A5065020088- Efficiency Analysis Using DEA
- Economic and Environmental Valuation
- Optimization and Mathematical Programming
- Multi-Criteria Decision Making
- Fiscal Policy and Economic Growth
- Environmental Impact and Sustainability
- Monetary Policy and Economic Impact
- Economic Growth and Productivity
- Supply Chain and Inventory Management
- Quality and Supply Management
- Healthcare Policy and Management
- Capital Investment and Risk Analysis
- Firm Innovation and Growth
- ICT Impact and Policies
- Sustainable Supply Chain Management
- Spatial and Panel Data Analysis
- Banking stability, regulation, efficiency
- Accounting and Organizational Management
- Auction Theory and Applications
- Big Data and Business Intelligence
- Digital Platforms and Economics
- Forecasting Techniques and Applications
- Energy Efficiency and Management
- Consumer Market Behavior and Pricing
- Financial Markets and Investment Strategies
Worcester Polytechnic Institute
2015-2024
University of Virginia
2017-2024
Nanjing Audit University
2014-2021
National Yunlin University of Science and Technology
2018
University of Technology Sydney
2015
National Cheng Kung University
2007
University of Massachusetts Lowell
2003
Osaka University
2003
University of Michigan
2002
University of Massachusetts Amherst
1996-1998
Utilizing recent developments in data envelopment analysis (DEA), this paper examines the performance of top 55 U.S. commercial banks via a two-stage production process that separates profitability and marketability. Substantial inefficiency is uncovered both dimensions. Relatively large exhibit better on profitability, whereas smaller tend to perform with respect New context-dependent measures are defined for marketability which employ DEA stratification model attractiveness measure. When...
Abstract Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). This tool has been utilized by number authors to examine two‐stage processes, where all outputs from first stage are only inputs second stage. The current article examines and extends these models using game theory concepts. resulting linear, imply an decomposition overall process product efficiencies two individual stages. When there one intermediate measure connecting...
AbstractThe paper investigates the infeasibility of super-efficiency data envelopment analysis (DEA) models in which unit under evaluation is excluded from reference set. Necessary and sufficient conditions are provided for DEA measures. By returns to scale (RTS) classifications obtained standard model, we can further locate position when occurs. It shown that ranking total set efficient DMUs impossible because models. Also able identify endpoint positions extreme units. The results useful...
In this paper, we examine the cross-efficiency concept in data envelopment analysis (DEA). Cross efficiency links one decision-making unit's (DMU) performance with others and has appeal that scores arise from peer evaluation. However, a number of current approaches are flawed because they use arbitrary depend on particular set optimal DEA weights generated by computer code at time. One (possibly out many alternate optima) may improve cross some DMUs, but expense others. While models have...