Density Delay and Organizational Survival: Computational Models and Empirical Comparisons

Alessandro Lomi () and Erik Reimer Larsen ()
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Alessandro Lomi: University of Bologna
Erik Reimer Larsen: University of Bologna

Computational and Mathematical Organization Theory, 1998, vol. 3, issue 4, No 1, 219-247

Abstract: Abstract Research on the ecological dynamics oforganizational populations has demonstrated that competitiveconditions at the time of founding have enduring effects onorganizational survival. According to ecological theories,organizational life chances are systematically affected by density (the number of organizations in a population) at thetime of founding because the lower resource endowments thatcharacterize organizations appearing in periods of highpopulation density tend to become self-reinforcing, and—over time—amplify differences in mortality rates oforganizations founded under different conditions. However,credible arguments have been offered that could justify both positive and negative effects of the delayed effectsof population density on organizational mortality rates, andreceived empirical research in part reflects this ambiguity.To develop new insight into this issue and to explore theboundaries of received empirical results, in this study wepresent a computational model of organizational evolutionaccording to which the global dynamics of organizationalpopulations emerge from the iteration of simple rules oflocal interaction among individual organizations. We use the synthetic data produced by simulation to estimate eventhistory models of organizational mortality, and compare theparameter estimates with those reported in the most recentempirical studies of actual organizational populations. Theconclusions supported by the model qualify and extendreceived empirical results, and suggest that delayed effectsof density are highly sensitive the details of local structure of connections among members of organizationalpopulations.

Keywords: computational models of organizations; organizational ecology; cellular automata; simulation (search for similar items in EconPapers)
Date: 1998
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DOI: 10.1023/A:1009677810597

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