Modeling value co-creation in cloud-based mobile fintech services within the Islamic banking settings
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DOIhttp://dx.doi.org/10.21511/bbs.20(4).2025.06
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Article InfoVolume 20 2025, Issue #4, pp. 60-75
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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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JEL Classification (Paper profile tab)D46, D53, O14, G2, E5
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References75
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Tables6
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Figures2
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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
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- 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
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