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How do care service managers and workers perceive care robot adoption in elderly care facilities?

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  • Na, Eunkyung
  • Jung, Yoonhyuk
  • Kim, Seongcheol

Abstract

Amid growing social interest and investment in the implementation of robots throughout the elderly care system, the benefits and challenges faced by care facility personnel have also gathered attention. This study investigates the social representations of care robots held by two groups – care service managers and care workers – who play critical roles in organizational adoption within care facilities. The social representation model assumed in this paper is particularly well-suited to help understand the perceptions and attitudes of different stakeholders toward care robots. We conducted 25 face-to-face interviews with 12 care service managers and 13 care workers in Korean care facilities, and identified 18 topics as elements of social representation. Core-periphery analysis revealed an apparent contrast between the two groups in their fundamental elements and structures: namely, the dominant social representation of care service managers was negative; that of care workers was positive. The difference in roles and responsibilities between the two groups yielded contrasting perceptions and attitudes toward care robots. The potential implications for the government and the industry are presented alongside an interpretation of the results.

Suggested Citation

  • Na, Eunkyung & Jung, Yoonhyuk & Kim, Seongcheol, 2023. "How do care service managers and workers perceive care robot adoption in elderly care facilities?," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007715
    DOI: 10.1016/j.techfore.2022.122250
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    1. Lolich, Luciana & Riccò, Isabella & Deusdad, Blanca & Timonen, Virpi, 2019. "Embracing technology? Health and Social Care professionals' attitudes to the deployment of e-Health initiatives in elder care services in Catalonia and Ireland," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 63-71.
    2. Lucy Kok & Caroline Berden & Klarita Sadiraj, 2015. "Costs and benefits of home care for the elderly versus residential care: a comparison using propensity scores," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 119-131, March.
    3. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    4. Kose, Toshihiro & Sakata, Ichiro, 2019. "Identifying technology convergence in the field of robotics research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 751-766.
    5. Gremler, Dwayne D. & Gwinner, Kevin P., 2008. "Rapport-Building Behaviors Used by Retail Employees," Journal of Retailing, Elsevier, vol. 84(3), pages 308-324.
    6. Francisco Leiva & Francisco Ríos & Teodoro Martínez, 2006. "Assessment of Interjudge Reliability in the Open-Ended Questions Coding Process," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 519-537, August.
    7. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    8. Si Ying Tan & Araz Taeihagh, 2021. "Governing the adoption of robotics and autonomous systems in long-term care in Singapore [Scoping review on the use of socially assistive robot technology in elderly care]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 211-231.
    9. Maïté Brunel & Céline Launay & Valérie Le Floch & Jacques Py & Nadine Cascino & Méliné Zorapapillan & Gregory Lo Monaco, 2018. "Is the social representation of nanotechnology anchored in that of GMOs?," Journal of Risk Research, Taylor & Francis Journals, vol. 21(10), pages 1248-1263, October.
    10. Goeldner, Moritz & Herstatt, Cornelius & Tietze, Frank, 2015. "The emergence of care robotics — A patent and publication analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 115-131.
    11. Anol Bhattacherjee & Neset Hikmet, 2007. "Physicians' resistance toward healthcare information technology: a theoretical model and empirical test," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(6), pages 725-737, December.
    12. Suzanne D Pawlowski & Evgeny A Kaganer & John J Cater, 2007. "Focusing the research agenda on burnout in IT: social representations of burnout in the profession," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(5), pages 612-627, October.
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