The Impact Mechanism of Government Regulation on the Operation of Smart Health Senior Care Service Platform: A Perspective From Evolutionary Game Theory

Document Type : Original Article

Authors

School of Management, Shenyang University of Technology, Shenyang, China

Abstract

Background 
Smart health and senior care services have developed rapidly to cater to the aging society, but the corresponding regulations are not perfect. The platform and senior care service enterprises have chosen different strategies due to various factors, resulting in disorderly platform development and inefficient resource allocation. This research attempts to establish a regulatory mechanism to promote the active development of the platform.
 
Methods 
In order to mitigate opportunistic behaviors in the smart health senior care service platform, drawing from evolutionary game theory, this study establishes a decision-making model involving the government, the platform, and senior care service enterprises, and scrutinizes the evolutionary behaviors and equilibrium strategies of these three parties.
 
Results 
There are five equilibrium points among the three parties in the game, and the strategy selection shows periodic changes. The cost and level of positive government regulation, the conversion rate of smart aging construction services provided by the platform, penalties for opportunistic behavior by the platform, as well as the benefits of positive cooperation and penalties for passive cooperation by senior care service enterprises, will significantly affect the strategies of all parties involved.
 
Conclusion 
The research results indicate that establishing a regulatory mechanism for the smart health senior care service platform can promote effective cooperation between platform and senior care service enterprises. Active government regulation is the key to the smooth operation of the platform. Through quantitative analysis, the main strategic choices of participants in the smart health senior care service platform can be explained. This model can provide a reference for formulating policies related to smart senior care. 

Keywords

References

  1. Zuo M. Connotation, mode and opportunity of smart elderly care. China Public Security. 2014;10:48-50.
  2. Majumder S, Aghayi E, Noferesti M, et al. Smart homes for elderly healthcare-recent advances and research challenges. Sensors (Basel). 2017;17(11):2496. doi:3390/s17112496
  3. Hossain MS, Rahman MA, Muhammad G. Cyber–physical cloud-oriented multi-sensory smart home framework for elderly people: an energy efficiency perspective. J Parallel Distrib Comput. 2017;103:11-21. doi:1016/j.jpdc.2016.10.005
  4. Fan YN, Chen LJ. Research on the development of healthy towns under the background of population aging. Technical Economics and Management Research. 2020;10:112-117. doi:3969/j.issn.1004-292X.2020.10.020
  5. Nakagawa EY, Antonino PO, Becker M, et al. Relevance and perspectives of AAL in Brazil. J Syst Softw. 2013;86(4):985-996. doi:1016/j.jss.2012.10.013
  6. Åkerlind C, Martin L, Gustafsson C. Care managers’ perceptions of eHomecare: a qualitative interview study. Eur J Soc Work. 2019;22(4):634-646. doi:1080/13691457.2017.1366893
  7. Sapci AH, Sapci HA. Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: systematic review. JMIR Aging. 2019;2(2):e15429. doi:2196/15429
  8. Zhang L, Xu X. Construction of smart older adults care service model driven by primary health care. Front Public Health. 2023;11:1157758. doi:3389/fpubh.2023.1157758
  9. Xu S, Tu D, He Y, Tan S, Fang M. ACT-R-typed human–robot collaboration mechanism for elderly and disabled assistance. Robotica. 2014;32(5):711-21. doi:1017/s0263574713001094
  10. Tian X. Research on the realization path of smart old-age care in Suzhou based on intelligent recommendation system. J Intell Fuzzy Syst. 2018;35(3):3051-3063. doi:3233/jifs-169660
  11. Dong HY. Smart elderly care and its development from the perspective of technology and humanity. Soc Policy Res. 2019;4:90-102. doi:19506/j.cnki.cn10-1428/d.2019.04.009
  12. Sun Q, Hao G, Ding Y. Digital platform drives supply optimization of smart elderly care services: game analysis based on the perspective of value co-creation theory. Commercial Research. 2023;3:58-69. doi:13902/j.cnki.syyj.2023.03.015
  13. Bajraktari S, Zingmark M, Pettersson B, Rosendahl E, Lundin-Olsson L, Sandlund M. Reaching older people with a digital fall prevention intervention in a Swedish municipality context-an observational study. Front Public Health. 2022;10:857652. doi:3389/fpubh.2022.857652
  14. Landgren S, Cajander Å. Non-use of digital health consultations among Swedish elderly living in the countryside. Front Public Health. 2021;9:588583. doi:3389/fpubh.2021.588583
  15. Stein J, Luppa M, König HH, Riedel-Heller SG. Assessing met and unmet needs in the oldest-old and psychometric properties of the German version of the Camberwell Assessment of Need for the Elderly (CANE)--a pilot study. Int Psychogeriatr. 2014;26(2):285-295. doi:1017/s1041610213001993
  16. Frishammar J, Essén A, Bergström F, Ekman T. Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technol Forecast Soc Change. 2023;189:122319. doi:1016/j.techfore.2023.122319
  17. Vandemeulebroucke T, Dierckx de Casterlé B, Gastmans C. Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation. J Med Ethics. 2020;46(2):128-136. doi:1136/medethics-2019-105615
  18. Satariano WA, Scharlach AE, Lindeman D. Aging, place, and technology: toward improving access and wellness in older populations. J Aging Health. 2014;26(8):1373-1389. doi:1177/0898264314543470
  19. Hoenig H, Taylor DH Jr, Sloan FA. Does assistive technology substitute for personal assistance among the disabled elderly? Am J Public Health. 2003;93(2):330-337. doi:2105/ajph.93.2.330
  20. Frischer R, Krejcar O, Maresova P, et al. Commercial ICT smart solutions for the elderly: state of the art and future challenges in the smart furniture sector. Electronics. 2020;9(1):149. doi:3390/electronics9010149
  21. Melkas H, Hennala L, Pekkarinen S, Kyrki V. Impacts of robot implementation on care personnel and clients in elderly-care institutions. Int J Med Inform. 2020;134:104041. doi:1016/j.ijmedinf.2019.104041
  22. Lee EJ, Park SJ. A preference-driven smart home service for the elderly's biophilic experience. Sensors (Basel). 2021;21(15):5108. doi:3390/s21155108
  23. Zhang C, Liang C, Zhang C, Ma Y. Symbiosis evolution model and behavior of multiple resource agents in the smart elderly care service ecosystem. Symmetry. 2021;13(4):570. doi:3390/sym13040570
  24. Pal D, Funilkul S, Charoenkitkarn N, Kanthamanon P. Internet-of-things and smart homes for elderly healthcare: an end user perspective. IEEE Access. 2018;6:10483-10496. doi:1109/access.2018.2808472
  25. Xu L, Zhang Y, Wei Y. Evaluation and analysis of smart community elderly care service quality based on the two-stage decision model with grey synthetic measures under hesitant fuzzy situation. J Grey Syst. 2021;33(1):118-137.
  26. Wan L, Li S, Yin S. Analysis of the game behavior of smart community regulatory participants to co-create the smart city: post-human stakeholder perspectives. Health Soc Care Community. 2023;2023(1):9837762. doi:1155/2023/9837762
  27. Nabi KN, Kabir KM. Modelling the dynamic vaccination game with evolutionary feedback: exploring pairwise interactions and vaccine strategies. R Soc Open Sci. 2024;11(6):rsos.240460. doi:1098/rsos.240460
  28. Su W. The status quo, experience and measures of implementing intelligent elderly care strategy in China. Sci Res. 2023;41(4):651-658. doi:3969/j.issn.1003-2053.2023.04.009
  29. Larrinaga F, Pérez A, Aldalur I, Hernández JL, Izkara JL, Sáez de Viteri P. A holistic and interoperable approach towards the implementation of services for the digital transformation of smart cities: the case of Vitoria-Gasteiz (Spain). Sensors (Basel). 2021;21(23):8061. doi:3390/s21238061
  30. Zhou L, Zhou N, Zhu C. The practical logic and optimization path of technology-enabled smart elderly care services: a case study of Shanghai. E-government. 2023;2:43-57. doi:16582/j.cnki.dzzw.2023.02.004
  31. Wang Q, Liu J, Zheng Y. Evolutionary game and stability analysis of elderly care service quality supervision from the perspective of government governance. Front Public Health. 2023;11:1218301. doi:3389/fpubh.2023.1218301
  32. Hofbauer J, Sigmund K. Evolutionary game dynamics. Bull Am Math Soc. 2003;40(4):479-519.
  33. Simon HA. A behavioral model of rational choice. Q J Econ. 1955;69(1):99-118. doi:2307/1884852
  34. Li CN, Bi XH. Research on the construction of intelligent elderly care service system and platform. E-government. 2018;6:105-113. doi:16582/j.cnki.dzzw.2018.06.012
  35. 2023-2021 Silver Hair Economy Information Analysis Report. Discovery Report. https://www.fxbaogao.com/detail/4159639.
  36. Li W, Li D, Hu H, Hu S. The spatial pattern and influencing factors of the pension industry in Yangtze River Delta. World Geographic Studies. 2024;33(2):123-135. doi:3969/j.issn.1004-9479.2024.02.20220163
  37. Chen JY, Huang MJ, Lv QH. Evolutionary game analysis of smart elderly care service ecosystem in digital context. Complex Systems and Complexity Science. 2024;1-10. http://kns.cnki.net/kcms/detail/37.1402.N.20240130.1756.004.html.
  38. Ferlie E, Fitzgerald L, Wood M, Hawkins C. The nonspread of innovations: the mediating role of professionals. Acad Manage J. 2005;48(1):117-134. doi:5465/amj.2005.15993150
  39. Côté-Boileau É. How openness serves innovation in healthcare?: Comment on "What managers find important for implementation of innovations in the healthcare sector - practice through six management perspectives". Int J Health Policy Manag. 2022;11(12):3129-3132. doi:34172/ijhpm.2022.7517
  40. Secundo G, Toma A, Schiuma G, Passiante G. Knowledge transfer in open innovation. Bus Process Manag J. 2019;25(1):144-163. doi:1108/bpmj-06-2017-0173
  41. de Graaff MB, Stoopendaal A, Leistikow I. Transforming clients into experts-by-experience: a pilot in client participation in Dutch long-term elderly care homes inspectorate supervision. Health Policy. 2019;123(3):275-280. doi:1016/j.healthpol.2018.11.006
  42. Qin S, Zhang M, Hu H, Wang Y. Smart elderly care: an intelligent e-procurement system for elderly supplier selecting. Systems. 2023;11(5):251. doi:3390/systems11050251

Files

History

  • Receive Date: 12 June 2024
  • Revise Date: 06 January 2025
  • Accept Date: 17 January 2025
  • First Publish Date: 18 January 2025

Share

How to cite

Statistics