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Service Innovation Using Social Robot to Reduce Social Vulnerability among Older People in Residential Care Facilities

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  • Khaksar, Seyed Mohammad Sadegh
  • Khosla, Rajiv
  • Chu, Mei Tai
  • Shahmehr, Fatemeh S.

Abstract

This paper aims to explore the main factors of social vulnerability among older people and the improvements in social life after engaging with social robots. This paper also examines the influence of these factors on each other. Study 1 helped develop a conceptual model and research hypotheses by interviewing 17 specialists in both aged care and social robotics, using grounded theory methodology (GTM). To validate the conceptual model in general and its constructs and hypotheses in particular, Study 2 employed a confirmatory factor analysis (CFA) based on the survey distributed among 335 aged care specialists in Australia. The results of study 2 support the indirect effects of social robot enablement and robot mediation on reduction of social vulnerability (socioeconomic accessibility and community ties) through aged care service innovation. It also supports direct impact of robot mediation on augmentation of community ties among older people. Both qualitative and quantitative results measuring the research constructs and hypotheses provide valuable information to managers of aged care facilities and social robotics scholars to improve the quality of life for older people. The implementation of meaningful advances in merging people oriented robotic technology and social vulnerability in older people has demonstrated effective initiatives, including bridging the gap by synthesizing multi-disciplinary interventions to ease social vulnerability.

Suggested Citation

  • Khaksar, Seyed Mohammad Sadegh & Khosla, Rajiv & Chu, Mei Tai & Shahmehr, Fatemeh S., 2016. "Service Innovation Using Social Robot to Reduce Social Vulnerability among Older People in Residential Care Facilities," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 438-453.
    • Handle: RePEc:eee:tefoso:v:113:y:2016:i:pb:p:438-453
    DOI: 10.1016/j.techfore.2016.07.009
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    5. Baudier, Patricia & de Boissieu, Elodie & Duchemin, Marie-Hélène, 2023. "Source Credibility and Emotions generated by Robot and Human Influencers: The perception of luxury brand representatives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Tan, Si Ying & Taeihagh, Araz & Tripathi, Abhas, 2021. "Tensions and antagonistic interactions of risks and ethics of using robotics and autonomous systems in long-term care," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    7. Kim, Rachel H. & Gaukler, Gary M. & Lee, Chang Won, 2016. "Improving healthcare quality: A technological and managerial innovation perspective," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 373-378.
    8. Chiang, Ai-Hsuan & Trimi, Silvana & Lo, Yu-Ju, 2022. "Emotion and service quality of anthropomorphic robots," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    9. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    10. Skare, Marinko & Porada-Rochoń, Małgorzata, 2022. "Technology and social equality in the United States," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    12. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    13. Wilson-Nash, Carolyn & Pavlopoulou, Ismini & McCabe, Louise & Gibson, Grant, 2024. "Towards an evaluation framework for inclusive technological innovation in social and health care services," Journal of Business Research, Elsevier, vol. 179(C).
    14. Xiaoyi Jin & Yanjun Liu & Zhaoyuan Hu & Wei Du, 2021. "Vulnerable Older Adults’ Identification, Geographic Distribution, and Policy Implications in China," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    15. Toms, G. & Verity, F. & Orrell, A., 2019. "Social care technologies for older people: Evidence for instigating a broader and more inclusive dialogue," Technology in Society, Elsevier, vol. 58(C).
    16. Ding, Bin & Li, Yameng & Miah, Shah & Liu, Wei, 2024. "Customer acceptance of frontline social robots—Human-robot interaction as boundary condition," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    17. Frank, Darius-Aurel & Otterbring, Tobias, 2023. "Being seen… by human or machine? Acknowledgment effects on customer responses differ between human and robotic service workers," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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