Crowston, Kevin, et al. “Evolving Novel Organizational Forms”. Computational Organization Theory, Lawrence Erlbaum, 1994, pp. 19-38.
Keywords
Abstract
A key problem in organization theory is to suggest new organizational forms. In this paper, I suggest the use of genetic algorithms to search for novel organizational forms by reproducing some of the mechanics of organizational evolution. Issues in using genetic algorithms include identification of the unit of selection, development of a representation and determination of a method for calculating organizational fitness. As an example of the approach, I test a proposition of Thompson's about how interdependent positions should be assigned to groups.
Year of Publication
1994
Book Title
Computational Organization Theory
Number of Pages
19-38
Publisher
Lawrence Erlbaum
City
Hillsdale, NJ
ISBN Number
0-8058-1406-X