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Smart Home Technologies to Facilitate Ageing-in-Place: Professionals Perception

Author

Listed:
  • Olugbenga Timo Oladinrin

    (Built Environment Department, School of Art, Design and Architecture, University of Plymouth, Plymouth PL4 8AA, UK)

  • Jayantha Wadu Mesthrige

    (School of Property Construction and Project Management, RMIT University, Melbourne, VIC 3000, Australia)

  • Lekan Damilola Ojo

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China)

  • João Alencastro

    (Built Environment Department, School of Art, Design and Architecture, University of Plymouth, Plymouth PL4 8AA, UK)

  • Muhammad Rana

    (Construction Management, University College of Estate Management, Horizons, 60 Queen’s Road, Reading RG1 4BS, UK)

Abstract

An ageing population is a global phenomenon. Like other developed economies, Hong Kong Special Administrative Region (HKSAR), China, also faces a severe ageing problem. One initiative to enhance the safe living and well-being of the growing elderly population is to assist them by building ageing-friendly living environments with the application of smart home technologies (SHTs). Therefore, this study focused on investigating the perception of professionals on the use of SHTs to improve and enhance the “ageing-in-place” (AIP) of elderly residents in HKSAR, China. A questionnaire survey was employed to obtain the perception of professionals with requisite knowledge of the older people facility needs regarding SHTs in achieving AIP for the elderly. The data retrieved were analysed with different statistical analyses. Based on the results of the analyses, all the professionals had similar perceptions of the use of SHTs for the safety and well-being of the elderly, except for the incongruence observed between the government employees, contractors and academic regarding how SHTs may not help to better monitor elderly daily activities. The possible reasons for the inconsistent opinions of the academics with other groups were linked to the knowledge of human behaviours and early dementia symptoms in gerontology. The findings will help care receivers, healthcare professionals, social workers, policymakers, smart home designers and developers to improve and enhance AIP in elderly residences in HKSAR, China.

Suggested Citation

  • Olugbenga Timo Oladinrin & Jayantha Wadu Mesthrige & Lekan Damilola Ojo & João Alencastro & Muhammad Rana, 2023. "Smart Home Technologies to Facilitate Ageing-in-Place: Professionals Perception," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6542-:d:1121816
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    References listed on IDEAS

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    1. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    2. Gilly, Mary C & Zeithaml, Valarie A, 1985. "The Elderly Consumer and Adoption of Technologies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 353-347, December.
    3. David J. Ketchen & Christopher W. Craighead & Li Cheng, 2018. "Achieving Research Design Excellence Through the Pursuit of Perfection: Toward Strong Theoretical Calibration," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(1), pages 16-22, January.
    4. Wilson, Charlie & Hargreaves, Tom & Hauxwell-Baldwin, Richard, 2017. "Benefits and risks of smart home technologies," Energy Policy, Elsevier, vol. 103(C), pages 72-83.
    5. Barbara Flynn & Mark Pagell & Brian Fugate, 2018. "Editorial: Survey Research Design in Supply Chain Management: The Need for Evolution in Our Expectations," Journal of Supply Chain Management, Institute for Supply Management, vol. 54(1), pages 1-15, January.
    6. Paul Bowen & Rita Peihua Zhang & Peter Edwards, 2021. "An investigation of work-related strain effects and coping mechanisms among South African construction professionals," Construction Management and Economics, Taylor & Francis Journals, vol. 39(4), pages 298-322, April.
    7. Alders, Peter & Schut, Frederik T., 2019. "Trends in ageing and ageing-in-place and the future market for institutional care: scenarios and policy implications," Health Economics, Policy and Law, Cambridge University Press, vol. 14(1), pages 82-100, January.
    8. Onaopepo Adeniyi & Lekan Damilola Ojo & Oluwaseun A. Idowu & Sunday B. Kolawole, 2020. "Compliance with the stipulated procurement process in local governments: a case from a developing nation," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 13(5), pages 678-700.
    9. Quynh Lê & Hoang Boi Nguyen & Tony Barnett, 2012. "Smart Homes for Older People: Positive Aging in a Digital World," Future Internet, MDPI, vol. 4(2), pages 1-11, June.
    10. Cunwei Yang & Weiqing Wang & Fengying Li & Degang Yang, 2022. "A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    11. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
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