A dynamic model of knowledge management in innovative technology companies : A case from the energy sector
Spanellis, Agnessa and MacBryde, Jillian and Dörfler, Viktor (2020) A dynamic model of knowledge management in innovative technology companies : A case from the energy sector. European Journal of Operational Research. ISSN 0377-2217
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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.
Creators(s): |
Spanellis, Agnessa, MacBryde, Jillian and Dörfler, Viktor ![]() | Item type: | Article |
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ID code: | 74526 |
Keywords: | knowledge management, innovation, knowledge sharing, causal mapping, Management. Industrial Management, Modelling and Simulation, Management Science and Operations Research, Information Systems and Management |
Subjects: | Social Sciences > Industries. Land use. Labor > Management. Industrial Management |
Department: | Faculty of Engineering > Design, Manufacture and Engineering Management Strathclyde Business School > Management Science |
Depositing user: | Pure Administrator |
Date deposited: | 05 Nov 2020 16:13 |
Last modified: | 21 Jan 2021 11:02 |
URI: | https://strathprints.strath.ac.uk/id/eprint/74526 |
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