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

Ting Liu () and Liu Tang ()
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Ting Liu: School of Business, Xiangtan University
Liu Tang: School of Business, Xiangtan University

Scientometrics, 2020, vol. 124, issue 2, No 11, 1053-1080

Abstract: 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.

Keywords: Network embedding; Open innovation; Cite space; Enterprise innovation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11192-020-03520-7

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