ПЕРЕХОД К ДИСТАНЦИОННОЙ РАБОТЕ В УСЛОВИЯХ ПАНДЕМИИ: ОПЫТ МЕЖСТРАНОВОГО НАРРАТИВНОГО АНАЛИЗА

科研成果: Article同行评审

摘要

The implementation of the task of developing tools for assessing the impact of social pollution of labor relations on the well-being of employees in the conditions of digitalization of the economy determines the need to use a wide range of methods. In this article, we present an overview of the methodological base of narrative analysis. The empirical part of the article presents the results of the analysis of narrative interviews of Russian and Italian employees who were transferred to telework in the context of the COVID-19 pandemic. The study was conducted in August 2020. According to the results of the analysis, both employees and employers are not ready to switch to effective telework quickly. A comparison of the experience of Russia and Italy showed a lag in the field of legislative regulation of telework, which can be partially overcome by amendments to the Labor code from 2021. These narratives indicate the predominance of advantages of remote work over disadvantages, and interest in this form due to its flexibility. The method of narrative analysis is based on the principles of trust, freedom and informal presentation. The authors prove the need to include narrative analysis in the tools for assessing the impact of social pollution of labor relations on the well-being of employees in the conditions of digitalization of the economy. Narrative analysis complements traditional methods of research on social and labor relations and allows you to deepen the study of issues related to the well-being of employees. The results of the research can be used to understand the advantages and disadvantages of telework in the digital economy.
投稿的翻译标题TRANSITION TO TELEWORK IN THE CONTEXT OF PANDEMIC: EXPERIENCE OF CROSS-COUNTRY NARRATIVE ANALYSIS
源语言Russian
页(从-至)32-40
页数9
期刊Вестник Омского университета. Серия: Экономика
19
1
DOI
Published - 2021

GRNTI

  • 06.00.00 ECONOMY AND ECONOMIC SCIENCES

Level of Research Output

  • VAK List

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