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Apps, Apps, and More Apps: Motivations and User Behaviours

Apps, Apps, and More Apps: Motivations and User Behaviours

Matthew J. Haught, Ran Wei, Jack V. Karlis
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 14
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781466689909|DOI: 10.4018/IJMCMC.2016010101
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MLA

Haught, Matthew J., et al. "Apps, Apps, and More Apps: Motivations and User Behaviours." IJMCMC vol.7, no.1 2016: pp.1-14. http://doi.org/10.4018/IJMCMC.2016010101

APA

Haught, M. J., Wei, R., & Karlis, J. V. (2016). Apps, Apps, and More Apps: Motivations and User Behaviours. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 7(1), 1-14. http://doi.org/10.4018/IJMCMC.2016010101

Chicago

Haught, Matthew J., Ran Wei, and Jack V. Karlis. "Apps, Apps, and More Apps: Motivations and User Behaviours," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 7, no.1: 1-14. http://doi.org/10.4018/IJMCMC.2016010101

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Abstract

This paper explores the reasons millions of people use stand-alone, task-oriented software programs designed for use on mobile devices, commonly known as “apps.” This study uses a survey with a probability sample of 576 app users. Consistent with the uses and gratifications approach, respondents were asked about their attitudes, interests, and opinions regarding apps. Theses measures were reduced to five factors. Then, regression analyses considered the factors as well as app use statistics and demographics to predict app use. The motivations of entertainment, convenience, and instrumentality are consistent with previously studied gratifications of the Internet and the mobile phone. However, the constant availability gratification for apps is unique because they provide quick access to information anytime and anywhere. Regression analysis showed these motivations predicted patterns of app use.

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