Ebook: Design Models for Hierarchical Organizations: Computation, Information, and Decentralization

Design Models for Hierarchical Organizations: Computation,Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapter views the organization as an information processing entity. Thus, mathematical models are used to examine information flow and decision procedures, which in turn, form the basis for evaluating organization designs. Each chapters stands alone as a contribution to organization design and the modeling approach to design. Moreover, the chapters fit together and that totality gives us a good understanding of where we are with this approach to organizational design issues and where we should focus our research efforts in the future.

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Design Models for Hierarchical Organizations: Computation,Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapter views the organization as an information processing entity. Thus, mathematical models are used to examine information flow and decision procedures, which in turn, form the basis for evaluating organization designs. Each chapters stands alone as a contribution to organization design and the modeling approach to design. Moreover, the chapters fit together and that totality gives us a good understanding of where we are with this approach to organizational design issues and where we should focus our research efforts in the future.

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Design Models for Hierarchical Organizations: Computation,Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapter views the organization as an information processing entity. Thus, mathematical models are used to examine information flow and decision procedures, which in turn, form the basis for evaluating organization designs. Each chapters stands alone as a contribution to organization design and the modeling approach to design. Moreover, the chapters fit together and that totality gives us a good understanding of where we are with this approach to organizational design issues and where we should focus our research efforts in the future.

Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Mathematical Contingency Modelling for Organizational Design: Taking Stock....Pages 3-34
University Administration: Design Insights from Alternative Decompositions....Pages 35-59
Primal and Dual Decomposition as Organizational Design: Price and/or Resource Directive Decomposition....Pages 61-92
Aggregation Approaches to Decentralized Planning Structures....Pages 93-119
General Mathematical Programming Models in Multi-Level Planning....Pages 121-134
Front Matter....Pages 135-135
A Conceptual Framework for Hierarchical Planning and Bargaining....Pages 137-160
Hierarchical Negotiations....Pages 161-180
Hierarchical Production Planning....Pages 181-206
Front Matter....Pages 207-207
The Emergence of Organizational Structures....Pages 209-231
Technological Spillovers and Incentive Schemes for R&D....Pages 233-259
Judging with Uncertainty in Diagnosis....Pages 261-279

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Design Models for Hierarchical Organizations: Computation,Information, and Decentralization provides state-of-the-art research on organizational design models, and in particular on mathematical models. Each chapter views the organization as an information processing entity. Thus, mathematical models are used to examine information flow and decision procedures, which in turn, form the basis for evaluating organization designs. Each chapters stands alone as a contribution to organization design and the modeling approach to design. Moreover, the chapters fit together and that totality gives us a good understanding of where we are with this approach to organizational design issues and where we should focus our research efforts in the future.

Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Mathematical Contingency Modelling for Organizational Design: Taking Stock....Pages 3-34
University Administration: Design Insights from Alternative Decompositions....Pages 35-59
Primal and Dual Decomposition as Organizational Design: Price and/or Resource Directive Decomposition....Pages 61-92
Aggregation Approaches to Decentralized Planning Structures....Pages 93-119
General Mathematical Programming Models in Multi-Level Planning....Pages 121-134
Front Matter....Pages 135-135
A Conceptual Framework for Hierarchical Planning and Bargaining....Pages 137-160
Hierarchical Negotiations....Pages 161-180
Hierarchical Production Planning....Pages 181-206
Front Matter....Pages 207-207
The Emergence of Organizational Structures....Pages 209-231
Technological Spillovers and Incentive Schemes for R&D....Pages 233-259
Judging with Uncertainty in Diagnosis....Pages 261-279
....