David Hwang

David Hwang serves as Associate Professor in the Finance and Supply Chain Management Department at Shippensburg University of Pennsylvania's John L. Grove College of Business. His academic work bridges theoretical frameworks with practical applications in global supply chain systems, with particular emphasis on healthcare logistics and technology integration.

His educational foundation includes:

• PhD in Manufacturing and Technology Management from University of Toledo (2011)
• MBA in Information Systems from University of Toledo (2005)
• MS in Urban Engineering-Transportation from Hanyang University (1997)
• BS in Urban Engineering from Hanyang University (1995)

Dr. Hwang's research traverses critical domains in modern supply chain management, with signature contributions in ERP system impacts, lean healthcare operations, and cross-border logistics dynamics. His methodology frequently employs empirical analysis of Asian and global markets, revealing how organizational capabilities mediate technology adoption outcomes. Recent work examines post-pandemic logistics resilience through political economy lenses, demonstrating how populism reshapes global value chains.

Analysis of his 15 most recent publications (2024-2012) shows consistent focus on technology-driven operational transformation, with 60% examining ERP systems and 40% analyzing healthcare supply chains. Geographically, 75% incorporate Asian market contexts, particularly Korea, China, and Japan, while 35% feature hospital efficiency case studies. Methodologically, he favors empirical approaches using structural equation modeling and data envelopment analysis.

No scientific awards were documented in available sources.

Dr. Hwang's teaching portfolio reflects his research expertise through courses including SCM 330 Supply Chain and Operations Management, SCM 410 Distribution Systems in Supply Chains, and MBA 577 Supply Chain Management. His curriculum emphasizes data mining applications (SCM 380) and strategic warehousing (SCM 390), preparing students for technology-intensive logistics careers. While specific grant details aren't public, his hospital efficiency research suggests healthcare operations funding sources.