Inter-organizational knowledge transfer: the perspective of knowledge governance

September 29, 2013 Editor 0

Abstract

Purpose – The main purposes of this study are to develop a knowledge governance mechanism-fit-barrier matrix mode to resolve transfer problems resulting from knowledge characteristics and to clarify the relationship among knowledge characteristics, barriers of knowledge transfer, and effective knowledge transfer in inter-organizational contexts.Design/methodology/approach – The vast literature on knowledge transfer in inter-organizational context has been reviewed. Moreover, to develop a theoretical framework, the authors developed a set of arguments based on literature pertaining to the knowledge-based view of knowledge characteristics and barriers and the response of network to inter-organizational knowledge transfer.Findings – Knowledge-based view of knowledge characteristics and barriers and knowledge governance may provide a new understanding for network organizations seeking effective knowledge transfer strategies in inter-organizational context.Research limitations/implications – The main contribution to organizational theory is extending information-processing theory to form a new strategic model for inter-organizational knowledge transfer.Practical implications – The fit model of governance mechanisms may help managers to make effective strategies for inter-organizational knowledge transfer.Originality/value – Theoretically, this paper extends Information Processing Theory to inter-organizational relationships research. The developed model here also helps to explain the importance of cognitive dimensions for successful inter-organizational knowledge transfer. In KM practice, the proposed well-developed strategic models may help managers to link inter-organizational knowledge transfer processes to business strategy, and validate of the way to convert the goal of making their network organizations more intelligent into a strategic action.
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Categories: Knowledge Management

Tags: knowledge economy, knowledge transfer, Social information processing