sustainability Article deaR-Shiny: An Interactive Web App for Data Envelopment Analysis Rafael Benítez 1 , Vicente Coll-Serrano 2,* and Vicente J. Bolós 1 1 Department of Business Mathematics, School of Economics, University of Valencia, 46010 València, Spain;
[email protected] (R.B.);
[email protected] (V.J.B.) 2 Department of Applied Economics, School of Economics, University of Valencia, 46010 València, Spain * Correspondence:
[email protected] Abstract: In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, who calculate the efficiency scores of university libraries in Taiwan by using a fuzzy DEA model because they treat missing data as fuzzy numbers. Keywords: data envelopment analysis; DEA; fuzzy DEA; R software; efficiency; deaR package; shiny; Malmquist index Citation: Benítez, R.; Coll-Serrano, V.; Bolós, V.J. deaR-Shiny: An Interactive Web App for Data Envelopment Analysis. Sustainability 2021, 13, 6774. 1. Introduction https://doi.org/10.3390/su13126774 Data Envelopment Analysis (DEA) is a widely used mathematical programming technique for evaluating the relative efficiency of a set of homogeneous DMUs (Decision Academic Editors: Clara Simon de Making Units) which consume the same inputs (in different quantities) to produce the Blas, Ana Garcia Sipols, same outputs (in different quantities).