A dynamic model of knowledge management in innovative technology companies: A case from the energy sector

Agnessa Spanellis, Jillian MacBryde and Viktor Dӧrfler
Authors registered in the RePEc Author Service: Viktor Dörfler

European Journal of Operational Research, 2021, vol. 292, issue 2, 784-797

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.

Keywords: Knowledge-based systems; Knowledge management; Innovation; Knowledge sharing; Causal mapping (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:292:y:2021:i:2:p:784-797

DOI: 10.1016/j.ejor.2020.11.003

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