Service sector performance by a non-parametric approach: a critical review Online publication date: Wed, 28-Jul-2021
by Preeti; Supriyo Roy
International Journal of Process Management and Benchmarking (IJPMB), Vol. 11, No. 4, 2021
Abstract: Due to intangibility and heterogeneity of the service sector, measuring and benchmarking the performance is a critical issue. Over the years, many researchers have focused on measuring the performance of the service sector using the non-parametric approach. Present study carried out an extensive literature survey targeting the performance measurement in the service sector using data envelopment analysis (DEA), a non-parametric approach. An attempt has been made primarily to showcase a holistic list of different models of DEA as applicable in diverse sectors in the Indian economy. The implications of the findings will prove beneficial in quantifying pros and cons of the different policy devised by the practitioners in the banking sector of Indian economy. The outcome of the study will be helpful for researchers as well as academicians in identifying the possible models of DEA that may be used to benchmark the performance of the concerned sector while identifying factors that affects the performance.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Process Management and Benchmarking (IJPMB):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com