What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status
A Cross-Sectional Study
Bibliographic Data
| ID | 13776276 |
|---|---|
| Authors | Byongjin Kim (0000-0002-0832-4021, Korea Advanced Institute of Science and Technology), Euehun Lee (0000-0002-5164-0564, Korea Advanced Institute of Science and Technology, corresponding author) |
| Year | 2022 |
| Volume | 59 |
| Pages | 469580221095826-469580221095826 |
| Publication date | 2022-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | INQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL) |
| Journal identifiers | ISSN: 0046-9580 • E-ISSN: 1945-7243 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/00469580221095826 |
| PMID | 35580021 |
| OpenAlex | W4280513958 |
| Language | EN |
| Citations received | 5 |
| References cited | 71 |
This study provides the following implications for health researchers, fitness application designers, and marketers. When trying to use fitness application, values such as performance expectancy, effort expectancy, hedonic motivation, and perceived privacy protection should be emphasized. In particular, for users with chronic diseases, the performance expectancy of fitness apps is more critical than any other factor
Affect (linguistics · Cross-sectional study · Communication · Digital Marketing and Social Media · Impact of Technology on Adolescents · Medicine · Psychology · Social Psychology · Technology Adoption and User Behaviour
Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age
Segmentation of fitness users based on health consciousness
What Shapes Health App Use and Its Outcomes in Emerging Adults? The Cognitive Appraisals and Motivational Orientation Model
Antecedents and Outcomes of Masstige Value
Influence of Customer Knowledge Management on Mobile Fitness Application Customer Value Cocreation Through Flow Experience and Customer Involvement
A Longitudinal Investigation of Personal Computers in Homes
Marketing in Hypermedia Computer-Mediated Environments
Method Variance and Marker Variables
User acceptance of information technology
Multicollinearity
Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App
Gamification for health and wellbeing
Determinants of Perceived Ease of Use
Lack of Exercise Is a Major Cause of Chronic Diseases
Exploring the influential factors of continuance intention to use mobile Apps
The effect of gamification on motivation and engagement
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
The Impact of mHealth Interventions
Keep Using My Health Apps
Toward an understanding of the behavioral intention to use mobile banking
Unusual purchasing behavior during the early stages of the Covid-19 pandemic
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
A Theoretical Extension of the Technology Acceptance Model
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
MHealth App recommendation based on the prediction of suitable behavior change techniques
The Health Belief Model and Sick Role Behavior
An Empirical Study of Chronic Diseases in the United States
Default effects in app selection
The moderator–mediator variable distinction in social psychological research
The moderator-mediator variable distinction in social psychological research
| Citations per year | 1.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |