Evidence map›Paper›PMID 35010555›Full record

ArticleInternational journal of environmental research and public health2021

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, Mihaela Diana Oancea-Negescu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Grigore BelostecinicAcademy of Economic Studies of Moldova (University), Kishinev MD-2005, Moldova.
Radu Ioan MogoșDepartment of Economic Informatics and Cybernetics, Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
Maria Loredana PopescuFaculty of Marketing, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
Sorin BurlacuFaculty of Administration and Public Management, Bucharest University of Economic Studies, 010374 Bucharest, Romania.ORCID 0000-0002-0189-2472
Carmen Valentina RădulescuFaculty of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.ORCID 0000-0002-9971-9618
Dumitru Alexandru BodislavDepartment of Economics and Economic Policies, Faculty of Theoretical and Applied Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
Florina BranFaculty of Agrifood and Environmental Economics, Bucharest University of Economic Studies, 010374 Bucharest, Romania.
Mihaela Diana Oancea-NegescuDepartment of Financial and Economic Analysis and Valuation, Faculty of Accounting and Management Information Systems, Bucharest University of Economic Studies, 010374 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Data MiningHumansPandemicsSARS-CoV-2Social ChangeTeleworkingdata mining analysiseconomic and social factorsteleworking

Identifiers

PMID35010555
PMCPMC8751029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.