Things change: Dynamic resource constraints and system-dependent selection in the evolution of organizational populations

成果类型:
Article
署名作者:
Lomi, A; Larsen, ER; Freeman, JH
署名单位:
University of Bologna; City St Georges, University of London; University of California System; University of California Berkeley
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.1050.0364
发表日期:
2005
页码:
882-903
关键词:
organizations and environments system-dependent selection organizational ecology
摘要:
An extensive empirical literature has demonstrated the existence of. density-dependent selection in organizational vital rates. This research has also shown that historical trajectories followed by organizational populations only partly conform to the predictions of the original model. Inconsistencies with the model's predictions prompt a series of questions: Why do organizational populations suddenly, collapse after reaching a peak? Why do organizational populations oscillate after collapsing? What causes extinction of organizational forms? To address these questions, scholars have proposed a variety of modifications to the original model of density dependence. All have merit, but none is completely satisfying. The main objective of this study is to narrow the gap between theories, models, and observed historical trajectories by identifying a unitary analytical framework that can account for the variety of empirical trajectories typically followed by mature organizational populations. The model that we present is based on the hypothesis of system-dependent selection, according to which patterns of resource availability are produced by processes that are partly endogenous to organizational populations. The main analytical insight of the study is that under conditions of dynamic resource constraints introduced by system-dependent selection, the,presence of population-level inertia leads to a rich variety of historical trajectories during population maturity. We show that this result holds in the absence of any particular assumption about the microstructure of organizational populations. Possible trajectories include sustained oscillations, resurgence, and extinction.