IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i17p9015-d622794.html
   My bibliography  Save this article

Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?

Author

Listed:
  • Chia-Chien Hsu

    (Department of Tourism, Shih Hsin University, Taipei City 116, Taiwan)

  • Brian Sandford

    (School of Construction, Pittsburg State University, Pittsburg, KS 66762, USA)

  • Chia-Ju Ling

    (Ph.D. Program in Management, Dayeh University, Changhua 51591, Taiwan)

  • Ching-Torng Lin

    (Department of Information Management, Dayeh University, Changhua 51591, Taiwan)

Abstract

Promoting successful aging strategies through well-reasoned caregiving programs is, and should be, one of the main objectives of many government policies and their implementing agencies. Well-being has been considered an important indicator of successful aging. Leisure is a key life domain and a core ingredient for overall well-being. Yet, within well-being research, few studies have made the connection between leisure participation as accepted behavior and subjective well-being in senior citizens. This study proposed to examine the applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) in explaining senior citizens’ decision-making processes in terms of leisure participation behavior and the effect of such behavioral engagement on subjective well-being. The respondents were senior citizens in Taiwan who played gateball and were aged 60 years or older. A total of 595 usable responses were obtained and used to answer the research question. The empirical results indicate that performance expectancy, social influence, and facilitating conditions are positively and significantly related to senior citizens’ gateball participation behavior. In addition, gateball participation behavior had a positive and significant effect on respondents’ subjective well-being. The results of this study not only extend the application of UTAUT in terms of participation behavior in leisure activities, but also can provide gateball associations and government entities a theoretical model for developing and promoting gateball programs which serve or involve the elderly, as well as helping older adults to pursue satisfactory levels of wellbeing.

Suggested Citation

  • Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9015-:d:622794
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/17/9015/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/17/9015/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Hyejin Yoon & Won Seok Lee & Kyoung-Bae Kim & Joonho Moon, 2020. "Effects of Leisure Participation on Life Satisfaction in Older Korean Adults: A Panel Analysis," IJERPH, MDPI, vol. 17(12), pages 1-9, June.
    3. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    4. D. Shin & D. Johnson, 1978. "Avowed happiness as an overall assessment of the quality of life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 5(1), pages 475-492, March.
    5. Neda Agahi & Kozma Ahacic & Marti G. Parker, 2006. "Continuity of Leisure Participation From Middle Age to Old Age," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(6), pages 340-346.
    6. Jing Li & Chia-Chien Hsu & Ching-Torng Lin, 2019. "Leisure Participation Behavior and Psychological Well-Being of Elderly Adults: An Empirical Study of Tai Chi Chuan in China," IJERPH, MDPI, vol. 16(18), pages 1-19, September.
    7. 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.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elimelech, Ortal Cohen & Ferrante, Simona & Josman, Naomi & Meyer, Sonya & Lunardini, Francesca & Gómez-Raja, Jonathan & Galán, Carmen & Cáceres, Pilar & Sciama, Piera & Gros, Marianne & Vurro, Clodia, 2022. "Technology use characteristics among older adults during the COVID-19 pandemic: A cross-cultural survey," Technology in Society, Elsevier, vol. 71(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing Li & Chia-Chien Hsu & Ching-Torng Lin, 2019. "Leisure Participation Behavior and Psychological Well-Being of Elderly Adults: An Empirical Study of Tai Chi Chuan in China," IJERPH, MDPI, vol. 16(18), pages 1-19, September.
    2. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    4. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    5. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    6. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    7. 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.
    8. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    9. Tsen-Yao Chang & Yu-Chieh Chiu, 2021. "The Academic Portfolio System (APS) Usage Intention of Senior High School Students in Taiwan," Sustainability, MDPI, vol. 13(15), pages 1-26, July.
    10. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    11. Urvashi Tandon & Ravi Kiran & Ash N. Sah, 2018. "The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: an emerging economy case," Information Systems and e-Business Management, Springer, vol. 16(1), pages 57-91, February.
    12. Masud Rana & Gazi Md. Shakhawat Hossain & Maruf Hasan, 2020. "Effectiveness of entrepreneurship skill development training – A case study at RUDSETI in Chitradurga District, Karnataka," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 30-44, September.
    13. Song, Jinzhu & Drennan, Judy C. & Andrews, Lynda M., 2012. "Exploring regional differences in Chinese consumer acceptance of new mobile technology: A qualitative study," Australasian marketing journal, Elsevier, vol. 20(1), pages 80-88.
    14. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    15. Aftab Pervez Khan & Shahnawaz Khan & Ivan Ang Ri Xiang, 2017. "Factors Influencing Consumer Intentions to Adopt Online Banking in Malaysia," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(2), pages 101-134, June.
    16. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    17. Ivan Ðula & Tabea Berberena & Ksenia Keplinger & Maria Wirzberger, 2024. "From challenges to opportunities: navigating the human response to automated agents in the workplace," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    18. Alraja, Mansour, 2022. "Frontline healthcare providers’ behavioural intention to Internet of Things (IoT)-enabled healthcare applications: A gender-based, cross-generational study," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    19. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.
    20. Lionel P. Robert Jr. & Tracy Ann Sykes, 2017. "Extending the Concept of Control Beliefs: Integrating the Role of Advice Networks," Information Systems Research, INFORMS, vol. 28(1), pages 84-96, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9015-:d:622794. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.