Improving information reliability of non-radial value efficiency analysis: An additive slacks based measure approach

•The concept of value efficiency is introduced in data envelopment analysis.•Non-radial models are developed to calculate value efficiency.•We linearized the additive slacks-based measure (ASBM) model using multi-objective programming.•Value efficiency calculated based on ASBM model.•Application of...

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Vydáno v:European journal of operational research Ročník 298; číslo 3; s. 967 - 978
Hlavní autoři: Gerami, Javad, Mozaffari, Mohammad Reza, Wanke, Peter F., Correa, Henrique L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.05.2022
Témata:
Additive slacks-based measure
Data envelopment analysis
Multiple objective linear programming
Non-radial
Value efficiency
Non-radial
Additive slacks-based measure
Value efficiency
Multiple objective linear programming
Data envelopment analysis
ISSN:0377-2217, 1872-6860
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Shrnutí:•The concept of value efficiency is introduced in data envelopment analysis.•Non-radial models are developed to calculate value efficiency.•We linearized the additive slacks-based measure (ASBM) model using multi-objective programming.•Value efficiency calculated based on ASBM model.•Application of the proposed model to evaluate value efficiency of bank branches. The value efficiency approach is one possible way of incorporating information preferences into performance analysis of Decision-Making Units (DMUs). In this paper, we propose a novel geometric interpretation of value efficiency while plugging it into radial and non-radial DEA (Data Envelopment Analysis) models under the assumption of variable returns to scale. In addition, this novel geometric interpretation of value efficiency is extended to Additive Slacks-Based Measure (ASBM) modeling. This is achieved by linearization of non-radial DEA models using multi-objective programming. Performance of such proposed approaches in terms of reliability and discriminatory power are compared through a case study involving Finish bank branches. Research implications are then derived and conclusions are drawn.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2021.07.036