A learning ladder toward efficiency: Proposing network-based stepwise benchmark selection |
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| Institution: | 1. Department of Industrial Management, University of Seville, Spain;2. Engineering School, University of Oviedo, Spain;1. Department of Computer''s Sciences, Technical School of Computer Engineering, Rey Juan Carlos University, Madrid, Spain;2. University Institute of Health Care Evaluation, School of Medicine, Universidad Complutense de Madrid, Madrid 28040, Spain;3. Department of Statistics and Operations Research, School of Statistics Studies, Universidad Complutense de Madrid, Madrid 28040, Spain;1. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, Belgrade, Serbia;2. Faculty of Mathematics, University of Belgrade, Studentski trg 16, Belgrade, Serbia;3. Faculty of Economics, University of Belgrade, Kamenička 6, Belgrade, Serbia |
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| Abstract: | Starting from the knowledge-based view of efficiency improvement, we propose a network-based approach to find the optimal stepwise benchmarking paths toward the efficiency frontier. The approach treats the Data Envelopment Analysis system as a network of teaching and learning firms and calculates the overall shortest paths taking into account both input endowment similarity and the efficiency gap covered in each step. In addition, based on network centrality concepts, the method discriminates between efficient and intermediate units, and highlights possible outliers or specialized units. As a real-world example, the method is applied to a network of Canadian bank branches and practical implications are discussed. |
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| Keywords: | Stepwise efficiency improvement Knowledge absorption capacity Shortest path Social Network Analysis Data Envelopment Analysis |
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