... outcomes. The present work advances prior literature by analyzing efficiency and effectiveness of selected Indian banks from 2005–06 to 2019–20. Design/methodology/approach The non-parametric Data Envelopment Analysis is applied owing to its methodological simplicity and its ability to handle multiple...

... studies. Design/methodology/approach In the measurement of efficiency, financial and operational variables were considered for a sample of 68 DMUs. Efficient companies were identified through the data envelopment analysis (DEA) methodology with both CCR and BCC models oriented towards inputs...

... A two-stage methodological approach was employed. First, data envelopment analysis was applied to a sample of 62 Italian state universities. Inputs included current expenditures and intangible assets; outputs consisted of publications, citations, research collaborations and patents. Second, truncated...

... Data Envelopment Analysis (DEA) methodology has been used with three years of data of the health and general insurance companies. Findings In addition to production and investment efficiencies, the capital allocation efficiency of an insurance firm significantly impacts its financial performance...

... using a panel dataset from 1991 to 2021. Design/methodology/approach The study utilised the data envelopment analysis (DEA)-based Malmquist Productivity Index (MPI) to measure nationwide production efficiencies. It first performed a unit root test, cointegration test and pool mean group...

... with a data envelopment analysis (DEA) that provides accurate and reliable productivity measures in a large network of retailers. Design/methodology/approach The methodology is described using a case study of a leading kitchen furniture producer. More specifically, Big Data is used in a two-step analysis...

... Through a case study, the weights of indicators were calculated by the best-worst method (BWM) and the branches' performance was appraised using data envelopment analysis (DEA). Findings The branches were ranked in terms of performance, and sensitivity analysis and statistical tests were conducted...

...-year period (from 2007–2011). The author found that the sampled banks' total productive factor (TFP) change was less than unity, which was 96.5% on average. The main reason for the average productivity loss of 3.5% per annum was technical efficiency change improvement. Data envelopment analysis...

... automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet...

...) and following Feldstein (2005) a modification data envelopment analysis (DEA) model was generated decreasing weighting for income quantile shares, with the highest weight for the poorest group. Thus, an increase in poorer household's income generates higher social welfare than an increase in richer households...

... is performing both operationally and in terms of eco-efficiency. For this purpose, from a methodological point of view, the data envelopment analysis (DEA) was used. Findings The results of the analysis show that the Spanish ceramics industry shows a growing economic trend by taking advantage of lower...

... analysis In order to assess efficiency, frontier analysis methods, such as data envelopment analysis (DEA), contribute in this sense as they model the frontier of technology in a specific organizational context. According to Mayston (2017) , DEA offers many advantages as a technique for analyzing...

...Mahmoud Abdelrahman Kamel; Mohamed El-Sayed Mousa; Randa Mohamed Hamdy Purpose This study used data envelopment analysis (DEA) models to measure financial efficiency of twelve commercial banks listed in the Egyptian stock exchange (CBLSE), along with evaluating changes to the financial efficiency...

...Katarzyna Miszczynska; Piotr Marek Miszczyński Purpose The main aim of the study was to measure and assess the efficiency of the healthcare system in Poland. Design/methodology/approach An output-oriented Data Envelopment Analysis model with a 2-years window analysis extension was used between...

... is estimated by data envelopment analysis. Research samples consist of 412 manufacturing firm-years listed in the Indonesian Stock Exchange. Analysis data use random-effect regression as the main analysis and Huber-White regression as an alternative analysis. Findings This research finds that founding...

... Government policy Priority sector lending Non-radial DEA Slack-based DEA Data envelopment analysis Malmquist index The function of nationalised public sector banks (PSBs) in India, apart from commercial banking, is to facilitate the implementation of the government's policies, such as financial...

... and productivity in the cement industry in Serbia by applying the Data Envelopment Analysis. As already mentioned, a number of studies evaluate acquisition performance using Data Envelopment Analysis, predominantly focusing on the financial sector (Worthington, 2001 ; Rezitis, 2008 ; Radam et al...

... and quantitative factors in the model, which is critical in sugar supply chains involving multi-stakeholders. Design/methodology/approach Integration of quality function deployment (QFD), the fuzzy analytical network process (FANP) and the data envelopment analysis (DEA) is administered to assess...

...Himanshu Seth; Saurabh Chadha; Satyendra Sharma Purpose This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM...

...Gaurav Goyal; Pankaj Dutta Purpose This study investigates the performance of Indian states based on infrastructural investment in social and economic sectors using data envelopment analysis (DEA). Most of the studies in the literature are based on how different elements of infrastructure...