The purpose of this paper was to investigate the ratings of mobile apps in the banking industry for the sake of mobile development practices. We consulted a list of the top 50 riches banks registered with the U.S. Federal Deposit Insurance Corp. (FDIC). We collected ratings of the sample's mobile apps int the iTune Store in 2012, 2016, and 2018. Linear regression with Generalized Estimating Equations (GEE) was used in data analysis. The findings from this study can help banks visit their mobile app development practices to understand user needs. Furthermore, managers can use the findings to assess their mobile app development strategies. This can help banks save effort, time, and money in their development projects.
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Ali et al. (2019) studied this question.
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