Gupta, B B, Kumar, Aman, Shankar, Amit, Behl, Abhishek and Mavuri, Sudha (2023) Lights, Camera, Metaverse! Eliciting Intention to Use Industrial Metaverse, Organizational Agility, and Firm Performance. Journal of Global Information Management, 31 (8). pp. 1-20. ISSN 1062-7375
article/333169 - Published Version
Download (42kB)
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.
Affiliation: | Skyline University College |
---|---|
SUC Author(s): | Gupta, B B |
All Author(s): | Gupta, B B, Kumar, Aman, Shankar, Amit, Behl, Abhishek and Mavuri, Sudha |
Item Type: | Article |
Uncontrolled Keywords: | Enterprise Metaverse, Firm Performance, Industrial Metaverse, Organizational Agility, UTAUT |
Subjects: | A Business and Management > AF Entrepreneurship A Business and Management > AN Information Technology and Economy A Business and Management > AT Organization Behavior |
Divisions: | Skyline University College > School of Business |
Depositing User: | Mr Mosys Team |
Date Deposited: | 29 Jan 2024 08:01 |
Last Modified: | 29 Jan 2024 08:01 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/814 |
Publisher URL: | https://doi.org/10.4018/JGIM.333169 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/17970 |
Related URLs: |
|
Actions (login required)
Statistics for this ePrint Item |