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.
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.
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