... 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...

... Fente Tarekegn is the corresponding author and can be contacted at: fyihays@yahoo.com 20 10 2021 07 05 2022 08 09 2022 28 09 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Data envelopment analysis Productivity...

... 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...

.... In order to provide deeper insights into the equal distribution of resources among different groups, a modified DEA models were created from operations research perspective. In the spirit of Rawls (1971) and following Feldstein (2005) a modification data envelopment analysis (DEA) model was generated...

... 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...

... Education economics TOPSIS Technical school performance Data envelopment analysis As Johnes et al. (2017) indicate, human capital attainment provides myriad economic benefits to both individuals (e.g. higher lifetime earnings) and societies (e.g. greater economic growth). Viewed...

...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...

...” data envelopment analysis model (DEA) with slack-based measure (SBM) of efficiency is used. In the second stage, Tobit regression models (Tobin, 1958) are fitted on the efficiency scores to analyse whether PSBs perform differently compared to PVBs on the two efficiency paradigms. The age and size...

... and productivity in the cement industry in Serbia by applying the Data Envelopment Analysis. On the other hand, several recent studies reveal negative effects of cross-border acquisitions on productivity. Gioia and Thomsen (2004) examine cross-border acquisitions in Danish companies during the period 1990–1997...

... 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...