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

Johannes P. Zeiringer and Stefan Thalmann

Knowledge Management Research & Practice, 2022, vol. 20, issue 3, 436-448

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.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2021.1978886 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:20:y:2022:i:3:p:436-448

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1080/14778238.2021.1978886

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().