A dynamic model of knowledge management in innovative technology companies : a case from the energy sector
Spanellis, Agnessa and MacBryde, Jillian and Dörfler, Viktor (2021) A dynamic model of knowledge management in innovative technology companies : a case from the energy sector. European Journal of Operational Research, 292 (2). pp. 784-797. ISSN 0377-2217 (https://doi.org/10.1016/j.ejor.2020.11.003)
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Abstract
This paper presents fresh insights into how medium to large innovative technology companies in the energy business evolve their knowledge management (KM) capability. To date existing models of KM have been static, while this work provides a more dynamic approach. The primary data is analysed using a combination of an operational research (OR) approach (causal mapping) with a well-established generic qualitative research method (the Gioia method). This paper contributes to KM literature by developing a dynamic model of KM, which shows how KM capability evolves over time within an organisation. In this model, KM evolves from managing explicit knowledge through knowledge sharing to creating new knowledge. Such understanding of KM as a process can help managers in decision making with respect to both KM and innovation activities.
ORCID iDs
Spanellis, Agnessa, MacBryde, Jillian ORCID: https://orcid.org/0000-0002-8624-6989 and Dörfler, Viktor ORCID: https://orcid.org/0000-0001-8314-4162;-
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Item type: Article ID code: 74526 Dates: DateEvent16 July 2021Published10 November 2020Published Online4 November 2020Accepted12 June 2019SubmittedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Faculty of Engineering > Design, Manufacture and Engineering Management
Strathclyde Business School > Management ScienceDepositing user: Pure Administrator Date deposited: 05 Nov 2020 16:13 Last modified: 11 Nov 2024 12:20 URI: https://strathprints.strath.ac.uk/id/eprint/74526