On the Impact of Computerization on Social Job Content of Specialists

Publication type Article
Status Published
Occupation: Prof.
Affiliation: National Research University “Higher School of Economics”
Address: Russian Federation, Moscow
Occupation: Assist. Prof.
Affiliation: National Research University “Higher School of Economics”
Address: Russian Federation, Moscow
Occupation: Prof.
Affiliation: National Research University “Higher School of Economics”
Address: Russian Federation, Moscow
Journal nameSotsiologicheskie issledovaniya
EditionIssue 9

Digitalization of work often changes dramatically job content and conditions with social consequences that central for this research. The presumption that changes in technology determine social and individual work attitudes, self-development and professional growth was tested within empirical study. Basing on the data of standardized survey of Russian specialists (1110 employees in Russian companies) social and personal development was taken as one of the consequences of postindustrial work conditions. Scope of digital and computer technologies use and different characteristics of social organization of work represent independent determinants. Results of the empirical study showed that the use of computer and digital technologies is not significantly associated with autonomy, initiative, professional development and does result in an increased job satisfaction. While characteristics of the social organization of work were found to be significant determinants, namely organizational orientation on meritocratic principles in employment, remuneration and career, involvement of professionals in decision-making process, professional and achievement standards of work behavior are linked to initiatives, autonomy, professional and career growth. The study also showed that though computer technology is relatively widespread on job places, nature and scope of its implementation are limited to simple functions.

Keywordsdigitalization, computerization, work behavior, Russian employees
AcknowledgmentThis research was supported by grants from the National Research University – Higher School of Economics (HSE) through the Basic Research Program.
Publication date21.09.2020
Number of characters14927
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