管理科学与工程系学术论坛第九十五讲

主 题：Impact of supply base structural complexity on financial performance: Roles of visible and not-so-visible characteristics

主讲人: Guanyi Lu (Assistant Professor, Florida State University)

时 间：2019-06-14 10:00

地 点：明德商学楼1008室

语 言：中英文

讲座摘要：   

Supply chains have become increasingly complex in the last decade, which makes their structural characteristics important determinants of firm performance. Prior studies on supply chain structure have largely emphasized network-level attributes but ignored supply-base level characteristics. However, in many cases it is the 1st tier suppliers, not those “deep in the network,” that have most immediate influence on the buyer. In addition, some structural characteristics, such as direct links between the buyer's suppliers and its customers, are not-so-visible to the buyer, yet can impact its financial performance dramatically. The existing literature has overlooked these not-so-visible structural links. Using objective supply chain data collected from Mergent Online and Compustat, we map the supply base structure of 867 public firms. We construct three visible (horizontal, vertical and spatial) and two not-so-visible (eliminative and cooperative) structural complexity metrics, and examine their impacts on buyer firms' financial performance as measured by Return on Assets and Tobin's Q. Our empirical analysis shows that the five dimensions have differential effects: some have negligible impacts while others appear to strongly affect financial performance. Contrary to the common belief that complexity hurts performance, we find that an individual complexity dimension may have both positive and negative effects, and the overall effect may be non-linear.

主讲人简介：

Guanyi Lu is an Assistant Professor in the Department of Business Analytics, Information Systems & Supply Chain in the College of Business at Florida State University. Professor Lu’s research interests include supply chain structure and supply network, supply chain security and risk management, behavioral operations management, retail operations, and information and communication technology. His research has appeared in journals such as Journal of Operations Management, Production and Operations Management, Decision Sciences, Journal of Supply Chain Management, IEEE Transactions on Engineering Management among others. Prof. Lu is a member of the editorial board for Journal of Operations Management, Journal of Supply Chain Management and Journal of Marketing Channels. He recently received the 2018 Best Reviewer Award from the Decision Sciences Journal.