Yang Lei

Dr. Yang Lei serves as Assistant Professor in the Department of Information Systems and Management Engineering at Southern University of Science and Technology's School of Business, where he has been faculty since 2019 (initially as Visiting Assistant Professor). His research bridges information technology with business applications, focusing on digital transformation in supply chains, organizational behavior, and social media ecosystems.

Education:

• Ph.D. in Decision Science & Managerial Economics, The Chinese University of Hong Kong (2013-2019)
• B.BA. in Information Management & Information Systems, University of Science & Technology Beijing (2008-2012)

Research Focus: Dr. Lei investigates Big Data applications in social media and supply chain contexts, IT-enabled organizational behavior, business value of IT, and microtask crowdsourcing. His methodology combines empirical approaches (surveys, interviews, secondary data analysis) with experimental techniques to examine how digital technologies reshape business processes and human behavior in Chinese manufacturing and service sectors.

Publication Trends: His 9 recent publications (2019-2025) reveal evolving research trajectories from foundational IT-business value studies toward contemporary explorations of social media's psychological impacts and e-commerce-driven innovation. Key outlets include Information & Management (ABS 3), IEEE Transactions on Engineering Management, and Decision Support Systems, demonstrating interdisciplinary rigor across information systems and operations management.

Awards:

• Full Scholarship of the Doctoral Institute of The Chinese University of Hong Kong

Grants & Industry Engagement: Currently principal investigator for a National Natural Science Foundation Youth Project (72402088, 2025-2027) and holder of SUSTech start-up funding (1M RMB), he actively partners with local firms for knowledge transfer. His teaching portfolio includes undergraduate courses in Management Information Systems and graduate-level Business Data-Analytics, complemented by journal refereeing for Information & Management and Electronic Commerce Research.