2020
DOI: 10.1108/tlo-01-2020-0003
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Organizational forgetting Part II: a review of the literature and future research directions

Abstract: Purpose The purpose of this two-part paper is to provide a summary of current research opportunities in organizational forgetting literature and a future research agenda. Design/methodology/approach The summary of current research opportunities and future research agenda is drawn from the systematic literature review and synthesis rep… Show more

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Cited by 8 publications
(16 citation statements)
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“…Aiming to create a comprehensive data set as well as avoid potential overlooking of any important empirical contributions on KLT, this review followed the practice of including articles published in both 3-, 4-or 4*-level journals and 1-and 2-level journals ranked by AJG 2018 (Mariano et al, 2020a). Based on the previous reviews of organizational forgetting literature (Klammer & Gueldenberg, 2019;Mariano et al, 2020aMariano et al, , 2020b, it was deemed appropriate to consider a broader range of journals for building a data set for this Knowledge loss induced by turnover review, thus covering all subfields within which business and organization research is published according to AJG 2018.…”
Section: Methodsmentioning
confidence: 99%
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“…Aiming to create a comprehensive data set as well as avoid potential overlooking of any important empirical contributions on KLT, this review followed the practice of including articles published in both 3-, 4-or 4*-level journals and 1-and 2-level journals ranked by AJG 2018 (Mariano et al, 2020a). Based on the previous reviews of organizational forgetting literature (Klammer & Gueldenberg, 2019;Mariano et al, 2020aMariano et al, , 2020b, it was deemed appropriate to consider a broader range of journals for building a data set for this Knowledge loss induced by turnover review, thus covering all subfields within which business and organization research is published according to AJG 2018.…”
Section: Methodsmentioning
confidence: 99%
“…These damaging consequences include, however, are not limited to deterioration of organizational knowledge base (Daghfous et al, 2013), loss of organizational identity (Ciuk & Kostera, 2010) and overall decrease in performance and productivity (Brymer & Sirmon, 2018). Mariano et al (2020aMariano et al ( , 2020b distinguish between two types of accidental forgettingknowledge depreciation, i.e. a more gradual knowledge decay, and knowledge loss, or more immediate knowledge disappearance.…”
Section: Introductionmentioning
confidence: 99%
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“…A great deal of the research that focuses on phasing out (disinvestment) and closely related concepts such as "de-implementation", "reassessment", "priority setting", "de-adaption", or "resource allocation" are technically oriented and are focused on technological systems in health care (Garner et al, 2013;Rushmer & Davies, 2004). Concepts such as "un-learning", "re-learning", "de-learning", and "de-institutionalization" are suggested but only discussed to a limited extent, in particular when compared with the literature that is solely focused on management (Becker, 2019;Durst et al, 2020;Mariano et al, 2020a;Mariano et al, 2020b;Sharma & Lenka, 2019). A particular problem is the extensive and ambiguous terminology used to describe phasing out in social welfare services, and researchers have identified 43 closely related concepts (Gnjidic & Elshaug, 2015).…”
Section: The Relationship Between Implementation and De-implementationmentioning
confidence: 99%
“…Employee turnover may sometimes be considered as a desirable event that could reduce cost and eliminate outdated and counterproductive knowledge. It might even be the result of a planned downsizing that aims at unlearning predetermined knowledge, hence an intentional knowledge loss (Mariano et al , 2020). Schulz (2001) went even further and appropriately called for enabling the loss of the type of knowledge that hinders further learning, while preventing the loss of the type of knowledge that increases also learning and performance.…”
Section: Managing the Risk Of Knowledge Loss In The Scm Functionmentioning
confidence: 99%