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This paper uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order...
Persistent link: https://www.econbiz.de/10008599120
This study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating banks’ performance issues from a potential merger. By using a sample of 29 Greek commercial banks the paper provides a six step procedure in order to evaluate...
Persistent link: https://www.econbiz.de/10008534261
This article uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in...
Persistent link: https://www.econbiz.de/10011078552
This research employs a non-parametric, fractional, linear programming method, Data Envelopment Analysis to examine the Customer Service Representative resource allocation efficiency of a major Canadian bank’s model. Two DEA models are proposed, (1) to evaluate the Bank’s national branch...
Persistent link: https://www.econbiz.de/10009455394
A key to enhancing sales force productivity is finding ways to help existing reps sell more. In this paper, we focus on the process of internal efficiency benchmarking of a firm’s sales representatives aimed at identifying strong and weak performers and providing meaningful and actionable...
Persistent link: https://www.econbiz.de/10010308582
The current research discussion postulates a digital transformation, characterized by new and in its extent unknown development and application potentials. At this stage scientists and practitioners know little about how these changes will transform specific work tasks. And the question is still...
Persistent link: https://www.econbiz.de/10012143148
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