ENCERTIA: A dynamic R-shiny app to support business decision-making using data envelopment analysis

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Authors: María Carmen Bas, Rafael Benı́tez, Vicente J. Bolós
Cited by: 0
References: 9

Abstract

This study presents an interactive R-Shiny application that applies Data Envelopment Analysis (DEA) to measure and compare business efficiency. The platform incorporates directional models, orientation parameters, and alternative slack-handling strategies, enabling users to upload or filter data, compute inefficiency scores, and obtain customized targets and efficient projections. Through intuitive visualizations and dynamic benchmarking, companies can evaluate performance relative to peers of similar size or sector. The tool combines methodological advances with practical usability, offering a decision-support system that enhances strategic planning, resource optimization, and resilience. Illustrative examples demonstrate its capacity to guide companies toward improved efficiency in uncertain environments.

Fields of Study & Subjects

Efficiency Analysis Using DEA Multi-Criteria Decision Making Big Data and Business Intelligence

Publication details

Journal / source
SoftwareX
Volume
33
Pages
102525–102525
Publication date
27 January 2026
Language
EN