Xuewu Lai | Management | Best Researcher Award

Mr. Xuewu Lai | Management | Best Researcher Award 

Dr. Lai Xuewu is an Assistant Professor at Xi’an International University with a Ph.D. in Business Administration. He has extensive experience in enterprise management and human resource optimization, having held leadership roles in major Chinese companies. He has published 18 academic papers, including SCI and EI-indexed articles, and led multiple national and provincial research projects. His work focuses on the integration of artificial intelligence with business operations, HR systems, and decision-making frameworks. Dr. Lai is also a certified senior HR specialist and the holder of national patents and software copyrights.

Mr. Xuewu Lai | Xi’an International University | China

Profile

🎓Education

  • Lai Xuewu holds a Doctor of Management degree in Business Administration from La Union Science and Technology University in the Philippines. He has a comprehensive educational background that supports his expertise in business management and human resource practices.

👨‍🏫 Experience

  • Lai Xuewu is currently serving as an Assistant Professor at Xi’an International University. Prior to his academic career, he held leadership roles in several large corporate groups in China, including positions such as Deputy General Manager and Director. His consultancy experience spans over ten enterprises, where he led strategic initiatives that enhanced efficiency, reduced costs, and improved staff performance. His industry engagements include HR optimization, ERP system implementation, compensation system design, and enterprise-university collaborations.

🤝 Awards

  • Lai Xuewu has received numerous honors, including the titles of Outstanding Executive of the Year, Most Promising Award, Outstanding Professional Manager, and Second Prize in the Xi’an Rural Revitalization Entrepreneurship Competition. He is also a certified National Senior (Level 1) Human Resource Management Specialist and an Internationally Registered Senior Human Resource Management Specialist. In innovation and technology, he has obtained national invention patents and holds software copyrights in HR cost control and performance management systems.

💡Skills and Certifications

  • Lai Xuewu is skilled in enterprise management, operations strategy, and human resource optimization. He is adept in using artificial intelligence, neural networks, and decision-making frameworks such as CRITIC, CIMAS, and WASPAS to solve complex organizational challenges. His certifications and achievements demonstrate his capacity in leadership, data analysis, and digital transformation.

🔬 Research Focus

  • Lai Xuewu’s research focuses on business innovation, human resource management, and the application of artificial intelligence in enterprise operations. He has published 18 academic papers, including SCI- and EI-indexed core articles, and has led projects funded by national and provincial social science foundations. His recent studies include financial fraud detection using machine learning models, HRM education data analysis using web services, and integrated decision-making tools for operational efficiency. His ongoing projects explore AI’s impact on energy efficiency, compensation management, investment risk assessment, and organizational culture transformation.

🌎Conclusion

  • Considering his research output, interdisciplinary scope, innovation capacity, and measurable impact, Dr. Lai Xuewu is exceptionally well-qualified for the Research for Best Researcher Award. His work not only advances academic theory but also delivers applied solutions to real-world challenges, making him a compelling nominee who embodies the future of impactful, responsible, and high-performing research.

📖Publications

  • Integrating Decision Tools for Efficient Operations Management Through Innovative Approaches
    Authors: Weidong Liu, Xuewu Lai
    Journal: Scientific Reports

  • Sustainable Development Practices of Social Enterprises in Guangdong Hong Kong Macao Greater Bay Area: Basis for Strategic Plan
    Author: Lai Xuewu
    Journal: The QUEST: Journal of Multidisciplinary Research and Development

  • Web Services-Based Analysis of Human Resource Management Education Data for Infrastructure Development
    Authors: Guo Yuee, Lai Xuewu, Sun Qiheng, Cao Jinying
    Journal: Computer-Aided Design and Applications

Xiaobin Feng | Innovation Management | Best Researcher Award

Mr .Xiaobin Feng | Innovation Management | Best Researcher Award

Invited Talks and Conferences:
  •  His participation in prominent academic conferences as a speaker indicates his active engagement with the scholarly community and his contribution to knowledge dissemination in enterprise management and innovation strategies.
Mr . Xiaobin Feng, Zhejiang Sci-Tech University, China

Profile

Scopus

🏛️Early Academic Pursuits

  • Dr. Feng Xiaobin’s academic journey began with a Bachelor’s degree in Electronic Commerce from Xiangtan University in 2006, followed by a Master’s degree in Enterprises Management from the same institution in 2008. He later pursued a PhD in Enterprises Management at Zhejiang University’s School of Management, where he honed his expertise between 2008 and 2012. These formative years laid the groundwork for his future academic and research pursuits, particularly in quality management and innovation strategies.

👨‍🔬 PROFESSIONAL ENDEAVORS

  • Since earning his PhD, Dr. Feng Xiaobin has become a Professor of Enterprise Management at Zhejiang Sci-Tech University, located in Hangzhou, Zhejiang Province, China. Over the years, Dr. Feng has been actively involved in numerous national and provincial research projects, showcasing his strong leadership and scholarly acumen. Notably, he has served as the Principal Investigator for three major projects sponsored by the National Natural Science Foundation of China (NSFC), solidifying his role as a key researcher in his field.

🏆 CONTRIBUTIONS AND RESEARCH FOCUS

  • Dr. Feng’s research focuses on quality management practices, innovation strategy, and ambidextrous competence, with a particular emphasis on the Chinese manufacturing sector. His work delves into the relationship between quality management and innovation performance, constructing models that explore how boundary-spanning behavior by quality teams affects organizational performance. Dr. Feng’s exploration into reverse internationalization and its role in enhancing ambidextrous competence has been groundbreaking, offering new insights into corporate strategy in a globalized world.

📊 IMPACT AND INFLUENCE

  • Dr. Feng’s research has had a significant impact on both academia and industry. His studies in quality management and innovation strategy are not only theoretical but also practical, influencing the way Chinese enterprises approach quality control and innovation. Dr. Feng has hosted more than 10 research projects and has been awarded prestigious recognitions, such as the First Prize of Textile Education and Teaching Achievement Award of China Textile Industry Federation (2021) and the Second Prize for Outstanding Achievements in Philosophy and Social Sciences of Zhejiang Province (2019). These accolades speak to the relevance and influence of his research.

🏅ACADEMIC CITES

  • Dr. Feng has published extensively and his work is frequently cited in academic circles. His theoretical contributions, particularly in the areas of boundary-spanning behavior and the performance of innovation teams, are widely recognized. His papers on quality management and digital transformation strategies continue to be referenced by researchers and practitioners interested in understanding the dynamic interplay between quality practices and innovation outcomes.

🎤INVITED TALKS AND CONFERENCES

  • A respected speaker, Dr. Feng has delivered keynote addresses at several prestigious academic gatherings. He presented at the First Academic Conference on Enterprise Innovation and Platform Governance in China (2023), discussing digital strategy selection, and the Annual Meeting of the Management Philosophy Professional Committee (2022), where he shared insights on digital transformation and catch-up strategies for latecomer enterprises.

💼RESEARCH GRANTS

  • Dr. Feng has successfully obtained major research funding, most notably from the National Natural Science Foundation of China (NSFC). His key projects include research on boundary-spanning search and reverse internationalization, with funding totaling over ¥1.2 million. These grants underscore the importance of his research in advancing enterprise innovation and performance management.

🚀LEGACY AND FUTURE CONTRIBUTIONS

  • As a leader in enterprise management research, Dr. Feng’s legacy is already being established through his robust research output and the mentoring of young scholars. His ongoing projects, particularly his investigation into cross-border innovation in digital enterprises, promise to contribute further to the understanding of how companies adapt and evolve in digital contexts. Dr. Feng’s work continues to shape the discourse on corporate strategy and management practices, ensuring that his influence will persist in the years to come.

📄Publications

  • The impact of dual alliance on firm green innovation: a moderated mediation effect model
    Authors: Feng, X., Zhu, Y., Yang, J.
    Journal: VINE Journal of Information and Knowledge Management Systems, 2024
  • The nonlinear effect of effectuation and causation on new venture performance: The moderating effect of environmental uncertainty
    Authors: Peng, X.B., Liu, Y.L., Jiao, Q.Q., Feng, X.B., Zheng, B.
    Journal: Journal of Business Research, 2020, 117, pp. 112–123
  • How knowledge search affects the performance of reverse internationalization enterprises: the co-moderating role of causation and effectuation
    Authors: Feng, X., Ma, X., Shi, Z., Peng, X.
    Journal: Journal of Knowledge Management, 2020, 25(5), pp. 1105–1127
  • Exploring the mechanism of how quality management practices impact on firm performance: A theoretical framework
    Authors: Zhang, Q., Xiong, W., Feng, X.
    Journal: 2010 2nd International Conference on E-Business and Information System Security, EBISS2010, pp. 344–348, 5473605
  • Notice of Retraction: Quantitative analysis of inter-organizational tacit knowledge transfer process
    Authors: Feng, X., Xiong, W., Zhang, Q.
    Journal: 2010 2nd International Conference on E-Business and Information System Security, EBISS2010, pp. 281–284, 5473633