معرفی
Linguo Gong serves as an Associate Professor in the Department of Information Systems, Analytics and Supply Chain Management at Rider University, specializing in Management Sciences and Supply Chain Management with significant contributions to international business research.
His educational credentials include:
- Doctor of Philosophy (Ph.D.) from the University of Texas at Austin (1991)
- Master of Science (M.S.) from Tsinghua University, Beijing, China (1984)
- Bachelor of Science (B.S.) from Tsinghua University, Beijing, China (1982)
Dr. Gong's research integrates quantitative financial analysis with supply chain operations, focusing on cross-national comparisons of manufacturing firms. His work examines financial characteristics across Japanese, Australian, and U.S. electronics manufacturers while investigating distribution system coordination mechanisms. This interdisciplinary approach bridges finance, operations management, and international business through empirical analysis of real-world corporate data.
His publication record from 2012-2014 reveals consistent thematic focus on international comparative finance within manufacturing sectors and supply chain coordination dynamics. These works demonstrate methodological rigor in cross-country financial analysis while addressing practical supply chain challenges in global electronics manufacturing. The research spans finance, operations research, and international business disciplines with direct applications to multinational corporate strategy.
Professional recognition includes:
- Research Fellow at Rutgers University's Center for Supply Chain Management (2003-2014)
Dr. Gong maintains active scholarly engagement through presentations at premier international conferences including INFORMS and the International Academy of Business and Economics, though specific doctoral students or research grants aren't documented in available materials. His office is located in Sweigart Hall at Rider University where he contributes to academic programs in information systems and supply chain analytics.
