Constraints, mechanisms, and strategies for industry-education integration in vocational education: An empirical study
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PLOS One | https://doi.org/10.1371/journal.pone.0339158 December 18, 2025 14 / 18 obligations of vocational institutions and enterprises in IEI should be clearly defined to regulate their conduct while safe- guarding their interests. Second, an evaluation and assessment mechanism should be established to enable comprehen- sive, process-based management, supervision, and evaluation of vocational institutions’ efforts in advancing IEI, thereby increasing institutional commitment. Third, the government should introduce incentive policies, such as rewards and tax benefits, by formulating a clear list of measures for enterprise participation to encourage deeper engagement in IEI. 4.2. Vocational institution: Strengthening the foundation of university-enterprise collaboration The results indicate that weak prior collaboration between vocational institutions and enterprises is another major constraint. To facilitate healthy and sustainable development, vocational institutions should focus on establishing and con- solidating early-stage partnerships to deepen and solidify collaboration. vocational institutions can strengthen university- enterprise collaboration through the following approaches: First, they should proactively seek partnerships with industry-leading enterprises, engaging in joint research and development, curriculum design, work-integrated learning (e.g., internships), and other collaborative activities. Second, vocational institutions and enterprises should jointly establish
industry-academia-research innovation platforms to tackle key technological challenges, assisting enterprises in solving real-world technical problems. Third, vocational institutions should customize employee training and continuing education programs based on enterprise needs, enhancing workforce upskilling and supporting high-quality enterprise development. Table 6. Constraining pathways to IEI development in vocational education. No. Constraining pathway 1 The completeness of policies→The clarity of school-enterprise responsibilities and rights→IEI 2 The completeness of policies→The level of attention given by universities→The degree of teacher involvement→IEI 3 The completeness of policies→The level of attention given by universities→The fluidity of school-enterprise cooperation channels→The willingness of enterprises to cooperate→IEI 4 The completeness of policies→The level of attention given by universities→The adequacy of hardware and software facilities→The align- ment of talent cultivation quality→The willingness of enterprises to cooperate→IEI 5 The closeness of prior university-enterprise collaboration→The degree of teacher involvement→IEI 6 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The degree of teacher involvement→IEI 7 The closeness of prior university-enterprise collaboration→The willingness of enterprises to cooperate→IEI 8 The closeness of prior university-enterprise collaboration→The fluidity of school-enterprise cooperation channels→The willingness of enter-
prises to cooperate→IEI 9 The closeness of prior university-enterprise collaboration→The alignment of talent cultivation quality→The willingness of enterprises to cooperate→IEI 10 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The willingness of enterprises to cooperate→IEI 11 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The alignment of talent cultivation quality→The willingness of enterprises to cooperate→IEI 12 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The differences in talent cultivation philosophies→The willingness of enterprises to cooperate→IEI 13 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The fluidity of school-enterprise cooperation channels→The willingness of enterprises to cooperate→IEI 14 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The achievement of school-enterprise mutual interests→The willingness of enterprises to cooperate→IEI 15 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The differences in talent cultivation philosophies→The alignment of talent cultivation quality→The willingness of enterprises to cooperate→IEI 16 The closeness of prior university-enterprise collaboration→The effectiveness of school-enterprise communication→The clarity of school-
enterprise responsibilities and rights→IEI https://doi.org/10.1371/journal.pone.0339158.t006
PLOS One | https://doi.org/10.1371/journal.pone.0339158 December 18, 2025 15 / 18 4.3. Enterprise: Proactively assuming educational responsibilities The findings also suggest that weak enterprise willingness to collaborate is a direct constraint, primarily due to unmet expectations regarding benefits. Thus, enterprises should move beyond a purely profit-driven mindset, recognize the long-term value of IEI, and actively contribute to educational development by fostering a corporate culture conducive to deeper collaboration. First, enterprises should engage in collaborative talent development, such as co-establishing modern industrial colleges with vocational institutions to cultivate high-quality applied talent. To address cost concerns that may hinder enterprise participation, a clear cost-sharing framework could be adopted: enterprises may primarily invest in industry-relevant equipment, on-site training venues, and part-time enterprise instructors, while vocational institutions take charge of curriculum design, full-time faculty allocation, and daily operation management. This division balances resource input and aligns with each party’s core strengths. Additionally, enterprises should leverage policy incentive support—such as applying for government subsidies for industry-education integration projects or tax deductions for educational invest- ments—to offset partial costs, thereby enhancing the economic feasibility of joint modern industrial college establishment.
They should also provide in-service training and continuous education to ensure employees’ skills remain aligned with industry advancements. Second, enterprises should contribute educational resources, such as instructors, equipment, and training bases, to enhance students’ practical skills while improving resource utilization efficiency. Third, enterprises should encourage employees to participate in vocational institution teaching and student mentoring, strengthening corpo- rate social responsibility while enhancing employees’ professional and leadership competencies. 5. Conclusions IEI is a critical strategic measure for advancing vocational education development. However, with the acceleration of industrial upgrading and technological transformation, the mismatch between traditional talent cultivation models and mar- ket demands has become increasingly prominent, necessitating an in-depth clarification of the constraints hindering IEI in vocational education. Therefore, this study takes Shenzhen, China, as an empirical case to systematically explore the constraints, mechanisms, and strategies for IEI in vocational education. The findings reveal 12 constraining factors, cat- egorized into five hierarchical levels, forming 16 constraining pathways. Specifically, imperfect policies and weak prelimi- nary industry-education collaboration are identified as deep-rooted factors. These influence intermediate factors such as institutional commitment and communication effectiveness, ultimately manifesting as surface-level issues, including insuffi-
cient corporate engagement and ambiguous rights-responsibility allocation between stakeholders. Notably, corporate will- ingness to participate is affected by nine distinct pathways, emerging as the core bottleneck impeding IEI implementation. In summary, this study’s primary contribution lies in its empirical identification of a multi-level constraint system for IEI, with corporate participation as the central barrier. A key innovation is the precise revelation of 16 influencing pathways, which systematically uncovers the underlying mechanisms—from policy and foundational collaboration to intermediate linkages and final outcomes—thereby providing a comprehensive theoretical basis for formulating targeted promotion strategies. To effectively promote IEI in vocational education, collaborative efforts from the government, vocational institutions, and enterprises are essential. The government should strengthen institutional safeguards, vocational institutions must consoli- date the foundation for industry collaboration, and enterprises ought to actively fulfill their educational responsibilities. However, this study has limitations. It focuses exclusively on Shenzhen, China, a global manufacturing hub and national educational reform pilot with unique industrial agglomeration, such as high-tech and advanced manufacturing, and policy support, which may restrict the generalizability of findings to regions with different economic structures or institutional environments. Additionally, it neglects sectoral variations in IEI: manufacturing, including electronics and
automotive parts, relies on formalized, equipment-intensive IEI models, such as long-term internships, while construction prioritizes project-based, flexible collaborations, leading to heterogeneous impacts of identified constraints. For exam- ple, policy clarity is more critical for manufacturing, while communication effectiveness is more important for construc- tion. Future research can address these limitations by: 1) expanding to cross-regional or cross-country comparisons, for
PLOS One | https://doi.org/10.1371/journal.pone.0339158 December 18, 2025 16 / 18 instance, comparing Shenzhen with Guangzhou, or China with Germany’s dual-system, to test constraint mechanism generalizability; 2) conducting industry-specific studies, such as optimizing equipment-sharing policies for manufacturing, designing stable contracts for construction, and exploring skill mismatch in service sectors like healthcare; and 3) integrat- ing mixed methods, including quantitative surveys across sectors and qualitative longitudinal enterprise cases, to refine constraint pathways, thereby providing a more context-aware understanding of IEI development. Supporting information S1 Text. Score statistics of potential constraining factors. (DOCX) S2 Text. Demographic information of the interviewees. (DOCX) Author contributions Conceptualization: Bo Yu. Data curation: Chun Xu. Formal analysis: Siyuan Zhang, Peng Mao. Funding acquisition: Jing Shi. Investigation: Bo Yu, Siyuan Zhang, Jing Shi, Gang Wu. Methodology: Bo Yu. Project administration: Ruipu Li. Resources: Ruipu Li, Peng Mao, Chun Xu, Jing Shi, Gang Wu. Software: Siyuan Zhang. Validation: Peng Mao. Visualization: Chun Xu. Writing – original draft: Bo Yu. Writing – review & editing: Ruipu Li, Gang Wu. References 1. Lin H, Nie S, Wu P, Yuan M, Yu M, Tam V. Megaproject responsible innovation: Concept, framework, and governance. Front Eng Manag. 2025;12(3):653–68. 2. Yu C, Jin H. Labor agglomeration, industrial structure upgrading and low-carbon economic development. Financ Res Lett. 2025;74:106703.
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