3D ESG DIAGNOSTIC MATRIX: A FRAMEWORK PROPOSAL FOR ESG DIAGNOSIS IN VITICULTURE
Abstract
This article proposes an ESG diagnostic instrument for viticulture, structured around the ESG 3D Diagnostic Matrix and an analytical dashboard to support decision-making. The method consisted of designing a questionnaire with identification blocks, nine core modules linked to ESG pillars and value-chain stages, a cross-cutting evidence and maturity block, and a strategic perception block. Responses were recorded on a 0-10 scale and converted into scores for the 36 matrix cells. Results indicate 65 items with broad coverage grounded in ESG references, enabling a graphical representation focused on managerial prioritization. The study concludes that the ESG 3D Diagnostic Matrix, supported by transparent scoring criteria, is a promising tool for ESG diagnosis in grape producers.
Author Biographies
Ph.D. in Computer Science from the Federal University of Pernambuco (UFPE). Professor in the Graduate Program in Dynamics of Development of the Semiarid Region at the Federal University of the São Francisco Valley (UNIVASF) and researcher in the fields of Artificial Intelligence, Educational Technology, Learning Analytics, and Chatbots. Develops technological solutions aimed at addressing real-world challenges in the Brazilian Semiarid Region.
Agronomist graduated from the Federal University of ParaÃba (UFPB), with an MBA in ESG and a Master's degree in Dynamics of Development of the Semiarid Region from the Federal University of the São Francisco Valley (UNIVASF), completed in 2019.
Ph.D. in Computer Science from the Federal University of Pernambuco (UFPE). Professor in the Professional Doctoral Program in Agroecology and Territorial Development (PPGADT) at the Federal University of the São Francisco Valley (UNIVASF) and researcher in the fields of Artificial Intelligence, e-Learning, Educational Data Mining, Business Intelligence, and Information Technology applied to Public Management.
Computer Engineer graduated from the Federal University of Pernambuco (UFPE), with experience in systems development projects using PHP, Java, JavaScript, HTML, CSS, Python (Django), SQL, and Android technologies. Develops efficient, scalable solutions aligned with software engineering best practices.
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