DEVELOPMENT OF A SUPPLY CHAIN INNOVATION TRAINING CURRICULUM THROUGH ENGINEERING DATA ANALYSIS FOR UNDERGRADUATE STUDENTS IN PRIVATE HIGHER EDUCATION INSTITUTIONS IN THAILAND
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Abstract
This research aims to 1) Investigate supply chain innovation knowledge, engineering data analytics, and training needs of undergraduate students in Thai private higher education institutions to develop practically applicable training curricula for supply chain systems, and 2) Pilot test and evaluate curriculum effectiveness using E₁/E₂ efficiency criteria of no less than 80/80 and an Effectiveness Index (E.I.) of no less than 60%. This research and development (R&D) study was systematically designed with three comprehensive units: 1) Digital-era supply chain concepts and innovation, 2) Engineering data analytics methodologies, and 3) Practical learning using Business Intelligence (BI) Tools. The sample comprised 200 third and fourth-year undergraduate students from private higher education institutions, selected through criteria-based sampling methodology. Data collection was conducted via online and offline questionnaires with clear objective explanations provided beforehand to ensure understanding. A subset of 30 students was randomly selected from the total sample as the experimental training group. Results were analyzed using pre-test/post-test assessments and t-tests to compare learning achievement outcomes effectively. The findings revealed that the curriculum achieved E₁/E₂ efficiency values of 85.12/87.35 and an average E.I. of 72.80%, significantly exceeding the established criteria with statistical significance. This demonstrates the curriculum's suitability for practical implementation across university levels, industrial sectors, and BI-Based Learning systems comprehensively. The results clearly reflect connections to digital skill development in modern industrial contexts and align with Sustainable Development Goals (SDGs) 9 and 12 respectively. The curriculum's effectiveness suggests its potential for enhancing student competencies in data-driven decision-making and supply chain management, addressing the growing demand for digitally skilled professionals in Thailand's evolving industrial landscape. This research contributes significantly to bridging the gap between academic education and industry requirements through innovative, technology-integrated training approaches that prepare students for the challenges of Industry 4.0 and digital transformation in global supply chains and modern logistics.
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