Measuring factors affecting consumer attitudes toward metaverse adoption: Islamic banking services setting

Adopting metaverse technology in the banking sector is generating considerable interest. Investigating customers’ behavior is considered a primary element in adopting metaverse technologies in banking settings. This study combines the Trust Theoretic Model, Task-Technology Fit Model, and theory of planned behavior to explore consumers’ intentions to adopt metaverse Islamic mobile banking services in Jordan. Based on the Structural Equation Modeling (SEM) approach, the results using an electronic survey of 391 metaverse consumers among metaverse Islamic mobile banking services show that consumer trust based on its priors (perceived risk, perceived reputation, service quality, and perceived regulatory support) has a significant influence on consumer behavior intention at a significant P-value level (< 0.001). Furthermore, the results affirm that Task-Technology Fit plays a significant role in consumer behavior intention at a significant P-value level (< 0.001). Moreover, consumer behavior intention has a significant influence on consumers’ decision to adopt metaverse Islamic mobile banking services in Jordan at a significant P-value level (< 0.001). The findings of this study present critical insights for Islamic bank management in Jordan, assisting in developing their metaverse Islamic mobile banking, maintaining a strong relationship with consumers, and fostering consumer experiences. This study highlights the significance of adopting metaverse technologies in Islamic mobile banking services.