Teleworking—An Economic and Social Impact during COVID-19 Pandemic: A Data Mining Analysis

Grigore Belostecinic, Radu Ioan Mogoș, Maria Loredana Popescu, Sorin Burlacu, Carmen Valentina Rădulescu, Dumitru Alexandru Bodislav, Florina Bran and Mihaela Diana Oancea-Negescu
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Grigore Belostecinic: Academy of Economic Studies of Moldova (University), Kishinev MD-2005, Moldova
Radu Ioan Mogoș: Department of Economic Informatics and Cybernetics, Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Maria Loredana Popescu: Faculty of Marketing, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Sorin Burlacu: Faculty of Administration and Public Management, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Carmen Valentina Rădulescu: Faculty of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Florina Bran: Faculty of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Mihaela Diana Oancea-Negescu: Department of Financial and Economic Analysis and Valuation, Faculty of Accounting and Management Information Systems, Bucharest University of Economic Studies, 010374 Bucharest, Romania

IJERPH, 2021, vol. 19, issue 1, 1-36

Abstract: The health crisis generated by the COVID-19 pandemic has induced, among other things, an increase in the importance of remote work or teleworking (TL) in the current period. The objective of this research is to identify the economic and social impact of telework in changing the behavior of employees in Romania. The research was conducted approximately one year after the onset of the pandemic until the beginning of the vaccination period in Romania. The research proposed includes three main directions of analysis of the extracted data, which are related to telework efficiency, this being considered one of the most important indicators for a company. In order to obtain conclusive results, we used a mixed methodology, combining results obtained through a survey based on a self-administered electronic questionnaire, with a data mining analysis. Detailed analysis of the groups identified based on work efficiency allowed us to highlight the most common employee profiles. This analysis was doubled by a second classification experiment, which provided us a more detailed analysis of the groups identified based on job satisfaction and highlighted the most common employee profiles. The expansion of telework in various economic areas is a result of adaptation to the new economic and social conditions caused by the COVID-19 pandemic.

Keywords: teleworking; economic and social factors; data mining analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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