Kathleen M. Carley - Böcker

This book bridges an important gap between two major approaches to mass communication -- historical and social scientific. To do so, it employs a theory of communication that unifies social, cultural and technological concerns into a systematic and formal framework that is then used to examine the impact of print within the larger socio-cultural context and across multiple historical contexts. The authors integrate historical studies and more abstract formal representations, achieving a set of logically coherent and well-delimited hypotheses that invite further exploration, both historically and experimentally. A second gap that the book addresses is in the area of formal models of communication and diffusion. Such models typically assume a homogeneous population and a communication whose message is abstracted from the complexities of language processing. In contrast, the model presented in this book treats the population as heterogeneous and communications as potentially variable in their content as they move across speakers or readers. Written to address and overcome many of the disciplinary divisions that have prevented the study of print from being approached from the perspective of a unified theory, this book employs a focused interdisciplinary position that encompasses several domains. It shows the underlying compatibility between cognitive and social theory; between the study of language and cognition and the study of technology; between the postmodern interest in the instability of meaning and the social science interest in the diffusion of information; between the effects of technology and issues of cultural homogeneity and heterogeneity. Overall, this book reveals how small, relatively non-interactive, disciplinary-specific conversations about print are usefully conceived of as part of a larger interdisciplinary inquiry.

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.

This text demonstrates 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 behaviours 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 modelling. 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. At the empirical level, this book describes an in-depth, though exploratory, analysis of 69 organizational cases in the corporate world collected from multiple sources, which can provide contrast with and shed insight into the computational framework.The book combines both reporting on the research and how to do it that will appeal to a broad range of individuals. We would anticipate that academic researchers and graduate students will find the book useful and they, in turn, will then add to the growing area of computational organizational theory.

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.

Commanding and controlling organizations in extreme situations is a challenging task in military, intelligence, and disaster management. Such command and control must be quick, effective, and considerate when dealing with the changing, complex, and risky conditions of the situation. To enable optimal command and control under extremes, robust structures and efficient operations are required of organizations. This work discusses how to design and conduct virtual experiments on resilient organizational structures and operational practices using modeling and simulation. The work illustrates key aspects of robustly networked organizations and modeled performance of human decision-makers through examples of naval-air defense, counterterrorism operations, and disaster responses.