Online Employer Reviews as a Data Source: A Systematic Literature Review

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dc.contributor.authorHöllig, Christoph
dc.date.accessioned2020-12-24T19:54:10Z
dc.date.available2020-12-24T19:54:10Z
dc.date.issued2021-01-05
dc.description.abstractEmployees generate a rich source of information by publishing employer reviews online. However, researchers seeking to harness employer review data face an elusive body of research to build on. Therefore, I present a systematic, multidisciplinary literature review, presenting the information obtained from employer reviews, the research topics covered, and the data sources used. My analysis of 28 peer-reviewed journal articles shows that studies extract insider knowledge, information on employee satisfaction and changes in employee satisfaction, insights into workplace culture, and linguistic style from employer reviews. Studies do so to predict firm performance, to explore employee satisfaction factors, and to uncover the linguistic style of employer reviews. Glassdoor is the primary data source used. Finally, I identify five avenues for further research.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.527
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71144
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFirm and User Generated Content in the Digital Economy: Key Players, Management and Impact
dc.subjectuser-generated content
dc.subjectemployee-generated content
dc.subjectonline employer reviews
dc.subjectonline reviews
dc.titleOnline Employer Reviews as a Data Source: A Systematic Literature Review
prism.startingpage4341

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Firm and User Generated Content in the Digital Economy: Key Players, Management and Impact