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Innovative Research on the Talent Cultivation Model for Big Data Innovation and Entrepreneurship through Industry-Education Integration and University-Enterprise Collaboration

Author(s)

Liangxing He1, Meijuan Zhao2,*, Xiangyu Yu3

Affiliation(s)

1School of Business Administration, Innovation & Entrepreneurship Research Center, Nanjing University of Finance & Economics, Nanjing Jiangsu, China; 2International Business School, Nanhang Jincheng College, Nanjing Jiangsu, China 3UniDT Technology (Shanghai) Co., Ltd, Shanghai, China *Corresponding Author.

Abstract

With the rapid development of the digital economy, the big data industry faces a prominent imbalance between talent supply and demand, as traditional education models struggle to meet industry requirements for innovation and entrepreneurship talent. This paper focuses on the collaborative mechanisms of industry-education integration and university-enterprise partnerships, systematically analyzing four core issues in current big data talent cultivation: the disconnection between curriculum systems and industrial needs, insufficient depth in university-enterprise collaboration, lagging innovation in teaching methods, and weak practical capabilities of faculty. To address these challenges, the study proposes a "Four-Chain Integration" collaborative education ecosystem. This model includes reconstructing curricula through industry chain alignment, empowering teaching with research achievements via innovation chains, optimizing blended digital teaching modes through education chains, and establishing industry-education evaluation mechanisms via talent chain closure. The research further proposes safeguard systems, including a quaternary governance ecosystem, dual-cycle resource pools, and dynamic adjustment mechanisms, to deepen the integration of education and industry chains. Future efforts should expand international cooperation, integrate generative AI and metaverse technologies, and strengthen interdisciplinary collaboration to build a more adaptive big data talent cultivation ecosystem. This paper provides theoretical and practical insights for addressing industry-education integration challenges and enhancing innovation and entrepreneurship education quality.

Keywords

Industry-Education Integration; School-Enterprise Collaboration; Big Data; Innovation; Entrepreneurship

References

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