Dr. Shu Tang | Management Studies | Best Researcher Award

Dr. Shu Tang | Management Studies | Best Researcher Award

Dr. Shu Tang | PhD candidate | Pukyong National University | China

Academic Background

Shu Tang is currently pursuing a PhD in Management at the Graduate School of Management of Technology, Pukyong National University in the Republic of Korea. Prior to this, Shu Tang completed a Master of Laws in Economics at Jilin Normal University and a Bachelor of Economics in Finance at Liaoning Technical University. This strong academic foundation combines rigorous economic theory with practical management applications, preparing Shu Tang for advanced research and analytical problem-solving in the field of business and economics.

Research Focus

Shu Tang’s research primarily explores the intersection of economic development, industrial transformation, and talent cultivation. The work emphasizes strategies for upgrading traditional manufacturing industries through digital innovation and e-commerce, as well as predicting energy market trends using quantitative models. Shu Tang is particularly interested in applied research that integrates governmental, academic, and enterprise collaboration to foster local economic growth and workforce development.

Work Experience

Shu Tang has actively engaged in research projects focusing on regional economic development and talent training. This includes studies on the industrial transfer demonstration zones and strategies for upgrading traditional manufacturing industries. Shu Tang has also explored innovative approaches for e-commerce talent training and investigated contemporary family education practices, highlighting an interdisciplinary approach to social and economic challenges.

Key Contributions

Shu Tang has made significant contributions in both applied economics and social sciences. This includes developing models for predicting natural gas prices, analyzing regional industrial transformation strategies, and proposing practical pathways for cultivating talent in emerging sectors. These contributions bridge theoretical research and practical implementation, providing actionable insights for policy-makers, educational institutions, and local enterprises.

Awards & Recognition

Shu Tang has been recognized as an outstanding graduate of Jilin Normal University and has received multiple accolades for academic excellence, including a university-level scholarship and awards in provincial market research competitions. These honors reflect a consistent record of high achievement and dedication to advancing knowledge in economics and management.

Professional Roles & Memberships

Shu Tang actively participates in academic and research communities, collaborating with local governments, universities, and industry associations. Through these roles, Shu Tang contributes to applied research initiatives that promote regional development and educational innovation. Participation in research planning projects has fostered a strong network of professional relationships and strengthened expertise in policy-driven economic analysis.

Profile

ORCID

Featured Publications

Tang, S. (2025). An applied study on predicting natural gas prices using mixed models. Energies, 18, 5303.

Impact Statement / Vision

Shu Tang aims to advance research that supports sustainable economic development and talent cultivation in rapidly transforming industries. By integrating analytical models with practical policy insights, Shu Tang seeks to bridge the gap between academic research and real-world economic solutions, fostering innovation and growth in regional and industrial contexts.

Yugowati Praharsi | Business | Best Researcher Award

Dr. Yugowati Praharsi | Business | Best Researcher Award

Business Management Department, Shipbuilding Institute of Polytechnic Surabaya, Indonesia

Dr. Yugowati Praharsi, S.Si., M.Sc., Ph.D., is an accomplished Associate Professor and the Chief of the Maritime Logistics Laboratory in the Business Management Department at the Shipbuilding Institute of Polytechnic Surabaya (PPNS), Indonesia. With over a decade of academic and research experience, she is recognized for her expertise in supply chain management, port logistics, and sustainable industrial systems. Her dedication to advancing maritime logistics education and research has significantly influenced the development of circular strategies and AI-based systems in Indonesia’s shipbuilding and maritime sectors. 📚🚢

Publication Profile

Scopus

🎓 Education Background

Dr. Yugowati began her academic journey in Mathematics at Satya Wacana Christian University (1999–2003), followed by an M.Sc. in Electronic Engineering (2007–2009) and a Ph.D. in Industrial and System Engineering (2009–2013) from Chung Yuan Christian University, Taiwan. Her doctoral research focused on strategic management frameworks for manufacturers and retailers, laying a strong foundation for her future contributions in operations and supply chain management. 🧠📐

💼 Professional Experience

Currently serving as an Associate Professor, she also leads the Maritime Logistics Laboratory at PPNS. She teaches a diverse array of courses including Port Management, Supply Chain Management, Risk Management, and Business Statistics. Her administrative and academic leadership has helped shape curriculum innovation and industry collaborations, enhancing the practical skills of future maritime professionals. 📊👩‍🏫

🏆 Awards and Honors

Dr. Yugowati has received numerous accolades, including the Business Management Teaching Award (IEOM, 2021), Outstanding Faculty Advisor (IEOM, 2020), and multiple Best Paper Awards at prestigious conferences in Toronto and Czech Republic (IEOM, 2019). Her early recognition includes a Best Paper Award at the 2010 International Conference on Innovation and Management in Malaysia. These honors highlight her consistent academic excellence and impactful research. 🥇🎖️

🔬 Research Focus

Her research interests span maritime logistics, supply chain resilience, circular economy in traditional industries, lean six sigma implementation, and AI-based hazard monitoring systems for small fishermen. She has led numerous government-funded projects and actively contributes to national strategies for sustainable maritime development. 🚀📦🌊

✅ Conclusion

With a Scopus h-index of 6 and a growing portfolio of Q1 and Q3 publications, Dr. Yugowati Praharsi continues to be a pivotal figure in Indonesia’s maritime logistics landscape. Her work bridges theoretical innovation and real-world application, creating tangible benefits for both academia and industry. 🌍📘

📚 Top Publications with Notes

  1. Supply Chain Performance for a Traditional Shipbuilding Industry in Indonesia (2022)
    🔗 https://doi.org/10.1108/BIJ-05-2020-0232
    Journal: Benchmarking: An International Journal (Q1)
    Cited by: 7 articles (Scopus)
    📌 Focus: Evaluates supply chain performance in Indonesia’s traditional shipbuilding sector using benchmarking models.

  2. The application of Lean Six Sigma and Supply Chain Resilience in Maritime Industry during the era of COVID-19 (2021)
    🔗 https://doi.org/10.1108/IJLSS-12-2020-0212
    Journal: International Journal of Lean Six Sigma (Q1)
    Cited by: 10 articles (Scopus)
    📌 Focus: Examines lean six sigma methodologies to improve maritime supply chains amidst pandemic disruptions.

  3. Supply Chain Resilience Analysis using the Quality Function Deployment (QFD) Approach (2021)
    🔗 Not available online; journal homepage: Reliability: Theory and Applications (Q3)
    Cited by: 3 articles
    📌 Focus: Introduces a QFD framework to enhance resilience in freight forwarding operations.

  4. Modeling a Traditional Fishing Boat Building in East Java, Indonesia (2019)
    🔗 https://doi.org/10.1016/j.oceaneng.2019.106202
    Journal: Ocean Engineering (Q1)
    Cited by: 15 articles (Scopus)
    📌 Focus: Proposes simulation models for improving efficiency in boat-building processes.

  5. An Integrated Vendor-Buyer Replenishment Policy for Deteriorating Items in Fuzzy Environments (2019)
    🔗 https://doi.org/10.1080/03155986.2019.1624472
    Journal: Journal of INFOR (Q4)
    Cited by: 6 articles (Scopus)
    📌 Focus: Develops a fuzzy logic-based inventory model for joint vendor-buyer decisions.