ifkad articles

Knowledge management practices to overcome network-level knowledge barriers: an artificial intelligence powered literature review

Vilma Vuori, Nina Helander

The lack of appropriate knowledge management practices for networks has consistently been found to be the most critical failure factor of inter-organisational collaboration. Identifying the typical barriers in network-level knowledge sharing is essential for developing expedient knowledge management practices for networks. This paper contributes to the issue by examining what kind of knowledge management practices to overcome network level knowledge sharing barriers are presented in literature. The study applies literature review that is carried out with a scholarly literature-exploration tool powered by artificial intelligence. The results of the literature review reveal that the number of articles that especially address knowledge management practices to overcome network level knowledge barriers is surprisingly limited. Many of the articles brought up knowledge sharing as the key activity in networks’ success, but left the question of how to reduce the knowledge barriers, and thus promote knowledge sharing in practice, unanswered. The paper concludes that there is a lack of articles that report research, developing or designing functional knowledge management practices that enable effective knowledge sharing on a network level. This underlines the existence of a research gap and the need for especially empirical research on the issue.

IN: Proceedings IFKAD 2019 – Knowledge Ecosystems and Growth
PP: 2026-2034