A decision-oriented approach to performance measurement

Table Of Contents

• Cover
• Title
• Copyright
• About the author(s)/editor(s)
• About the book
• This eBook can be cited
• Table of content
• List of tables
• List of figures
• List of abbreviations
• Abstract
• Zusammenfassung
• Chapter 1: Introduction
• 1.1 Background
• 1.2 Motivations and objectives of the research
• 1.3 Outline of the research
• Chapter 2: An insight into the specification of performance criteria in DEA models for measuring bank efficiency
• Abstract
• 2.1 Introduction
• 2.2 Bank behavior models
• 2.2.1 Foundation of bank behavior models
• 2.2.2 Main bank behavior models
• 2.3 Bank behavior models in DEA applications
• 2.3.1 An introduction to DEA
• 2.3.2 The employment of bank behavior models in empirical DEA studies: A brief review
• 2.4 Pitfalls of DEA applications in measuring bank efficiency
• 2.4.1 Pitfalls associated with DEA’s preference structure concerning inputs and outputs
• 2.4.2 Pitfalls associated with weight imposition on inputs and outputs
• 2.4.3 Pitfalls associated with DEA’s explanatory power
• 2.5 Conclusion
• Chapter 3: Development of Decision-oriented Performance Measurement framework and its application for measuring bank efficiency
• Abstract
• 3.1 Introduction
• 3.2 Background discussion
• 3.3 The Decision-oriented Performance Measurement framework
• 3.3.1 Value setting level – Specifying the reference value system for performance measurement from the fundamental values of key stakeholders
• 3.3.2 Goal setting level – Specifying the actual goals that organizations perform in response to stakeholder values
• 3.3.3 Objective setting level – Deriving and structuring objectives to examine the correspondence between organizations’ actual goals and stakeholder values
• 3.3.4 Factor setting level – Functionalizing performance objectives with production factors
• 3.3.5 Summary and discussion
• 3.4 An application of the DPM framework for measuring bank efficiency
• 3.4.1 The reference value system for bank performance measurement
• 3.4.2 Bank performance criteria regarding different behavior models
• 3.5 Conclusion
• Chapter 4: Deriving performance criteria for German savings banks: An application of the DPM framework to integrate decision making criteria into DEA efficiency assessment
• Abstract
• 4.1 Introduction
• 4.2 The GDEA approach for measuring the value-based and functional efficiency
• 4.2.1 GDEA models
• 4.2.2 GDEA models vs. conventional DEA models
• 4.3 Savings bank performance measurement
• 4.4 Legal framework and business model of German savings banks
• 4.5 Performance criteria for DEA-based analysis of German savings banks
• 4.5.1 The reference value system for German savings banks
• 4.5.2 The strategy and behavior of German savings banks in response to stakeholder values
• 4.5.3 Performance objectives of German savings banks
• 4.5.4 Performance factors of German savings banks
• 4.5.5 Variables for the customized DEA measurement models of German savings banks
• 4.6 Conclusion
• Chapter 5: DEA efficiency of German savings banks: Evidence from a goal-oriented perspective
• Abstract
• 5.1 Introduction
• 5.2 Background information about German savings banks
• 5.2.1 Structure of the German banking system
• 5.2.2 Market position of German savings banks
• 5.3 Measurement model specification and data analysis
• 5.4 Result discussion
• 5.4.1 Efficiency of German savings bank sector under different behavior models
• 5.4.2 Scale efficiency of German savings banks
• 5.5 Conclusion
• Chapter 6: Final conclusion
• References
• Appendix