Passing The Buck In The Garbage Can Model Of Organizational Choice
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Passing the Buck in the Garbage Can Model of Organizational Choice
We reconstruct Cohen, March and Olsen's Garbage Can model of organizational choice as an agent-based model. In the original model, the members of an organization can postpone decision-making. We add another means for avoiding making decisions, that of buck-passing difficult problems to colleagues. We find that selfish individual behavior, such as postponing decision-making and buck-passing, does not necessarily imply dysfunctional consequences for the organizational level. The simulation experiments confirm and extend some of the most interesting conclusions of the Garbage Can model: Most decisions are made without solving any problem, organization members face the same old problems again and again, and the few problems that are solved are generally handled at low hierarchical levels. These findings have an implication that was overseen in the original model, namely, that top executives need not be good problem-solvers.
Agent-Based Simulation of Organizational Behavior
The aim of this book is to demonstrate how Agent-Based Modelling (ABM) can be used to enhance the study of social agency, organizational behavior and organizational management. It derives from a workshop, sponsored by the Society for the Study of Artificial Intelligence and the Simulation of Behavior (AISB), held at Bournemouth University Business School in 2014 on “Modelling Organizational Behavior and Social Agency”. The contents of this book are divided into four themes: Perspectives, Modeling Organizational Behavior, Philosophical and Methodological Perspective, and Modeling Organized Crime and Macro-Organizational Phenomena. ABM is a particular and advanced type of computer simulation where the focus of modeling shifts to the agent rather than to the system. This allows for complex and more realistic representations of reality, facilitating an innovative socio-cognitive perspective on organizational studies. The editors and contributing authors claim that the use of ABM may dramatically expand our understanding of human behavior in organizations. This is made possible because of (a) the computational power made available by technological advancements, (b) the relative ease of the programming, (c) the ability to borrow simulation practices from other disciplines, and (d) the ability to demonstrate how the ABM approach clearly enables a socio-cognitive perspective on organizational complexity. Showcasing contributions from academics and researchers of various backgrounds and discipline, this volumes provides a global, interdisciplinary perspective.
Industry Competitiveness: Digitalization, Management, and Integration
Author: Aleksei V. Bogoviz
language: en
Publisher: Springer Nature
Release Date: 2021-08-14
This timely book presents a remarkable collection of chapters that provides readers with a coherent framework for understanding the factors driving industry competitiveness in contemporary conditions of economic digitalization and the ongoing transition to industry 4.0. Presenting contributions by scientists, engineers, and field experts, the book focuses on using advanced technologies and applications, building innovative and resilient systems in industrial enterprises, developing competitive management systems, creating competence networks, and enhancing integration to foster and sustain industry competitiveness. Both qualitative and quantitative studies are included, and this collection of diverse perspectives adds to the richness of the volume’s insights. Along with reviewing deep theoretical concepts and innovative approaches, the publication provides practical applications and technological solutions to real-world problems existing in industry. Recent advances in management theory and practice focused on the forces driving competition in industry are also extensively covered by the leading scholars and practitioners.