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Knowledge sharing and protection in data-centric collaborations: An exploratory study

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  • Johannes P. Zeiringer
  • Stefan Thalmann

Abstract

Digital supply chains (SCs) and data-centric collaborations have boosted data exchange between companies and, combined with recent advancements in data science, have brought a new type of knowledge risks . This paper presents an exploratory interview study investigating knowledge risks in data-centric collaborations. The aim is to gain insights into the current perception and awareness of knowledge risks and approaches to data-centric collaborations to encounter them. The authors conducted 27 interviews with 15 experts in a two-stage semi-structured interview study. The first stage identified three kinds of approaches for managing knowledge risks in data-centric collaborations: (1) informal, (2) preventive and (3) proactive, which were validated in follow-up interviews. All three approaches lead to different perspectives of sharing and protecting knowledge within the digital SC and relate to the business model and the level of innovation within the organisation.

Suggested Citation

  • Johannes P. Zeiringer & Stefan Thalmann, 2022. "Knowledge sharing and protection in data-centric collaborations: An exploratory study," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 20(3), pages 436-448, May.
    • Handle: RePEc:taf:tkmrxx:v:20:y:2022:i:3:p:436-448
    DOI: 10.1080/14778238.2021.1978886
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