Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China-Reference-Cited by-同舟云学术

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Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China

Published:2020-02-10 Issue:8 Volume:36 Page:950-961
ISSN:1041-0236
Container-title:Health Communication
language:en
Short-container-title:Health Communication

Author:

Wei Jiuchang¹,Vinnikova Anna¹,Lu Liangdong²,Xu Jia¹

Affiliation:

1. School of Management, University of Science and Technology of China

2. School of Public Affairs, University of Science and Technology of China

Funder

Boohee Health Sciences Research Center

National Natural Science Foundation of China

"New Humanity Science" Program of University Science and Technonlogy of China

Publisher

Informa UK Limited

Subject

Communication,Health(social science)

Link

https://www.tandfonline.com/doi/pdf/10.1080/10410236.2020.1724637

Reference66 articles.

1. Specious reward: A behavioral theory of impulsiveness and impulse control.

2. Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior1

3. What Overweight Women Want From a Weight Loss App: A Qualitative Study on Arabic Women

4. Evaluation of auditor decisions: Hindsight bias effects and the expectation gap

5. The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to Be Profiled Online for Personalization

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1. Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN;Journal of Retailing and Consumer Services;2024-11

2. Qualified fitness trainers practice scientifically based judgement in prescribing exercise programs;Psychology of Sport and Exercise;2024-09

3. Run for the group: Examining the effects of group-level social interaction features of fitness apps on exercise participation;Decision Support Systems;2024-09

4. A comprehensive examination of factors influencing intention to continue usage of health and fitness apps: a two-stage hybrid SEM-ML analysis;Cogent Business & Management;2024-08-19

5. Impact of artificial intelligence-enabled service quality on user consumption value and continuous intention to use mobile fitness applications: Evidence from China;Information Development;2024-08-07

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