The Mechanism of Industry-University Integration in Private Universities: A Realistic Multiply Case Study

Min Zhao; Ting Yang; Ying Fu; Qiang Zhong

doi:10.62177/jetp.v2i4.905

Authors

Min Zhao Macao University of Tourism
Ting Yang Macao Polytechnic University
Ying Fu Nanchang Institute of Technology
Qiang Zhong Nanchang Institute of Technology

DOI:

https://doi.org/10.62177/jetp.v2i4.905

Keywords:

Private Higher Education Institutions, Industry-Education Integration, Business Administration Education, Case Studies, Realistic Evaluation

Abstract

This study aims to reveal the core mechanisms driving effective industry-education integration in Business Administration programs at private universities in China, and to elucidate the specific mechanisms, contextual conditions, and causes that produce desired outcomes. The research adopts a realist evaluation paradigm and a multiple-case study design, conducting in-depth interviews with four distinct private universities and applying replication logic to construct and refine a "Context-Mechanism-Outcome" (CMO) configuration. It identifies three core mechanisms: collaborative governance, curriculum integration, and a dual-mentor system. These are not universally applicable but, depending on contextual factors like resource endowment and industry traction, combine to form three effective models: high-intensity integration, agile adaptation, and strategic focus.Theoretically, this study advances a contingency theory that shifts the understanding of industry-education integration from a static, universal perspective to a dynamic and context-sensitive one. Practically, the CMO framework serves as a diagnostic tool for designing contextualized strategies, with specific recommendations including the promotion of "lightweight project templates" and a "micro-certificate" system. The originality of this study lies in its application of realist methodology and replication logic to construct a robust causal model for industry-education integration, providing a reform roadmap for resource-constrained private universities—from strategic diagnosis to mechanism design.

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