Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model

被引:57
|
作者
Cho, Heetae [1 ]
Chi, Christina [2 ,3 ]
Chiu, Weisheng [4 ]
机构
[1] Nanyang Technol Univ, Dept Phys Educ & Sports Sci, Singapore 637616, Singapore
[2] Univ Johannesburg, Washington State Univ, Sch Hospitality Business Management, Carson Coll Business, Johannesburg, South Africa
[3] Univ Johannesburg, Sch Tourism & Hospitality, Johannesburg, South Africa
[4] Open Univ Hong Kong, Lee Shau Kee Sch Business & Adm, Hong Kong, Peoples R China
关键词
Technology acceptance model; Investment model; Health and fitness apps; Decision-making process; User perception; CONSUMER-BRAND RELATIONSHIPS; EXPECTATION-CONFIRMATION MODEL; POST-ADOPTION BELIEFS; PERCEIVED USEFULNESS; SMARTPHONE APPLICATIONS; CUSTOMER SATISFACTION; BEHAVIORAL INTENTION; UNIVERSITY-STUDENTS; DECISION-MAKING; COMMITMENT;
D O I
10.1016/j.techsoc.2020.101429
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
With the increasing popularity and adoption of health/fitness apps, more research attention is needed to examine users' behavior in order to promote sustained usage of the apps. The purpose of this study is to understand health and fitness app users' decision-making process by integrating the Technology Acceptance Model (TAM) and the Investment Model (IM). Three hundred forty-six responses were collected from health and fitness app users in China. A confirmatory factor analysis and a structural equation modeling analysis were conducted. Results show that continuance intention to use the apps is significantly affected by constructs included in the two models. Specifically, perceived ease of use of the apps has a positive effect on perceived usefulness, which further affects users' intention to continue using the apps. In addition, perceived usefulness and perceived ease of use of the apps have significant effects on users' satisfaction, investment size, and quality of available alternatives, and these three constructs affect users' relationship commitment to the apps, which, in turn, influences users' continuing intention. The integrated model provides new insights into the app users' decision-making process and suggests practical implications for app providers, such as developing strategies to evoke and maintain users' interest in their apps, keeping users satisfied by personalizing their experience, and designing features that keep users invested in the apps.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
    Kaili Lu
    Feng Pang
    Rustam Shadiev
    Education and Information Technologies, 2023, 28 : 9747 - 9765
  • [22] Understanding college students' continuous usage intention of asynchronous online courses through extended technology acceptance model
    Lu, Kaili
    Pang, Feng
    Shadiev, Rustam
    EDUCATION AND INFORMATION TECHNOLOGIES, 2023, 28 (08) : 9747 - 9765
  • [23] Understanding the Adoption and Usage Behaviors of Popular and Emerging Metaverse Platforms: A Study Based on the Extended Technology Acceptance Model
    Pan, Shuya
    Jung, Soyoung
    Suo, Shixin
    JOURNAL OF BROADCASTING & ELECTRONIC MEDIA, 2023, 67 (04) : 574 - 595
  • [24] Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model
    Park, Namkee
    Rhoads, Mohja
    Hou, Jinghui
    Lee, Kwan Min
    Computers in Human Behavior, 2014, 39 : 118 - 127
  • [25] Understanding the acceptance of teleconferencing systems among employees: An extension of the technology acceptance model
    Park, Namkee
    Rhoads, Mohja
    Hou, Jinghui
    Lee, Kwan Min
    COMPUTERS IN HUMAN BEHAVIOR, 2014, 39 : 118 - 127
  • [27] Understanding Recruiters' Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model
    Almeida, Filomena
    Silva, Ana Junca
    Lopes, Sara L.
    Braz, Isabel
    APPLIED SCIENCES-BASEL, 2025, 15 (02):
  • [28] Adoption of Wearable Fitness Devices: Can Technology Acceptance Model Predict?
    Zhang, Jing
    Li, Dashuai
    Vijayan, Karthikeyan Muthu
    Vitek, Clementine
    Wang, ChuanJen
    Mao, En
    PROCEEDINGS OF 2016 CHINA MARKETING INTERNATIONAL CONFERENCE: MARKETING THEORY AND PRACTICE IN MOBILE INTERNET, 2016, : 400 - 401
  • [29] FARMERS' INFORMATION USAGE INTENTION IN CHINA BASED ON THE TECHNOLOGY ACCEPTANCE MODEL
    Zhang, Jingjing
    Zhang, Xiaoshuan
    Mu, Weisong
    Zhang, Jian
    Fu, Zetian
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE II, VOLUME 3, 2009, : 1845 - 1853
  • [30] Usage Intention of the Internet of Vehicles: A Study Based on the Technology Acceptance Model
    Xie, Weiyi
    Huang, Xiaoyu
    Xu, Xiaomin
    Chan, Delphine Ya-Chu
    4TH INTERNATIONAL CONFERENCE ON E-COMMERCE, E-BUSINESS AND E-GOVERNMENT, ICEEG 2020, 2020, : 118 - 123