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A systematic review of intention to use fitness apps (2020–2023)

Author

Listed:
  • Salvador Angosto

    (University of Murcia
    Universidad de Sevilla)

  • Jerónimo García-Fernández

    (Universidad de Sevilla)

  • Moisés Grimaldi-Puyana

    (Universidad de Sevilla)

Abstract

Technology advances and digital transformation are constantly growing, resulting in an increase in the number of sports-related technologies and apps on the market, particularly during the COVID-19 pandemic. The aim of this study is to update a comprehensive evaluation of the literature published since 2020 on the desire to use and embrace fitness and physical activity-related apps. Using the PERSiST adapted from the PRISMA 2020 statement, a total of 29 articles that provide assessment models of sports consumers’ desires to utilise fitness applications were discovered. Several major conclusions emerge from the findings: (1) the use of alternative models to the Technology Acceptance Model has increased in recent years with new theories not derived from that model now being associated with it; (2) studies in Europe are increasing as well as a specifical interest in fitness apps; (3) the UTAUT and UTAUT2 model are more widely used within the sport sector and new models appear connected with behaviour intentions; and (4) the number of exogenous and endogenous variables that are linked to the main technology acceptance variables and their behavioral intentions is diverse within the academic literature. These findings could help technology managers to increase user communication, physical activity levels and participation in their fitness centres, as well as to modify the policies and services of sports organisations.

Suggested Citation

  • Salvador Angosto & Jerónimo García-Fernández & Moisés Grimaldi-Puyana, 2023. "A systematic review of intention to use fitness apps (2020–2023)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02011-3
    DOI: 10.1057/s41599-023-02011-3
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    References listed on IDEAS

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    1. Chao Wang & Gencheng Wu & Xinyi Zhou & Yiman Lv, 2022. "An Empirical Study of the Factors Influencing User Behavior of Fitness Software in College Students Based on UTAUT," Sustainability, MDPI, vol. 14(15), pages 1-12, August.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Hyun Byun & Weisheng Chiu & Jung-sup Bae, 2018. "Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 9(1), pages 52-65, January.
    4. Jacqueline Ruth & Steffen Willwacher & Oliver Korn, 2022. "Acceptance of Digital Sports: A Study Showing the Rising Acceptance of Digital Health Activities Due to the SARS-CoV-19 Pandemic," IJERPH, MDPI, vol. 19(1), pages 1-16, January.
    5. Salvador Angosto & Jerónimo García-Fernández & Irena Valantine & Moisés Grimaldi-Puyana, 2020. "The Intention to Use Fitness and Physical Activity Apps: A Systematic Review," Sustainability, MDPI, vol. 12(16), pages 1-25, August.
    6. Paul Jones & Vanessa Ratten & Ted Hayduk, 2020. "Sport, fitness, and lifestyle entrepreneurship," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 783-793, September.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. Phaik Khee Beh & Yuvaraj Ganesan & Mohammad Iranmanesh & Behzad Foroughi, 2021. "Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(3), pages 282-299, February.
    9. Peng Gu & Hao Zhang & Zeheng Liang & Dazhi Zhang, 2022. "Impact of Public Risk Perception in China on the Intention to Use Sports APPs during COVID-19 Pandemic," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    10. Anna Vinnikova & Liangdong Lu & Jiuchang Wei & Guangbao Fang & Jing Yan, 2020. "The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    11. Hyeongjin Ahn & Eunil Park, 2023. "Motivations for user satisfaction of mobile fitness applications: An analysis of user experience based on online review comments," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-7, December.
    12. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    13. Jerónimo García-Fernández & Pablo Gálvez-Ruiz & Moisés Grimaldi-Puyana & Salvador Angosto & Jesús Fernández-Gavira & M. Rocío Bohórquez, 2020. "The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    14. Javier Perez-Aranda & Eva M. González Robles & Pilar Alarcón Urbistondo, 2021. "Sport-related physical activity in tourism: an analysis of antecedents of sport based applications use," Information Technology & Tourism, Springer, vol. 23(1), pages 97-120, March.
    15. Cho, Heetae & Chi, Christina & Chiu, Weisheng, 2020. "Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model," Technology in Society, Elsevier, vol. 63(C).
    16. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    17. Perez-Aranda, Javier & González Robles, Eva M. & Alarcón Urbistondo, Pilar, 2023. "Understanding antecedents of continuance and revisit intentions: The case of sport apps," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
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