Computational organization theory
Computational organization theory
Partial deductive closure: logical simulation and management science
Management Science
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Simulation for the Social Scientist
Simulation for the Social Scientist
Computational & Mathematical Organization Theory
Hi-index | 0.01 |
Resource partitioning theory claims that “Increasing concentration enhances the life chances of specialist organizations.” We systematically think through this theory, specify implicit background assumptions, sharpen concepts, and rigorously check the theory's logic. As a result, we increase the theory's explanatory power, and claim—contrary to received opinion'that under certain general conditions, “resource partitioning” and the proliferation of specialists can take place iindependently of organizational mass and relative size effects, size localized competition, diversifying consumer tastes, increasing number of dimensions of the resource space, and changing niche widths. Our analysis makes furthermore clear that specialist and generalist strategies are asymmetric, and shows that not concentration enhances the life chances of specialists but economies of scale instead. Under the conditions explicated, we argue that if scale economies come to dominate, the number of organizations in the population increases, regardless of the incumbents' sizes.