Starenje radne snage i dostojanstven rad u eri digitalne ekonomije – ka holističkom javnopolitičkom pristupu

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Objavljeno: Jul 10, 2023
DOI: https://doi.org/10.2298/STNV230220001S
Ključne reči:
starenje radne snage, digitalizacija, veštine koje se unapređuju starenjem, standardi dostojanstvenog rada, due diligence (dužna pažnja) pristup ljudskim pravima

Glavni sadržaj članka

Sanja Stojković Zlatanović
Centar za pravna istraživanja, Institut društvenih nauka, Beograd
https://orcid.org/0000-0001-7753-0876
Predrag Jovanović
Centar za ekonomska istraživanja, Institut društvenih nauka, Beograd
https://orcid.org/0000-0003-0841-7022

Apstrakt

Starenje stanovništva i radne snage u kombinaciji sa sve intenzivnijim procesom digitalizacije sve više utiču na zaposlenost, uslove rada, kao i na ostvarivanje i delotvornu zaštitu prava na radu i u vezi sa radom. Delatnosti i poslovi zasnovani na veštinama koje se unapređuju sa godinama imaju koristi od procesa starenja i digitalizacije, s obzirom na to da automatizacija kompenzuje slabljenje fizičkih sposobnosti do kojih dolazi kod starijih radnika, čime se pak povećava njihova produktivnost. S druge strane, proces automatizacije preti da zameni radnike koji obavljaju rutinske, odnosno repetitivne, tj. manuelne poslove koji traže nizak stepen znanja i veština. Stoga bi napori kreatora javnih politika, u budućnosti, a vezano za podsticanje i obezbeđenje sigurnosti zaposlenja, kao i osiguranja dostojanstvenog rada za sve kategorije radnika, a posebno one vulnerabilne, trebalo da idu u pravcu stvaranja uslova za inkluzivnije i inovativnije obrazovanje, na način koji omogućava da radnici steknu potrebna znanja, odnosno kreativne i socijalne veštine. S tim u vezi, javnopolitički i normativni okvir koji podržava, te predstavlja odgovor na društvene, odnosno demografske, kao i tehnološke promene treba da se zasniva na obaveznosti adresiranja pitanja dokvalifikacije i prekvalifikacije u smislu usvajanja novih znanja i veština shodno potrebama tržišta rada, a vezano za tranziciju ka zelenoj i digitalnoj ekonomiji, uz istovremeno promovisanje i osiguranje dostojanstvenih uslova rada i života radnika. Osim toga, na mikro nivou, odnosno na nivou radne organizacije tj. poslodavca, neophodno je promovisanje tzv. održive, dinamične i inkluzivne organizacione i radne prakse. Stoga, autori u ovom radu ukazuju na značaj primene mehanizma tzv. menadžmenta, odnosno upravljanja starenjem radnika (eng. age management) kao efikasnog instrumenta u oblasti ljudskih resursa, odnosno njegovog pravnog pandana, due diligence pristupa ljudskim, odnosno radnim i socijalnim pravima, kao potencijalno adekvatnim, na holističkom pristupu zasnovanim metodama upravljanja nastupajućim promenama.

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Stojković Zlatanović, S., & Jovanović, P. (2023). Starenje radne snage i dostojanstven rad u eri digitalne ekonomije – ka holističkom javnopolitičkom pristupu. Stanovništvo, 61(1), 53–68. https://doi.org/10.2298/STNV230220001S
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God. 61 Br. 1 (2023)
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Ovaj rad je pod Creative Commons Autorstvo-Nekomercijalno 4.0 Internacionalna licenca.

Centar za demografska istraživanja Instituta društvenih nauka

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Reference

Abeliansky, A., Algur, E., Bloom, D., E., & Prettner, K. (2019). The future of work: challenges for job creation due to global demographic change and automation. Program on the Global Demography of Aging at Harvard University (Working Paper No. 180). http://www.hsph.harvard.edu/pgda/working/

Acemoglu, D., & Restrepo, P. (2017). Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation. American Economic Review: Papers & Proceedings, 107(5), 174–179. https://doi.org/10.1257/aer.p20171101

Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188-2244. https://doi.org/10.1086/705716

Alcover, C.M., Guglielmi, D., Depolo, M., & Mazzetti, G. (2021). “Aging-and-Tech Job Vulnerability:” A proposed framework on the dual impact of aging and AI, robotics, and automation among older workers. Organizational Psychology Review, 11(2), 175–201. https://doi.org/10.1177/2041386621992105

Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. Paris: OECD Publishing (OECD Social, Employment & Migration Working Papers No. 189). https://doi.org/10.1787/5jlz9h56dvq7-en

Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. The Quarterly journal of economics, 118(4), 1279–1333. https://doi.org/10.1162/003355303322552801

Autor, D., & Dorn, D. (2009). This Job is" Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure. The American Economic Review, 99(2), 45-51. https://doi.org/10.1257/aer.99.2.45

Barnett, K., Spoehr, J., & Parnis, E. (2008). Exploring the Impact of an Ageing Workforce on the South Australian Workers’ Compensation Scheme: Good practice in workplace age management. The South Australian WorkCover Corporation: University of Adelaide - The Australian Institute for Social Research (WorkCover SA 2008). https://digital.library.adelaide.edu.au/dspace/bitstream/2440/122939/1/Barnett_Exploring_P2008.pdf

Blackburn, D. (2006). The Role, Impact and Future of Labour Law - [Special Topic:] Labour Law: Its Role, Trends and Potential. Geneva: ILO Publishing. https://labordoc.ilo.org/permalink/41ILO_INST/1s2ok2m/alma993990453402676

Bordot, F. (2022). Artificial Intelligence, Robots and Unemployment: Evidence from OECD Countries. Journal of Innovation Economics and Management, 37, 117-138. https://doi.org/10.3917/jie.037.0117

Brynjolfsson, E., Mitchell, T., & Rock, D. (2018). What can machines learn, and what does it mean for occupations and the economy? AEA Papers and Proceedings, 108, 43–47. https://doi.org/10.1257/pandp.20181019

Cai, J., & Stoyanov, A. (2016). Population Aging and Comparative Advantage. Journal of International Economics, 102, 1–21. https://doi.org/10.1016/j.jinteco.2016.04.006

Ciutiene, R., & Railaite, R. (2015). Age Management as a Means of Reducing the Challenges of Workforce Aging. Inzinerine Ekonomika-Engineering Economics, 26(4), 391–397. https://doi.org/10.5755/j01.ee.26.4.7081

Coombs, C. R., Hislop, D., Barnard, S., & Taneva, S. (2017). Impact of artificial intelligence, robotics and automation technologies on work - rapid evidence review. London: Chartered Institute of Personnel and Development. https://www.voced.edu.au/content/ngv%3A80279

Dworschak, B., & Zaiser, H. (2014). Competences for cyber-physical systems in manufacturing-first findings and scenarios. Procedia CIRP, 25, 345–350. https://doi.org/10.1016/j.procir.2014.10.048

Eurofound (2021). The digital age: Implications of automation, digitisation and platforms for work and employment - Challenges and prospects in the EU series. Luxembourg: Publications Office of the European Union. https://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef21007en.pdf

European Commission (2020a) Proposal for a Council Recommendation on vocational education and training (VET) for sustainable competitiveness, social fairness and resilience 2020 (COM (2020) 275 final 2020/0137 (NLE)). https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=COM:2020:275:FIN

European Commission (2020b) Communication from the Commission to the European parliament, the Council, the European economic and social committee and the committee of the regions European, Skills Agenda for sustainable competitiveness, social fairness and resilience 2020 (COM (2020) 274 final). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52020DC0274

Fabisiak, J., & Prokurat, S. (2012). Age Management as a Tool for the Demographic Decline in the 21st Century: An Overview of its Characteristics. Journal of Entrepreneurship, Management and Innovation (JEMI), 8(4), 83-96. https://doi.org/10.7341/2012846

Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting & Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019

Fuei L. K. (2017). Automation, Computerization and Future Employment in Singapore. Journal of Southeast Asian Economies, 34(2), 388-399. https://www.jstor.org/stable/44684969

Goos, M., Manning, A., & Salomons, A. (2009). Job Polarization in Europe. The American Economic Review, 99(2), 58-63. https://doi.org/10.1257/aer.99.2.58

Goos, M., Manning, A., & Salomons, A. (2014). Explaining job polarization: Routine-Biased Technological Change and Offshoring. The American Economic Review, 104(8), 2509-2526. http://dx.doi.org/10.1257/aer.104.8.2509

Gutterman, A. (2022). Age - Responsive Human Rights Due Diligence. http://dx.doi.org/10.2139/ssrn.4111643

Hawksworth, J., Berriman, R., & Saloni., G. (2018). Will robots really steal our jobs? An international analysis of the potential long-term impact of automation. London: PricewaterhouseCoopers LLP. https://www.pwc.com/hu/hu/kiadvanyok/assets/pdf/impact_of_automation_on_jobs.pdf

International Labour Organization (ILO) (2019). World Employment Social Outlook: Trends 2019. Geneva: International Labour Office. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_670542.pdf

Kun, A. (2018). How to Operationalize Open Norms in Hard and Soft Laws: Reflections Based on Two Distinct Regulatory Examples. International Journal of Comparative Labour Law and Industrial Relations, 34(1), 23 – 51. https://doi.org/10.54648/ijcl2018002

Liu, Y., & Westelius, N. (2016). The Impact of Demographics on Productivity and Inflation in Japan. Washington: International Monetary Fund (IMF Working Paper 237, WP/16/237). https://doi.org/10.5089/9781475559712.001

McCorquodale, R., & Nolan, J. (2021). The Effectiveness of Human Rights Due Diligence for Preventing Business Human Rights Abuses. Netherlands International Law Review, 68, 455–478. https://doi.org/10.1007/s40802-021-00201-x

McKinsey & Company (2017). Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation. McKinsey Global Institute. https://www.mckinsey.com/~/media/BAB489A30B724BECB5DEDC41E9BB9FAC.ashx

Murphy K., & Welch, F. (1990). Empirical Age-Earnings Profiles. Journal of Labor Economics, 8(2), 202–29. https://doi.org/10.1086/298220

Nedelkoska, L., & Quintini, G. (2018). Automation, skills use and training. Paris: OECD Publishing (OECD Social, Employment and Migration Working Papers, No. 202). https://doi.org/10.1787/2e2f4eea-en

Pajarinen, M., & Rouvinen, P. (2014). Computerization Threatens One Third of Finnish Employment. ETLA (Brief No 22). http://pub.etla.fi/ETLA-Muistio-Brief-22.pdf

Pajarinen, M., Rouvinen, P., & Ekeland, A. (2015). Computerization Threatens One-Third of Finnish and Norwegian Employment. ETLA (Brief No 34.). http://pub.etla.fi/ETLA-Muistio-Brief-34.pdf

Parella, K. (2020). Hard and Soft law Preferences in Business and Human Rights. AJIL Unbound, 114, 168-173. https://doi.org/10.1017/aju.2020.33

Pedro, D. R. C., Fracasso, N. V., Costa, R.G., Rossaneis, M.A., Aroni, P., Haddad, M. D. C. F. L. (2020). Age management practices toward Workers Aged 45 Years or Older: An Integrative Literature Review. Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT, 18(2), 194-202. https://doi.org/10.47626/1679-4435-2020-536

Phiromswad, P., Srivannaboon, S., & Sarajoti, P. (2022). The interaction effects of automation and population aging on labor market. PLOS ONE, 17(2), e0263704. https://doi.org/10.1371/journal.pone.0263704

PwC (2021). The Potential Impact of Artificial Intelligence on UK Employment and the Demand for Skills. A report by PwC for the Department for Business, Energy and Industrial Strategy. London: PricewaterhouseCoopers (BEIS Research Report Number: 2021/042). https://www.gov.uk/government/publications/the-potential-impact-of-ai-on-uk-employment-and-the-demand-for-skills

Schinner, M., Calero Valdez, A., Noll, E., Schaar, A. K., Letmathe, P., & Ziefle, M. (2017). ‘Industrie 4.0’ and an Aging Workforce – A Discussion from a Psychological and a Managerial Perspective. In J. Zhou & G. Salvendy (Eds.), Human Aspects of IT for the Aged Population. Applications, Services and Contexts (pp. 537–556). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-58536-9_43

Taylor, M. B., Zandvliet, L., & Forouhar, M. (2009). Due Diligence for Human Rights: A Risk-Based Approach. Cambridge, MA: John F. Kennedy School of Government, Harvard University (Corporate Social Responsibility Initiative Working Paper No. 53). https://www.business-humanrights.org/en/latest-news/due-diligence-for-human-rights-a-risk-based-approach/

United Nations, Department of Economic and Social Affairs, Population Division (2019). World Population Prospects 2019: Volume II: Demographic Profiles. New York: United Nations (ST/ESA/SER.A/427). https://www.un.org/development/desa/pd/content/world-population-prospects-2019-volume-ii-demographic-profiles

Vinković, M. (2013). The role of soft law methods (CSR) in Labour law. In G. Kiss (Ed.), Recent Developments in Labour Law (pp. 93-109). Budapest: Akadémiai Kiadó Member Wolters Kluwer Group. https://mta-pte.ajk.pte.hu/downloads/mario_vinkovic.pdf

Walker, A. (2005). The Emergence of Age management in Europe. International Journal of Organisational Behaviour, 10 (1), 685-69. https://www.researchgate.net/publication/254134678_The_emergence_of_age_management_in_Europe