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

Author

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  • 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
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    References listed on IDEAS

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    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.
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