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Do Individual Characteristics Influence the Types of Technostress Reported by Workers?

dc.contributor.authorMarchiori, Danilo Magno
dc.contributor.authorMainardes, Emerson Wagner
dc.contributor.authorRodrigues, Ricardo
dc.date.accessioned2018-03-23T12:12:10Z
dc.date.available2018-03-23T12:12:10Z
dc.date.issued2018-03-22
dc.date.updated2018-03-23T10:52:54Z
dc.description.abstractBased on the perspective that the diversity of the workforce has implications for attitudes and behaviors at the individual and group levels, this article examines the role of individual differences related to gender, age, formal education, and length of professional experience in the levels of stress caused by the use of information technology (IT) in the daily activities of workers. This phenomenon, termed in the literature as technostress, is studied by identifying and measuring the factors that create technostress (the technostress creator factors: techno-uncertainty, techno-invasion, techno-overload, and techno- complexity). The technostress phenomenon is related to the most varied types of disorders in workers and losses in organizations, such as fatigue, dissatisfaction, anxiety, and reduced productivity. To achieve the goal of this research, we applied structural equation models in a sample of 927 questionnaires completed by 14 different Brazilian public institutions that were distributed among all regions of the country and that were strongly dependent on IT for their main business processes. The results indicate that workers’ demographic characteristics relate to one another differently and specifically with the various forms of manifestation of technostress. More precisely, older workers or those with longer professional experience reported greater difficulties with the increase of technological complexity for the execution of tasks (techno-complexity). Women reported being subject to higher levels of techno- complexity and techno-uncertainty, while men indicated feeling greater effects from techno-overload and techno-invasion. We did not detect differences related to the levels of formal education of workers. This study presents the implications of the results for theory and for the everyday life of modern organizations that are increasingly dependent on the use of IT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier1044-7318en_US
dc.identifier.citationMarchiori, Danilo Magno; Mainardes, Emerson Wagner; Rodrigues, Ricardo Gouveia. Do Individual Characteristics Influence the Types of Technostress Reported by Workers?, International Journal of Human–Computer Interaction, ., 1-13, 2018.pt_PT
dc.identifier.doi10.1080/10447318.2018.1449713pt_PT
dc.identifier.issn1044-7318
dc.identifier.issn1044-7318
dc.identifier.urihttp://hdl.handle.net/10400.6/4713
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectTechnostresspt_PT
dc.subjectIndividual Differencespt_PT
dc.subjectDiversitypt_PT
dc.subjectStructural Equation Modelspt_PT
dc.subjectMIMICpt_PT
dc.titleDo Individual Characteristics Influence the Types of Technostress Reported by Workers?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Human–Computer Interactionpt_PT
person.familyNameMarchiori
person.familyNameMainardes
person.familyNameRodrigues
person.givenNameDanilo
person.givenNameEmerson
person.givenNameRicardo
person.identifier.ciencia-id6216-A58F-B062
person.identifier.orcid0000-0002-7386-9706
person.identifier.orcid0000-0003-2525-275X
person.identifier.orcid0000-0001-6382-5147
person.identifier.ridL-6018-2018
person.identifier.ridA-7722-2010
person.identifier.scopus-author-id57191975818
person.identifier.scopus-author-id35772768800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4089ada3-ef30-443c-b13c-5a89c6eedc03
relation.isAuthorOfPublication94701b17-051b-4bef-8704-7873c2d95683
relation.isAuthorOfPublicationc3092198-6fff-4b9f-9c6f-93b3ca3ab4ee
relation.isAuthorOfPublication.latestForDiscovery4089ada3-ef30-443c-b13c-5a89c6eedc03

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