Li Chen | Organizational Resilience | Innovative Research Award

Innovative Research Award

Li Chen
Universiti Sains Malaysia (USM), Malaysia

Li Chen
Affiliation Universiti Sains Malaysia (USM)
Country Malaysia
Documents 3
Subject Area Organizational Resilience
Event Business Global Awards
ORCID 0009-0001-9880-3084

Li Chen, affiliated with Universiti Sains Malaysia (USM), is a researcher and lecturer whose academic activities focus on supply chain management, logistics systems, risk management, and organizational resilience. Through scholarly publications, teaching contributions, textbook development, and applied research, Chen has established a multidisciplinary profile that bridges logistics operations with contemporary resilience-oriented management frameworks. Her research reflects growing attention to supply chain risk mitigation, blockchain-enabled governance, low-carbon behavior, and resource reconfiguration strategies in organizational contexts.[1][2]

Abstract

Li Chen’s scholarly profile in the areas of supply chain management, logistics systems, organizational resilience, and risk governance. Her work integrates operational logistics research with emerging themes such as blockchain-enabled supply chains, low-carbon behavior, and resilience-oriented organizational transformation. Through journal publications, conference participation, textbook contributions, and practical engagement in logistics education, Chen has contributed to advancing knowledge relevant to contemporary supply chain challenges and organizational adaptability.[2][3]

Keywords

Organizational Resilience; Supply Chain Risk Management; Logistics Management; Resource Reconfiguration; Blockchain Technology; Sustainable Supply Chains; Low-Carbon Behavior; Supply Chain Governance; Operations Management; Business Resilience.

Introduction

The growing complexity of global supply networks has elevated the importance of resilience, risk management, and adaptive organizational capabilities. Researchers in logistics and supply chain management increasingly focus on understanding how organizations can respond to disruptions while maintaining operational continuity. Within this context, Li Chen’s academic work explores the intersection of supply chain governance, technological innovation, and organizational resilience. Her studies contribute to discussions regarding risk mitigation mechanisms, logistics optimization, and sustainable operational practices.[2][4]

Research Profile

Li Chen serves as a lecturer and doctoral researcher at Universiti Sains Malaysia. Her academic background includes logistics management and supply chain studies, complemented by professional experience in logistics education and industry supervision. Her research trajectory has evolved from warehouse operations and logistics management toward broader investigations of supply chain resilience, sustainability, and strategic resource deployment. This progression reflects an interdisciplinary perspective that combines operational efficiency with long-term organizational adaptability.[1][3]

Research Contributions

  • Investigation of warehouse allocation strategies and material preparation efficiency in manufacturing environments.
  • Research on wireless PDA implementation for warehouse management and logistics digitization.
  • Development of logistics distribution path optimization approaches using support vector machine methodologies.

Collectively, these contributions demonstrate an integrated research agenda focused on improving organizational preparedness, supply chain visibility, and adaptive capabilities under uncertain operating conditions.[2][5]

Publications

  • Chen, L. (2020). Impact of warehouse component allocation on production material preparation in manufacturing enterprises.
  • Chen, L. (2019). Application of wireless PDA in warehouse management.
  • Chen, L. (2022). Logistics distribution path optimization using support vector machine algorithm under different constraints.
  • Wei, B., Shaharudin, M.S., Chen, L., & Gui, A. (2024). Mapping the Path to Low-Carbon Behavior: A Systematic Review of Trends, Gaps, and Future Directions.

Research Impact

Li Chen’s research lies in its practical orientation toward contemporary organizational challenges. Her studies support evidence-based approaches for managing supply chain disruptions, improving logistics performance, and strengthening resilience capabilities. The integration of digital technologies, sustainability considerations, and risk governance mechanisms reflects current priorities within operations and supply chain scholarship. Her educational contributions, including textbook development and student mentorship, further extend the impact of her work beyond academic publication outputs.[3][4]

Award Suitability

Li Chen’s profile aligns with the objectives of the Innovative Research Award through her interdisciplinary contributions to organizational resilience and supply chain management. Her publication portfolio demonstrates active engagement with emerging themes such as blockchain applications, resilience-building strategies, sustainability, and risk management. The combination of scholarly output, educational leadership, applied logistics expertise, and ongoing doctoral research illustrates a commitment to advancing both academic understanding and professional practice within the field.[2][5]

Conclusion

Li Chen represents an emerging scholar whose work contributes to understanding the dynamics of supply chain resilience and organizational adaptability. Through research addressing logistics optimization, technological innovation, sustainability, and risk governance, she has established a foundation for continued scholarly development. Her research trajectory supports ongoing discussions regarding resilient organizations and effective supply chain management in rapidly changing business environments.[4][5]

References

  1. ORCID. (n.d.). ORCID Record: Li Chen (0009-0001-9880-3084).
    https://orcid.org/0009-0001-9880-3084
  2. Chen, L., Shaharudin, M.S., & Liu, J. (2026). The Impact of Supply Chain Risk Management on Organizational Resilience: The Mediating Role of Resource Reconfiguration. Sustainability.
    https://doi.org/10.3390/su18083654
  3. Chen, L., Shaharudin, M.S., Wei, B., et al. (2025). Supply Chain Risk Management with Blockchain: A Literature Review and Future Research Directions.
    https://doi.org/10.6007/IJAREMS/v14-i3/26086
  4. Wei, B., Shaharudin, M.S., Chen, L., & Gui, A. (2024). Mapping the Path to Low-Carbon Behavior: A Systematic Review of Trends, Gaps, and Future Directions. Sustainability.
    https://www.mdpi.com/2071-1050/16/21/9343
  5. SciProfile author details: Li Chen, emerging researcher profile in Supply Chain Management and Organizational Resilience.
    https://sciprofiles.com/profile/3964220

Zhihua Zhao | Crisis Management | Excellence in Research Award

Mr. Zhihua Zhao | Crisis Management | Excellence in Research Award

Lecturer | Heilongjiang University of Science and Technology | China

Mr. Zhihua Zhao is a dedicated researcher and academic professional recognized for his contributions to strategic management and business strategy, with a strong focus on advancing evidence-based decision-making and innovation-oriented organizational practices. His education has provided him with a solid academic foundation in management research, analytical thinking, and interdisciplinary inquiry, enabling him to engage with complex business and policy challenges at both national and international levels.

Citation Metrics (Scopus)

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Featured Publications

Proximity in Consumer Network and Company New Products Decisions – Finance Research Letters

Strategic Interaction Effects in Consumer Network Structures – Scopus-Indexed Journal

Network Proximity and Firm-Level Innovation Decisions – International Business & Strategy Journal

Digital Strategy and Market Competition under Network Effects – Scopus-Indexed Journal

Strategic Decision-Making in Consumer-Oriented Network Markets – Business Strategy & Analytics

Zhiying Wang | emergency decision-making | Best Researcher Award

Prof. Dr. Zhiying Wang  –  emergency decision-making  –  Best Researcher Award

Anhui University of Technology | China

      Profil

Scopus

ORCID

📍Current Position

Zhiying Wang, Ph.D. is a Professor and Ph.D. Supervisor at the School of Management Science & Engineering, Anhui University of Technology in Ma’anshan, Anhui, China. Since December 2022, Dr. Wang has led the Center for Crisis Management and Decision Science. In addition to this role, Dr. Wang actively oversees research projects and academic programs in management and emergency decision-making.

 

📝Publication Achievements

Dr. Wang has made significant contributions to academic literature, focusing on decision-making, emergency response, and public opinion crisis management. Recent publications include: Applied Soft Computing – Emotion updating in multi-stage emergency decision-making. Nonlinear Dynamics – Interaction between rumors and behaviors using the SEIR-UD model. Granular Computing – Probabilistic linguistic term sets in decision-making. Each article reflects a rigorous approach to critical real-world issues, furthering the academic understanding of crisis management.

 

🔍Ongoing Research

Dr. Wang’s ongoing research projects delve into multi-stage intervention decisions, emergency management, and public opinion dynamics. Funded by the National Natural Science Foundation of China, these projects explore topics such as: Public Opinion Crisis Intervention – Studying asynchronous evolution and effective multi-stage interventions. Emergency Decision-Making Methods – Incorporating public opinion into decisions for handling major emergencies.

 

🔬 Research Interests

Dr. Wang’s research interests lie at the intersection of Public Opinion Crisis Management, System Optimization, and Decision Support Systems. These fields integrate behavioral science and systems engineering, contributing to effective and informed decision-making practices in emergencies.

 

🎓Academic Background

Dr. Wang holds an impressive academic record: Ph.D. in Management Science and Engineering (Nankai University, 2016) Master’s in Management Science and Engineering (Tianjin University of Technology, 2013) Bachelor’s in Information Management and Information Systems (Ludong University, 2010) These qualifications form a robust foundation in management science, allowing Dr. Wang to merge theory and practical application.

 

🏆Scholarships and Awards 

Dr. Wang has received numerous awards, including the Anhui Province Leading Talents Program for Higher Education: Wanjiang Scholar and the Foundation for Distinguished Young Scholars of Anhui Provincial Department of Education. These awards underscore the impact of Dr. Wang’s research and highlight his contributions to advancing crisis management science.

 

🧬Bioinformatics 

While not traditionally aligned with bioinformatics, Dr. Wang’s work with big data and predictive modeling in crisis scenarios has intersected with bioinformatics principles, especially during epidemiological crises.

 

🌐Professional Associations 

Dr. Wang is a member of several prestigious academic organizations, contributing actively to Management Science, Systems Engineering, and Decision Science forums.

 

 📚Training & Workshops 

Dr. Wang frequently participates in international conferences and workshops. During a Visiting Scholar Program at the University of Windsor, Dr. Wang engaged with leaders in decision science and management, exchanging insights on global crisis management trends and methods.

 

🎤Oral Presentations and🗣️Thought Leadership 

In conferences and seminars, Dr. Wang has presented on topics like public opinion crisis evolution and multi-stage decision-making under uncertainty. These presentations facilitate knowledge sharing and highlight Dr. Wang’s leading role in innovative management science research.

 

🧑‍🔬Tasks Completed as a Researcher 

Key tasks include: Leading Crisis Management Research Center – Dr. Wang has pioneered crisis management methodologies and trained a new generation of researchers. Developing Decision Support Models – Creating models that incorporate public opinion data, environmental factors, and crisis dynamics to support informed decision-making.

 

🚀Success Factors 

Dr. Wang’s success stems from an interdisciplinary approach combining systems theory, decision-making psychology, and practical applications. His commitment to addressing real-world crises positions him as a thought leader in emergency management.

 

🧪Publications & Laboratory Experience

Dr. Wang’s extensive publication record and laboratory experience underscore his proficiency in data-driven modeling and crisis simulation. His work in crisis prediction and public sentiment analysis has significantly advanced methodologies in the field.

 

🔍 Conclusion

Zhiying Wang, Ph.D., is a recognized expert in crisis management and emergency decision-making. As a professor, researcher, and mentor, Dr. Wang’s contributions continue to influence both academia and public policy. His efforts in developing innovative decision-support models have set new standards for managing public opinion crises.

📚Publications

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

    Authors: Liu, H., Wang, Z., Jia, H.

    Journal: Granular Computing

A SEIR-UD model with reinforcement effect for the interaction between rumors and rumor-induced behaviors

    Authors: Zhao, H., Wang, Z., Zhao, H., Nie, H.

    Journal: Nonlinear Dynamics

An intuitionistic fuzzy grey-Markov method with application to demand forecasting for emergency supplies during major epidemics

    Authors: Wang, Z., Jia, H.

    Journal: Grey Systems

Emergency material distribution and transportation optimization model considering altruistic behavior of disaster victims | 考虑灾民利他行为的应急物资分配与运输优化模型

    Authors: Wang, Z., Fu, H., Nie, H., Chang, Z.

   Journal: China Safety Science Journal

Impact and trade off analysis of land use change on spatial pattern of ecosystem services in Chishui River Basin

   Authors: Luo, R., Yang, S., Wang, Z., Zhang, T., Gao, P.

    Journal: Environmental Science and Pollution Research