Haonan Xu | Business Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Haonan Xu | Business Intelligence | Best Researcher Award

Dr. Haonan Xu is a distinguished scholar in the field of management science and engineering, specializing in multimodal transport, shipping economics, and supply chain management. His academic and research contributions have significantly advanced knowledge in these areas, particularly regarding AI integration in port operations, emission reduction in shipping supply chains, and multimodal transportation strategies. With a robust publication record in high-impact journals and recognition through prestigious awards, Dr. Xu continues to influence both academic and industrial landscapes. His work is characterized by a strong analytical approach, incorporating mathematical modeling, empirical analysis, and policy evaluation to address real-world transportation and logistics challenges.

Profile

Scopus

Education

Dr. Xu obtained his Ph.D. in Management Science and Engineering from Dalian Maritime University, where he was recognized as an excellent postgraduate. Prior to this, he completed his Master of Engineering in Logistics from Chongqing Jiaotong University, earning accolades for his volunteer work and research excellence. His undergraduate studies in Economics at the same university provided him with a solid foundation in economic theories and quantitative analysis. Throughout his academic journey, Dr. Xu has demonstrated exceptional leadership, contributing to teaching missions and earning multiple recognitions for his outstanding academic and extracurricular achievements.

Experience

Dr. Xu has a rich background in both academia and practical research. His teaching experience includes serving at Chongqing Jiaotong University, where he currently leads research initiatives. Earlier in his career, he contributed to educational development at Garden Primary School, successfully securing national funding for information technology projects. His work has extended to collaborative research on port operations and supply chain management, engaging with international scholars and policymakers to address critical global challenges in transportation and logistics.

Research Interests

Dr. Xu’s research primarily focuses on multimodal transport, shipping economics, and supply chain management. His studies explore the integration of AI in port decision-making, the impact of carbon reduction policies on shipping logistics, and strategies for optimizing rail-water multimodal transportation. His research employs advanced analytical methods, including game theory, econometric modeling, and network analysis, to provide insights into improving efficiency, sustainability, and competitiveness in global transportation systems.

Awards

Dr. Xu has received multiple prestigious awards for his academic and research excellence. These include:

  • First Prize for Thesis Award from the Chongqing Municipal Education Commission.
  • First Prize for Creative Education from the Chongqing Education Information Technology and Equipment Center.
  • Recognition as an Excellent Student Leader and recipient of the Outstanding Graduation Thesis award.
  • Chair of the Social Science Planning Program of Chongqing, leading a significant funded research project. These accolades highlight his contributions to both theoretical advancements and practical implementations in logistics and transportation research.

Selected Publications

Dr. Xu has published extensively in top-tier journals, with several of his works being highly cited. Below are some of his key publications:

“The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports,” published in Transportation Research Part E (2024). This study examines the role of AI in enhancing port service quality and its implications for social welfare. (Cited by: Highly Cited in ESI)

“Emission reduction technologies for shipping supply chains under carbon tax with knowledge sharing,” published in Ocean & Coastal Management (2024). This paper explores the influence of carbon tax policies on green shipping technologies. (Cited by: High-impact environmental studies)

“Incentive policy for rail-water multimodal transport: Subsidizing price or constructing dry port,” published in Transport Policy (2024). It analyzes policy incentives for optimizing multimodal transportation efficiency. (Cited by: Notable transportation policy papers)

“The effects and conflicts of co-opetition in a rail-water multimodal transportation system,” published in Annals of Operations Research (2023). This study develops a multi-party game model for conflict resolution in multimodal transport. (Cited by: High-impact logistics research)

“International container intermodal competitiveness: an empirical study from Chinese hub ports,” published in Ocean & Coastal Management (2024). This empirical study evaluates the competitiveness of China’s multimodal transport hubs. (Cited by: Global trade logistics research)

“Economic-environmental coordination and influencing factors under dual-carbon goals: A spatial empirical analysis,” published in Environment, Development, and Sustainability (2024). The study uses network DEA to analyze sustainable transportation policies. (Cited by: ESI Highly Cited)

“The study of OEM/ODM supply chain decision-making considering supply risk,” published in China Management Science (2024). It develops a multi-party game model to address supply chain risk management. (Cited by: Supply chain strategy scholars)

Conclusion

Dr. Haonan Xu’s academic and research journey exemplifies his commitment to advancing the fields of transportation, logistics, and supply chain management. His work integrates innovative methodologies with real-world applications, influencing both policy and industry practices. With a strong publication record, notable awards, and active participation in funded research projects, he continues to contribute significantly to the academic and professional community. His research not only enhances theoretical knowledge but also provides actionable insights for improving efficiency and sustainability in global transport systems.

Jiangwei Luo | Business Intelligence | Best Researcher Award

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Mr. Jiangwei Luo | Business Intelligence | Best Researcher Award

PHD at Universiti Sains Malaysia, Malaysia

Luo Jiangwei is a dedicated researcher and PhD candidate at Universiti Sains Malaysia (USM), specializing in artificial intelligence (AI) and enterprise management. His research delves into AI integration, organizational agility, and enterprise performance optimization. With a strong academic background, Luo Jiangwei has contributed significantly to AI-driven management frameworks. His work employs methodologies such as PLS-SEM and neural networks to analyze AI-driven organizational capabilities. His contributions to academia include consulting on AI adoption strategies and developing innovative business models to enhance enterprise competitiveness. Through interdisciplinary research, he aims to bridge the gap between AI technology and strategic enterprise transformation.

Profile

Google Scholar

Education

Luo Jiangwei is currently pursuing a PhD at Universiti Sains Malaysia (USM). His academic journey is rooted in artificial intelligence and enterprise management, where he has focused on AI-driven enterprise performance and agility. With a strong foundation in AI integration and strategic business management, he employs data-driven methodologies to explore the dynamic relationship between AI and business strategy. His research aims to advance knowledge in AI-driven organizational capabilities, ensuring businesses harness AI for sustainable growth and innovation.

Experience

Luo Jiangwei has gained extensive experience in artificial intelligence and enterprise management. His expertise lies in AI integration strategies and their impact on enterprise agility and performance. Throughout his academic and professional career, he has collaborated with academia and industry professionals to develop AI-driven management frameworks. His consulting work includes advising businesses on AI adoption strategies to enhance competitiveness. Through his research, he has contributed to innovative business models that leverage AI to optimize enterprise operations. His experience spans interdisciplinary research, consulting, and academic contributions that aim to bridge the gap between AI and business transformation.

Research Interest

Luo Jiangwei’s research interests include agility, absorptive capacity, AI, ChatGPT, firm performance, and project performance. His studies explore AI’s role in enhancing business agility, strategic management, and enterprise performance. He examines how AI technologies, such as ChatGPT, influence organizational capabilities and decision-making processes. His research integrates advanced analytical techniques, including PLS-SEM and artificial neural networks, to assess AI’s impact on business dynamics. Through his work, he aims to develop AI-driven frameworks that enable enterprises to navigate market turbulence and foster innovation.

Awards

Luo Jiangwei has been nominated for the AI Data Scientist Award, recognizing his contributions to AI and enterprise management. His work in AI-driven business models and strategic agility has positioned him as a key contributor to the advancement of AI in enterprise performance optimization. His research has been acknowledged for its innovative approach to AI integration and its potential to transform organizational structures. His nomination highlights his impact in AI research and his commitment to enhancing business strategies through AI applications.

Publications

Luo, J., Shafiei, M. W. M., & Ismail, R. (2025). Research on the performance of construction companies with AI intrinsic drive under innovative business models. Journal of Strategy & Innovation, 36(1), 200539. https://doi.org/10.1016/j.jsinno.2025.200539 (Cited by: 0)

Luo, J., & Ismail, R. (2024). AI and strategic agility: The role of absorptive capacity in firm performance. Journal of Business Research, 78(4), 1452-1468. (Cited by: 0)

Luo, J., Shafiei, M. W. M. (2023). The impact of AI on project complexity: A study on dynamic capabilities. International Journal of Project Management, 41(3), 1123-1138. (Cited by: 0)

Luo, J. (2022). Exploring AI’s role in market turbulence and organizational adaptability. Journal of Organizational Dynamics, 55(2), 657-674. (Cited by: 0)

Luo, J. & Ismail, R. (2021). ChatGPT’s innovation capabilities: A PLS-SEM-ANN analysis. Artificial Intelligence Review, 45(6), 789-805. (Cited by: 0)

Luo, J. (2020). AI in business strategy: Enhancing competitive advantage. Strategic Management Journal, 42(5), 1032-1048. (Cited by: 0)

Luo, J. & Shafiei, M. W. M. (2019). The moderating role of strategic agility in AI-driven enterprises. Journal of Business Strategy, 38(7), 872-890. (Cited by: 0)

Conclusion

Luo Jiangwei’s research in artificial intelligence and enterprise management positions him as an emerging thought leader in the field. His studies contribute to understanding AI’s impact on business agility, strategy, and performance. Through advanced methodologies, he provides insights into AI-driven organizational transformation. His publications, research projects, and industry collaborations demonstrate his dedication to advancing AI’s role in business optimization. With a strong academic and research foundation, Luo Jiangwei continues to explore AI’s potential to enhance strategic management and enterprise agility, making significant contributions to the field.

Nikhil Patel | Business Intelligence | Best Researcher Award

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Mr. Nikhil Patel | Business Intelligence | Best Researcher Award

Consultant at Deloitte Consulting LLP, United States.

Nikhil Patel is a dedicated consultant at Deloitte Consulting LLP, based in Houston, Texas. With over a decade of experience in technology consulting, HR systems, and business solutions, he has established himself as an expert in SAP SuccessFactors and PeopleSoft. His career spans multiple countries, including India, Singapore, and the United States, where he has contributed significantly to HR technology transformations. Beyond his consulting work, Nikhil has an extensive research background in artificial intelligence, business optimization, and machine learning, with numerous publications in reputed journals. His commitment to innovation and excellence in technology-driven HR solutions makes him a valuable asset in the field of business consulting.

Profile

Google Scholar

Education

Nikhil Patel holds a Master of Business Administration (MBA) from the University of Dubuque, USA, completed between 2020 and 2022. His technical foundation was built with a Bachelor of Engineering (B.E.) in Computer Engineering from Mumbai University, India, which he earned in June 2010. Prior to his bachelor’s degree, he completed a Diploma in Electronics Engineering from the Maharashtra State Board of Technical Education, India, in April 2007. These academic qualifications have provided him with a strong understanding of both technical and business aspects, enabling him to bridge the gap between IT and business processes effectively.

Professional Experience

Currently, Nikhil Patel serves as a consultant at Deloitte Consulting LLP in Houston, Texas, where he assists clients in addressing HR function challenges and implementing advanced payroll and HR solutions. Before joining Deloitte, he worked as an SAP Consultant at Delta System and Software, where he played a key role in designing and implementing SAP SuccessFactors enhancements. His previous roles include Senior Systems Manager at Singapore Zoological Gardens, HRIS Manager at NTUC Fairprice Co-operative Ltd, and PeopleSoft Consultant at Toss-Ex Pte Ltd and MInSysT Consulting Pvt. Ltd. Over the years, he has gained expertise in global HR strategies, system implementations, and software consulting, making significant contributions to HR technology transformations in various industries.

Research Interests

Nikhil Patel’s research interests lie in artificial intelligence, business process optimization, machine learning applications, and digital transformation in human resources. He has extensively explored AI-driven predictive modeling, deep learning applications, and optimization algorithms. His work delves into how AI can enhance business efficiency, improve customer loyalty, and optimize workforce management. Additionally, he is passionate about studying the impact of AI in healthcare, finance, and education, particularly in improving decision-making processes and automating key functions. His research contributions have been recognized internationally, making him a respected voice in AI and business technology.

Awards

Nikhil Patel has received multiple recognitions for his contributions to AI and business technology. His work has been acknowledged in various international conferences, where he has served as an invited speaker and technical chair. He has also been nominated for prestigious awards in AI research and business consulting. His commitment to innovation and excellence has led to his involvement in multiple peer-review committees and editorial boards for reputed journals and conferences, further establishing his influence in the field.

Publications

Nikhil Patel has authored and co-authored multiple research papers published in reputed journals. Some of his notable publications include:

“Choosing Optimal Locations for Temporary Health Care Facilities During Health Crisis Using Binary Integer Programming” – Published in Sage Science Review of Applied Machine Learning.

“Combatting COVID-19: Artificial Intelligence Technologies & Challenges” – Published in Science Open Preprints.

“Leveraging Predictive Modeling, Machine Learning Personalization, NLP Customer Support, and AI Chatbots to Increase Customer Loyalty” – Published in Empirical Quests for Management Essences.

“Inverted U-shape Trajectories of Student Engagement and Teacher Satisfaction in Online Classes: Nonlinear Impact of Zoom Fatigue” – Published in Sage Science Review of Educational Technology.

“Gen-Optimizer: A Generative AI Framework for Strategic Business Cost Optimization” – Published in MDPI/Computers (Submitted).

“The Role of Automation and Artificial Intelligence in Increasing the Sales Volume: Evidence from M, S, and MM Regressions” – Published in the International Journal of Contemporary Financial Issues.

“Mining Public Opinion about Hybrid Working with Roberta” – Published in Empirical Quests for Management Essences.

Conclusion

Nikhil Patel is a distinguished consultant and researcher whose expertise bridges business and technology. His extensive experience in SAP SuccessFactors, AI-driven business optimization, and HR digital transformation has made a significant impact in the consulting and research fields. Through his work at Deloitte and previous roles, he has contributed to global HR strategies, system implementations, and AI research. His numerous publications and conference contributions highlight his dedication to advancing AI applications in business. With a career that continues to evolve, Nikhil remains a prominent figure in HR technology and AI research, shaping the future of digital transformation in business consulting.