Jaeseog Na | Supply Chain Management | Best Researcher Award

Published on by Business Global

Assist. Prof. Dr. Jaeseog na | Supply Chain Management | Best Researcher Award

Assistant professor at Duksung Women’s University | South Korea

Dr. Jaeseog Na is an Assistant Professor of Business Administration at Duksung Women’s University, Seoul, South Korea. His research focuses on empirical operations management, supply chain management, corporate finance in operations, value chain sustainability, and innovation. He has published extensively in high-impact journals such as Production Planning & Control, Engineering Management Journal, Journal of Manufacturing Technology Management, and International Journal of Production Research. Dr. Na’s work explores behavioral and financial factors influencing operations strategy, ESG performance, and organizational resilience.

Profiles

Scopus

ORCID

Google Scholar

Educational Background 

Dr. Jaeseog Na earned his Ph.D. in Management Engineering with a specialization in Operations Strategy and Management Science from the Korea Advanced Institute of Science and Technology (KAIST),where his doctoral research focused on “Behavioral Factors in Operations Management and Corporate Governance” under the supervision of Dr. Bowon Kim. He also holds an M.Sc. in Management Engineering from KAIST,  with a thesis titled “Effects of Operations Factors on M&A in Manufacturing,” also advised by Dr. Bowon Kim. Prior to his graduate studies, he obtained a B.S. degree with a dual major in Electronic and Electrical Engineering and Business Administration from Sungkyunkwan University.

Professional Experience 

Dr. Jaeseog Na is currently an Assistant Professor of Business Administration at Duksung Women’s University in Seoul, South Korea. In this role, he has taught a range of courses including Production & Operations Management, Management Science, Business Analytics (Python-based), Big Data Analysis, and Supply Chain Strategy. Prior to this, he served as a Research Professor at Sogang University and as a Visiting Professor at Sookmyung Women’s University. He also lectured at Duksung Women’s University and Sungkonghoe University, delivering courses in operations and data-driven management. Beyond academia, Dr. Na has led industry projects as Project Manager, notably for the Bank of Korea, focusing on the solar energy supply chain in Chungcheongbuk-do, and for KORON Pharma, where he developed production management solutions based on simulation and line scheduling.

Research Interests

  • Operations Management & Supply Chain Strategy

  • Corporate Finance Factors in Operations & ESG Integration

  • Behavioral Operations & Managerial Overconfidence

  • Value Chain Sustainability & Greenhouse Gas Reduction

  • Innovation & Technological Diversification in Operations

Publications

COO’s overconfidence and the firm’s inventory performance

Year: 2021|Citation: 24

Effects of CEO and COO overconfidence on the firm’s inventory leanness

Year: 2022| Citation : 19

Institutional investment horizon and corporate technological diversification

Year: 2023| Citation: 9

Strategic effects of supply chain inventories on sales performance

Year: 2021| Citation: 6

Effect of customer concentration on firms’ operating performance during the COVID-19 pandemic

Year: 2024 | Citation: 3

Conclusion

Dr. Jaeseog Na’s academic achievements, innovative research contributions, and industry-oriented expertise make him a strong candidate for the Best Researcher Award in Supply Chain Management. His work significantly advances understanding in operations strategy, corporate governance, and sustainability, contributing to both scholarly literature and real-world practices. With a proven track record of impactful publications, successful projects, and dedicated teaching, he exemplifies excellence in academia. Continued global engagement and expansion into cutting-edge research areas will further elevate his influence and contributions. Recognizing Dr. Na with this award would honor a scholar whose work drives meaningful advancements in the field of supply chain management.

Shuai Deng | Supply Chain Management | Best Researcher Award

Published on by Business Global

Mr. Shuai Deng | Supply Chain Management | Best Researcher Award

Mr. Shuai Deng, Hunan Institute of Technology, China

Dr. Deng Shuai, Ph.D., is an Associate Professor at the School of Safety and Management Engineering, Hunan Institute of Technology, China. With a robust academic and research background in logistics, supply chain optimization, and intelligent decision systems, he has developed cutting-edge frameworks for industrial applications across manufacturing and logistics sectors. Passionate about advancing technology in sustainable and secure data systems, Dr. Deng has emerged as a recognized figure in supply chain intelligence, combining academic rigor with real-world innovation.

🌟 Profile

Scopus

🎓 Education

Dr. Deng earned his Ph.D. in Logistics and Supply Chain Management from Central China Normal University (2015–2018), where he focused on intelligent optimization algorithms and simulation-based systems. His doctoral research laid the foundation for his later work in integrating AI into collaborative and secure supply chains.

💼 Professional Experience

Currently serving as an Associate Professor at Hunan Institute of Technology, Dr. Deng has pioneered hybrid intelligent decision systems tailored for dynamic industrial environments. His contributions span simulation-driven optimization using platforms like NetLogo, AnyLogic, Vensim, and MATLAB. His applied research focuses on demand forecasting, distributed logistics, and multi-domain scheduling systems, and he is recognized for bridging theoretical research with practical system deployments.

🔬 Research Interests

Dr. Deng’s research interests include data security and privacy preservation 🔐, collaborative management in supply chains 🔄, and intelligent optimization algorithms powered by deep learning and reinforcement learning 🧠. He also explores multi-scale simulation systems for complex manufacturing and logistics operations 🔧, seeking to enhance resilience and efficiency in global supply networks.

🏆 Awards

Dr. Deng has received recognition for his impactful research through multiple publications in top-tier SCI/SSCI journals and international conference proceedings. His work continues to influence both academic and industrial communities, with growing citation metrics and collaborations.

📚 Selected Publications

Deng S., Gong Y., Tang Q., et al. (2025). An item-level RFID investment decision in green supply chain considering information leakage. International Journal of Information Systems and Supply Chain Management.

Deng S., Li Y., Guo H., et al. (2016). Solving a closed-loop location-inventory-routing problem with mixed quality defects returns in E-commerce by hybrid ant colony optimization algorithm. Discrete Dynamics in Nature and Society.

Deng S., Li Y., Zhou T., et al. (2015). Study on recyclable reserve logistics network optimization based on E-commerce.

Deng S., Zhou D., Wu G., et al. (2023). Evolutionary game analysis of three parties in logistics platforms and freight transportation companies’ behavioral strategies for horizontal collaboration. Complex & Intelligent Systems.

Li C., Guo H., Zhang Y., et al. (2018). An improved differential evolution algorithm for a multicommodity location-inventory problem with false failure returns. Complexity.

Li Y., Deng S., Zhang Y., et al. (2018). Coordinating the retail supply chain with item-level RFID and excess inventory under a revenue-cost-sharing contract. International Transactions in Operational Research.

Shi W., Deng S. (2022). Process reduction of integrated emergency-defenses system based on heuristic. In 2022 Int. Conf. on Electronics and Devices, Computational Science (ICEDCS).

Shi W., Deng S., Li S. (2024). An improved information entropy for the integrated emergency-defence system capability evaluation. International Journal of Automation and Control.

You G., Guo H., Dagestani A. A., et al. (2021). Evolutionary game analysis of three players on behavioural strategy of P2P lending participants: a sustainable operations perspective. Complexity,

You G., Guo H., Dagestani A. A., et al. (2021). Evaluating reputation of internet financial platform: an improved fuzzy evaluation approach. Discrete Dynamics in Nature and Society.