Examining the impact of Covid-19 on employee performance and future aspirations in the context of digital economy

dc.authorscopusid57383676100
dc.authorscopusid57909485700
dc.authorscopusid29067693200
dc.authorscopusid56968118600
dc.authorwosidDWC-0948-2022
dc.authorwosidGNA-0585-2022
dc.authorwosidERQ-4875-2022
dc.authorwosidAAL-4307-2021
dc.contributor.authorIsac, Nicoleta
dc.contributor.authorAkide, Mazna
dc.contributor.authorDobrin, Cosmin
dc.contributor.authorDinulescu, Ruxandra
dc.contributor.authorIsac, Nıcoleta
dc.date.accessioned2024-01-22T10:32:26Z
dc.date.available2024-01-22T10:32:26Z
dc.date.issued2022
dc.departmentİşletme ve Yönetim Bilimleri Fakültesi
dc.departmentLisansüstü Eğitim Enstitüsü
dc.descriptionJEL Classification: J 24, J 81, M 54
dc.description.abstractWith the lockdowns caused by the Covid-19 pandemic, many organizations became forced to adopt and adapt to working from home. This paper is proposed to investigate the impact of home-working during the lockdowns on Arab employees' performance in Istanbul/Turkey and to analyze their preferences in terms of proceeding working from home or the workplace after the pandemic ends. The data were collected using an online semi-structured questionnaire. The Virtual snowball sampling was used to collect data, and the research sample included 255 Arab respondents residing in Istanbul/ Turkey. The explanatory factor analysis (EFA) technique was used to reduce the number of variables and the ordinal logistic regression analysis was used to analyze the effect of respondents' characteristics, socio-demographic, socio-economic variables on the performance of employees. In contrast, the multinomial logistic regression analysis was used to investigate the impact of the same factors on the target employees' preferences towards working place after working from home experience during the lockdowns. The results find that employees' age, their experience years, and the motivation by their colleagues and managers had a statistical influence on the performance. However, employees' gender, the number of children they have, motivation, family conditions, work environment, and the sector they work in had no statistically significant influence on their performance during the lockdown. According to our results, parental status, experience years, colleagues' and managers' motivation, and work environment had a statistical influence on employees' preference towards working place. On the other side, the distance from employees' home to the workplace, their gender, the number of children, and age did not significantly impact working place preference.
dc.identifier.doi10.24818/18423264/56.2.22.07
dc.identifier.endpage114
dc.identifier.issn0424-267X
dc.identifier.issn1842-3264
dc.identifier.issue2
dc.identifier.orcidNicoleta Isac |0000-0001-9435-7083
dc.identifier.orcidRuxandra Dinulescu |0000-0002-9290-815X
dc.identifier.orcidCosmin Octavian Dobrin |0000-0002-8866-9643
dc.identifier.scopus2-s2.0-85138904276
dc.identifier.scopusqualityQ3
dc.identifier.startpage95
dc.identifier.urihttps://doi.org/10.24818/18423264/56.2.22.07
dc.identifier.urihttps://hdl.handle.net/20.500.12436/5608
dc.identifier.volume56
dc.identifier.wosWOS:000819597400007
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorIsac, Nicoleta
dc.institutionauthorAkide, Mazna
dc.language.isoen
dc.publisherBucharest University of Economic Studies
dc.relation.ispartofEconomic Computation and Economic Cybernetics Studies and Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEmployee performance
dc.subjectWorking place preferences
dc.subjectTeleworking
dc.subjectCovid-19
dc.titleExamining the impact of Covid-19 on employee performance and future aspirations in the context of digital economy
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationa665323b-4a72-4e4e-8e52-d9de1b08c8e4
relation.isAuthorOfPublication.latestForDiscoverya665323b-4a72-4e4e-8e52-d9de1b08c8e4

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