Aman Kumar
Lights, Camera, Metaverse!
Kumar, Aman; Shankar, Amit; Behl, Abhishek; Gupta, Brij B.; Mavuri, Sudha
Abstract
This study investigates organizations' intention to use the industrial metaverse. The unified theory of acceptance and use of technology (UTAUT) is used as an underpinning theory to examine the impact of performance expectancy, effort expectancy, social influence, and facilitation condition on the intention to use the industrial metaverse. The results of this study reveal that performance expectancy, social influence, and facilitating conditions significantly influence the intention to use the industrial metaverse. Moreover, the intention to use the industrial metaverse significantly influences organizational agility and firm performance. Further, the results of moderation hypotheses indicate that the impact of both performance expectancy and social influence on intention to use the industrial metaverse varies at high and low levels of firm innovativeness. The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of industrial metaverse adoption from a B2B perspective using the underpinnings of UTAUT. The study helps organizations understand the enablers of industrial metaverse usage intention.
Citation
Kumar, A., Shankar, A., Behl, A., Gupta, B. B., & Mavuri, S. (2023). Lights, Camera, Metaverse!. Journal of Global Information Management, 31(8), 1-20. https://doi.org/10.4018/JGIM.333169
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 7, 2023 |
Publication Date | Nov 7, 2023 |
Deposit Date | Jul 2, 2024 |
Journal | Journal of Global Information Management |
Print ISSN | 1062-7375 |
Publisher | IGI Global |
Peer Reviewed | Peer Reviewed |
Volume | 31 |
Issue | 8 |
Pages | 1-20 |
DOI | https://doi.org/10.4018/JGIM.333169 |
Public URL | https://keele-repository.worktribe.com/output/855893 |
Publisher URL | https://www.igi-global.com/gateway/article/333169 |
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