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UID:

Umfang: 1 Online-Ressource (xiv, 405 Seiten) , Illustrationen, Diagramme

ISBN: 9783030052522

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05251-5

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05253-9

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Entscheidung bei Unsicherheit ; Aufsatzsammlung

DOI: 10.1007/978-3-030-05252-2

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: Buchcover

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Umfang: 1 online resource (408 pages)

Ausgabe: 1st ed.

ISBN: 9783030052522

Anmerkung: Intro -- Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 The Need for Considering Uncertainty in Decisionmaking -- 1.2 A Framework for Decision Support -- 1.3 Dealing with Uncertainty in Decisionmaking -- 1.4 Decisionmaking Under Deep Uncertainty -- 1.5 Generic Elements of DMDU Approaches-A Framework -- 1.6 An Introduction to the DMDU Tools and Approaches -- 1.7 Structure of the Book -- References -- DMDU Approaches -- 2 Robust Decision Making (RDM) -- 2.1 Introduction -- 2.2 RDM Foundations -- 2.3 RDM Process -- 2.4 Tools -- 2.5 Example: Carrots and Sticks for New Technology -- 2.5.1 Frame the Analysis -- 2.5.2 Perform Exploratory Uncertainty Analysis -- 2.5.3 Choose Initial Actions and Contingent Actions -- 2.5.4 Iterate and Re-Examine (RDM Steps 2, 3, and 5) -- 2.6 Recent Advances and Future Challenges -- References -- 3 Dynamic Adaptive Planning (DAP) -- 3.1 Introduction -- 3.2 The DAP Approach -- 3.3 A DAP Illustration: Strategic Planning for Schiphol Airport -- 3.4 Implementation and Adaptation -- 3.5 Conclusions -- References -- 4 Dynamic Adaptive Policy Pathways (DAPP) -- 4.1 Introduction -- 4.2 The DAPP Approach -- 4.3 A DAPP Illustration: Navigation along the Waas River -- 4.4 Under What Conditions Is This Approach Useful? -- 4.5 Recent Advances -- 4.6 Links with Other DMDU Approaches -- 4.7 Future Challenges -- References -- 5 Info-Gap Decision Theory (IG) -- 5.1 Info-Gap Theory: A First Look -- 5.2 IG Robustness: Methodological Outline -- 5.2.1 Three Components of IG Robust Satisficing -- 5.2.2 IG Robustness -- 5.2.3 Prioritization of Competing Decisions -- 5.2.4 How to Evaluate Robustness: Qualitative or Quantitative? -- 5.3 IG Robustness: A Qualitative Example -- 5.3.1 Five Conceptual Proxies for Robustness -- 5.3.2 Simple Qualitative Example: Nuclear Weapon Safety. , 5.4 IG Robustness and Opportuneness: A Quantitative Example -- 5.4.1 IG Robustness -- 5.4.2 Discussion of the Robustness Results -- 5.4.3 IG Opportuneness -- 5.4.4 Discussion of Opportuneness Results -- 5.4.5 An Innovation Dilemma -- 5.4.6 Functional Uncertainty -- 5.5 Conclusion and Future Challenges -- References -- 6 Engineering Options Analysis (EOA) -- 6.1 Introduction -- 6.2 Methodology of Engineering Options Analysis -- 6.2.1 Setting the Scene -- 6.2.2 Definition of an Option -- 6.2.3 Main Steps of Analysis -- 6.2.4 Details of Each Step -- 6.3 A Simple Example: A Parking Garage -- 6.4 Contrasting Engineering Options Analysis with Real Options Analysis -- 6.4.1 Different Professional Contexts -- 6.4.2 Some Specific Differences -- 6.5 Contrasting Engineering Options Analysis with Other Approaches in This Book -- 6.5.1 Engineering Options Analysis as a Planning Approach -- 6.5.2 Engineering Options Analysis as a Computational Decision-Support Tool -- 6.6 Conclusions -- References -- DMDU Applications -- 7 Robust Decision Making (RDM): Application to Water Planning and Climate Policy -- 7.1 Long-Term Planning for Water Resources and Global Climate Technology Transfer -- 7.2 Review of Robust Decision Making -- 7.2.1 Summary of Robust Decision Making -- 7.3 Case Study 1: Using RDM to Support Long-Term Water Resources Planning for the Colorado River Basin -- 7.3.1 Decision Framing for Colorado River Basin Analyses -- 7.3.2 Vulnerabilities of Current Colorado River Basin Management -- 7.3.3 Design and Simulation of Adaptive Strategies -- 7.3.4 Evaluating Regret of Strategies Across Futures -- 7.3.5 Updating Beliefs About the Future to Guide Adaptation -- 7.3.6 Robust Adaptive Strategies, and Implementation Pathways -- 7.3.7 Need for Transformative Solutions -- 7.4 Case Study 2: Using RDM to Develop Climate Mitigation Technology Diffusion Policies. , 7.4.1 Decision Framing for Climate Technology Policy Analysis -- 7.4.2 Modeling International Technological Change -- 7.4.3 Evaluating Policies Across a Wide Range of Plausible Futures -- 7.4.4 Key Vulnerabilities of Climate Technology Policies -- 7.4.5 Developing a Robust Adaptive Climate Technology Policy -- 7.5 Reflections -- References -- 8 Dynamic Adaptive Planning (DAP): The Case of Intelligent Speed Adaptation -- 8.1 Introduction to the Approach -- 8.2 Introduction to the Case -- 8.3 Reason for Choosing the DAP Approach -- 8.4 Methods for Applying DAP -- 8.5 Setting up a DAP Workshop on ISA Implementation -- 8.6 Results of the DAP-ISA Workshop -- 8.7 Evaluation of the DAP Approach -- 8.8 Lessons Learned About the Process of Developing Dynamic Adaptive Plans -- 8.9 Conclusions -- References -- 9 Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- 9.1 Introduction to the Case -- 9.2 Reason for Choosing DAPP -- 9.3 Setup of Approach for Case Study in Practice -- 9.4 Applying DAPP in Practice -- 9.5 Results of Applying the Approach -- 9.6 Reflections (Lessons Learned) for Practice and Theory -- References -- 10 Info-Gap (IG): Robust Design of a Mechanical Latch -- 10.1 Introduction -- 10.2 Application of Info-Gap Robustness for Policymaking -- 10.3 Formulation for the Design of a Mechanical Latch -- 10.4 The Info-Gap Robust Design Methodology -- 10.5 Assessment of Two Competing Designs -- 10.6 Concluding Remarks -- References -- 11 Engineering Options Analysis (EOA): Applications -- 11.1 Case Study 1: Liquid Natural Gas in Victoria State, Australia -- 11.2 Setup of the EOA Approach for the LNG Case Study -- 11.2.1 Design Alternatives -- 11.2.2 Parameter Values -- 11.2.3 Characterization of Sources of Uncertainty -- 11.3 Results from Applying the EOA Approach to the LNG Case Study -- 11.3.1 Fixed Design. , 11.3.2 Performance of Fixed Design Under Uncertainty -- 11.3.3 Flexible Strategies -- 11.3.4 Flexible Strategy-Timing (But No Learning) -- 11.3.5 Flexible Strategy-Timing and Location (But No Learning) -- 11.3.6 Flexible Strategy-Learning -- 11.3.7 Learning Combined with Economies of Scale -- 11.3.8 Multi-criteria Comparison of Strategies -- 11.3.9 Guidance from Applying EOA to This Case -- 11.4 Case Study 2: Water Management Infrastructure in the Netherlands: IJmuiden Pumping Station -- 11.5 Setup of the EOA Approach for the IJmuiden Pumping Station -- 11.5.1 Characterization of Sources of Uncertainty -- 11.5.2 Design Alternatives -- 11.5.3 Details of the Analysis -- 11.6 Results from Applying the EOA Approach to the IJmuiden Pumping Station -- 11.6.1 Inland Water Level Regulation Function -- 11.6.2 Flood Defense Function -- 11.6.3 Guidance from Applying EOA to This Case -- 11.7 Conclusions and Reflections for Practice and Theory -- References -- DMDU-Implementation Processes -- 12 Decision Scaling (DS): Decision Support for Climate Change -- 12.1 Introduction -- 12.2 Technical Approach -- 12.2.1 Overview -- 12.2.2 Step 1. Decision Framing -- 12.2.3 Step 2. Climate Stress Test -- 12.2.4 Step 3. Estimation of Climate-Informed Risks -- 12.3 Case Study: Assessing Climate Risks to the Water Supply for Colorado Springs, Colorado, USA -- 12.3.1 Step 1: Decision Framing -- 12.3.2 Step 2: Climate Stress Test -- 12.3.3 Step 3. Estimation of Climate-Informed Risks -- 12.4 Conclusions -- References -- 13 A Conceptual Model of Planned Adaptation (PA) -- 13.1 Introduction -- 13.2 Planned Adaptation Cases -- 13.2.1 Particulate Matter Standards -- 13.2.2 Delta Management in the Netherlands -- 13.2.3 Air Transportation Safety -- 13.2.4 Internet Number Delegation -- 13.3 Generalizing Elements of Planned Adaptation -- 13.3.1 Disentangling Primary and Secondary Rules. , 13.3.2 Triggers and Events -- 13.3.3 Evaluation -- 13.4 Conclusions and Ongoing Work -- 13.4.1 Combinations of Adaptive Capabilities -- 13.4.2 Planning and Designing for Adaptation -- 13.4.3 Implications for Future Study -- References -- 14 DMDU into Practice: Adaptive Delta Management in The Netherlands -- 14.1 Organizational Aspects of Putting a DMDU Approach into Practice -- 14.2 The Case Study: Adaptive Delta Management -- 14.3 Phase I: Prior to the Start of ADM (Politicization and De-politicization) -- 14.3.1 Build a Constituency for Change that Will Allow Political Commitments to Be Made -- 14.3.2 Develop Attractive and Plausible Perspectives: The Second Delta Committee -- 14.3.3 Enhance Public Awareness and Political Commitment -- 14.3.4 Stabilize Processes -- Build Trust and Continuity into the Structure of the programme -- 14.4 Phase II: Developing Strategies and Decisionmaking -- 14.4.1 Create a Narrative that Mobilizes Administrative and Political Decisionmakers -- 14.4.2 Involve All Parties in Developing an Approach for Dealing with Deep Uncertainty -- 14.4.3 Evaluate and Upgrade the Approach Regularly -- 14.4.4 Operationalize the DMDU Approach -- 14.5 Phase III: Elaborating, Implementing, and Adjusting Strategies -- 14.5.1 Plan the Adaptation -- 14.5.2 Organize the Adaptation -- 14.5.3 Rethink Monitoring and Evaluation -- 14.6 Conclusions, Reflections, and Outlook -- References -- DMDU-Synthesis -- 15 Supporting DMDU: A Taxonomy of Approaches and Tools -- 15.1 Introduction -- 15.2 Key Ideas -- 15.2.1 Exploratory Modeling -- 15.2.2 Adaptive Planning -- 15.2.3 Decision Support -- 15.3 A Taxonomy of Approaches and Tools for Supporting Decision Making Under Deep Uncertainty -- 15.3.1 Policy Architecture -- 15.3.2 Generation of Policy Alternatives and Generation of Scenarios -- 15.3.3 Robustness Metrics -- 15.3.4 Vulnerability Analysis. , 15.4 Application of the Taxonomy.

Weitere Ausg.: Print version: Marchau, Vincent A. W. J. Decision Making under Deep Uncertainty Cham : Springer International Publishing AG,c2019 ISBN 9783030052515

Sprache: Englisch

Schlagwort(e): Electronic books. ; Edited volumes ; Handbooks and manuals ; Case studies ; Electronic books

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Umfang: XIV, 405 p. 85 illus., 66 illus. in color. , online resource.

ISBN: 9783030052522

Inhalt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anmerkung: Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook.

In: Springer eBooks

Weitere Ausg.: Printed edition: ISBN 9783030052515

Weitere Ausg.: Printed edition: ISBN 9783030052539

Sprache: Englisch

DOI: 10.1007/978-3-030-05252-2

URL: https://doi.org/10.1007/978-3-030-05252-2

UID:

Umfang: 1 online resource (XIV, 405 p. 85 illus., 66 illus. in color.)

Ausgabe: 1st ed. 2019.

ISBN: 3-030-05252-4

Inhalt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anmerkung: Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook. , English

Weitere Ausg.: ISBN 3-030-05251-6

Sprache: Englisch

DOI: 10.1007/978-3-030-05252-2

UID:

Umfang: 1 online resource (XIV, 405 p. 85 illus., 66 illus. in color.)

Ausgabe: 1st ed. 2019.

ISBN: 3-030-05252-4

Inhalt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anmerkung: Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook. , English

Weitere Ausg.: ISBN 3-030-05251-6

Sprache: Englisch

DOI: 10.1007/978-3-030-05252-2

UID:

Umfang: 1 online resource (XIV, 405 p. 85 illus., 66 illus. in color.)

Ausgabe: 1st ed. 2019.

ISBN: 3-030-05252-4

Inhalt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Anmerkung: Chapter 1. Introduction -- Chapter 2. Robust Decision Making (RDM) -- Chapter 3. Dynamic Adaptive Planning (DAP) -- Chapter 4. Dynamic Adaptive Policy Pathways (DAPP) -- Chapter 5. Info-Gap (IG) Decision Theory -- Chapter 6. Engineering Options Analysis (EOA) -- Chapter 7. Robust Decision Making (RDM) Applications Water Planning and Climate Policy -- Chapter 8. Dynamic Adaptive Planning (DAP) – The Case of Intelligent Speed Adaptation -- Chapter 9. Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice -- Chapter 10. Info-Gap (IG) Robust Design of a Mechanical Latch -- Chapter 11. Engineering Options Analysis (EOA) – Applications -- Chapter 12. Decision Scaling (DS): Decision Support for Climate Change -- Chapter 13. A Conceptual Model of Planned Adaptation (PA) -- Chapter 14. DMDU into Practice: Adaptive Delta Management in The Netherlands -- Chapter 15. Supporting DMDU: A Taxonomy of Approaches and Tools -- Chapter 16. Reflections: DMDU and Public Policy for Uncertain Times -- Chapter 17. Conclusions and Outlook. , English

Weitere Ausg.: ISBN 3-030-05251-6

Sprache: Englisch

DOI: 10.1007/978-3-030-05252-2

UID:

Umfang: 1 Online-Ressource (xiv, 405 Seiten) : , Illustrationen, Diagramme.

ISBN: 978-3-030-05252-2

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05251-5

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05253-9

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Entscheidung bei Unsicherheit ; Aufsatzsammlung

DOI: 10.1007/978-3-030-05252-2

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031244252&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

UID:

Umfang: 1 Online-Ressource (xiv, 405 Seiten) : , Illustrationen, Diagramme.

ISBN: 978-3-030-05252-2

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05251-5

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-05253-9

Sprache: Englisch

Fachgebiete: Wirtschaftswissenschaften

Schlagwort(e): Entscheidung bei Unsicherheit ; Aufsatzsammlung

DOI: 10.1007/978-3-030-05252-2

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031244252&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA