Affiliation:
1. Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Hofuf 31982, Saudi Arabia
Abstract
Application stores (app stores) enable developers to interact with users by responding to their reviews. Many developers continuously monitor user reviews and seek to respond to them effectively and efficiently to boost user satisfaction, which in the end increases the app’s rating. Thus, it is essential to study developer responses and how to improve them. This research was aimed at evaluating developer responses to user reviews in both the Apple App Store and Google Play Store in the banking domain. Ten Saudi and ten United States (U.S.) bank apps were selected from each store as the sample. Quantitative and qualitative approaches were employed to code and categorize developer responses for each app using content analysis. The study found that developers’ responses can be divided into three types of interaction: interactive response, semi-interactive response, and no response. A main finding is that responses by U.S. bank app developers outperformed those by Saudi bank app developers in terms of the number and quality of responses. This research provides valuable recommendations for users, developers, and app stores to enhance user–developer interaction.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference48 articles.
1. (2022, April 05). Number of Mobile App Downloads Worldwide from 2016 to 2021 (In Billions). In Statista—The Statistics Portal. Available online: https://www.statista.com/statistics/271644/worldwide-free-and-paid-mobile-app-store-downloads/.
2. Li, X., Zhang, B., Zhang, Z., and Stefanidis, K. (2020). A Sentiment-Statistical Approach for Identifying Problematic Mobile App Updates Based on User Reviews. Information, 11.
3. Analysing App Reviews for Software Engineering: A Systematic Literature Review;Letier;Empir. Softw. Eng.,2022
4. Gao, C., Zeng, J., Xia, X., Lo, D., Lyu, M.R., and King, I. (2019, January 11–15). Automating App Review Response Generation. Proceedings of the 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), San Diego, CA, USA.
5. Studying the Dialogue between Users and Developers of Free Apps in the Google Play Store;Hassan;Empir. Softw. Eng.,2018
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