The Impact of Technology Management on Teaching Informatization Management in Zhejiang Province’s Education Industry Using Structural Equation Modeling

Authors

  • Weiwei Gao Program of Industrial Technology Management, Faculty of Industrial Technology, Muban Chombueng Rajabhat University, Thailand.
  • Tongtang Tonglim Program of Industrial Technology Management, Faculty of Industrial Technology, Muban Chombueng Rajabhat University, Thailand.
  • Chertchai Thurapaeng Program of Industrial Technology Management, Faculty of Industrial Technology, Muban Chombueng Rajabhat University, Thailand.

DOI:

https://doi.org/10.70917/ijcisim-2026-5035

Keywords:

Technology management, Teaching Management Informatization, structural equation modeling, Technical Risk Management, Zhejiang Province

Abstract

This study examines the impact of technology management on Teaching Management Informatization (TMI) in Zhejiang Province’s education industry using structural equation modeling. The objectives were to identify key technology-management factors influencing TMI, develop and analyze a structural equation model, and verify the practical use of the model in Wenzhou Business School, Zhejiang, China. The study used a mixed-method design. Quantitative data were collected through questionnaires from 432 complete respondents, including university students, parents, administrators, and instructors. Qualitative and verification data were obtained from stakeholders for model utilization. The model included five independent constructs: Technical Resource Management, Technical Organization Management, Technical Quality Management, Technical Risk Management, and Technical Capacity. TMI was the dependent construct. The results showed that the modified SEM fit the empirical data well (χ²/df = 1.347, CFI = 1.215, GFI = 0.911, AGFI = 0.943, TLI = 1.001, RMSEA = 0.065, and RMR = 0.061). All five factors had positive and significant direct effects on TMI. Technical Risk Management had the strongest effect (0.733), followed by Technical Quality Management (0.653), Technical Resource Management (0.608), Technical Organization Management (0.534), and Technical Capacity (0.462). The final equation was TMI = 0.608Tr + 0.534To + 0.653Tq + 0.733Tk + 0.462Tc, with R² = 0.704. The model explained 70.4 percent of the variance in TMI. Verification results supported its suitability and practical possibility. The study confirms that teaching informatization depends on integrated technology management rather than isolated digital investment.

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Published

2026-08-23

How to Cite

Weiwei Gao, Tongtang Tonglim, & Chertchai Thurapaeng. (2026). The Impact of Technology Management on Teaching Informatization Management in Zhejiang Province’s Education Industry Using Structural Equation Modeling. International Journal of Computer Information Systems and Industrial Management Applications, 18(2), 1834–1849. https://doi.org/10.70917/ijcisim-2026-5035

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Section

Original Articles