Validation of challenges in the insertion of ISO/IEC 42001 artificial intelligence system in logistics management

Ana Carolina Spinelli; Bruna Fonseca; Reimison Moreira Fernandes; Jonhatan Magno Norte da Silva; Lucas Veiga Avila; Karan Valente; Vitor William Batista Martins

doi:10.14488/BJOPM.2591.2026

Authors

Ana Carolina Spinelli State University of Pará (UEPA), Belém, PA, Brazil.
Bruna Fonseca State University of Pará (UEPA), Belém, PA, Brazil.
Reimison Moreira Fernandes State University of Pará (UEPA), Belém, PA, Brazil. https://orcid.org/0000-0001-7526-0438
Jonhatan Magno Norte da Silva Federal University of Alagoas (UFAL), Maceió, AL, Brazil. https://orcid.org/0000-0003-4084-9511
Lucas Veiga Avila Federal University of Santa Maria (UFSM), Santa Maria, RS, Brazil. https://orcid.org/0000-0003-1502-258X
Karan Valente State University of Pará (UEPA), Belém, PA, Brazil. https://orcid.org/0000-0002-3818-1375
Vitor William Batista Martins State University of Pará (UEPA), Belém, PA, Brazil. https://orcid.org/0000-0003-4891-8630

DOI:

https://doi.org/10.14488/BJOPM.2591.2026

Keywords:

ISO/IEC 27001, Artificial Intelligence, Logistics Management, Organizational Challenges, Data Security

Abstract

Purpose: The main objective of the study was to conduct exploratory research to systematically analyze and statistically validate the challenges to the adoption of the ISO/IEC 42001 artificial intelligence system in the Brazilian logistics sector, based on the contribution of industry professionals.

Design/methodology/approach: The research strategy adopted was a literature review and a survey of professionals working in the Brazilian logistics sector. The data collected was processed using the Lawshe method to validate the challenges analyzed.

Findings: The results point to the need for specialized training, integration of management systems, organizational resistance and technological limitations as valid challenges, as well as critical issues such as data security and the lack of specific regulations.

Limitations of the investigation: Despite meeting its objective, this exploratory study is limited to Brazil’s logistics sector and cannot be generalized to other contexts, reflecting only the analyzed reality of an emerging economy.

Practical implications: The results of this research can guide management strategies and strengthen Brazil's developing economy. The validated challenges offer clear direction for strategic planning, investment, team training, and action prioritization, accelerating the logistics sector's transition to Industry 4.0 with AI and ISO/IEC 42001 certification.

Originality/Value: Although there are numerous discussions about the adoption of artificial intelligence, debates about its impact in the organizational context, especially in relation to ISO/IEC 42001, are still scarce, especially in emerging countries such as Brazil, so the originality of the study lies in filling this gap in the literature, by validating challenges in the logistics sector considering the opinion of professionals who work in this area.

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