... energy consumption and freshwater withdrawals using k-means algorithm. As desirable and undesirable outputs arise simultaneously, the performances are computed using Pure Environmental Index (PEI) and Mixed Environmental Index (MEI) data envelopment analysis (DEA) models. Findings It is expected...

...Nazmiye Eligüzel; Sena Aydoğan Purpose Conventional approaches such as Data Envelopment Analysis (DEA) and Fuzzy Data Envelopment Analysis (FDEA) cannot effectively account for uncertainty, which can lead to imprecise decision-making. Furthermore, these methods frequently rely on precise numbers...

...Qian Long Kweh; Irene Wei Kiong Ting; Chunya Ren; Jawad Asif Purpose This study investigates how the initiatives and controversies related to environmental, social and governance (ESG) explain firm efficiency. Design/methodology/approach Firstly, this study applies data envelopment analysis...

...Chao Yang; Wei Jia Purpose This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China. Design/methodology/approach This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify...

... in the context of the Industry 4.0 supply chain. Design/methodology/approach The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers...

... according to data envelopment analysis and robust programming to design a healthcare network. In the first phase, the efficiency of each potential location is calculated based on the non-radial range-adjusted measure considering desirable and undesirable outputs based on a number of criteria...

...; then, the parameters are optimized through data envelopment analysis (DEA) and differential evolution (DE) algorithm. Finally, a numerical mountain rescue example and comparative analysis between with-DEA and without-DEA are presented to demonstrate the efficiency of the proposed method. The proposed model is suitable...

... to the characteristics of safety production in construction industry, this paper innovatively develops a new cross-efficiency data envelopment analysis method to analyze safety efficiency, which can solve the limitations of traditional methods; and then the safety efficiency and its influencing factors of China's...

... ability of banks. Originality/value This paper combines the data envelopment analysis (DEA) profit efficiency model with performance prediction and proposes a new two-step profit efficiency model, filling a gap in previous studies. Data envelopment analysis Profit efficiency Benchmark Commercial...

...-based logistics Performance evaluation Data envelopment analysis Intuitionistic fuzzy weighted average Dynamic intuitionistic fuzzy weighted average Intuitionistic fuzzy Choquet integral Nomenclature BCC Banker, Charnes and Cooper BM Battery manufacturer (BM) CCR Charnes...

.../approach The proposed approach combines 2-tuple linguistic representation model and data envelopment analysis to obtain the most efficient neuromarketing technique. It is apt to handle information provided by using both linguistic and numerical scales with multiple information sources. Furthermore...

...Seyed Hossein Razavi Hajiagha; Shide Sadat Hashemi; Hannan Amoozad Mahdiraji Purpose – Data envelopment analysis (DEA) is a non-parametric model that is developed for evaluating the relative efficiency of a set of homogeneous decision-making units that each unit transforms multiple inputs...