use of data envelopment analysis and regression for establishing manpower requirements in a bank

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ID: 199734
2014
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Ranked #28 of 36 articles by views in jbi database of systematic reviews and implementation reports

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Abstract
We describe an approach towards forecasting the manpower requirements in each of the branches of a bank, based on regression models fitted to the sets of efficient branches. DEA is employed to identify the efficient branches within a category, using the numbers of employees in the different grades at each branch as input variables, and the average volumes of different types of work performed by them during a month as output variables. Forecasts of future volumes of work are obtained by fitting a model which takes into account branch and seasonal effects, as well as separate trend effects for each of the branches. The models have been tested on data from a large bank, with very encouraging results. The approach holds great promise for use towards a decision support system for managing the bank's total branch manpower requirements.
Reference Key
fatti2014orionuse Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;L.P. Fatti
Journal jbi database of systematic reviews and implementation reports
Year 2014
DOI
10.5784/14-0-421
URL
http://orion.journals.ac.za/pub/article/view/421
Keywords
general works

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