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Supply Chain Collaborative Innovation: Theoretical Evolution, Hotspot and Future Directions—Visual Analysis Based on CiteSpace

In: Liss 2023

Author

Listed:
  • Hao Shi

    (Xi’an University of Posts and Telecommunications)

  • Hongmei Shan

    (Xi’an University of Posts and Telecommunications)

  • Kaidi Wei

    (Xi’an University of Posts and Telecommunications)

  • Yanan Yao

    (Xi’an University of Posts and Telecommunications)

Abstract

Under the complex and turbulent economic and social environment, supply chain collaborative innovation (SCCI) has become an important way for enterprises to optimize supply chain structure and business processes, resolve major risks and realize sustainable development. This paper uses CiteSpace software to visually analyze the theoretical research of SCCI in China. The results show that: (1) The theoretical evolution of SCCI go through three stages: exploration period, development period and prosperity period. The exploratory stage focuses on the cause analysis of SCCI theory. The development period explores the application of SCCI from multiple fields. The theory of prosperous period closely follows the new technological change and industry 4.0 development trend. (2) The keyword co-occurrence analysis, shows the relationship between SCCI and industrial cluster, innovation performance, evolutionary game and other keywords, which provides guidance and suggestions for solving internal and external collaborative problems of domestic supply chain enterprises. (3) The new technological revolution and industry 4.0 era promote the theoretical research frontier to the direction of digital and intelligent SCCI, and promote the continuous deepening of the theoretical research results.

Suggested Citation

  • Hao Shi & Hongmei Shan & Kaidi Wei & Yanan Yao, 2024. "Supply Chain Collaborative Innovation: Theoretical Evolution, Hotspot and Future Directions—Visual Analysis Based on CiteSpace," Lecture Notes in Operations Research, in: Daqing Gong & Yixuan Ma & Xiaowen Fu & Juliang Zhang & Xiaopu Shang (ed.), Liss 2023, pages 90-98, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-4045-1_7
    DOI: 10.1007/978-981-97-4045-1_7
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