Impact of Customer Trust on Digital Wallet Adoption: Examining the Role of Big Data Analytics Capability in Pakistan
DOI:
https://doi.org/10.63544/ijss.v5i3.311Keywords:
Digital Wallet Adoption, Customer Trust, Big Data Analytics Capability, FinTech, Technology Acceptance Model, Resource-Based View, PakistanAbstract
The rapid evolution of financial technology has ushered in a transformative era for digital wallet adoption globally, with Pakistan emerging as a significant market for digital financial inclusion. While customer trust is empirically recognized as a fundamental driver of digital finance adoption, the technological conditions that amplify this relationship remain inadequately understood. This study addresses this gap by examining how Big Data Analytics Capability (BDAC) moderates the relationship between customer trust and digital wallet adoption, drawing upon the Technology Acceptance Model (TAM) and Resource-Based View (RBV) theoretical frameworks. Employing a quantitative research design, data were collected from 182 active users of Easypaisa, JazzCash, and Nayapay in Pakistan through a structured questionnaire. The findings reveal that customer trust significantly and positively influences digital wallet adoption (β = 0.610, p < .001), and BDAC demonstrates a strong direct relationship with adoption (β = 0.604, p < .001). However, contrary to expectations, BDAC did not exhibit a statistically significant moderating effect on the trust-adoption relationship (β = 0.066, p = .192), suggesting that in Pakistan's nascent digital financial ecosystem, trust and organizational analytics capabilities operate as independent drivers rather than synergistic forces. The study contributes theoretically by extending TAM to incorporate trust and organizational capability dimensions within a developing economy context. Practically, the findings underscore the imperative for FinTech operators to invest simultaneously in trust-building mechanisms and robust analytical infrastructure, while policymakers are encouraged to develop regulatory frameworks that balance innovation with consumer protection. This research advances understanding of digital financial services adoption in emerging markets and provides actionable insights for stakeholders seeking to accelerate Pakistan's digital economy transformation.
References
Ahmed, S., & Asif, M. (2026). The impact of hybrid working on employee well-being with the moderating role of organizational performance: A case study of IT sector in Pakistan. Qualitative Research Journal for Social Studies, 3(2), 1006–1030. https://doi.org/10.63878/qrjs1173
Akter, S., & Wamba, S. F. (2016). Big data analytics in e-commerce: A systematic review and agenda for future research. Electronic Markets, 26(2), 173–194. https://doi.org/10.1007/s12525-016-0219-0
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.003
Hasan, S. T. (2024). AI Powered Early Warning Systems for Healthcare Worker Burnout in New York City: Predictive Modeling of Absenteeism, Turnover, and Scheduling Burden. Journal of Computational Systems & Engineering Insights, 2(02), 01-14.
Hossein, A. (2024). Enhancing Business Performance through Artificial Intelligence and Analytics: Evidence from US Organizations. Journal of Computational Systems & Engineering Insights, 2(01), 01-10.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001
Malik, M., Khan, L., Maqbool, H. N., & Anwar, M. (2025). Mobile wallets and digital payments: Assessing the impact on financial inclusion and consumer trust in Pakistan. Review of Applied Management and Social Sciences (RAMSS), 8(3), 1349–1362.
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.5465/amr.1995.9508080335
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom. Information Systems Journal, 25(3), 229–253. https://doi.org/10.1111/isj.12072
Ullah, A. (2026). Social Media Integration for Modern Library and Information Service Promotion. Journal of Digital Scholarship in Archives and Information, 2(1), 37-51.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034
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Copyright (c) 2026 M. Shahwaiz Masood, Ishtiaq Ahmed, Zunaira Masood, M Ibrahim Haider , Awais Fayyaz Abbasi

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