Data envelopment analysis (DEA) methods for maximizing efficiency /

Bibliographic Details
Corporate Author: IGI Global Online
Other Authors: Vajjhala, Narasimha Rao (Editor), Ajibesin, Adeyemi Abel (Editor)
Format: eBook
Language:English
Published: Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, c2024
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Chapter 1. Effects of public capital investments on the productivity of the United States, 1992-2022
  • Chapter 2. Data envelopment analysis advantages and problems demonstrated in a university comparison study
  • Chapter 3. Productivity profiles of Islamic banks using data envelopment analysis-based malmquist productivity indices (MPIs): Survey, classification, and critical analysis
  • Chapter 4. Efficiency analysis of a surgery roadmap based on lean manufacturing techniques, simulation, and data envelopment analysis
  • Chapter 5. Synthetic data generation: methods, applications, and multidisciplinary use cases
  • Chapter 6. Data envelopment analysis-based approach for maximizing energy efficiency in ad hoc networks
  • Chapter 7. Efficiency benchmarking through data envelopment analysis: evaluating disruptive technologies in India's key sectors
  • Chapter 8. Data envelopment analysis for improving the microgrid operations
  • Chapter 9. Advancing supply chain efficiency and sustainability: a comprehensive review of data envelopment analysis applications
  • Chapter 10. Efficiency assessment and optimization in renewable energy systems using data envelopment analysis
  • Chapter 11. Data envelopment analysis in healthcare management: overview of the latest trends
  • Chapter 12. Exploring productivity by evaluating ISP efficiency in Nigeria's telecommunications sector
  • Chapter 13. Comparison of cost and profit efficiencies of Indian public sector banks in the post-reform period
  • Chapter 14. Impact of mergers and acquisitions on shareholder wealth in Indian banks: a data envelopment analysis approach.