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Digital literacy of the elderly population and digitalization of enterprises: Experience of European countries

https://doi.org/10.32609/0042-8736-2020-12-104-124

Abstract

The article analyzes the digital literacy of the elderly population and digitalization of enterprises — important indicators of competitiveness — in the EU countries. The research methodology is based on Eurostat data and indicators of the composite index of digitalization of economy and society developed by the European Commission. The results of the comparative analysis show that the digitalization of enterprises and population in transition countries lags behind the developed EU countries. The digital literacy of the elderly population remains the lowest and lags behind the digital literacy of the younger population. At the same time, the higher the share of enterprises with a high level of digitalization in a country, the larger the share of elderly population with a basic level of digital literacy.

About the Author

L. I. Smirnykh
https://www.hse.ru/org/persons/66078
HSE University
Russian Federation

Larisa I. Smirnykh

Moscow



References

1. HSE ISSEK (2020). Digital technologies in the industry and in IT-sector. Moscow: HSE Institute for Statistical Studies and Economics of Knowledge. (In Russian). https://issek.hse.ru/news/368076191.html

2. NAFI (2020). Digital literacy of Russians: Study 2020. Moscow: NAFI Research Centre. (In Russian). https://nafi.ru/analytics/tsifrovaya-gramotnost-rossiyan-issledovanie-2020

3. Acemoglu D., Restrepo P. (2017). Secular stagnation? The effect of aging on economic growth in the age of automation. NBER Working Paper, No. 23077. https://doi.org/10.3386/w23077

4. Acemoglu D., Restrepo P. (2018). Demographics and Automation. NBER Working Paper, No. 24421. https://doi.org/10.3386/w24421

5. Axelrad H., James J. B. (2016). Employers’ attitudes toward older-worker job seekers: A comprehensive review with recommendations for action. In: A. Antoniou, R. Burke, C. Cooper (eds.). The aging workforce handbook: Individual, organizational, and societal challenges. Bingley: Emerald Group Publishing, pp. 489—512.

6. Balsmeier B., Woerter M. (2019). Is this time different? How digitalization influences job creation and destruction. Research Policy, Vol. 48, No. 8, 103765. https://doi.org/10.1016/j.respol.2019.03.010

7. Bechichi N., Grundke R., Jamet S., Squicciarini M. (2018). Moving between jobs: An analysis of occupation distances and skill needs. OECD Science, Technology and Industry Policy Papers, No. 52. Paris: OECD Publishing. https://doi.org/10.1787/d35017ee-en

8. Benešová A., Tupa J. (2017). Requirements for education and qualification of people in Industry 4.0. Procedia Manufacturing, Vol. 11, pp. 2195—2202. https://doi.org/10.1016/j.promfg.2017.07.366

9. Boehm S., Schröder H., Kunze F. (2013). Comparative age management: Т heoretical perspectives and practical implications. In: J. Field, R. Burke, C. Cooper (eds.). The Sage handbook of aging, work and society. London: Sage, pp. 211—237.

10. Boeri T., Garibaldi P., Moen E. (2016). A clash of generations? Increase in retirement age and labor demand for youth. CEPR Working Paper, No. DP11422.

11. Carretero S., Vuorikari R., Punie Y. (2017). DigComp 2.1: The digital competence framework for citizens with eight proficiency levels and examples of use. Luxembourg: Publications Office of the European Union. http://doi.org/10.2760/38842

12. Conen W., Henkens K., Schippers J. (2012). Employers’ attitudes and actions towards the extension of working lives in Europe. International Journal of Manpower, Vol. 33, No. 3, pp. 648—665. https://doi.org/10.1108/01437721211261804

13. European Commission (2020). Digital economy and society index 2020. http://www.Digital-agenda-data.eu

14. Frey K., Osborne M. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting & Social Change, Vol. 114, pp. 254—280. https://doi.org/10.1016/j.techfore.2016.08.019

15. Krings F., Sczesny S., Kluge A. (2011). Stereotypical inferences as mediators of age discrimination: Тhe role of competence and warmth. British Journal of Management, Vol. 22, No. 2, pp. 187—201. https://doi.org/10.1111/j.1467-8551.2010.00721.x

16. Kroon A., Van Selm M., Hoeven C., Vliegenthart R. (2018). Reliable and unproductive? Stereotypes of older employees in corporate and news media. Ageing & Society, Vol. 38, No. 1, pp. 166—191. https://doi.org/10.1017/S0144686X16000982

17. Loretto W., Vickerstaff S. (2015). Gender, age and flexible working in later life. Work, Employment and Society, Vol. 29, No. 2, pp. 233—249. https://doi.org/10.1177/0950017014545267

18. Naegele G., Walker A. (2006). A guide to good practice in age management. Luxembourg: Office for Official Publications of the European Communities.

19. Ng T., Feldman D. (2012). Evaluating six common stereotypes about older workers with meta-analytical data. Personnel Psychology, Vol. 65, No. 4, pp. 821—858. https://doi.org/10.1111/peps.12003

20. Nicholson P., Mayho G., Robson S., Sharp C. (2016). Ageing and the workplace. A report from the BMA Occupational Medicine Committee. London: British Medical Association.

21. Phillipson C. (2013a). Commentary: The future of work and retirement. Human Relations, Vol. 66, No. 1, pp. 143—153. https://doi.org/10.1177/0018726712465453

22. Phillipson C. (2013b). Reconstructing work and retirement: Labour market trends and policy issues. In: J. Field, R. Burke, C. Cooper (ed.). The Sage handbook of aging, work and society. London: Sage, pp. 445—460.

23. Phillipson C., Vickerstaff S., Lain D. (2016). Achieving fuller working lives: Labour market and policy issues in the United Kingdom. Australian Journal of Social Issues, Vol. 51, No. 2, pp. 187—203. https://doi.org/10.1002/j.1839-4655.2016.tb00373.x

24. Porcellato L., Carmichael F., Hulme C., Ingham B., Prashar A. (2010). Giving older workers a voice: Сonstraints on the employment of older people in the North West of England. Work, Employment and Society, Vol. 24, No. 1, pp. 85—103. https://doi.org/10.1177/0950017009353659

25. Posthuma R., Campion M. (2009). Age stereotypes in the workplace: Сommon stereotypes, moderators, and future research directions. Journal of Management, Vol. 35, No. 1, pp. 158—188. https://doi.org/10.1177/0149206308318617

26. Pouliakas K. (2018). Determinants of automation risk in the EU labour market: A skillsneeds approach. IZA Discussion Papers, No. 11829.

27. Taylor P., Earl C. (2016). The social construction of retirement and evolving policy discourse of working longer. Journal of Social Policy, Vol. 45, No. 2, pp. 251—268. https://doi.org/10.1017/S0047279415000665

28. Taylor P., Walker A. (1998). Employers and older workers: Аttitudes and employment practices. Ageing & Society, Vol. 18, No. 6, pp. 641—658. https://doi.org/10.1017/S0144686X98007119

29. Taylor P., Loretto W., Marshall V., Earl C., Phillipson C. (2016). The older worker: Identifying a critical research agenda. Social Policy and Society, Vol. 15, No. 4, pp. 675—689. https://doi.org/10.1017/S1474746416000221

30. Thijssen J., Rocco T. (2010). Development of older workers: revisiting policies. In: European Centre for the Development of Vocational Training. Working and ageing: Emerging theories and empirical perspectives. Luxembourg: Publications Office of the European Union, pp. 13—27.

31. Walker A. (2005). The emergence of age management in Europe. International Journal of Organizational Behavior, Vol. 10, No. 1, pp. 685—697.

32. Zheltoukhova K., Baczor L. (2016). Attitudes to employability and talent. London: Chartered Institute of Personnel and Development.


Review

For citations:


Smirnykh L.I. Digital literacy of the elderly population and digitalization of enterprises: Experience of European countries. Voprosy Ekonomiki. 2020;(12):104-124. (In Russ.) https://doi.org/10.32609/0042-8736-2020-12-104-124

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ISSN 0042-8736 (Print)