Hongbin Yan | Applied Soft Computing | Research Excellence Award

Posted on by Innovator Awards

Prof. Hongbin Yan | Applied Soft Computing | Research Excellence Award

School of Business, East China University of Science and Technology | China 

He is a senior scholar in management science and engineering with extensive experience in research, teaching, and academic leadership at a leading research university. His academic background spans management, knowledge science, and information systems, providing a strong interdisciplinary foundation for both theoretical and applied research. His work primarily focuses on uncertain decision analysis, evaluation methodologies, and the integration of qualitative and quantitative approaches in management research. A significant portion of his research addresses technological innovation, new product development, service management, and quality management under uncertain and dynamic environments. He has made notable contributions to kansei engineering, computing with words, and consumer-oriented evaluation models, particularly in the context of product design, customer satisfaction, and innovation decision support. His research emphasizes the use of consumer demand, online reviews, and design thinking to support technological recombination and innovation strategies. As a principal investigator on multiple competitive research projects supported by major national and regional funding agencies, he has advanced methodological frameworks that bridge theory and real-world managerial practice. In teaching, he actively contributes to undergraduate, graduate, doctoral, and professional education, with a strong emphasis on research methodology, information systems, and managerial decision making.

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Featured Publications

Hongbin Yan | Applied Soft Computing | Research Excellence Award

Posted on by Innovator Awards

Prof.  Hongbin Yan | Applied Soft Computing | Research Excellence Award

School of Business, East China University of Science and Technology | China 

Yan Hongbin is a professor of Management Science and Engineering at East China University of Science and Technology (ECUST), where he also serves as a PhD supervisor. He earned a PhD from the Japan Advanced Institute of Science and Technology, following earlier degrees in management from Dalian University of Technology. His teaching covers management information systems, information system analysis and design, IT service management (for MBA students), and research methodology for master and doctoral students. His research centers on decision analysis under uncertainty, new product development, service and quality management, technological innovation, and Kansei (emotion-based) engineering. Over his career, he has authored many peer-reviewed journal and conference papers in outlets such as Computers & Industrial Engineering, Omega, IISE Transactions and others; his work has attracted substantial scholarly attention. According to his public academic profile, his publications have been cited hundreds of times, and his citation count on one platform exceeds seven hundred. Overall, his scholarly output and impact place him among the active contributors in the fields of management science and decision support.

Profile: ORCID 

Featured  Publications 

Yan, H.-B., Qu, L., & Huynh, V.-N. (2025).
A probability based linguistic decision making approach to reliable Kano model for classifying quality attributes. Applied Soft Computing, 114381.

Chen, Z., Zhou, X., Zhang, Z., Yan, H., Niu, X., & Li, Y. (2025).
Using the decomposed theory of planned behavior and a structural equation model with partial least squares to investigate construction and demolition waste reduction behavior. Journal of Construction Engineering and Management, 15810.

Wang, W., Li, Y., Yan, H., Zhao, W., Zhao, Q., & Luo, K. (2025).
A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection. Expert Systems with Applications, 125570.