dc.contributorNawaser, Khaled
dc.creatorHakkak, M.
dc.creatorNawaser, Khaled
dc.creatorVafaei Zadeh, A.
dc.creatorHanifah, H.
dc.date.accessioned2021-07-06T00:19:59Z
dc.date.available2021-07-06T00:19:59Z
dc.date.created2021-07-06T00:19:59Z
dc.date.issued2021
dc.identifierHakkak, M., Nawaser, K., Vafaei-Zadeh, A. & Hanifah H. (2021). Determination of Optimal Leadership Styles through Knowledge Management: A Case from the Automotive Industry. International Journal of Innovation and Technology Management, 18(4). https://doi.org/10.1142/S0219877021500127
dc.identifier0219-8770
dc.identifierhttps://hdl.handle.net/20.500.12724/13531
dc.identifierInternational Journal of Innovation and Technology Management
dc.identifierhttps://doi.org/10.1142/S0219877021500127
dc.description.abstractThis study proposed a model to examine the impact of various leadership styles on knowledge management. This case study identified the best leadership style, which can affect the key factors of the knowledge management success. The statistical population was composed of all staff of the Pars Khodro Company headquarters in Iran, in which 226 people were accordingly chosen as the sample. The required data for examining research hypotheses were also collected using questionnaire. Results revealed the impact of leadership styles on knowledge management. The transformational leadership style was consequently found to have a positive and significant impact on the knowledge management key success factors, in contrast with other leadership styles including self-management, pragmatic, conservative and structure-based.
dc.languageeng
dc.publisherWorld Scientific
dc.publisherSG
dc.relationurn:issn:0219-8770
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional - Ulima
dc.sourceUniversidad de Lima
dc.subjectLiderazgo
dc.subjectGestión del conocimiento
dc.subjectIndustria y comercio del automóvil
dc.subjectLeadership
dc.subjectKnowledge management
dc.subjectAutomobile industry and trade
dc.titleDetermination of Optimal Leadership Styles through Knowledge Management: A Case from the Automotive Industry
dc.typeinfo:eu-repo/semantics/article


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