Linking University Students' Green Entrepreneurial Start-up Ideas with Enterprise Decision-Making: A Hybrid GANTT-EFAS-Fuzzy AHP-TOPSIS Framework

This study proposes an integrated multi-criteria decision-making framework combining GANTT, EFAS, Fuzzy AHP and TOPSIS to select green entrepreneurial start-up ideas proposed by university students and to extend their applicability to enterprise-level decision-making. Data were collected from 1,000 students at 50 public and private universities in Hanoi. The evaluation system comprises 13 green assessment criteria covering economic, market, resource feasibility and sustainability dimensions. EFAS is used to analyze the external environment, Fuzzy AHP is employed to determine criterion weights under uncertainty, and TOPSIS is applied to rank four groups of ideas: commerce, services, agriculture-forestry-fisheries, and manufacturing. The results indicate that commerce receives the highest priority, followed by services, agriculture, and manufacturing. This pattern reflects the suitability of low-investment, flexible and market-accessible business models under resource-constrained conditions. The study provides practical implications for enterprises in selecting investment directions, optimizing resources and mitigating risks. It also contributes by linking student-based idea evaluation with enterprise-level decision-making.