Interdisciplinary Research Governance and Sustainable Development Pathways in Universities in Shanghai: A KOEAP Model-Based Empirical Analysis
- DOI
- 10.2991/978-94-6239-733-0_17How to use a DOI?
- Keywords
- interdisciplinary research; governance mechanisms; KOEAP model; sustainable development; hub disciplines; social network analysis; AI-empowered empirical analysis; higher education policy
- Abstract
This study develops and empirically tests the Knowledge-Organization-Environment Analytical Processing (KOEAP) model to explore interdisciplinary governance mechanisms in Shanghai universities. Using panel data from 13 universities, 47 interdisciplinary programs, 34,862 publications, and policy documents from 2015-2024, this study employs AI-enhanced methods including deep clustering, graph neural networks (GNNs), BERTopic, and ensemble learning. Findings reveal: (1) three patterns of interdisciplinary development—advantage-derived, frontier-oriented, and characteristic-cultivating; (2) seven key hub disciplines, with computer science as the top bridge (degree 0.62); (3) organizational collaboration shows the strongest effect (β=0.24, p<0.01), moderated by environmental support (β=0.28, p<0.01); (4) a four-dimensional sustainability framework. This study contributes to interdisciplinary governance theory and offers practical insights for building sustainable interdisciplinary ecosystems.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yan Xia PY - 2026 DA - 2026/07/17 TI - Interdisciplinary Research Governance and Sustainable Development Pathways in Universities in Shanghai: A KOEAP Model-Based Empirical Analysis BT - Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026) PB - Atlantis Press SP - 145 EP - 156 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6239-733-0_17 DO - 10.2991/978-94-6239-733-0_17 ID - Xia2026 ER -