Beskrivelse
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.
CONTENTS
Preface
Richard M. Burton and Børge Obel:
Overview
Section 1:
Mathematical Programming Models, llierarchy and
Decentralization
Richard M. Burton and Bgrge Obel:
Mathematical Contingency Modelling for Organizational
Design: Taking Stock
William W. Damon:
Design Insights from Alternative Decompositions
Kai Holmberg:
Primal and Dual Decomposition as Organizational Design:
Price and/or Resource Directive Decomposition
Kurt Jornsten and Rainer Leisten:
Aggregation Approaches to Decentralized Planning Structures
Jørgen Tind:
General Mathematical Programming Models in
Multi-Level Planning
Section 2:
Hierarchical Planning Models
Christoph Schneeweiss:
A Conceptual Framework for Hierarchical Planning
and Bargaining
Carsten Homburg:
Hierarchical Negotiations
Gulay Barbarosoglu:
Hierarchical Production Planning
