Assessing and Mitigating the Risk of Critical Knowledge Loss in Organizations: Insights from COVID-19 and the Great Resignation

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dc.contributor.authorJennex, Murray
dc.contributor.authorDurcikova, Alexandra
dc.contributor.authorIlvonen, Ilona
dc.contributor.authorBabb, Jeffry
dc.date.accessioned2023-12-26T18:47:03Z
dc.date.available2023-12-26T18:47:03Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.663
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othera7ed52c3-ec42-4682-8999-893f6d6c09cc
dc.identifier.urihttps://hdl.handle.net/10125/107048
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th 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.subjectSecuring Knowledge, Innovation, and Entrepreneurial Systems and Managing Knowledge Risks
dc.subjectknowledge loss
dc.subjectknowledge management
dc.subjectrisk management
dc.titleAssessing and Mitigating the Risk of Critical Knowledge Loss in Organizations: Insights from COVID-19 and the Great Resignation
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis study addresses the challenges of knowledge loss and employee turnover caused by the COVID-19 pandemic. Retaining critical knowledge is essential for organizational success, but remote work and the "Great Resignation" have disrupted knowledge sharing. The goal of this research is to modify Jennex's (2014) knowledge loss risk model to accommodate these changes. By reviewing literature on the "Great Resignation" and previous studies on knowledge loss, hypotheses for new contributing factors are proposed. A survey was conducted to investigate these factors, revealing four significant influences on employee departure: the absence of remote work or flexible hours, provision of equipment and technical support for remote work, preference for flexible hours based on household size, and the need for high-speed internet for remote work. These findings will be incorporated into the Jennex knowledge loss risk predictor model.
dcterms.extent10 pages
prism.startingpage5522

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