Modeling Developer Response Strategies to Digital Wallet App Reviews: An Empirical Study in App Stores
DOI:
https://doi.org/10.59992/IJFAES.2026.v5n9p4Keywords:
Digital wallets, Mobile app reviews, Developer responses, Zain CashAbstract
This research is primarily concerned with analyzing online user reviews in order to uncover the empirical factors that shape developer responses within digital wallet applications. In particular, the study sets out to investigate how the subject matter of user reviews affects three things: whether developers choose to respond, what kind of response they give, and which core communication strategy they rely on. In doing so, it sheds light on post-adoption service recovery and on the interaction between users and developers in mobile financial services. The study drew on 720 user reviews of the ZainCash mobile application gathered from the Google Play Store. It combined content analysis with quantitative modeling. Review topics were framed drawing on the mobile banking literature, while response types and strategies were coded using established software engineering frameworks. Non-parametric Chi-Square tests of independence were used to assess the associations across categories, and a Binary Logistic Regression model was built to estimate the probability of a developer reply based on the review’s topic. Among the 720 reviews examined, developers responded to 71.53% of the overall feedback, with the majority of these replies (67.36%) taking the form of semi-interactive generic templates. A statistically significant association was found between review topics and response strategies (χ2 = 183.504, p < .001). In addition, the binary logistic regression model showed a significant overall fit (χ2= 34.821, p < .001). Technical problems and complaints proved to be the strongest predictor of a developer reply, raising the odds of a response by 7.361 times relative to positive praise (p = .001). This work contributes fresh insight into digital financial services by empirically modeling how developers behave when responding within app stores. The results point to a distinct “service recovery bias,” whereby developers give priority to technical and financial operational complaints over engaging with positive user praise, which carries practical implications for balancing automated coverage against personalized customer support.
References
- Albesher, A. S. (2023). Evaluating developer responses to app reviews: The case of mobile banking apps in Saudi Arabia and the United States. Sustainability, 15(8), Article 6701. https://doi.org/10.3390/su15086701
- Anwar, R. H., Hussain, S. R., & Raza, M. T. (2024). In wallet we trust: Bypassing the digital wallets payment security for free shopping. In 33rd USENIX Security Symposium (USENIX Security 24) (pp. 541–558).
- Azhari, N. A. (2021). Reasons of using digital wallet as payment method among society. Journal of Digital Finance, 12(4), 45–62.
- Bhuvaneswari, T. S., & Mani, S. (2023). Digital wallet development in India: A learning on consumers’ pleasure. Indian Journal of Financial Services, 15(2), 112–128.
- Çallı, L. (2023). Mobile banking adoption and service quality features through user-generated content: The application of a topic modeling approach to Google Play Store reviews. International Journal of Bank Marketing, 41(7), 1640–1663. https://doi.org/10.1108/IJBM-10-2022-0466
- Choudhary, R. K. (2025). Understanding the role of online reviews and ratings in consumer decision-making. International Scientific Journal of Engineering and Management, 4(6), 1–12. https://doi.org/10.55041/isjem04639
- Devathasan, K., Arony, N. N., Gama, K., & Licorish, S. A. (2024). Deciphering empathy in developer responses: A hybrid approach utilizing the perception action model and automated classification. Proceedings of the IEEE/ACM International Conference on Requirements Engineering, 1–10. https://doi.org/10.1109/rew61692.2024.00017
- Flavr Technology, LP. (2025). Instant Data Scraper (Version 1.6.0) [Chrome extension]. Chrome Web Store. https://chromewebstore.google.com
- Forbes Middle East. (2025). ZainCash Iraq — The Middle East's Fintech 50 2025. Retrieved August 15, 2026, from https://www.forbesmiddleeast.com/lists/the-middle-easts-fintech-50-2025/zaincash-iraq/
- Gan, Q., Cao, Q., & Jones, D. R. (2012). Helpfulness of online user reviews: More is less. Proceedings of the International Conference on Information Systems (ICIS 2012), 1–10.
- Garg, K. (2025). How has the introduction of digital financial products (e.g., mobile wallets, robo-advisors, fintech investment apps) altered portfolio preferences and savings rates in emerging markets? International Journal of Multidisciplinary Research, 7(5), 1–18.
- Garvita, G., Lodha, G., & Budania, P. (2025). Traditional e-wallets vs. crypto wallets: A comparative study of functionality and use cases. Journal of Digital Assets, 9(2), 78–95.
- George, A. S. (2024). Finance 4.0: The transformation of financial services in the digital age. Journal of Digital Finance, 5(2), 1–18.
- Graham, G. (2023). Why the world needs an open source digital wallet right now. Open Source Finance Journal, 9(2), 34–51.
- Greenheld, G., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Automating developers’ responses to app reviews. Proceedings of the Australasian Software Engineering Conference (ASWEC), 1–8.
- Grljević, O., Marić, M., & Božić, R. (2025). Exploring mobile application user experience through topic modeling. Sustainability, 17(3), Article 1109. https://doi.org/10.3390/su17031109
- Gupta, P., & Srivastava, S. (2026). Exploring customer attitude towards neo-banking apps: A thematic analysis using Google Play and Apple App Store reviews. Qualitative Research in Financial Markets, 18(4), 987–1013.
- Hassan, S., Tantithamthavorn, C., Bezemer, C.-P., & Hassan, A. E. (2018). Studying the dialogue between users and developers of free apps in the Google Play Store. Empirical Software Engineering, 23(3), 98–128. https://doi.org/10.1007/s10664-017-9538-9
- Hosmer, D. W., Jr., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). John Wiley & Sons.
- Jafari, M., Majidi, F., & Heydarnoori, A. (2025). Prioritizing app reviews for developer responses on Google Play. Journal of Software Engineering Research and Development, 13(1), 1–15. https://doi.org/10.21203/rs.3.rs-5983680/v1
- Jowarder, R. A. (2024). Navigating digital transformation in financial services: Strategic management concepts and cases for sustainable growth and innovation. World Journal of Advanced Engineering Technology and Sciences, 13(1), 1–12.
- Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). SAGE Publications.
- Landis, J. R., & Koch, G. G. (1977). An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics, 363-374.
- Levitin, A. J. Pandora’s Digital Box: The Promise and Perils of Digital Wallets’(2017). University of Pennsylvania Law Review, 166, 305.
- Licorish, S. A., Zolduoarrati, E., & Stanger, N. (2018). Linking user requests, developer responses and code changes: Android OS case study. Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 1–10.
- Makhotin, M. O., & Elhaoussine, M. M. (2020). Digital wallet application for mobile payment. International Journal of Advanced Research in Computer Science, 5(7), 1–8.
- Neuendorf, K. A. (2017). The content analysis guidebook (2nd ed.). SAGE Publications.
- Rajan, D. (2025). Fintech disruption of traditional banking services: A comprehensive analysis of digital transformation in the financial sector. International Journal for Multidisciplinary Research, 7(4), 1–15.
- Shetty, S., Amale, R. T., & Shetty, T. (2014). QR-Code based digital wallet. International Journal of Advanced Research in Computer Science, 10(1), 1–10.
- Siddiqui, A., Yadav, A., & Farhan, N. H. S. (2023). Digital transformation of financial services in the era of Fintech. In Handbook of Digital Finance (pp. 45–68). Wiley.
- Srisopha, K., Link, D., & Boehm, B. (2021). How should developers respond to app reviews? Features predicting the success of developer responses. Proceedings of the ACM/IEEE International Conference on Software Engineering (ICSE), 1–10. https://doi.org/10.1145/3463274.3463311
- Srisopha, K., Link, D., Swami, D., & Boehm, B. (2020a). Learning features that predict developer responses for iOS App Store reviews. Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 1–10. https://doi.org/10.1145/3382494.3410686
- Sutticherchart, J., & Rakthin, S. (2023). Determinants of digital wallet adoption and super app: A review and research model. Management & Marketing, 18(3), 215–232. https://doi.org/10.2478/mmcks-2023-0015
- Thottoli, M. M., Islam, M. A., Yusof, M. F. B., & Rahman, M. M. (2023). Embracing digital transformation in financial services: From past to future. SAGE Open, 13(4), 1–18. https://doi.org/10.1177/21582440231214590
- Varma, A. (2025). The impact of online customer reviews on purchase decisions. Indian Scientific Journal of Research in Engineering and Management, 9(6), 1–10. https://doi.org/10.55041/ijsrem50573
- Walther, M., Watson, S. J., Boden, A., & Stevens, G. (2025). A grounded theory of how consumers determine the veracity of online user reviews [Preprint]. OSF Preprints. https://doi.org/10.31219/osf.io/j64ye_v2
- Zaika, O. (2025). Digital transformation as a driver of financial sector development. International Science Journal of Management Economics & Finance, 4(1), 1–10.
- ZainCash. (n.d.). Who we are. Why are we here. Retrieved August 15, 2026, from https://zaincash.iq/about
- Zhou, W., & Duan, W. (2016). Do professional reviews affect online user choices through user reviews? An empirical study. Journal of Management Information Systems, 33(2), 17–34. https://doi.org/10.1080/07421222.2016.1172460
