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

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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.

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    • Figure 1. Conceptual model of the study
    • Table 1. Demographic profile of respondents
    • Table 2. Model fit assessment results
    • Table 3. Convergent validity and construct reliability outcomes
    • Table 4. Discriminant validity outcomes
    • Table 5. Results of squared multiple correlations (R2)
    • Table 6. SEM results of hypotheses regarding this study model
    • Conceptualization
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Data curation
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Formal Analysis
      Hasan Alhanatleh
    • Funding acquisition
      Hasan Alhanatleh
    • Investigation
      Hasan Alhanatleh, Amro Alzghoul
    • Methodology
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Project administration
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Resources
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Software
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Supervision
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Validation
      Hasan Alhanatleh, Amineh Khaddam
    • Visualization
      Hasan Alhanatleh, Amineh Khaddam
    • Writing – original draft
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul
    • Writing – review & editing
      Hasan Alhanatleh, Amineh Khaddam, Amro Alzghoul