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Understanding work experience in epidemic-induced telecommuting: The roles of misfit, reactance, and collaborative technologies.
Li, Boying; Xue, Chenyang; Cheng, Yue; Lim, Eric T K; Tan, Chee-Wee.
Afiliação
  • Li B; Nottingham University Business School China, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo, China.
  • Xue C; Centre for English Language Education, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo, China.
  • Cheng Y; School of Public Policy and Administration, Nanchang University, 999 Xuefu Road, Nanchang, China.
  • Lim ETK; UNSW Business School, University of New South Wales, Kensington, Australia.
  • Tan CW; Department of Digitalization, Copenhagen Business School, Howitzvej 60, 4.18, 2000 Frederiksberg, Denmark.
J Bus Res ; 154: 113330, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36188112
ABSTRACT
In the management of the global COVID-19 pandemic, the mandated closure of workplaces and stay-at-home orders have forced workers to adapt to a prolonged period of unplanned telecommuting, which we term epidemic-induced telecommuting. Although epidemic-induced telecommuting has drastically altered how work is conducted, scant attention is being paid to this emerging work arrangement. To this end, we combine psychological reactance theory and person-environment fit theory to advance the concept of misfit between worker and environment as a core determinant of employees' work experience in the epidemic-induced telecommuting. Particularly, we distinguish between supply-value and demand-ability misfits as constraints on workers' freedom at work. Having analyzed data collected through a survey administered on remote workers, we discovered that both misfits positively influenced workers' perceived psychological reactance, which led to work exhaustion and counter-productive behaviors. We also found that the utilization of collaborative technologies moderated the effects of misfit on workers' psychological reactance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Bus Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Bus Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China