From mass to motion: Conceptualizing and measuring the dynamics of industry clusters
成果类型:
Article
署名作者:
Kim, Min Jung; Shaver, J. Myles; Funk, Russell J.
署名单位:
University of Illinois System; University of Illinois Urbana-Champaign; University of Minnesota System; University of Minnesota Twin Cities
刊物名称:
STRATEGIC MANAGEMENT JOURNAL
ISSN/ISSBN:
0143-2095
DOI:
10.1002/smj.3354
发表日期:
2022
页码:
822-846
关键词:
agglomeration
DYNAMICS
industry clusters
life cycle
measurement
摘要:
Research Summary: An extensive body of research examines concentration levels (i.e., mass) of industry clusters; however, little attention is paid to their dynamics (i.e., motion). Understanding cluster dynamics is important because how clusters change over time may have implications for firm strategies and outcomes that are not attributable to cluster mass alone. To advance scholarship, we derive a theoretically grounded measure of cluster motion. Applying this measure to data on establishments in the U.S. computer and semiconductor industries, we document the dynamic nature of clusters both within and across regions. We demonstrate that our measure of cluster motion is distinct from cluster mass. Furthermore, we document that regions rarely follow stylized descriptions of cluster life cycles, which underscores the importance of measuring and investigating cluster dynamics. Managerial Summary: Industry clusters have been considered important for firm strategy due to their influence over organizational processes and outcomes. Therefore, many firms attend closely to how clusters change over time. However, strategy researchers have devoted relatively little attention to cluster dynamics and their implications for firms. In this study, we develop a framework for understanding cluster dynamics, including an empirical technique. We suggest that improved understanding of cluster dynamics may be useful for helping firms make better location decisions and react more appropriately to changes in clusters within which they have an established presence.