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A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry

Overview of attention for article published in Expert Systems with Applications, February 2018
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55 Mendeley
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Article details
Title
A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry
Published in
Expert Systems with Applications, February 2018
DOI 10.1016/j.eswa.2017.09.034
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 31%
Student > Master 6 11%
Professor > Associate Professor 4 7%
Lecturer 3 5%
Professor 3 5%
Other 10 18%
Unknown 12 22%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 12 22%
Economics, Econometrics and Finance 9 16%
Mathematics 4 7%
Computer Science 4 7%
Decision Sciences 4 7%
Other 7 13%
Unknown 15 27%