#4782. Knowledge sharing and protection in data-centric collaborations: An exploratory study

July 2026publication date
Proposal available till 26-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Library and Information Sciences;
Management Information Systems;
Business and International Management;
Strategy and Management;
Management of Technology and Innovation;
Management Science and Operations Research;
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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.
Keywords:
Data-centric collaboration; digital SC; knowledge protection; knowledge sharing

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