The relationship between school innovation climate and teacher innovation behavior in higher vocational colleges: the chain mediating role of teacher job crafting and creative self-efficacy

As the global landscape of vocational education undergoes rapid structural transformations driven by industry digitalization and the push for high-quality talent cultivation, the demands placed on higher vocational educators have expanded exponentially. Recent empirical research has shed light on the exact psychological and behavioral mechanisms that drive classroom innovation among educators in these institutions. Grounded in the well-established Job Demands-Resources (JD-R) framework, a comprehensive study conducted by researchers X. Jin, P. Tian, and X. Yang investigated how institutional environments translate into tangible pedagogical advancements, highlighting the critical sequential mediating roles played by proactive work design and personal confidence.

Background Context and Research Imperatives

Modern higher vocational education differs fundamentally from traditional academic settings. Instructors must routinely synchronize classroom instruction with hands-on practice, adapt to continuous shifts in occupational technologies, and seamlessly integrate industry-education cooperation into their curricula. Consequently, teacher innovation behavior—defined as an educator’s proactive tendency to explore new teaching philosophies, methodologies, and technologies to enhance student engagement—has emerged as a vital metric of institutional vitality and adaptability.

However, prior educational research has often examined institutional support, psychological beliefs, and proactive behaviors in isolation. Understanding how an innovation-supportive school environment interacts with an educator’s internal drive has remained a critical knowledge gap. To address this, the research team sought to map a unified analytical pathway, determining whether external organizational support must first trigger proactive adjustments by teachers and bolster their creative self-assurance before translating into actual classroom innovations.

Methodology and Sample Demographics

To uncover these underlying mechanisms, the research team executed a rigorous quantitative survey using the Wenjuanxing online platform between May and June 2026. The study gathered data from 603 validated respondents across three higher vocational colleges located in Henan Province.

Prior to deployment, sample-size adequacy was confirmed using both the standard 10-to-1 ratio for measurement items and an a priori statistical power analysis via G*Power 3.1, which set a conservative minimum threshold of 430 participants. Out of 642 total distributed questionnaires, 603 valid responses were retained after exhaustive data cleaning, yielding an effective response rate of 93.93%.

The demographic breakdown of the participant pool reflected a diverse cross-section of the vocational education sector:

• Gender: 262 men (43.4%) and 341 women (56.6%).
• Age distribution: Educators aged 51 and older constituted the largest single bracket at 33.2%, followed by those aged 41 to 50 (25.0%), 31 to 40 (21.1%), and 30 or younger (20.7%).
• Professional fields: Science, engineering, and medicine teachers represented 41.8% of the sample, arts and physical education accounted for 30.8%, and humanities, economics, and management made up 27.4%.
• Teaching experience: The highest concentration of participants held 11 to 15 years of experience (27.0%), closely followed by those with 16 or more years (24.4%).
• Educational backgrounds: Master’s degree holders accounted for 36.8%, bachelor’s degrees for 35.5%, doctorates for 22.2%, and associate degrees for 5.5%.
• Professional titles: Intermediate titles comprised 39.8%, junior titles 27.2%, associate senior titles 18.6%, and full senior titles 14.4%.

Preliminary demographic analyses revealed statistically significant variations in teacher innovation behavior across gender, professional category, and educational background, prompting researchers to control for these variables in subsequent statistical modeling.

Key Empirical Findings and Statistical Breakdown

Data analysis was conducted using SPSS 27.0 and AMOS 27.0, leveraging descriptive statistics, confirmatory factor analysis (CFA), hierarchical regression, and Model 6 of the PROCESS macro with 5,000 bootstrap resamples. The results provided robust statistical backing for all four hypothesized relationships:

1. Direct Association: School innovation climate demonstrated a strong, statistically significant positive correlation with teacher innovation behavior (total effect estimate of 0.602; direct effect estimate of 0.171, p < 0.001), confirming Hypothesis 1. When institutions foster an environment that rewards creativity and offers material and structural support, educators are far more likely to experiment with novel pedagogical techniques.
2. The Mediating Role of Job Crafting: Job crafting—the proactive adjustment of tasks, cognitive framing, and professional relationships—served as a significant mediator, accounting for an indirect effect of 0.260, or 43.16% of the total effect (Hypothesis 2).
3. The Mediating Role of Creative Self-Efficacy: An educator’s confidence in their ability to design creative curricula and overcome instructional challenges also acted as a vital independent mediator, registering an indirect effect of 0.097, or 16.18% of the total effect (Hypothesis 3).
4. Sequential Chain Mediation: Most notably, the data confirmed a significant sequential pathway where school innovation climate first encourages job crafting, which subsequently builds creative self-efficacy, ultimately driving innovation behavior. This chain mediation pathway accounted for an indirect effect of 0.074, representing 12.31% of the total effect (Hypothesis 4).

Institutional Implications and Recommendations

The implications of these findings extend far beyond theoretical model-building, offering actionable guidance for higher vocational institutions aiming to modernize their instructional frameworks.

First, college administrators must move beyond merely demanding instructional reform and actively cultivate an institutional climate that provides tangible structural support. This includes refining internal evaluation policies to reward pedagogical experimentation, securing adequate resources for project-based learning, and fostering robust platforms for industry-education integration.

Second, educational leaders should empower instructors to engage in job crafting. By granting educators the autonomy to optimize their teaching arrangements, adjust course designs to fit real-world industry shifts, and collaborate closely with enterprise mentors, institutions can stimulate proactive behaviors that organically bridge the gap between external resources and classroom execution.

Finally, bolstering creative self-efficacy must become a core component of faculty development programs. Implementing peer-mentoring networks, sharing exemplary teaching case studies, and establishing constructive feedback mechanisms can significantly enhance teachers’ confidence in their creative capabilities.

Broader Analytical Perspectives

Experts evaluating the study note that while the cross-sectional design limits strict causal inferences over extended timelines, the integration of the JD-R framework provides a sophisticated lens for understanding modern faculty development. By establishing that institutional resources do not operate in a vacuum—requiring both proactive behavioral crafting and psychological self-assurance to manifest as innovation—the research establishes a new benchmark for empirical studies in vocational education psychology. Future research directions are expected to incorporate longitudinal tracking, multi-source evaluations (including student and peer assessments), and cross-institutional sampling to further generalize these insights across diverse educational landscapes.