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Refreshment students’ perceived usefulness and attitudes towards using technology: a moderated mediation model

Author

Listed:
  • Emete Toros

    (University of Kyrenia)

  • Gulsum Asiksoy

    (Near East University)

  • Lütfi Sürücü

    (World Peace University Nicosia)

Abstract

This study aims to understand the attitudes of Refreshment students who are active learners towards the use of technology. A model was developed by utilising four important factors impacting technology usage attitudes, namely perceived usefulness (PU), perceived ease of use (PEOU), gerontechnology self-efficacy (GTSE) and attitude towards using technology (ATUT). Quantitative research was used to test the study model. A survey was administered to 318 participants selected through convenience sampling to collect data, which were analysed using AMOS 21.0 and SPSS 26.0 software programmes. The results confirmed that PU influences the attitudes of Refreshment students towards technology usage and PEOU mediates the effect of usefulness on their attitude perception. Moreover, GTSE was found to have a moderate mediating role in the effect of PU on Refreshment students’ attitude through PEOU. The results of this study hold significant implications for the design and implementation of gerontechnology. Theoretically, the findings align with the Technology Acceptance Model (TAM), suggesting that older adults are more inclined to adopt technology if they perceive it as useful and user-friendly. In practical terms, the study indicates that interventions aimed at enhancing the utility, ease of use, and accessibility of gerontechnology for older adults are likely to be effective in increasing their technology adoption. Overall, these findings underscore the importance of making gerontechnology more accessible and user-friendly, potentially enhancing older adults’ technology adoption and thereby improving their overall quality of life.

Suggested Citation

  • Emete Toros & Gulsum Asiksoy & Lütfi Sürücü, 2024. "Refreshment students’ perceived usefulness and attitudes towards using technology: a moderated mediation model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02839-3
    DOI: 10.1057/s41599-024-02839-3
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    References listed on IDEAS

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    1. Rana Mostaghel & Pejvak Oghazi, 2017. "Elderly and technology tools: a fuzzyset qualitative comparative analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 1969-1982, September.
    2. 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.
    3. Alicia Murciano-Hueso & Antonio-Víctor Martín-García & Ana Paula Cardoso, 2022. "Technology and Quality of Life of Older People in Times of COVID: A Qualitative Study on Their Changed Digital Profile," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    4. Subhasish Dasgupta & Mary Granger & Nina McGarry, 2002. "User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model," Group Decision and Negotiation, Springer, vol. 11(2), pages 87-100, March.
    5. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    6. 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.
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