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Computational Organization Theory by Michael J. Prietula (1994, Hardcover)
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About this product
Product Identifiers
PublisherTaylor & Francis Group
ISBN-10080581406X
ISBN-139780805814064
eBay Product ID (ePID)22038456097
Product Key Features
Number of Pages336 Pages
LanguageEnglish
Publication NameComputational Organization Theory
SubjectOrganizational Behavior, Computer Simulation, General, Industrial & Organizational Psychology
Publication Year1994
TypeTextbook
Subject AreaComputers, Psychology, Business & Economics
AuthorMichael J. Prietula
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight20.8 Oz
Item Length6 in
Item Width9 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN93-039364
Dewey Edition20
Dewey Decimal158.7
Table Of ContentContents: R.M. Cyert, Foreword. K.M. Carley, M.J. Prietula, Introduction: Computational Organization Theory. R.E. Levitt, G.P. Cohen, J.C. Kunz, C.I. Nass, T. Christiansen, Y. Jin, The "Virtual Design Team": Simulating How Organization Structure and Information Processing Tools Affect Team Performance. K. Crowston, Evolving Novel Organizational Forms. H. Verhagen, M. Masuch, TASCCS: A Synthesis of Double-AISS and Plural-Soar. K.M. Carley, M.J. Prietula, ACTS Theory: Extending the Model of Bounded Rationality. D. Krackhardt, Graph Theoretical Dimensions of Informal Organizations. Z. Lin, A Theoretical Evaluation of Measures of Organizational Design: Interrelationship and Performance Predictability. M. Verkama, R.P. Hämäläinen, H. Ehtamo, Modeling and Computational Analysis of Reactive Behavior in Organizations. H.H. Baligh, R.M. Burton, B. Obel, Validating an Expert System That Designs Organizations. T.K. Lant, Computer Simulations of Organizations as Experiential Learning Systems: Implications for Organization Theory. N.S. Glance, B.A. Huberman, Social Dilemmas and Fluid Organizations. D.K. Gode, S. Sunder, Human and Artificially Intelligent Traders in Computer Double Auctions. P. Shi, P.B. Luh, D.L. Kleinman, Team Coordination Under Individual and Team Goals. G.E.G. Beroggi, W.A. Wallace, A Decision Logic for Operational Risk Management.
SynopsisThis 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.
LC Classification NumberHF5548.8.C583 1994
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