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Retrospection and prospect of embeddedness theory -- knowledge map analysis based on bibliometrics

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Abstract

The knowledge quantification of literature data realizes the analysis of embedded theoretical knowledge from micro to macro, from part to whole, and from special to general. This paper selects the embeddedness related literature included in the core database of web of science from 1985 to 2020 as the sample data, adopts the literature measurement method, analyzes the hot topics and research frontiers of embeddedness theory from the perspective of knowledge evolution, and excavates the evolutionary logic of embeddedness theory research. The research shows that the development and evolution of embeddedness field research is clear from the bilateral connection between economic system and social system to multilateral connection and then to complexity; The hot topics in this field focus on the improvement of theory itself and practical application, but show the phenomenon of interpretation generalization. In the future, it is necessary to carry out research from the aspects of grand theory, middle-level theory, empirical research and the relationship between the three in order to modify and improve the embedded theoretical system.

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  1. South University of Forestry and Technology, 410004, Changsha, China

    Liu Shan, Zhang Kun & Shang Jun-ru

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  1. Liu Shan
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  2. Zhang Kun
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  3. Shang Jun-ru
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Correspondence to Zhang Kun.

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Shan, L., Kun, Z. & Jun-ru, S. Retrospection and prospect of embeddedness theory -- knowledge map analysis based on bibliometrics. J. of Data, Inf. and Manag. 4, 57–70 (2022). https://doi.org/10.1007/s42488-022-00067-5

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