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Juan Aparicio, & José L. Zofío (2023). Decomposing profit change: Konüs, Bennet and Luenberger indicators. Socio-Economic Planning Sciences, 87, 101573.

Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; valgrAI – Valencian Graduate School and Research Network of Artificial Intelligence) and José L. Zofío (Department of Economics, Universidad Autónoma de Madrid; Erasmus Research Institute of Management, Erasmus University)
Abstract:
We introduce complementary decompositions of profit change that, relying on the duality between the profit function […]

Juan Aparicio, Magdalena Kapelko, & Lidia Ortiz (2023). Enhancing the measurement of firm inefficiency accounting for corporate social responsibility: A dynamic data envelopment analysis fuzzy approach. European Journal of Operational Research, 306, 986-997.

Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche), Magdalena Kapelko (Department of Logistics, Wrocław University of Economics and Business, ul. Komandorska) and Lidia Ortiz (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
This paper contributes to research on the corporate social responsibility (CSR) field and the inefficiency measurement of firms by proposing […]

Maria D. Guillen, Juan Aparicio, & Miriam Esteve (2023). Gradient tree boosting and the estimation of production frontiers. Expert Systems with Applications, 214, 119134.

María D. Guillén (Center of Operations Research. Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research. Miguel Hernandez University of Elche) and Miriam Esteve (Center of Operations Research. Miguel Hernandez University of Elche)
Abstract:
In production theory and engineering, a topic of interest is the determination of technical efficiency of firms from the estimation of […]

Juan Aparicio, José L. Zofío, & Jesús T. Pastor (2023). Decomposing Economic Efficiency into Technical and Allocative Components: An Essential Property. Journal of Optimization Theory and Applications, 197, 98-129.

Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; valgrAI – Valencian Graduate School and Research Network of Artificial Intelligence), José L. Zofío (Department of Economics, Universidad Autónoma de Madrid; Erasmus Research Institute of Management, Erasmus University) and Jesús T. Pastor (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
We introduce two desirable […]

Maria D. Guillen, Juan Aparicio, & Miriam Esteve (2023). Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms. International Journal of Information Technology & Decision Making, 1-30.

María D. Guillén (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI) and Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
This paper aims to show how to calculate different efficiency measures […]

Miriam Esteve, Juan Aparicio, Jesus J. Rodriguez-Sala, & Joe Zhu (2023). Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. European Journal of Operational Research, 304, 729-744.

Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche), Jesús J. Rodríguez-Sala (Center of Operations Research, Miguel Hernandez University of Elche) and Joe Zhu (Foisie Business School, Worcester Polytechnic Institute, United States)
Abstract:
In the technical efficiency evaluation area, it may happen that many […]

Juan Aparicio, & Miriam Esteve (2023). How to peel a data envelopment analysis frontier: A cross-validation-based approach. Journal of the Operational Research Society, 74, 2558-2572.

Juan Aparicio (Miguel Hernández University of Elche; Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI), and Miriam Esteve (Miguel Hernández University of Elche)
Abstract:
Data Envelopment Analysis (DEA) presents the typical characteristics of a data-driven approach with the specific objective of determining technical efficiency and production frontiers in Engineering and Microeconomics. However, by construction, the […]