Prof Xiaofeng Li | Business Management | Best Researcher Award

Education

Xiaofeng Li holds a PhD in Business Management, which he earned in June 2005. His educational background laid the foundation for his focus on entrepreneurship and innovation. His academic career advanced further when he was appointed as a professor at Sichuan University in July 2011.

Work Experience

Xiaofeng’s career is highlighted by his roles in academia and consultancy. As a professor at Sichuan University, he has overseen 33 research projects and 17 consultancy or industry-related initiatives. In 2017, he was recognized as one of China’s “Ten Thousand Outstanding Innovation and Entrepreneurship Mentor Talents”. He has contributed to significant scientific progress in Sichuan Province, winning several prestigious awards.

Skills 

Xiaofeng Li possesses a rich skill set in entrepreneurial behavior analysis, project management, risk assessment, and neural network algorithm development. His expertise extends to building dynamic risk prevention mechanisms tailored to China’s entrepreneurial environment. He is also proficient in publishing research and securing citations, with over 290 citations for his work.

Awards & Honors

Throughout his career, Xiaofeng has received numerous accolades, including:

• Second prize in National Teaching Achievements
• Second prize in National Outstanding Achievements in Humanities
• Second prize in Scientific and Technological Progress in Sichuan Province
• Third prize in Philosophy and Social Sciences in Sichuan Province

 Membership 

Xiaofeng holds several leadership roles, including:

• Executive Director and Secretary General of Sichuan Industrial and Applied Mathematics Society
• Vice Chairman of Sichuan Innovation and Entrepreneurship Education Guidance Committee
• Member of the Expert Committee of Sichuan Technology, Economy, and Management Modernization Research Association

Teaching Experience

Xiaofeng is a passionate educator, contributing to the development of the entrepreneurship education system for college students. His work has been recognized by awards, and he has published books on topics such as entrepreneurial risks and student support systems. He regularly teaches and mentors students in the field of innovation management.

Research Focus

Xiaofeng’s research is centered on entrepreneurial behavior, project selection, and risk assessment. He has proposed a three-stage theory for project selection and developed a dynamic measurement model for entrepreneurial risks. His work has practical implications, particularly in the evaluation of risks in family farms and entrepreneurship education. His 65 published journal articles and various patents further underscore his contributions to the field.

Publications : 

• Chinese Family Farm Business Risk Assessment Using a Hierarchical Hesitant Fuzzy Linguistic Model
  🗓️ 2024
  📰 Mathematics
  📄 12(14), 2216
  🚜💼📊
• Risk analysis and selection decision model of family farm entrepreneurial projects
  🗓️ 2023
  📰 ACM International Conference Proceeding Series
  📄 pp. 756–760
  📉👩‍🌾🏢
• Establishment and Application of BP Neural Network Model for Quality Assessment of Innovation and Entrepreneurship Education in Colleges and Universities
  🗓️ 2023
  📰 2023 4th International Conference on Information Science and Education, ICISE-IE
  📄 pp. 258–263
  🧠🏫💡
• A Review of Model-Based Scenario Analysis of Poverty for Informing Sustainability
  🗓️ 2022
  📰 Environmental Science and Policy
  📄 137, pp. 336–348
  🌍💡📉
• The Establishment of CW-EME Model for Competency Evaluation of International Accounting Talent
  🗓️ 2022
  📰 Proceedings – 2022 3rd International Conference on Education, Knowledge and Information Management, ICEKIM
  📄 pp. 502–508
  🌐💼📊
• Establishment and Application of G1-CRITIC-MEEM Model for Evaluation of Utilization Efficiency of Power Grid Assets
  🗓️ 2022
  📰 Proceedings of SPIE – The International Society for Optical Engineering
  📄 12500, 1250035
  ⚡🔋📈
• The Construction of Global Competency Training Model and Evaluation Index System for College Students
  🗓️ 2022
  📰 Lecture Notes on Data Engineering and Communications Technologies
  📄 145, pp. 427–441
  🌍🎓📘
• Research on Risk Hierarchical Structure of High-Tech Startups Based on DEMATEL-ISM Model
  🗓️ 2022
  📰 Lecture Notes on Data Engineering and Communications Technologies
  📄 144, pp. 17–29
  🚀🖥️📊
• Establishment and Application of the CW-MEEM Model for Post-Evaluation of Power Grid Construction Projects
  🗓️ 2022
  📰 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE
  📄 pp. 1352–1357
  🔋🏗️📊
• Investment Capacity Prediction of Power Grid Enterprise Based on Self-organizing Data Mining Technology
  🗓️ 2021
  📰 ACM International Conference Proceeding Series
  📄 pp. 999–1004
  🏢⚡📊