Software industry is turning toward endorsing application (app, in short) development due to the ubiquitous use and interest in this computing pattern. Increasing trend and popularity of mobile apps reveal several issues for the developers to address. Absence of a scientific developmental approach adds further issues to the apps development. There are millions of daily downloads, use and views on mobile apps, which give rise to an interesting phenomenon of apps acceptance by the user community. It is significant to note that users tend to reject or dislike apps that present challenges, owing to the issues in the apps, to them. Therefore, it is imperative to know the different issues that affect mobile ratings. In this paper, we have identified 14 issues by reviewing the relevant literature and collected the data from numerous mobile app stores to find the influence of the identified issues on mobile app ratings. Further, an interpretive structure modeling (ISM) approach is used to categorize the identified issues into four groups — dependent, driving, linkage and autonomous — for better understanding and further analysis. There are two objectives of this research paper: (1) to identify issues in apps which affect ratings and (2) to find out mutual relationship between dominating issues in mobile apps.