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A Conceptual Framework for Data-Driven Procurement Risk Management in Multinational Enterprises
Open accessAbstract
Procurement risk in multinational enterprises (MNEs) presents a significant challenge due to complex global supply chains, regulatory diversity, and market volatility. Leveraging data-driven approaches for procurement risk management enhances visibility, predictive capability, and decision-making efficiency. This study proposes a conceptual framework integrating data analytics, risk assessment models, and strategic procurement processes to strengthen risk mitigation in MNEs. Through a comprehensive review of literature, case studies, and industry reports, key dimensions of procurement risk including supplier, operational, financial, and geopolitical factors are analyzed in conjunction with data-driven methodologies. The framework emphasizes real-time data integration, predictive analytics, and decision support systems, offering practical insights for procurement managers and organizational leaders. The findings contribute to the development of resilient, proactive, and adaptive procurement strategies in multinational contexts.
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“It requires balanced allocation across programs, administration, innovation, and outreach, recognizing that each contributes in different ways to organizational success (Anioke & Atima, 2023, Bello, Akomolafe & Agu, 2023, Ogunboye, et al., 2023).”
From Conceptual Model for Financial Sustainability and Strategic Resource Allocation in Nonprofit Organizations (2025) · cites this paper as Bello, Akomolafe & Agu, 2023
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Research works printed but not linked: 1
- Aisha Bello, Olawole Akomolafe, Michael Uzoma Agu (2023) A Conceptual Framework for Data-Driven Procurement Risk Management in Multinational Enterprises. Int j adv multidisc res stud 3(6):2307-2316.
Cited by
Aliliele, C., Eboh, E. E., & Odihi, F. (2025) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit251117154
Metadata
- Authors
- Bello, A., Akomolafe, O., & Uzoma Agu, M.
- Venue
- International Journal of Advanced Multidisciplinary Research and Studies
- Publisher
- OPRA Publications
- Published
- 2023-12-30
- Volume
- 3
- Issue
- 6
- Pages
- 2307-2316
- ISSN
- 2583-049X (ISSN-L)
- OpenAlex
- W4417453354
- Cited by
- 12
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 7
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- International Journal of Advanced Multidisciplinary Research and Studies (publishedVersion, other-oa)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- procurement risk management, multinational corporations, data-driven decision making, predictive analytics, supplier risk, geopolitical risk, supply chain resilience, risk assessment model, decision support system, real-time data integration, strategic purchasing
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- CoChat. (2026). Citation check: A Conceptual Framework for Data-Driven Procurement Risk Management in Multinational Enterprises. https://app.cochat.ai/papers/10.62225/2583049x.2023.3.6.5363
- The paper
- Bello, A., Akomolafe, O., & Uzoma Agu, M. (2023). A Conceptual Framework for Data-Driven Procurement Risk Management in Multinational Enterprises. International Journal of Advanced Multidisciplinary Research and Studies. https://doi.org/10.62225/2583049x.2023.3.6.5363
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
