Paper The following article is Open access

Extracting factors of Physical Activity Tracking Technology using Wordcloud and Relevancy Ranking

, , and

Published under licence by IOP Publishing Ltd
, , Citation Nittee Wanichavorapong et al 2019 J. Phys.: Conf. Ser. 1196 012015 DOI 10.1088/1742-6596/1196/1/012015

1742-6596/1196/1/012015

Abstract

In eHealth, physical activity (PA) tracking technology can assist people in monitoring their PAs. However, continuance usage is the cornerstone of PA product success; otherwise it is a failure. There is limited knowledge of IS continuance in this domain called PA tracking devices and apps with social media (PATT-SM). The purpose of this study is to analyze the factors that drive users to continue using PATT-SM. From literature, 33 prior studies were found to have included 315 variables in research. This study uses Wordcloud as to pinpoint which variables are to be highlighted. There are 19 variables in Wordcloud that received higher hits than others and these variables are ranked the importance based on experienced users. Then, the top ranks are used to form a model for further analysis on their impact on continuance intention (CI). The first 10 variables are Health Consciousness, Perceived Ease of Use, Privacy Concerns and Security, Habit, Perceived Value, Facilitating Conditions, Social Support, Price, Attitude, and Hedonic. The identified variables can be grouped as cognitive belief, value, social, and health related.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1742-6596/1196/1/012015