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Analytics for measuring library use and satisfaction of mobile apps

Analytics for measuring library use and satisfaction of mobile apps 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/approachThe 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.FindingsThe findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users.Originality/valueThe 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Library Hi Tech News Emerald Publishing

Analytics for measuring library use and satisfaction of mobile apps

Kaur, Simran; Chakravarty, Rupak
Library Hi Tech News , Volume 38 (4): 3 – Nov 19, 2021
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References (10)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0741-9058
eISSN
0741-9058
DOI
10.1108/lhtn-04-2021-0014
Publisher site
See Article on Publisher Site

Abstract

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/approachThe 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.FindingsThe findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users.Originality/valueThe 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.

Journal

Library Hi Tech News – Emerald Publishing

Published: Nov 19, 2021

Keywords: Mendeley; Mobile apps; Analytics; Appbot; Artificial intelligence; Smartphone; Android; iOS

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