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 model...
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| Other Authors: | , |
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| Format: | Edited Volume |
| Language: | English |
| Published: |
Boston, MA s.l.
Springer US Imprint: Springer
1995
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| Volumes / Articles: | Show Volumes / Articles. |
| DOI: | 10.1007/978-1-4615-2285-0 |
| Subjects: | |
| Online Access: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1007/978-1-4615-2285-0
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| Author Notes: | edited by Richard M. Burton, Børge Obel |
Table of Contents:
- Section 1: Mathematical Programming Models, Hierarchy and DecentralizationMathematical Contingency Modelling for Organizational Design: Taking Stock
- Design Insights from Alternative Decompositions
- Primal and Dual Decomposition as Organizational Design: Price and/or Resource Directive Decomposition
- Aggregation Approaches to Decentralized Planning Structures
- General Mathematical Programming Models in Multi-Level Planning
- Section 2: Hierarchical Planning Models
- A Conceptual Framework for Hierarchical Planning and Bargaining
- Hierarchical Negotiations
- Hierarchical Production Planning
- Section 3: Counterpoint; The Individual and the Emergent Structure
- The Emergence of Organizational Structures
- Technological Spillovers and Incentive Schemes for R&D
- Judging with Uncertainty in Diagnosis.