Investigating the Impact of Metaverse Characteristics on User Behavior through the Combination of PLS-SEM and NCA within the Extended Value-Based Adoption Model

Abstract

The present study employed the extended value-based adoption model to examine the determinants that influence users" intention to utilize the Metaverse. The determinants impacting users" intention to adopt the Metaverse were identified as technical attributes (seamlessness, concurrence, telepresence, interoperability and economy flow) and personal characteristics (self-efficacy and social influence). For this purpose, the data obtained from 327 people was analyzed using SPSS 22 and Smart PLS 4. The results showed that perceived usefulness and perceived enjoyment were found to have a positive influence on perceived value. Meanwhile, technicality and perceived fee did not have a statistically significant negative effect on perceived value. Among the Metaverse characteristics, telepresence, interoperability, concurrence and economy flow were found to have a positive influence on perceived usefulness, and telepresence, interoperability and concurrence were found to have a positive influence on perceived enjoyment. Meanwhile, the NCA results indicate that telepresence, interoperability, and concurrence are necessary conditions for perceived usefulness, while concurrence is the only necessary condition for perceived enjoyment. In addition, we found that social influence and self-efficacy had a positive influence on intention to use the Metaverse. This study is significant in that it empirically analyzes the drivers of user acceptance of the Metaverse.