Research and Development of 4 Dimensions and 6 Paradigm Shifts of Business Model in Silver Age Population, Chaiyaphum, Thailand
Keywords:
Research and Development, Business Model, Silver Age, Smartphone applicationAbstract
This research aims to study the situational perspective of 4 business dimensions in the silver-age health service system, develop a silver-age business model based on health behaviors and the participation of 6 paradigm shifts, and examine the results of implementing the application in pilot areas of Chaiyaphum province. The mixed-method research collected data from 388 participants for quantitative research and 45 participants for qualitative research, covering 14 districts. The research was divided into 3 phases. Results showed that most silver-age individuals had primary education level and household income less than 30,000 baht per year. The most common chronic conditions were hypertension, hyperlipidemia, and diabetes. In the B2C business dimension, most elderly had never purchased products online; those who did preferred using Lazada, Facebook, and Shopee, spending 100-299 baht per transaction. The business model development used analytical tools including Business Model Canvas, resulting in 5 models. The highest-scoring models selected were “Online store for elderly products with fast ordering and delivery system” and “Community convenience store for elderly products,” which were integrated into a combined model. The application evaluation showed high effectiveness in health assessment with high correlation coefficients for activities of daily living (0.97), body mass index (0.94), and sleep quality (0.91). Most project participants (91%) believed that current social, political, and economic environments are conducive to participation in developing elderly care models.
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References
Sorrentino M, Sicilia M, & Howlett M. Understanding co-production as a new public governance tool. Policy and Society. 2018;37(3):277-93.
Ckuntachai K, & Poungsangsuk S. Service marketing mix and service quality influencing satisfaction of elderly care private nursing home users in Bangkok. Rajapruk University Journal of Business Administration. 2022;1(2): 1-17. (in Thai)
Ratdeetechakul N. 13 marketing mix factors affecting online purchasing decisions of elderly people in Bangkok. Journal of Santapol College. 2023;9(1):128-34. (in Thai)
Suthamdi D, Dachthamrong U, Suthamdi C, & Sanwa S. Development of “Chicken Raisers, Chicken Providers” network to create strong participation for sustainable happy society of Na Di Model native chicken community enterprise. Journal of Local Governance and Innovation. 2022;6(3):1-14. (in Thai)
Soonasuan N, Bunrattanaimaitree A, Promwong C, & Tiawtoy A. Public service and participation for sustainable development of entrepreneurs. Journal of Educational Innovation and Research. 2022;6(2):296-306. (in Thai)
Sangthasiriwilai R. Business management of healthcare services for elderly to enhance business competitiveness in Bangkok and metropolitan area. Journal of Burapha University’s Faculty of Commerce Review. 2018;13(2):2. (in Thai)
United Nations. World Population Ageing 2019: Highlights. New York: UN Department of Economic and Social Affairs; 2019.
World Health Organization. Global Age-friendly Cities: A Guide. Geneva: WHO Press; 2007.
Oxford Economics. The Silver Economy: A New Age of Opportunity. London: Oxford Economics; 2018.
United Nations. Transforming Our World: The 2030 Agenda for Sustainable Development. New York: UN General Assembly; 2015.
Green LW, & Kreuter MW. Health program planning: an educational and ecological approach. 5thed. New York: McGraw-Hill; 2020.
Osterwalder A, Pigneur Y, Smith A, & Etiemble F. The invincible company: How to constantly reinvent your organization with inspiration from the world’s best business models. Hoboken: John Wiley & Sons; 2020.
Brewer JD. The new handbook of ethnography. London: Sage Publications; 2021.
Zhao SQ, Cao YJ, Cao H, Liu K, Lv XY, Zhang JX, et.al. Davidson PM. Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation. Frontiers in Psychology. 2022;2(13):np.
Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, et.al. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. Journal of Medical Internet Research Mhealth Uhealth. 2022;10(8): 1-11.
Benzaghta MA, Elwalda A, Mousa MM, Erkan I, & Rahman M. SWOT analysis applications: An integrative literature review. Journal of Global Business Insights. 2021;6(1):55-73.
Lord KR, Livingston B, & Faulkner T. Market factors and nursing home financial distress: a Porter’s five forces perspective. Health Care Management Science. 2020;23(4):567-80.
Wu X, Zhang Y, & Chen L. How do policies promote the sustainable development of older-adult care industry? A configuration analysis based on policy tools. Frontiers in Public Health. 2024;10(12):1-15.
Bridges M. Regenerating the healthcare value chain analysis. Healthcare Management Forum. 2024;37(4):198-205.
Ferrari C. Value proposition design for medical products: Understanding customer jobs, pains, and gains in healthcare delivery. Healthcare Innovation Management. 2024;7(2):45-62.
Sasatz S. Development of elderly care system in rural Thai communities. Journal of Public Health Nursing. 2020;28(2):45-60. (in Thai)
National Statistical Office. Report on the Survey of the Elderly Population in Thailand 2021. Bangkok: National Statistical Office; 2021. (in Thai)
Luekitinun W. Technology adoption among Thai elderly: factors and barriers. Journal of Information Technology. 2020;16(1):78-90. (in Thai)
Plachaipiromsin S. Adaptation of the elderly in the digital era. Journal of Humanities and Social Sciences. 2019;27(3):112-25. (in Thai)
Osterwalder A, & Pigneur Y. Business Model Generation. 3rd ed. Bangkok: We Learn; 2018. (in Thai)
Chayovan N. Diversity of Thai elderly and service design. Journal of Demography. 2020;36(1): 45-62. (in Thai)
Rasmepat P. Effectiveness of health applications for Thai elderly. Journal of Health Sciences. 2021;23(2):89-105. (in Thai)
Suwanrada W. Elderly policies in Thailand: challenges and opportunities. Journal of Social Sciences. 2019;49(2):78-95. (in Thai)
Foundation of Thai Gerontology Research and Development Institute. Report on the situation of the Thai elderly 2020. Bangkok: Foundation of Thai Gerontology Research and Development Institute; 2020. (in Thai)
Wongpanarak N, & Chaleoykitti S. Quality of Life: A Study of Elderly in Thailand. Journal of The Royal Thai Army Nurses. 2015;15(3):64-70. (in Thai)
World Health Organization. Digital health for aging populations: A framework for action. Geneva: WHO Press; 2023.
Friemel TN. The digital divide has grown old: determinants of a digital divide among seniors. New Media and Society. 2016;18(2):313-31.
Nedeljko AM, Bogataj PDD, Perović APDBT, & Kaučič APDBM. Digital literacy during the coronavirus pandemic in older adults: Literature Review and Research Agenda. International Federation of Automatic Control Papers OnLine. 2022;55(39):153-8.
Awotunde JB, Ajagbe SA, & Florez H. Internet of things with wearable devices and artificial intelligence for elderly uninterrupted healthcare monitoring systems. In: International Conference on Applied Informatics. Springer; 2022.
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