Welcome to the InfoSci Platform
Mobile Apps Acceptability: A Meta-Analysis Model for Google Play

Mobile Apps Acceptability: A Meta-Analysis Model for Google Play

Usman Shehzaib, Javed Ferzund, Muhammad Asif
Copyright: © 2018 |Volume: 13 |Issue: 4 |Pages: 13
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781522542971|DOI: 10.4018/IJITWE.2018100101
Cite Article Cite Article

MLA

Shehzaib, Usman, et al. "Mobile Apps Acceptability: A Meta-Analysis Model for Google Play." IJITWE vol.13, no.4 2018: pp.1-13. http://doi.org/10.4018/IJITWE.2018100101

APA

Shehzaib, U., Ferzund, J., & Asif, M. (2018). Mobile Apps Acceptability: A Meta-Analysis Model for Google Play. International Journal of Information Technology and Web Engineering (IJITWE), 13(4), 1-13. http://doi.org/10.4018/IJITWE.2018100101

Chicago

Shehzaib, Usman, Javed Ferzund, and Muhammad Asif. "Mobile Apps Acceptability: A Meta-Analysis Model for Google Play," International Journal of Information Technology and Web Engineering (IJITWE) 13, no.4: 1-13. http://doi.org/10.4018/IJITWE.2018100101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article describes how the mobile app market is growing day by day. Mobile app stores have created the opportunity for the users to publicly provide feedback on mobile apps that they have installed or used. In this way, users are involved in the design and development of mobile apps, which was done by designers and developers before. Online user reviews are a useful source to know the user's perception about mobile apps and thus provide a way of co-value creation. This article is conducted to investigate the factors affecting the acceptability of mobile Apps. Main purpose of this article is to use online reviews for construction of a model instead of using existing acceptance theories. The model proposed in this research is based on the analysis of reviews and app information extracted from the Google Play Store. The ratings and number of installs are two key indicators of the popularity of an app. Other characteristics like price, category and size also influence the user's selection of an app. The findings showed the appropriateness of the proposed model and hypotheses for evaluating mobile apps acceptability and popularity. This article provides mobile app developers and marketers with an insight into the mobile app popularity and acceptability dynamics.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.