Citation

Kannan, Pavala Malar and Marthandan, Govindan (2018) A three-stage data envelopment analysis combined with artificial neural network model for measuring the efficiency of electric utilities. In: Issues and Trends in Interdisciplinary Behavior and Social Science - Proceedings of the 6th International Congress on Interdisciplinary Behavior and Social Sciences, ICIBSoS 2017.

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Abstract

The study of efficiency measurement was pioneered by Farnell in 1957. Since then, researchers in this field have developed many models to measure the efficiency of firms. However, there is no universally acceptable model to measure the efficiency of electric utilities due to differences in the selection of measures, countries’ socioeconomic structures, as well as quality and availability of data. The purpose of this study was to measure and rank the efficiency of electric utilities using a Three-Stage Data Envelopment Analysis-Artificial Neural Network (3S DEA-ANN) model. The model is developed using R programming and RStudio software.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Electric utilities
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5601-5689 Accounting. Bookkeeping
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Apr 2021 14:48
Last Modified:	28 Apr 2021 14:48
URII:	http://shdl.mmu.edu.my/id/eprint/7660

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