Benchmarking Indian telecom service providers: a data envelopment analysis

2012 ◽  
Vol 6 (3/4) ◽  
pp. 268 ◽  
Author(s):  
V.R. Pramod ◽  
D.K. Banwet
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Data Envelopment ◽  
Telecom Service

scholarly journals An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria

2019 ◽  
Vol 11 (8) ◽  
pp. 2330 ◽  
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Performance Criteria ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Dea Model ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Proposed Model ◽  
Hierarchy Process

Sustainable concerns are reputed to be of the utmost priority among governments. Consequently, they have become more and more of a concern among supply chain partners. Logistics service providers (LPs), as significant contributors to supply chain success but also one of the greatest generator of emissions, play a significant role in reducing the negative environmental impact. Thus, the performance evaluations of LPs should necessarily involve such a measure which, firstly, represents a balance between all three pillars of sustainability and, secondly, consider the desirable and undesirable performance criteria. This paper proposes an integrated analytic hierarchy process (AHP) and slack-based measure (SBM) data envelopment analysis (DEA) model, based on the assumption of a variable return to scale (VRS). An AHP pairwise comparison enables selecting the most influential input/output variables. Output-oriented SBM DEA provides simultaneously evaluation of both the undesirable and desirable outputs. The proposed model was tested on a numerical example of 18 LPs. The comparison of output Charnes, Cooper and Rhodes (CCR) and SBM DEA models resulted in a higher number of inefficient LPs when the SBM DEA model was applied. Moreover, efficiency scores of inefficient LPs were lower in SBM DEA model. The proposed model is fair to those LPs that are environmentally friendly.

scholarly journals Effective Decision Making: Data Envelopment Analysis for Efficiency Evaluation in the Cloud Computing Marketplaces

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 309
Author(s):  
Chia-Nan Wang ◽  
Minh-Nhat Nguyen ◽  
Thi-Duong Nguyen ◽  
Hsien-Pin Hsu ◽  
Thi-Hai-Yen Nguyen
Keyword(s):  
Cloud Computing ◽  
Data Envelopment Analysis ◽  
Business Performance ◽  
Service Providers ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
The Past ◽  
Cloud Computing Service

Assessing business performance is a critical issue for practicing managers, and business performance has always been of interest to managers and researchers. In recent years, the world has experienced a rapid growth in the cloud computing service sector thanks to its benefits to business organizations and economic development. Therefore, the performance efficiency of this sector has been concerned as one of the keys in today’s economic environment. This study aimed to assess the performance efficiency of cloud computing service providers in the United States of America, one of the biggest global markets in terms of cloud computing, by applying the data envelopment analysis models. The efficiency of cloud computing providers was evaluated based on the assumption of the non-cooperative game among cloud computing providers in which providers selfishly choose the best strategy to maximize their payoff with three stages. In the first stage, the performance of these providers over the past period was measured by a super slack-based measure. In the second stage, the performance in the future period was predicted by the new data envelopment analysis model: the past–present–future model based on resampling. In the last stage, the efficiency improvement was investigated by adopting the Malmquist productivity index. The findings of this study indicated that the percentage of inefficient providers would increase from 10% in the period from 2017 to 2020 to 20% for 2021 and 2024. Moreover, 30% of providers showed a regress in performance efficiency over the research period of 2017 to 2024. The results of this study provide an insight picture to the decision-makers, and this research will fill the gap in the literature as the first study that measures and predicts the performance efficiency of cloud computing service providers, which will provide a helpful reference for future studies.

Assessing the Performance of Telecommunication Industry in India: A Data Envelopment Analysis

2010 ◽  
Vol 11 (2) ◽  
pp. 29-47
Author(s):  
Seema Sharma ◽  
Kirankumar Momaya ◽  
K. Manohar
Keyword(s):  
Data Envelopment Analysis ◽  
Rapid Growth ◽  
Service Providers ◽  
Efficiency Analysis ◽  
Scale Efficiency ◽  
Telecommunication Industry ◽  
Data Envelopment ◽  
Telecom Industry ◽  
Productivity And Competitiveness

Rapid growth of telecommunications in India has been creating opportunities for many players from Asia, Europe and other parts of world. Relative assessment of efficiencies can be used to enhance productivity and competitiveness. In this study an attempt is made to evaluate competitiveness of the telecom industry in India focusing on the efficiency. Input oriented data envelopment analysis is used to measure the relative technical and scale efficiencies of 10 service providers. Further, using output oriented model, the efficiency analysis is extended to 23 service circle areas. From the analysis performed on service providers the technically and scale efficient firms were identified. Technical and scale efficiency were assessed at circle level also. The findings confirm some assumptions and hint at several competitiveness implications for leadership in firms and government.

A Non Parametric Approach for Measuring the Operational Efficiency of Water Service Providers

2013 ◽  
Vol 409-410 ◽  
pp. 108-113
Author(s):  
Corrado lo Storto
Keyword(s):  
Data Envelopment Analysis ◽  
Service Providers ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Water Service ◽  
Financial Variables ◽  
Physical Infrastructure ◽  
Infrastructure Network ◽  
Non Parametric

This paper presents a benchmarking study that measures operational efficiency of water service providers. The problem of measuring the operational efficiency of water suppliers is addressed by adopting a non parametric approach based on Data Envelopment Analysis. The benchmarking model uses both physical infrastructure network and financial variables. The model is implemented calculating efficiencies of 53 Italian service providers. Results show that there are important operational inefficiencies, mostly due to scale diseconomies.

Data envelopment analysis for estimating efficiency of intensive care units: a case study in Iran

2018 ◽  
Vol 31 (4) ◽  
pp. 276-282 ◽  
Author(s):  
Mohammad Amin Bahrami ◽  
Sima Rafiei ◽  
Mahdieh Abedi ◽  
Roohollah Askari
Keyword(s):  
Intensive Care ◽  
Data Envelopment Analysis ◽  
Intensive Care Units ◽  
Service Providers ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Comparative Performance ◽  
Content Type ◽  
Low Efficiency

Purpose As hospitals are the most costly service providers in every healthcare systems, special attention should be given to their performance in terms of resource allocation and consumption. The purpose of this paper is to evaluate technical, allocative and economic efficiency in intensive care units (ICUs) of hospitals affiliated by Yazd University of Medical Sciences (YUMS) in 2015. Design/methodology/approach This was a descriptive, analytical study conducted in ICUs of seven training hospitals affiliated by YUMS using data envelopment analysis (DEA) in 2015. The number of physicians, nurses, active beds and equipment were regarded as input variables and bed occupancy rate, the number of discharged patients, economic information such as bed price and physicians’ fees were mentioned as output variables of the study. Available data from study variables were retrospectively gathered and analyzed through the Deap 2.1 software using the variable returns to scale methodology. Findings The study findings revealed the average scores of allocative, economic, technical, managerial and scale efficiency to be relatively 0.956, 0.866, 0.883, 0.89 and 0.913. Regarding to latter three types of efficiency, five hospitals had desirable performance. Practical implications Given that additional costs due to an extra number of manpower or unnecessary capital resources impose economic pressure on hospitals also the fact that reduction of surplus production plays a major role in reducing such expenditures in hospitals, it is suggested that departments with low efficiency reduce their input surpluses to achieve the optimal level of performance. Originality/value The authors applied a DEA approach to measure allocative, economic, technical, managerial and scale efficiency of under-study hospitals. This is a helpful linear programming method which acts as a powerful and understandable approach for comparative performance assessment in healthcare settings and a guidance for healthcare managers to improve their departments’ performance.

scholarly journals Cost Efficiency of Indian Life Insurance Service Providers using Data Envelopment Analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Mihir Dash ◽  
Arpana Muthyala
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Cost Efficiency ◽  
High Efficiency ◽  
Service Providers ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Major Life ◽  
Using Data ◽  
Research Period

This study examines the cost efficiency of Indian life insurance service providers using Data Envelopment Analysis. The study was performed for a sample of fifteen of the major life insurance companies in India, accounting for 94.77% of the total market for life insurance in India, over the period of 2010-17. The study extends the scope of cost efficiency by disaggregating the premium collection into components. Also, to provide more detailed insights, the efficiency of the life insurance companies is also analysed with respect to each input and output individually.The results of the study show that the most efficient Indian life insurance companies are Life Insurance Corporation, which has been consistently 100% efficient throughout the research period, followed by SBI Life and ICICI Prudential Life, which have also shown consistently high efficiency over the research period. On the other hand, the least efficient life insurance companies are Max New York Life, followed by PNB Met Life, Reliance Life, and Bharati AXA Life. The results of the study also indicate the strengths and weaknesses of the Indian life insurance providers.

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