Computational Organization Theory

This volume represents an advance in our understanding of how to represent and reason about organizational phenomena. Although organizational theorists have long grappled with the complexities of adaptive agents, ecological systems, and non-linear relations among the basic elements of organizational design, they have not, until recently, had the tools to grapple with these complex relationships. Recent advances in logic, symbolic programming, network analysis, and computer technology have made possible a series of tools that can be used to understand the complexities of organizational behavior. New computational techniques make it possible to develop and test more realistic models of organizational behavior. This volume offers examples of this new breed of models, and provides insight into how these advances and techniques can be used to extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the various chapters demonstrate the value of computational analysis for organizational theory and advance our understanding of the relationship between organizational design and performance. This book contains both theoretical and methodological contributions that enable organizational theorists to use computational and mathematical techniques to systematically address the complex relationships that underlie organizational life. It also presents new -- or sometimes, renewed -- approaches on how to conduct organizational research from multiple formal perspectives including: simulation, numerical analysis, symbolic logic, mathematical modeling, and graph theory.

This volume represents an advance in our understanding of how to represent and reason about organizational phenomena. Although organizational theorists have long grappled with the complexities of adaptive agents, ecological systems, and non-linear relations among the basic elements of organizational design, they have not, until recently, had the tools to grapple with these complex relationships. Recent advances in logic, symbolic programming, network analysis, and computer technology have made possible a series of tools that can be used to understand the complexities of organizational behavior. New computational techniques make it possible to develop and test more realistic models of organizational behavior. This volume offers examples of this new breed of models, and provides insight into how these advances and techniques can be used to extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the various chapters demonstrate the value of computational analysis for organizational theory and advance our understanding of the relationship between organizational design and performance. This book contains both theoretical and methodological contributions that enable organizational theorists to use computational and mathematical techniques to systematically address the complex relationships that underlie organizational life. It also presents new -- or sometimes, renewed -- approaches on how to conduct organizational research from multiple formal perspectives including: simulation, numerical analysis, symbolic logic, mathematical modeling, and graph theory.

Management and organization theories have, in the years, developed rich methodological paraphernalia to test hypotheses. This book addresses possible applications of computer simulation to theory building in management and organizational theory.

Computational Organizational Cognition presents simulations to clearly assess the advantages of agent-based computational organizational cognition (AOC) for both theory and practice, demonstrating how AOC is an essential instrument to explore, understand and analyze the inner complexities of organizational cognition.

An introduction to the use of computer simulation in studying organizational behavior.

2) How has organization theory developed over time, and what structure has the field taken? What assumptions does knowledge produced in organization theory incorporate, and what forms do its knowledge claims take as they are put forward for public adoption? 3) How have certain well-known controversies in organization theory, such as for example, the structure/agency dilemma, the study of organizational culture, the different modes of explanation, the micro/macro controversy, and the differnet explanations produced by organizational economists and sociologists, been dealt with? 4) How, and in what ways, is knowledge generated in organization theory related to action? What features must organization theory knowledge have in order to be actionable, and of relevance to the world 'out there'? How have ethical concerns been taken into account in organization theory? 5) What is the future of organization theory? What direction should the field take? What must change in the way research is conducted and key theoretical terms are conceptualized so that organization theory enhances its capacity to generate valid and relevant knowledge?

Designing Stress Resistant Organizations demonstrates, in a persuasive way, how computational organization theory can be applied to advance the field of management with its successful integration of theory and practice. At the theoretical level, the book contains a comprehensive computational framework called DYCORP, which simulates dynamic and interactive organizational behaviors by incorporating multiple factors such as organizational design, task environment, and stress, and which generates consistent and insightful propositions on organizational performance. The book utilizes an organization science based approach to computational modeling. This approach recognizes the limit of human cognition as it was outlined by Herbert A. Simon in 1947. The model strives to focus on the essence of the reality that is most relevant to the research issue. This approach has been proven to be more beneficial for us to understand the underlying dynamics of the phenomenon.

This book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their applications in computing and information technology, including computer systems design, cryptography and network security. In this second edition proofs of many theorems have been provided, further additions and corrections were made.

An organization's operational structure can either enable or hinder its capability to plan and implement projects. This article examines--via computational models--a study that shows how organizations can improve project performance by changing their organization's structure. In doing so, it defines the study's approach (computational organization theory, or COT) and its methodology (virtual design team, or VDT), describing how the authors modeled and simulated the behavior of organizations under stress, such as those associated with the United States Department of Defense's (DoD) weapons system programs. It reviews the field's literature on three areas that are most relevant to this study; it describes the study's research design, summarizing the foundation and limitations of the three concepts--agent-based (VDT) modeling environment, computational organizational model, and experimental design--that that the authors used to inform their study on the dynamics shaping organizational behavior, concepts which organizations can use to identify those personnel concerns and behaviors that are considered common and those that are considered rare. It then explains the results of the study's computational experiment, detailing how the structural forms used by three hypothetical organizations--varying in degrees of hierarchy, centralization, formalization, autonomy, and empowerment--affects the way each organization performs while implementing projects.