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Published in: Cluster Computing 4/2019

03-03-2018

Research on the strategic alliance innovation system evolution mechanism: the perspective of knowledge flow

Authors: Jianyu Zhao, Luan Dong, Xi Xi

Published in: Cluster Computing | Special Issue 4/2019

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Abstract

In the present study, a new framework was established for studying the evolution of strategic alliance innovation system. Based on data from 514 questionnaires, knowledge absorption capacity, knowledge potential, and knowledge transfer capacity were extracted to constitute variables for strategic alliance innovation system, and incentive mechanism was taken as a control variable for system evolution. A dynamic system evolution model was established based on the correlations between variables, for the purpose of analyzing correlations between knowledge absorption capacity, knowledge potential, knowledge transfer capacity and their evolution trends under incentives of different intensities. The following findings were obtained: Incentive mechanism can promote the evolution of strategic alliance innovation system, and strong incentives can shorten the cycle of system evolution. In the evolution of strategic alliance innovation system, knowledge absorption capacity is a core variable dominating system evolution and is positively correlated with knowledge transfer capacity. The gap between knowledge sources and recipients gradually narrows, and there is a critical value of knowledge potential for improving knowledge absorption capacity and knowledge transfer capacity. Under the premise of enhanced knowledge absorption capacity, the evolution of the innovation system is more stable when knowledge transfer capacity and knowledge potential reach a relatively balance state.

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Metadata
Title
Research on the strategic alliance innovation system evolution mechanism: the perspective of knowledge flow
Authors
Jianyu Zhao
Luan Dong
Xi Xi
Publication date
03-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 4/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2113-3

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