The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Springer eBooks Summary: Based upon the author’s years of research and teaching experiences, this 3rd Edition introduces Data Envelopment Analysis (DEA) as a data analysis tool for multiple-measure performance evaluation and benchmarking. Chapter 1: Data Envelopment Analysis - Chapter 2: Envelopment DEA Models - Chapter 3: Multiplier DEA Model - Chapter 4: DEA Cross Efficiency - Chapter 5: Slack-Based DEA Models - Chapter 6: Measure-Specific DEA Models.- Chapter 7: Non-radical DEA Models and DEA with Preference - Chapter 8: Modeling Undesirable Measures - Chapter 9: Context-dependent Data Envelopment Analysis - Chapter 10: Super Efficiency - Chapter 11: Sensitivity Analysis - Chapter 12: Benchmarking Models - Chapter 13: Returns-to-Scale - Chapter 14: DEA Models for Two-Stage Network Processes - Chapter 15: Models for Evaluating Supply Chains and Network Structures - Chapter 16: Congestion.- Chapter 17: Identifying Critical Measures in DEA.- Chapter 18: Interval and Ordinal Data in DEA.- Chapter 19: DEAFrontier Software.
