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

被引:24
作者
Belostecinic, Grigore [1 ]
Mogos, Radu Ioan [2 ]
Popescu, Maria Loredana [3 ]
Burlacu, Sorin [4 ]
Radulescu, Carmen Valentina [5 ]
Bodislav, Dumitru Alexandru [6 ]
Bran, Florina [5 ]
Oancea-Negescu, Mihaela Diana [7 ]
机构
[1] Acad Econ Studies Moldova Univ, MD-2005 Kishinev, Moldova
[2] Bucharest Univ Econ Studies, Fac Econ Cybernet Stat & Informat, Dept Econ Informat & Cybernet, Bucharest 010374, Romania
[3] Bucharest Univ Econ Studies, Fac Mkt, Bucharest 010374, Romania
[4] Bucharest Univ Econ Studies, Fac Adm & Publ Management, Bucharest 010374, Romania
[5] Bucharest Univ Econ Studies, Fac Agrifood & Environm Econ, Bucharest 010374, Romania
[6] Bucharest Univ Econ Studies, Fac Theoret & Appl Econ, Dept Econ & Econ Policies, Bucharest 010374, Romania
[7] Bucharest Univ Econ Studies, Fac Accounting & Management Informat Syst, Dept Financial & Econ Anal & Valuat, Bucharest 010374, Romania
关键词
teleworking; economic and social factors; data mining analysis;
D O I
10.3390/ijerph19010298
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:36
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