Analytics for measuring library use and satisfaction of mobile apps. Issue 4 (28th June 2021)

• Record Type: Journal Article
• Authors: Kaur, Simran; Chakravarty, Rupak
• Is Part Of: Library hi tech news. Volume 38:Issue 4(2021)
• Page Start: 10
• Page End: 12
• Publication Date: 2021-06-28
• Subjects: Mendeley -- Mobile apps -- Analytics -- Appbot -- Artificial intelligence -- Smartphone -- Android -- iOS; Library science -- Technological innovations -- Periodicals; Libraries -- Automation -- Periodicals; 025.020285
• DOI: 10.1108/LHTN-04-2021-0014
• Languages: English
• ISSNs: 0741-9058

Abstract

Abstract : Purpose: User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for downloaded apps on these sites in the form of star ratings and text reviews. Apps can contain huge volumes of feedback, making it difficult for the user and the developer to skim through thousands of such reviews to get an insight into usage and impact of such apps. Thus, the current study aims to assess the usage and satisfaction among users of the Mendeley's Android app vs iOS app. Design/methodology/approach: The analytics are performed by using Appbot analytics software which captured, monitored, measured and analyzed the review results for a particular period. Appbot provides easy-to-understand insights of an app using artificial intelligence algorithm tools. Findings: The findings of the study reveal strong inclination, adoption and usage of Mendeley's Android app compared to that of iOS among users. Originality/value: The value of this research is in getting an insight of the pattern/behavior of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. Without mobile app analytics, one will be blindly trying out different things without any evidence to back up their experiments.