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Analysis of the Level of Adoption of Business Continuity Practices by Brazilian Industries: An Exploratory Study Using Fuzzy TOPSIS

Author

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  • Vitor Amado de Oliveira Bobel

    (School of Mechanical Engineering, State University of Campinas, Campinas 13083-872, Brazil)

  • Tiago F. A. C. Sigahi

    (School of Mechanical Engineering, State University of Campinas, Campinas 13083-872, Brazil)

  • Izabela Simon Rampasso

    (Departamento de Ingeniería Industrial, Universidad Católica del Norte, Antofagasta 1270755, Chile)

  • Gustavo Hermínio Salati Marcondes de Moraes

    (School of Applied Sciences, State University of Campinas, Limeira 13484-350, Brazil
    School of Management Sciences, North-West University, Vanderbijlpark 1174, South Africa)

  • Lucas Veiga Ávila

    (Center for Social Sciences and Humanities, Federal University of Santa Maria, Santa Maria 97105-900, Brazil)

  • Walter Leal Filho

    (Faculty of Life Sciences, Hamburg University of Applied Sciences, 20099 Hamburg, Germany
    School of Science and the Environment, Manchester Metropolitan University, Manchester M15 6BH, UK)

  • Rosley Anholon

    (School of Mechanical Engineering, State University of Campinas, Campinas 13083-872, Brazil)

Abstract

The COVID-19 outbreak caused several negative effects in industries of all sizes and in all parts of the world, leading academic and practitioners to ask whether organizations could have been better prepared to face disruptive situations. This paper aims to analyze business continuity practices performed by Brazilian industries. A survey was conducted with academics who work in the field of organizational resilience and business continuity and are familiar with the reality of Brazilian companies in the industrial sector. The participants assessed 16 practices (P) proposed by the ISO 22301:2020, considering two categories: large industries (LI) and small and medium-sized industries (SMI). Data analysis was performed using Hierarchical Cluster Analysis, frequency analysis, Fuzzy TOPSIS and sensitivity analysis. For LIs, P4 (leaders conduct periodic critical analyses of practices) was considered the practice with the best application rate, while for SMIs, P2 (understand stakeholders’ needs and expectations, and use information in business continuity management) was chosen. In all scenarios tested for LIs and SMIs, P8 (well-structured systematic processes to analyze the impact of abnormal situations on their business and the potential risks of a disruption) and P16 (periodic audits of their business continuity management activities to identify opportunities for improvement, and information record) are in the bottom quartile. When compared to LIs in the Brazilian context, SMIs exhibit more profound deficiencies in terms of applying business continuity practices. The findings of this study can be of great value to assist managers in improving organizational resilience. Organizations should be better prepared to face future disruptive events, whether biological, social, technological, or economic.

Suggested Citation

  • Vitor Amado de Oliveira Bobel & Tiago F. A. C. Sigahi & Izabela Simon Rampasso & Gustavo Hermínio Salati Marcondes de Moraes & Lucas Veiga Ávila & Walter Leal Filho & Rosley Anholon, 2022. "Analysis of the Level of Adoption of Business Continuity Practices by Brazilian Industries: An Exploratory Study Using Fuzzy TOPSIS," Mathematics, MDPI, vol. 10(21), pages 1-17, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4041-:d:958710
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    Cited by:

    1. Isabela Caroline de Sousa & Tiago F. A. C. Sigahi & Izabela Simon Rampasso & Jefferson de Souza Pinto & Lucas Gabriel Zanon & Walter Leal Filho & Rosley Anholon, 2024. "Analysis of the quality of sustainability reports published by Brazilian companies: An analytic hierarchy process‐grey clustering approach," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4298-4314, September.
    2. Giulia Giacomello Pompilio & Tiago F. A. C. Sigahi & Izabela Simon Rampasso & Gustavo Hermínio Salati Marcondes de Moraes & Lucas Veiga Ávila & Walter Leal Filho & Rosley Anholon, 2023. "Innovation in Brazilian Industries: Analysis of Management Practices Using Fuzzy TOPSIS," Mathematics, MDPI, vol. 11(6), pages 1-19, March.

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