Preprint / Version 1

ESG Risk Canvas: a conceptual model for structuring the identification, analysis, and response to ESG risks

##article.authors##

  • Andreia Drozda Muncinelli Federal University of Technology of Paraná image/svg+xml https://orcid.org/0009-0003-8682-2995
    • Conceptualization
    • Investigation
    • Methodology
    • Data Curation
    • Formal Analysis
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Edson Pinheiro de Lima Federal University of Technology of Paraná image/svg+xml https://orcid.org/0000-0001-9331-1569
    • Conceptualization
    • Supervision
    • Writing – Review & Editing
  • Gianfranco Muncinelli Getúlio Vargas Foundation image/svg+xml https://orcid.org/0000-0002-6715-5635
    • Conceptualization
    • Methodology
    • Investigation
    • Data Curation
    • Formal Analysis
    • Validation
    • Visualization
    • Writing – Review & Editing

DOI:

https://doi.org/10.1590/1679-395120260015

Keywords:

ESG risk management, ESG materiality, corporate governance, CANVAS models

Abstract

The advancement of the Environmental, Social, and Governance (ESG) agenda has increased the complexity of organizational risk management, while the literature remains fragmented between materiality, risk analysis, governance, value chain, and disclosure practices, making it difficult to integrate and decision-oriented approaches. This study aims to propose the ESG Risk Canvas, a conceptual, systematic and visual model to structure the identification, analysis and response to ESG risks. The research adopts the approach of Design Science Research, based on a critical and integrative review of the literature, to structure and formalize the constructs of the model. The results show recurrent gaps associated with conceptual fragmentation, the disconnection between materiality and risk, and the absence of structures that integrate strategy, governance, and organizational response. As a result, the ESG Risk Canvas organizes ESG risk as an interdependent system by integrating business logic, strategic goals, stakeholders, materiality, interconnected risks, organizational responses, investments, and measurement and audit mechanisms into a single analytical framework. It is concluded that the model reduces conceptual ambiguities, favors organizational alignment and qualifies strategic decision-making by structuring the transition between diagnosis
and action in complex organizational contexts.

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Author Biographies

Andreia Drozda Muncinelli, Federal University of Technology of Paraná

Mestranda em Engenharia de Produção pela Universidade Tecnológica Federal do Paraná (UTFPR); Pós-graduada em Data Protection Officer e Pós-graduada em Compliance Officer, ambas pela Universidad San Jorge; Pós-Graduada em Direito Educacional, com formação em Magistério Superior pela Faculdade ITECNE; Graduada em Direito pela Universidade Tuiuti do Paraná; Sócia na Empresa Muncinelli Consultoria e Treinamento. 

Edson Pinheiro de Lima, Federal University of Technology of Paraná

Professor Titular de Engenharia de Produção e Sistemas na Universidade Tecnológica Federal do Paraná (UTFPR); Doutor em Engenharia de Produção pela Universidade Federal de Santa Catarina (UFSC); Mestre em Engenharia Elétrica (Automação) pela Universidade de Campinas (UNICAMP); Bacharel em Engenharia Elétrica pela Universidade Tecnológica Federal do Paraná (UTFPR). 

Gianfranco Muncinelli, Getúlio Vargas Foundation

Chief Sales Officer (CSO) da GRCIBER; Professor em cursos de MBA em programas da FGV Management; Engenheiro Eletricista pela Universidade Federal de Santa Catarina (UFSC); Pós-Doutor em Engenharia de Produção e Sistemas pela Universidade Tecnológica Federal do Paraná (UTFPR); Doutor em Engenharia de Produção e Sistemas Pontifícia Universidade Católica do Paraná (PUCPR); Mestre em Engenharia Elétrica pela Universidade Tecnológica Federal do Paraná (UTFPR); Data Protection Officer pela Universidad San Jorge; Compliance Officer pela Universidad San Jorge; Executive Program in Project Management pela The George Washington University. 

Submitted

07/13/2026

Posted

07/13/2026

How to Cite

ESG Risk Canvas: a conceptual model for structuring the identification, analysis, and response to ESG risks. (2026). In SciELO Preprints. https://doi.org/10.1590/1679-395120260015

Section

Applied Social Sciences

Plaudit

Data statement

  • The research data is contained in the manuscript