Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95075
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorSumbal, MSen_US
dc.creatorTsui, Een_US
dc.creatorCheong, Ren_US
dc.creatorSee-to, EWKen_US
dc.date.accessioned2022-09-13T03:38:09Z-
dc.date.available2022-09-13T03:38:09Z-
dc.identifier.issn1367-3270en_US
dc.identifier.urihttp://hdl.handle.net/10397/95075-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Sumbal, M.S., Tsui, E., Cheong, R. and See-to, E.W.K. (2018), "Critical areas of knowledge loss when employees leave in the oil and gas industry", Journal of Knowledge Management, Vol. 22 No. 7, pp. 1573-1590 is published by Emerald and is available at https://dx.doi.org/10.1108/JKM-08-2017-0373en_US
dc.subjectCritical areasen_US
dc.subjectDeparting employeesen_US
dc.subjectKnowledge lossen_US
dc.subjectOil and gasen_US
dc.titleCritical areas of knowledge loss when employees leave in the oil and gas industryen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author’s file: Critical Areas of Knowledge Loss When Employees Depart in the Oil and Gas Sectoren_US
dc.identifier.spage1573en_US
dc.identifier.epage1590en_US
dc.identifier.volume22en_US
dc.identifier.issue7en_US
dc.identifier.doi10.1108/JKM-08-2017-0373en_US
dcterms.abstractPurpose: The purpose of this paper is to investigate the critical types of knowledge lost when employees depart companies in the oil and gas field.en_US
dcterms.abstractDesign/methodology/approach: The study adopts a grounded theory methodology. Twelve semi-structured interviews were conducted with elite informants in the oil and gas sector to gain an in-depth insight into the research problem. ATLAS.ti was used for data analysis and coding.en_US
dcterms.abstractFindings: In the oil and gas industry, employees generally have job rotation and work at various geographical locations during their career. The departing employees possess valuable types of knowledge depending on the role and duties they have performed over the years. These include specialized technical knowledge, contextual knowledge of working at different geographical locations, knowledge of train wrecks and history of company, knowledge of relationships and networks, knowledge of business processes and knowledge of management.en_US
dcterms.abstractResearch limitations/implications: The study findings might only be applicable to the oil and gas sector.en_US
dcterms.abstractOriginality/value: This paper fulfills an identified gap on the identification of critical areas of knowledge loss when employees depart from oil and gas companies. The study adds to the existing body of literature on this underexplored area in the knowledge management literature.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of knowledge management, 2018, v. 22, no. 7, p. 1573-1590en_US
dcterms.isPartOfJournal of knowledge managementen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85047397404-
dc.identifier.eissn1758-7484en_US
dc.description.validate202209 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1686-
dc.identifier.SubFormID45798-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Sumbal_Knowledge_Loss_Employees.pdfPre-Published version1.12 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

111
Last Week
0
Last month
Citations as of Apr 14, 2025

Downloads

280
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

42
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

30
Citations as of Dec 19, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.