Modernization of the Welfare State through Digitalization for an Aging Population
DOI:
https://doi.org/10.31558/2519-2949.2022.2.12Keywords:
digitalization of the state; welfare state; digital welfare state; elderly people; aging population; model of active agingAbstract
The paper aims to study the modernization of the welfare state through digitalization in the aging population. The tasks are: to find out the advantages of the digital model of the welfare state; outline the range of problems that arise in relation to the digitalization of the welfare state in view of the aging population; to analyze what steps at the level of state and society are appropriate so that the aging population does not become an obstacle to strengthening the stability of the welfare state. The research methodology is new institutionalism and axiological analysis. The author argues that digitalization is an economically viable response to the aging population. At the same time, it was emphasized that even in the most developed welfare states, there is a lack of readiness of the elderly to digitize the social sphere. At the same time, building a digital welfare state is possible only with a high level of digital literacy of all age groups. Emphasis is placed on the numerous advantages of the digital welfare state for the elderly: the possibility of receiving various social services regardless of physical mobility; increasing personal independence; opportunity to constantly learn, to remain active members of the community; make social contacts; prevention of segregation, etc. Reasons impeding the transition to digitized access to welfare state comprise: lack or insufficient experience of technical skills; lack of interest in digital technologies; adherence to established habits, conservatism; concerns about privacy; lack of Internet access, technical devices; financial problems; exclusion of a person from the network of family relations; health problems, etc. It has been argued that the rejection of digital technologies by the elderly and the lack of skills in using them threaten to create new social barriers for them. It is proved that the institution of the welfare state for its modernization should not only expect growth of digital cognizance in the elderly, but should lobby and implement programs for them to develop digital skills. It is proved that the digitalization of the institution of the welfare state will have a positive impact on the broad perspective of the welfare state in the aging population only if the model of active aging is implemented.
References
Androutsopoulou A., Karacapilidis N., Loukis E., Charalabidis Y. Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly. 2019. № 36 (2). Р. 358-367.
Batut L. Opinion of the European Economic and Social Committee on the digital pillar of growth: E-seniors, a potential 25 per cent of the European population. URL: https://www.eesc.europa.eu/en/our-work/ opinions-information-reports/opinions/digital-pillar-growth-e-seniors-potential-25-european-population (дата звернення: 21.09.2021).
Bloom D. E., Chatterji S., Kowal P. et. al. Macroeconomic implications of population ageing and selected policy responses. Lancet. 2015. № 385 (9968). Р. 649-657.
Chopik W.J. The benefits of social technology use among older adults are mediated by reduced loneliness. Cyberpsychology, Behavior, and Social Networking. 2016. № 19 (9). Р. 551-555.
Czaja S. J. The role of Technology in Supporting Social Engagement among Older Adults. Public Policy & Aging Report. 2017. № 27 (4). Р. 145-148.
Delaney S., Somerville C. Home telehealth. Industry enthusiasm, health system resistance and community expectations. In D. Prendergast, C. Grattini (Eds.), Ageing and the Digital Lifecourse. New York: Berghahn Books, 2015. Р. 165-178.
Dutton W.H., Shepherd A., Di Gennaro C. Digital divides and choices reconfiguring access: national and cross-national patterns of Internet diffusion and use. In B. Anderson et al. (Eds.), Information and Communication Technologies in Society: E-Living in a Digital Europe. London: Routledge, 2006. Р. 31-45.
Eubanks V. Automating Inequality. How High-Tech Tools Profile, Police, and Punish the Poor. New York: St. Martin’s Press, 2018.
European Commission. People at risk of poverty or social exclusion. URL: https://ec.europa.eu/eurostat/statistics-explained/index.php/People_at_risk_of_ poverty_or_social_exclusion (дата звернення: 24.09.2021)
Fang M.L., Canham S.L., Battersby L. et al. Exploring privilege in the digital divide: implications for theory, policy, and practice. Gerontology. 2019. № 59 (1).
Friemel T.N. The digital divide has grown old: Determinants of a digital divide among seniors. New Media & Society. 2016. № 18. Р. 313-331.
Haight M., Quan-Haase A., Corbett B.A. Revisiting the digital divide in Canada: the impact of demographic factors on access to the internet, level of online activity, and social networking site usage. Information, Communication & Society. 2014. № 17 (4). Р. 503-519.
Hansen H.T., Lundberg K., Syltevik L.J. Digitalization, street-level bureaucracy and welfare users’ experiences. Social Policy & Administration. 2018. № 52 (1). Р. 67-90.
Ihm J., Hsieh Y. P. The implications of information and communication technology use for the social wellbeing of older adults. Information, Communication & Society. 2015. № 18 (10). Р. 1123-1138.
Ishiguro N. Care robots in Japanese elderly care: cultural values in focus. In K. Christensen, D. Pilling (Eds.), The Routledge Handbook of Social Care Work Around the World. New York: Routledge, 2018. Р. 256-270.
Johnson J. Internet usage worldwide – statistics & facts. Statista. URL: https: //www.statista.com/topics/1145/internet-usage-worldwide/#dossierKeyfigures (дата звернення: 24.12.2021).
Katz V.S., Moran M.B., Ognyanova K. Contextualizing connectivity: how internet connection type and parental factors influence technology use among lower-income children. Information, Communication & Society. 2019. № 22 (3). Р. 313-335.
Khoma N., Vdovychyn I. Deconstruction of the Welfare State: The Impact of Globalization and Technological Factors. Revija za socijalnu politiku. 2020. № 27 (3). P. 269-285.
Nationwide representative survey in Estonia. Tallinn: Turu-uuringute AS, 2019.
Khvorostianov N., Elias N. Nimrod G. “Without it I am nothing”: the internet in the lives of older immigrants. New Media & Society. 2012. № 14 (4). Р. 583-599.
Scheerder A., van Deursen A. van Dijk J. Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide. Telematics and Informatics. 2017. № 34 (8). Р. 1607-1624.
Seale J., Dutton W. Empowering the digitally excluded: learning initiatives for (in)visible groups. Research in Learning Technology. 2012. № 20 (4). Р. 313-321.
Selwyn N. Digital division or digital decision? A study of non-users and low-users of computers. Poetics. 2006. № 34 (4-5). Р. 273-292.
Siegel C., Dorner T. E. Information technologies for active and assisted living – Influences to the quality of life of an ageing society. International Journal of Medical Informatics. 2017. № 100. Р. 32-45.
State Budget Strategy 2017-2020. URL: www.rahandusministeerium.ee (дата звернення: 21.07.2021).
Statistics Estonia should collect data on Internet usage by the elderly. URL: https://www.oiguskantsler.ee/en/statistics-estonia-should-collect-data-internet-usage-elderly (дата звернення: 29.09.2021).
Uptake on Digital Services. Digital Denmark. https://digitaldenmark.dk/digital-timeline/ (дата звернення: 14.10.2021).
Vandemeulebroucke T., de Casterle B.D., Gastmans C. The use of care robots in aged care: a systematic review of argument-based ethics literature. Archives of Gerontology and Geriatrics. 2018. № 74. Р. 15-25.
Walsh K., Scharf T., Van Regenmortel S., Wanka A. (eds.). Social Exclusion in Later Life. International Perspectives on Agin. Cham: Springer, 2021. Р. 409-419.
Yoon H., Jang Y., Vaughan P.W., Garcia M. Older adults’ internet use for health information: digital divide by race/ethnicity and socioeconomic status. Journal of Applied Gerontology. 2020. № 39 (1). Р. 105-110.
Yoon J.W. Huang H., Kim S. Trends in health information-seeking behaviour in the U.S. Foreign-born population based on the health information National Trends Survey, 2005-2014. International Electronic Journal. 2017. № 22 (3).
Yu R. P., Ellison N. B., McCammon R. J., Lange K. M. Mapping the two levels of digital divide: Internet access and social network site adoption among older adults in the USA. Information, Communication & Society. 2016. № 19 (10). Р. 1445-1464.