Indeed, there has been an upsurge of work in the area of computational organization theory in the past decade. Models of organizations are now much more sophisticated. Increasingly researchers are using more similar representations of organizational structure. Further, techniques for analyzing and validating these models have improved. Work in this area demonstrates that valuable predictions and prescription are only possible by modeling tasks and structure in detail. Also, the models, serve as valuable management tools in part because they get managers to think systematically about design issues and because they enable what-if analysis. Research in this area, broadly speaking, speaks to issues of (1) organizational design Q the influence of strategies for organizational adaptation on what organizational structures emerge, (2) organizational learning Q whether the aggregate impacts of individual learning or strategies for organizational adaptation are more effective in increasing organizational productivity, (3) technology transfer Q the influence of inter organizational personnel transfers and journeymen on organizations and their performance; and (4) computational organization theory Q use of adaptive architectures to explore organizational adaptation.
In this study, I use a computational model of constraint based organizational adaptation on the basis of expectations about a changing environment. The model represents organizational expectation based learning using a simulated annealing model and individual experiential learning using a fairly standard feedback based model. This dual level model allows the organization to learn separate from the learning of the individuals within it and captures much of what is meant in the literature by organizational learning. A series of virtual experiments are being conducted to determine the types of organizational adaptations that are most effective given different types of environmental conditions. The goal is to develop a general principles of organizational adaptation that are applicable to both human and non-human organizations. Initial results indicate that successful adaptation, at least in some environments, requires having a flexible structure in which there are a large number of personnel with wide and fairly specialized experience.
Golden Nugget:
ORGANIZATIONAL ADAPTATION:
THE USE OF SIMULATED ANNEALING TO STUDY ORGANIZATIONAL ADAPTATION
In this age of global competition and rapidly changing technology it is very
important to better understand how organizations can evolve and adapt
their behavior so that they can maintain or improve performance even as
the environment they are facing is changing. Using a computational
model of constraint based organizational adaptation on the basis of
expectations about a changing environment a series of virtual
experiments are being conducted to determine the types of organizational
adaptations that are most effective given different types of environmental
conditions. The goal is to develop a general principles of organizational
adaptation that are applicable to both human and non-human
organizations.
For related work see:
Kathleen M. Carley, forthcoming, "Constraint Based Adaptation" To
appear in M. Lee (Ed.)Chaos, Complexity and Society, Sage.
Kathleen M. Carley & David M. Svoboda, 1996, RModeling Organizational Adaptation as a Simulated Annealing Process.S Sociological Methods and Research, 25(1): 138-168.
Kathleen M. Carley, 1996, RA Comparison of Artificial and Human Organizations. S Journal of Economic Behavior and Organization. 896: 1-17.