TY - JOUR
T1 - Inter-organizational knowledge transfer
T2 - The perspective of knowledge governance
AU - Fang, Shih Chieh
AU - Yang, Chen Wei
AU - Hsu, Wen Yen
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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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U2 - 10.1108/JKM-04-2013-0138
DO - 10.1108/JKM-04-2013-0138
M3 - Review article
AN - SCOPUS:84886503907
SN - 1367-3270
VL - 17
SP - 943
EP - 957
JO - Journal of Knowledge Management
JF - Journal of Knowledge Management
IS - 6
ER -