Alessandro Lomi – författare

An introduction to the use of computer simulation in studying organizational behavior.An organization is more than the sum of its parts, and the individual components that function as a complex social system can be understood only by analyzing their collective behavior. This book shows how state-of-the-art simulation methods, including genetic algorithms, neural networks, and cellular automata, can be brought to bear on central problems of organizational theory related to the emergence, permanence, and dissolution of hierarchical macrostructures. The emphasis is on the application of a new generation of equation- and agent-based computational models that can help students of organizations to reformulate their basic research questions starting from assumptions about how to link—rather than separate—different levels of organizational analysis.

The year 2012 was the 40th anniversary of the publication of Cohen, March, and Olsen's influential article "The Garbage Can Model of Organizational Choice", which offered a major new perspective on organizational decision making. To celebrate this enduring paradigm, its impact on our understanding of organizational decision making, and the broad streams of research it has influenced, this collection of papers provides a rich demonstration of the influence that the GCM is continuing to have on current research. The chapters make original contributions to research on organizational decision making by developing new models and theoretical extensions based on or inspired by prior garbage can work, by applying garbage can concepts and interpretations to new problems and novel settings. The book includes a paper from Cohen, March and Olsen, who record their memories of initial encounters with garbage can ideas of organizational decision making, impressions of their current condition, and some thoughts on convolutions they may experience in the years ahead.