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Open innovation from the perspective of network embedding: knowledge evolution and development trend

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Abstract

This paper is an attempt of using co-citation analysis to sort out and to analyze the development and evolution of a latest hot area, open innovation from the perspective of network embedding. A dataset of 1437 records published between 1990 and 2019 is collected from Web of Science database. The empirical results show the latest hot topics in the open innovation study focus on innovation performance and value creation. In addition, we make a new interpretation of open innovation from four aspects: innovation and entrepreneurship, resource acquisition, knowledge sharing and innovation performance, then combines the importance of network embedding to the innovation and development of enterprises, and proposes the future research direction of open innovation. Our research in this paper is helpful to systematically sort out the knowledge context of open innovation, which is of great significance to the construction and development of open innovation knowledge system. The conclusions and implications in this paper will be particularly illuminating for both academic research and enterprises’ practice application.

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Acknowledgements

I am very grateful to my instructor Professor Liu for valuable comments and suggestions throughout the research process. This research has been supported by the National Natural Science Foundation of China (71303204); Social Science Jury Committee Project of Hunan Province (XSP17YBZZ112); Social Science Foundation of Hunan Province (15WTC05).

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  1. School of Business, Xiangtan University, Xiangtan, 411105, China

    Ting Liu & Liu Tang

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Liu, T., Tang, L. Open innovation from the perspective of network embedding: knowledge evolution and development trend. Scientometrics 124, 1053–1080 (2020). https://doi.org/10.1007/s11192-020-03520-7

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