Data Envelopment Analysis (DEA) is a non‐parametric technique for assessing the relative efficiency of decision making units (DMUs) by comparing the ratio of multiple inputs to outputs. Since its ...

The Journal of the Operational Research Society, Vol. 60, No. 11, Data Envelopment Analysis: Theory and Applications (Nov., 2009), pp. 1556-1566 (11 pages) Data envelopment analysis (DEA) is popularly ...

The aim of this study was to determine the levels of technical efficiency on a sample of Irish dairy farms utilizing Data Envelopment Analysis (DEA) and to identify key management and production ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Banking sectors in transition economies have experienced major transformations throughout the 1990s. While some countries ...

Sherman, H. David, and Joe Zhu. Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis. Boston, MA: Springer, 2006.

Metters, R., F. Frei, and V. Vargas. "Measurement of Multiple Sites in Service Firms with Data Envelopment Analysis." Production and Operations Management 8, no. 3 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. For the next four years, big data analytics is expected to be ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...