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Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman

Author

Listed:
  • Said Salloum

    (School of Science, Engineering, and Environment, University of Salford, Salford M5 4WT, UK)

  • Amina Al Marzouqi

    (Department of Health Service Administration, College of Health Sciences, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates)

  • Khaled Younis Alderbashi

    (Department Chair-Professional Postgraduate Diploma in Teaching, City University Ajman, Ajman P.O. Box 18484, United Arab Emirates)

  • Fanar Shwedeh

    (MBA Department, Business Administration College, City University Ajman, Ajman P.O. Box 18484, United Arab Emirates)

  • Ahmad Aburayya

    (MBA Department, Business Administration College, City University Ajman, Ajman P.O. Box 18484, United Arab Emirates)

  • Mohammed Rasol Al Saidat

    (Computer Centre, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates)

  • Rana Saeed Al-Maroof

    (English Language & Linguistics Department, Al Buraimi University College, Al Buraimi 512, Oman)

Abstract

This paper investigates adopting metaverse in academic institutions based on a conceptual model. The proposed conceptual model was created to empower future perspectives of the metaverse system. Even though the metaverses system was just recently launched, few attempts have been made to evaluate its impact on the educational sector. This paper attempted to determine the impact of metaverse system by providing a conceptual model that encompasses innovativeness, context awareness, perceived enjoyment, ubiquity, complexity, and value. The information was gathered using an online questionnaire completed by 953 people. The findings indicate that an innovative academic environment can influence teachers’ and students’ attitudes toward new technology. Understanding how the metaverse system functions as an innovative educational tool can influence students’ views regarding the use of new technology, assisting higher education institutions in developing regulations that enhance the learning process. As a result, the study discovered that the moderating impact of’ innovativeness is critical since it contributes to the pervasiveness of users’ perceptions of adopting new technology. The findings show that inventiveness is important in determining the metaverse system’s effectiveness. However, apparent ubiquity appears to have a less effective function in promoting the use of the metaverse system. The factors of context-awareness, perceived complexity and perceived enjoyment possess a substantial impact on the metaverse system’s adoption. Researchers have gained some insight into how university leaders can use current findings to spread awareness about the metaverse system in the educational environment by organizing seminars and workshops, offering incentives for teachers to use it, and allowing experts to assist teachers in better understanding the system’s benefits.

Suggested Citation

  • Said Salloum & Amina Al Marzouqi & Khaled Younis Alderbashi & Fanar Shwedeh & Ahmad Aburayya & Mohammed Rasol Al Saidat & Rana Saeed Al-Maroof, 2023. "Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5257-:d:1098732
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    References listed on IDEAS

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    1. Okazaki, Shintaro & Mendez, Felipe, 2013. "Perceived Ubiquity in Mobile Services," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 98-111.
    2. Sungjin Park & Sangkyun Kim, 2022. "Identifying World Types to Deliver Gameful Experiences for Sustainable Learning in the Metaverse," Sustainability, MDPI, vol. 14(3), pages 1-14, January.
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Hana Al-Nuaim, 2014. "Context-Aware Mobile Interface Design for M-government," Public Administration and Information Technology, in: Saqib Saeed (ed.), User-Centric Technology Design for Nonprofit and Civic Engagements, edition 127, chapter 0, pages 171-186, Springer.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    7. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    8. Sungjin Park & Kyoungsoon Min & Sangkyun Kim, 2021. "Differences in Learning Motivation among Bartle’s Player Types and Measures for the Delivery of Sustainable Gameful Experiences," Sustainability, MDPI, vol. 13(16), pages 1-10, August.
    9. Gladys Gnana Kiruba B. & Debi Prasanna Acharjya, 2020. "Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing: An Integrated SEM-PLS and Fuzzy Rough Set Approach," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 11(2), pages 80-111, April.
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    Cited by:

    1. Abeer F. Alkhwaldi, 2024. "Investigating the Social Sustainability of Immersive Virtual Technologies in Higher Educational Institutions: Students’ Perceptions toward Metaverse Technology," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    2. Viktoriia Prokhorova & Oleksandra Mrykhina & Orest Koleshchuk & Tetiana Demianenko, 2024. "Assessing the effectiveness of implementing immersive technologies within university sustainable development systems," Eastern-European Journal of Enterprise Technologies, PC TECHNOLOGY CENTER, vol. 5(13 (131)), pages 35-47, October.
    3. Afzal Badshah & Ghani Ur Rehman & Haleem Farman & Anwar Ghani & Shahid Sultan & Muhammad Zubair & Moustafa M. Nasralla, 2023. "Transforming Educational Institutions: Harnessing the Power of Internet of Things, Cloud, and Fog Computing," Future Internet, MDPI, vol. 15(11), pages 1-20, November.

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