- Assistant Professor
- Chen-Hsiang Hong
- Discipline: Supply Chain Management, Technology Management, Operations Management, Machine Learning, Explainable Artificial Intelligence (XAI), Semiconductor Industry and Ecosystem Analysis
- E-mail：chhong@ntnu.edu.tw
- Fax：02-2364-8372
Education: Ph.D. in Technology Management, Department of Business Administration, National Taiwan University
Personal Website: https://sites.google.com/view/hongailab
Industry Experience:
1. Taiwan Semiconductor Manufacturing Company (TSMC), Corporate Planning Organization (CPO), Ph.D.-Level Engineer / Researcher
2. Micron Technology, Operations Intelligence (OI), AI Application Engineer
3. Corning Display Technologies, Supply Chain Management Engineer
4. Texas Instruments (TI), Supply Chain Management and Data Analytics Engineer
- Chen-Hsiang Hong*, Ruey-Shan Guo, and Chialin Chen (2025, Oct). Uncovering the semiconductor industry’s hidden secret to success: A shapley values-guided dynamic network data envelopment analysis integrating eXtreme gradient boosting. Computers & Industrial Engineering, 208, 111284. (SCI, Q1, Impact Factor: 7.3)
- Chen-Hsiang Hong*, Han-Wei Chen, Chialin Chen (2026, Dec). AI-Enabled governance for sustainable cities: evaluating the credibility of urban climate disclosures and greenwashing risks. Sustainable Futures, 12, 102113. (Elsevier, Scopus, Q1, Impact Factor: 6.7)
- Chen-Hsiang Hong*, Yen-Zhen Liu, and Chialin Chen (2026, Aug). Context-dependent response patterns in generative AI: An audit of ChatGPT outputs across identity-sensitive decision scenarios. Computers in Human Behavior: Artificial Humans, 9, 100350. (Impact Factor: 4.9)
1. Chen-Hsiang Hong*, Yen-Zhen Liu, and Chialin Chen (2026, Nov). Bias Does Not Disappear but Reconfigures: A Research Framework for Diagnosing and Governing Fairness in Evolving Generative AI. 2026 INFORMS Annual Meeting, November 1-4, San Francisco, California, United States. (Accepted) (First Author, Corresponding Author)
2. Chen-Hsiang Hong*, Hsin-Pei Tsai, Ruey-Shan Guo, Tzu-Chien Wang (2026, Jul). How Firms Reconfigure Supply Chains under Sustained Heightened Uncertainty: Structural Drivers of Risk and Resilience in Taiwan. 2026 International Conference on Innovation and Management, July 14-17, Kanazawa, Japan. (First Author, Corresponding Author)
3. Chen-Hsiang Hong*, Chialin Chen and Ruey-Shan Guo (2025, Oct). Uncovering Key Success Factors in Leading Semiconductor Enterprises: A Hybrid Approach Using Data Envelopment Analysis and Machine Learning. 2025 INFORMS Annual Meeting, October 26-29, Atlanta, Georgia, United States. (First Author, Corresponding Author)