Documentation, Informaiton & Knowledge ›› 2023, Vol. 40 ›› Issue (2): 131-140.doi: 10.13366/j.dik.2023.02.131

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The Impact of Boundary-spanning on the Citations Based on Causal Inference

ZHENG Bili, HOU Jianhua   

  • Online:2023-03-10 Published:2023-05-09
  • Contact: Correspondence should be addressed to HOU Jianhua,Email:houjh5@mail.sysu.edu.cn, ORCID: 0000-0001-7080-7131
  • Supported by:
    This is an outcome of the project "Research on the Transfer Pattern of Basic Science Research Centers for Guangdong, Hong Kong and Macao Greater Bay Area and its Application"(2021A1515012291)supported by Department of Science and Technology Foundation of Guangdong Province.

Abstract: [Purpose/Significance] The differentiation, combination and fusion of knowledge are the driving force to stimulate scientific innovation and promote the development of science.This paper is concerned with the causal mechanism between boundary-spanning knowledge and citation counts based on knowledge combination perspective, which is of great significance for knowledge diffusion research. [Design/Methodology] Using propensity score matching, based on 2,860 papers of 5 journals in Scientometrics field during 2011-2015, and their backward as well as forward citation records, this research examines the impact of boundary-spanning papers on citation counts from the knowledge topic level. [Findings/Conclusion] The research results show that boundary-spanning has a positive effect on the citations of papers. Papers with a high degree of boundary-spanning may be cited about nine times more than papers with a lower degree boundary-spanning. The balance and common interval indicate the validity and reliability of the matching results. [Originality/Value] This paper reveals the internal relationship between the boundary spanning feature of papers and their citation counts, which provides necessary empirical support for exploring the flow of interdisciplinary knowledge and explaining the evolution of knowledge.

Keywords: Boundary-spanning, Causal inference, Citations, Propensity score matching, Interdisciplinary, Knowledge diffusion