (3). https://doi.org/10.1002/cpe.3770
Data security of android applications
Obiri-Yeboah, J. and Qi, M. 2016. Data security of android applications. in: 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery : ICNC-FSKD 2016 : 13-15 August, Changsha, China IEEE Xplore.
AL-DDCNN : a distributed crossing semantic gap learning for person re-identification
Cheng, K., Zhan, Y. and Qi, M. 2017. AL-DDCNN : a distributed crossing semantic gap learning for person re-identification. Concurrency and Computation: Practice and Experience. 29 (3). https://doi.org/10.1002/cpe.3766
Integration of link and semantic relations for information recommendation
Zhao, Q., He, Y., Wang, P., Jiang, C. and Qi, M. 2016. Integration of link and semantic relations for information recommendation. Computing and Informatics. 35 (1), pp. 30-54.
Data-driven pedestrian re-identification based on hierarchical semantic representation
Cheng, K., Xu, F., Tao, F., Qi, M. and Li, M. 2018. Data-driven pedestrian re-identification based on hierarchical semantic representation. Concurrency and Computation: Practice and Experience. 30 (23). https://doi.org/10.1002/cpe.4403
Integrated privacy preserving framework for smart home
Qi, M. and Hussain, F. 2018. Integrated privacy preserving framework for smart home. in: Proceedings of The 14th International Conference on Fuzzy Systems and Knowledge Discovery, 28-30 July 2018 in Huangshan, China.
Parallelizing abnormal event detection in crowded scenes with GPU
Yavari, M., Li, M., Li, S. and Qi, M. 2015. Parallelizing abnormal event detection in crowded scenes with GPU.
Big data management in digital forensics
Qi, M. 2014. Big data management in digital forensics. in: 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE) IEEE. pp. 238-243
Digital forensics and NoSQL databases
Qi, M. 2014. Digital forensics and NoSQL databases. in: Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014 IEEE. pp. 734-739
Employing neural networks for DDoS detection
Qi, M. 2014. Employing neural networks for DDoS detection.
A MapReduce based distributed LSI for scalable information retrieval
Liu, Y., Li, M., Khan, M. and Qi, M. 2014. A MapReduce based distributed LSI for scalable information retrieval. Computing and Informatics. 33 (2), pp. 259-280.
Clear up grey areas: cybercrime legislation progress in China
Qi, M. 2013. Clear up grey areas: cybercrime legislation progress in China.
A resource aware MapReduce based parallel SVM for large scale image classification
Guo, W., Khalid, N., Liu, Y., Li, M., Qi, M., Guo, W., Khalid, N., Liu, Y., Li, M. and Qi, M. 2015. A resource aware MapReduce based parallel SVM for large scale image classification. Neural Processing Letters. 44 (1), pp. 161-184.
Social media in law enforcement: the role and issues
Qi, M. 2012. Social media in law enforcement: the role and issues.
A distributed storage system for archiving broadcast media content
Cherry, D., Li, M. and Qi, M. 2012. A distributed storage system for archiving broadcast media content. in: Grid and Cloud Computing: Concepts, Methodologies, Tools and Applications IGI Global. pp. 669-679
A distributed SVM ensemble for image classification and annotation
Alham, M., Li, M., Liu, Y., Ponraj, M. and Qi, M. 2012. A distributed SVM ensemble for image classification and annotation. in: 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) IEEE. pp. 1581-1584
Computer forensics in communication networks
Wang, Y. and Qi, M. 2012. Computer forensics in communication networks. in: IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011) Curran.
A MapReduce based parallel SVM for large scale spam filtering
Caruana, G., Li, M. and Qi, M. 2011. A MapReduce based parallel SVM for large scale spam filtering. in: Caruana, G. (ed.) Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011 IEEE.
Cyber safety in schools
Qi, M. 2011. Cyber safety in schools.
The social effects of spam
Mousoli, R., Qi, M. and Edgar-Nevill, D. 2008. The social effects of spam. in: Edgar-Nevill, D. (ed.) Proceedings of CFET 2008 – 2nd Annual International Conference on Cybercrime Forensics Education and Training Canterbury Canterbury Christ Church University. pp. 71-78
A distributed SVM ensemble for large scale image classification and annotation
Alham, K., Li, M., Liu, Y. and Qi, M. 2013. A distributed SVM ensemble for large scale image classification and annotation. Computers and Mathematics with Applications. 66 (10), pp. 1920-1934. https://doi.org/10.1016/j.camwa.2013.07.015
Fast implementation of cel-based animation
Qi, M. 2008. Fast implementation of cel-based animation.
A case-based reasoning model for digital intrusion forensics
Qi, M., Wang, Y. and Xu, R. 2008. A case-based reasoning model for digital intrusion forensics.
Cybercrime legislation in China
Qi, M., Wang, Y. and Xu, R. 2008. Cybercrime legislation in China.
P2P DDoS: Challenges and Countermeasures
Qi, M. 2009. P2P DDoS: Challenges and Countermeasures.
Distributed indexing for resource discovery in P2P(Peer to Peer) networks
Qi, M., Hentschel, M., Li, M. and Ponraj, M. 2009. Distributed indexing for resource discovery in P2P(Peer to Peer) networks.
P2P(peer to peer) network-targeted DDoS(distributed denial-of-service attacks)
Qi, M. 2009. P2P(peer to peer) network-targeted DDoS(distributed denial-of-service attacks).
Spam and social effects
Qi, M., Edgar-Nevill, D. and Mousoli, R. 2009. Spam and social effects.
Footprints of cyber criminals
Qi, M. and Edgar-Nevill, D. 2007. Footprints of cyber criminals.
Tracking email offenders
Edgar-Nevill, D. and Qi, M. 2007. Tracking email offenders.
Protecting intellectual property and computer software: legislation in China
Qi, M. and Wang, Y. 2010. Protecting intellectual property and computer software: legislation in China.
Machine learning based spam filtering: advantages and challenges
Qi, M. 2010. Machine learning based spam filtering: advantages and challenges.
OBIRE: ontology based bibliographic information publication and retrieval
Liu, X., Li, M., Liu, Y. and Qi, M. 2010. OBIRE: ontology based bibliographic information publication and retrieval. International Journal of Distributed Systems and Technologies. 1 (4), pp. 58-73.
Cybercrime and relevant legislation in China
Qi, M. and Wang, Y. 2010. Cybercrime and relevant legislation in China. in: Reich, P. (ed.) Cybercrime and Security Oxford Oxford University Press. pp. 1-34
Semantic analysis for spam filtering
Qi, M. and Mousoli, R. 2010. Semantic analysis for spam filtering.
MAPBOT: A web based map information retrieval system
Li, M. and Qi, M. 2003. MAPBOT: A web based map information retrieval system. Information and Software Technology. 45 (10), pp. 691-698. https://doi.org/10.1016/S0950-5849(03)00082-X
Leveraging legacy codes to distributed problem-solving environments: a web services approach
Li, M. and Qi, M. 2004. Leveraging legacy codes to distributed problem-solving environments: a web services approach. Software: Practice and Experience. 34 (13), pp. 1297-1309. https://doi.org/10.1002/spe.614
PGGA: a predictable and grouped genetic algorithm for job scheduling
Li, M., Yu, B. and Qi, M. 2006. PGGA: a predictable and grouped genetic algorithm for job scheduling. Future Generation Computer Systems. 22 (5), pp. 588-599. https://doi.org/10.1016/j.future.2005.09.001
Lessons learned from Beijing for the London 2012
Edgar-Nevill, D. and Qi, M. 2009. Lessons learned from Beijing for the London 2012. in: Edgar-Nevill, D. (ed.) Proceedings of the 3rd International Conference on Cybercrime Forensics Euducation and Training CFET 2009 Canterbury, UK Canterbury Christ Church University.
Tracking online trails
Qi, M., Edgar-Nevill, D., Wang, Y. and Xu, R. 2008. Tracking online trails. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global E-Security Springer.
Web services discovery with rough sets
Li, M., Yu, B., Sahota, V. and Qi, M. 2009. Web services discovery with rough sets. International Journal of Web Services Research. 6 (1), pp. 69-86.
Facilitating resource discovery in grid environments with peer-to-peer structured tuple spaces
Li, M. and Qi, M. 2009. Facilitating resource discovery in grid environments with peer-to-peer structured tuple spaces. Peer-to-Peer Networking and Applications. 2 (4), pp. 283-297. https://doi.org/10.1007/s12083-009-0036-8
Optimizing peer selection in BitTorrent networks with genetic algorithms
Wu, T., Li, M. and Qi, M. 2010. Optimizing peer selection in BitTorrent networks with genetic algorithms. Future Generation Computer Systems. 26 (8), pp. 1151-1156. https://doi.org/10.1016/j.future.2010.05.016
Automatically wrapping legacy software into services: a grid case study
Li, M., Yu, B., Qi, M. and Antonopoulos, N. 2008. Automatically wrapping legacy software into services: a grid case study. Peer-to-Peer Networking and Applications. 1 (2), pp. 139-147. https://doi.org/10.1007/s12083-008-0011-9
Tracking online trails
Qi, M., Edgar-Nevill, D., Wang, Y. and Xu, R. 2008. Tracking online trails. International Journal of Electronic Security and Digital Forensics. 1 (4), pp. 353-361. https://doi.org/10.1504/IJESDF.2008.021453
Social networking searching and privacy issues
Qi, M. and Edgar-Nevill, D. 2011. Social networking searching and privacy issues. Information Security Technical Report. 16 (2), pp. 74-78. https://doi.org/10.1016/j.istr.2011.09.005
A WSRF based shopping cart system
Li, M., Qi, M., Rozati, M. and Yu, B. 2005. A WSRF based shopping cart system. Lecture Notes in Computer Science [Advances in Grid Computing (EGC) 2005 European Grid Conference, Amsterdam, The Netherlands, February 14-16, 2005, Revised Selected Papers]. 3470, pp. 105-137. https://doi.org/10.1007/b137919
Fighting cybercrime: legislation in China
Qi, M., Wang, Y. and Xu, R. 2009. Fighting cybercrime: legislation in China. International Journal of Electronic Security and Digital Forensics. 2 (2), pp. 219-227. https://doi.org/10.1504/IJESDF.2009.024905
Service composition with Al planning
Qi, M. 2009. Service composition with Al planning. in: Li, M. and Yu, B. (ed.) Cyberinfrastructure Technologies and Applications Nova Science Publishers. pp. 179-197