GOVERNANCE MECHANISM OF WEIGHTED NETWORK PRIMITIVES FOR NATIONAL MAJOR CLUSTER PROJECTS

Authors

  • Haojun Lei School of Management, Shanghai University, Shanghai, China
  • Yuwei Kang School of Management, Shanghai University, Shanghai, China
  • Xiankun Dou School of Management, Shanghai University, Shanghai, China

Keywords:

National major cluster project, Social network analysis (SNA), weighted motif, Governance mechanisms

Abstract

In order to optimize the stakeholder relationships of national major cluster projects and to improve cluster project network management, this study uses complex network theory to construct an undirected weighted network for projects of the National Quality Engineering Award, retrieves weighted 3-node and 4-node subgraphs, analyses the composition and practical significance of the subgraphs, and makes suggestions for network governance of national major cluster projects. The results show that contractual governance occupies a more central position in the network governance of cluster project organizations and that relational governance remains an important tool for improving cluster project management performance. Nevertheless, relational governance cannot replace contractual governance as the central position in the public project governance framework. A combination of both strategies can be used in the corresponding practical situations.

Published

2023-12-06

How to Cite

Lei, H., Kang , Y., & Dou, X. (2023). GOVERNANCE MECHANISM OF WEIGHTED NETWORK PRIMITIVES FOR NATIONAL MAJOR CLUSTER PROJECTS. Interdisciplinary Journal of Engineering and Environmental Sciences, 10(3), 1–10. Retrieved from https://sadijournals.org/index.php/ijees/article/view/611

Issue

Vol. 10 No. 3 (2023): July-September

Section

Articles
Copyright & Licensing