Logo

Anais

Resumo do trabalho

Estratégia em Organizações · Estratégia Competitiva

Página inicial Resumos em sequência

Título

THE NEXT FRONTIER: AI-DRIVEN PROCUREMENT IN AN ERA OF TRADE WARS AND CYBER THREATS

Baixar PDF Sessão completa

Palavras-chave

Artificial Intelligence Trade Wars Cyber-Security

Autores

  • Otacilio José Moreira
    UNIVERSIDADE FEDERAL FLUMINENSE (UFF)
  • Maria Carolina Rodrigues
    Universidade do Algarve
  • Américo da Costa Ramos Filho
    UNIVERSIDADE FEDERAL FLUMINENSE (UFF)
  • Martius Vicente Rodriguez Y Rodríguez
    UNIVERSIDADE FEDERAL FLUMINENSE (UFF)

Resumo

Introdução

In a scenario of trade wars and growing cyber threats, the research question is: How can AI-driven acquisition ensure resilience and strategic advantage in the face of trade wars and cyber threats? The primary objective is to understand the transformation of acquisition by AI as a strategic lever for value and resilience, while also addressing the challenges posed by volatile trade policies and cyber threats. Focuses on how AI navigates complex environments, delivers actionable insights, and tackles tariffs and cyber threats, optimizing costs and increasing organizational resilience

Problema de Pesquisa e Objetivo

By focusing on how AI can navigate complex environments, provide actionable insights, address tariffs, optimize costs, and increase organizational resilience against cyber threats, the study question is, how can AI-driven procurement ensure resilience and strategic advantage in trade wars and cyber threats? The primary objective is to understand how AI-driven procurement can serve as a strategic lever for value and resilience, while also addressing the challenges posed by volatile trade policies and cyber threats.

Fundamentação Teórica

AI transforms procurement, enhancing resilience and competitive advantage, but risks widening global inequalities (Khan, 2024). It enables real-time visibility and process optimization (Yeldan et al., 2024). AI-blockchain integration boosts security (Yekeen et al., 2024). While AI mitigates risks (Nwamekwe & Igbokwe, 2024), geopolitical tariffs demand adaptive strategies (Harrington, 2025). AI also poses a threat to trade secrets (Sprankling, 2024) and reshapes trade policies, necessitating regulatory harmonization (Huzaifa & Legacy, 2024)—highlighting ethical and infrastructural gaps.

Metodologia

Using qualitative and applied exploratory research (Creswell & Creswell, 2018; Gil, 2017), the study reviews the literature from 2020 to 2025 and surveys 150 procurement professionals (April 21–June 20, 2025). Results, analyzed through pie charts and frequency tables, highlight the practical role of AI in mitigating trade and cyber challenges. A case study approach validates findings and explores AI's contribution to cost optimization and resilience in global procurement.

Análise dos Resultados

Through figures and tables, it reveals that organizations are already adopting AI in procurement, prioritizing cost reduction, efficiency, and risk management, and generating suggestions for improvement. They face supply chain disruptions (20.7%) and have a high level of concern about cyber threats (37.4%). AI is valuable for monitoring tariffs (23.3%), finding alternative suppliers (18.7%), optimizing costs, and enhancing resilience. However, there are challenges, including data quality (25.6%), high costs, and regulatory uncertainty. There is a gradual and strategic growth.

Conclusão

AI transforms procurement into a strategic resilience pillar, crucial in mitigating the impact of trade wars and cyber threats. Key opportunities: spend automation, risk management, and market analysis. Challenges include regulatory uncertainty (Bill 2338/2023), high costs, data quality, and cybersecurity risks. Solutions require agility, human-AI collaboration, and public-private partnerships. This study maps the adoption of AI in procurement, its opportunities, and solutions using empirical data. Future research should explore sector-specific case studies on AI implementation.

Contribuição / Impacto

The study offers the academy a comprehensive and practical approach to AI in procurement, mapping its adoption and identifying opportunities and obstacles with empirical data. It deepens the understanding of the transformation of the procurement function into a strategic pillar, utilizing a mixed-methods methodology that provides rich insights into the integration of AI within the complex global landscape.

Referências Bibliográficas

The list of sources for verification and further reading purposes include - Yeldan, G., Yılmaz, G., & Kayatürk, G. (2024). AI-Driven Optimization of Order Procurement and Inventory Management in Supply Chains. The European Journal of Research and Development, 4(3), 46–56. https://doi.org/10.56038/ejrnd.v4i3.605. Obinna, A. J., & Kess-Momoh, A. J. (2024). Systematic technical analysis: Enhancing AI deployment in procurement for optimal transparency and accountability. Global Journal of Engineering and Technology Advances, 19(1), 192–206. https://doi.org/10.30574/gjeta.2024.19.1.0067

Navegação

Anterior Próximo