Modeling value co-creation in cloud-based mobile fintech services within the Islamic banking settings

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Type of the article: Research Article

Abstract
This study seeks to empirically evaluate the critical role of cybersecurity awareness and cloud computing capabilities in shaping value co-creation using cloud-based mobile fintech services of Islamic banks in Jordan from clients’ perspectives. By employing a quantitative methodology, 498 clients of Islamic banks completed the questionnaire for this study. The questionnaires were sent to clients who perform their financial activities by using cloud-based mobile fintech services from various Islamic banks in Jordan. Based on Structural Equation Model (SEM) analysis, the results uncover that social engineering threats, password security, and social factors have a significant direct effect on cybersecurity awareness among customers of cloud-based mobile fintech services of Islamic banks in Jordan at a significant value level (P < .05, .01, and .001). The findings also confirm that cybersecurity awareness asserts a positive direct influence on both cloud-computing capabilities and value co-creation among customers of cloud-based mobile fintech services of Islamic banks in Jordan (P < .001). Finally, cloud-computing capabilities have a significant direct influence on value co-creation among customers of cloud-based mobile fintech services of Islamic banks in Jordan (P < .001). The results of the developed model of this study could be used to enhance the financial services of Jordanian Islamic banks, assist in producing new services, reinforce the development process of cloud-based mobile fintech services, and aid in developing cybersecurity awareness algorithms in this field.

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    • Figure 1. Conceptualized model of this study
    • Figure 2. Full SEM results of the developed model within the framework of this study
    • Table 1. Profile of respondents to this study
    • Table 2. Summary of model fit construct assessment results
    • Table 3. Summary of CFA measurement results
    • Table 4. Computed results of discriminant validity
    • Table 5. Full estimated results of the present study
    • Table A1. Full constructs’ items
    • Conceptualization
      Hasan Alhanatleh, Amineh Khaddam
    • Data curation
      Hasan Alhanatleh, Amineh Khaddam
    • Formal Analysis
      Hasan Alhanatleh
    • Funding acquisition
      Hasan Alhanatleh, Amineh Khaddam
    • Investigation
      Hasan Alhanatleh, Amineh Khaddam
    • Methodology
      Hasan Alhanatleh, Amineh Khaddam
    • Project administration
      Hasan Alhanatleh, Amineh Khaddam
    • Resources
      Hasan Alhanatleh, Amineh Khaddam
    • Software
      Hasan Alhanatleh, Amineh Khaddam
    • Supervision
      Hasan Alhanatleh
    • Validation
      Hasan Alhanatleh
    • Visualization
      Hasan Alhanatleh, Amineh Khaddam
    • Writing – original draft
      Hasan Alhanatleh, Amineh Khaddam
    • Writing – review & editing
      Hasan Alhanatleh, Amineh Khaddam