CoChat
Sign Up
Cited by 8Big Data and Business IntelligenceImpact of AI and Big Data on Business and SocietyDigital Transformation in Industry

The DOI matches its Crossref record; 55 of the 58 references it cites were found in a registry or an index.

Global Trends in Procurement and Supply Chain Analytics with Implications for Manufacturing Innovation

Open access
Akin-Oluyomi, Olatunde Taiwo, Okoruwa, Precious Osobhalenewie, Babatope, Odunayo Mercy, Akokodaripon, David Adedayo·2025·International Journal of Multidisciplinary Research and Growth Evaluation
DOI 10.54660/.ijmrge.2025.6.5.964-974
Open this paper in CoChat — free accountOpen PDF

Abstract

The rapid digitalization of procurement and supply chain management has transformed how organizations coordinate, evaluate, and innovate within global manufacturing systems. The integration of analytics into procurement processes enables firms to enhance efficiency, transparency, and resilience, while simultaneously supporting the transition toward advanced manufacturing innovation. Recent global shifts including the proliferation of big data, artificial intelligence, blockchain, and Industry 4.0 technologies redefined how procurement is conducted, turning it into a strategic driver of value creation. This paper provides an in-depth literature-based review of global trends in procurement and supply chain analytics with a focus on their implications for manufacturing innovation. By synthesizing secondary research up to 2025, it explores the historical evolution, methodological developments, and emerging debates that define this rapidly changing field. The analysis underscores the growing significance of predictive and prescriptive analytics, the integration of sustainability considerations, the use of advanced digital platforms, and the move toward collaborative, data-sharing ecosystems. Particular attention is given to the implications for manufacturing innovation, including enhanced product design, agile production, risk resilience, and sustainable operations. The findings highlight the opportunities and challenges facing organizations as they adapt to a data-intensive procurement and supply chain landscape. This paper contributes to scholarly discourse and managerial practice by consolidating current knowledge, identifying critical gaps, and outlining directions for future research.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.54660/.ijmrge.2025.6.5.964-974

Cites

3 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

The publisher hasn’t deposited this paper’s reference list.

Research works printed but not linked: 33

  1. Basiru JO, Ejiofor CL, Onukwulu EC, Attah RU. Adopting Lean Management Principles in Procurement: A Conceptual Model for Improving Cost-Efficiency and Process Flow. Iconic Research and Engineering Journals. 2023;6(12):1503-22.
  2. Paul PO, Abbey ABN, Onukwulu EC, Agho MO, Eyo- Udo NL. Facilitating Efficient Procurement Processes for Health Grants: Case Studies from Various Diseases. International Journal of Multidisciplinary Research and Growth Evaluation. 2025;6.
  3. Akpe OE, Ogeawuchi JC, Abayomi AA, Agboola OA, Ogbuefi E. Systematic Review of Last-Mile Delivery Optimization and Procurement Efficiency in African Logistics Ecosystems. Iconic Research and Engineering Journals. 2021;5(6):377-88. Available from: https://www.irejournals.com/paper-details/1708521
  4. Etim ED, Essien IA, Ajayi JO, Erigha ED, Obuse E. AI- augmented intrusion detection: Advancements in real- time cyber threat recognition. IRE Journals. 2019;3(3):225-30.
  5. Okuboye A. Measuring the ROI of workforce optimization initiatives in business process redesign projects. International Journal of Advanced Multidisciplinary Research and Studies. 2024;4(5):1203-10.
  6. Ogunwole O, Onukwulu EC, Joel MO. Optimizing Supply Chain Operations Through Internet of Things (IoT) Driven Innovations. Iconic Research and Engineering Journals. 2024;7(8):471-80.
  7. Omisola JO, Etukudoh EA, Onukwulu EC, Osho GO. Sustainability and Efficiency in Global Supply Chain Operations Using Data-Driven Strategies and Advanced Business Analytics. World Scientific News: An International Scientific Journal. 2025;204:232-53.
  8. Dogho MO. Advanced Analytical Techniques for Microbial Detection in Poultry Processing: Enhancing Food Safety Compliance in the US. Current Journal of Applied Science and Technology. 2025;44(4):225-33.
  9. Omisola JO, Etukudoh EA, Onukwulu EC, Osho GO. Sustainability and Efficiency in Global Supply Chain Operations Using Data-Driven Strategies and Advanced Business Analytics. World Scientific News: An International Scientific Journal. 2025;204:232-53.
  10. Osamika D, Adelusi BS, Kelvin-Agwu MTC, Mustapha AY, Forkuo AY. A Review of Data Visualization Tools and Techniques in Public Health: Enhancing Decision- Making through Analytics. 2025.
  11. Adelusi BS, Uzoka AC, Hassan YG, Ojika FU. Synthetic Data Generation for Workforce Analytics: A Review of GANs and Differential Privacy Techniques in Human Capital Forecasting. 2023.
  12. Abayomi AA, Ubanadu BC, Daraojimba AI, Agboola OA, Owoade S. A Conceptual Framework for Real-Time Data Analytics and Decision-Making in Cloud- Optimized Business Intelligence Systems. Iconic Research and Engineering Journals. 2022;5(9):713-22. Available from: https://www.irejournals.com/paper- details/1708317
  13. Ogunwole O, Onukwulu EC, Joel MO, Ibeh AI. Data- Driven Decision-Making in Corporate Finance: A Review of Predictive Analytics in Profitability and Risk Management. Iconic Research and Engineering Journals. 2024;7(11).
  14. Onifade AY, Ogeawuchi JC, Abayomi AA. Scaling AI- Driven Sales Analytics for Predicting Consumer Behavior and Enhancing Data-Driven Business Decisions. International Journal of Advanced Multidisciplinary Research and Studies. 2025;4(6):2181-201. Available from: https://www.multiresearchjournal.com/arlist/list/2024/6 /id-4269
  15. Ogbuefi E, Mgbame AC, Akpe OE, Abayomi AA, Adeyelu OO. Data Democratization: Making Advanced Analytics Accessible for Micro and Small Enterprises. International Journal of Advanced Multidisciplinary Research and Studies. 2024;4.
  16. Onukwulu EC, Dienagha IN, Digitemie WN, Egbumokei PI. Predictive Analytics for Mitigating Supply Chain Disruptions in Energy Operations. Iconic Research and Engineering Journals. 2021;5(3):256-82.
  17. Odeshina A, Reis O, Okpeke F, Attipoe V, Orieno O. Leveraging Big Data Analytics for Market Forecasting and Investment Strategy in Digital Finance. International Journal of Social Science Exceptional Research. 2024;3:325-33. Available from: https://www.researchgate.net/publication/391835563
  18. Alonge EO, Eyo-Udo NL, Ubamadu BC, Daraojimba AI, Balogun ED. Real-time data analytics for enhancing supply chain efficiency. Journal of Supply Chain Management and Analytics. 2023;10(1):49-60.
  19. Oluoha OM, Odeshina A, Reis O, Okpeke F, Attipoe V, Orieno OH. Optimizing Business Decision-Making with Advanced Data Analytics Techniques. Iconic Research and Engineering Journals. 2022;6(5):184-203. Available from: https://www.irejournals.com/paper- details/1703887
  20. Oluoha OM, Odeshina A, Reis O, Okpeke F, Attipoe V, Orieno OH. Leveraging Big Data Analytics for Risk Assessment and Regulatory Compliance Optimization in Business Operations. International Journal of Academic Management Science Research. 2025;9(4):80-108. Available from: http://ijeais.org/wp- content/uploads/2025/4/IJAMSR250405.pdf
  21. Selvarajan GP. Leveraging AI-Enhanced Analytics for Industry-Specific Optimization: A Strategic Approach to Transforming Data-Driven Decision-Making. 2021. Available from: https://www.researchgate.net/publication/385627137
  22. Ibeh. Business analytics and decision science: A... - Google Scholar. Accessed: May 11, 2025. Available from: https://scholar.google.com/scholar?cluster=1630883153 6400920068&hl=en&oi=scholarr
  23. Esan UOJ, Uzozie OT, Onaghinor O, Osho GO, Omisola JO. Policy and operational synergies: Strategic supply chain optimization for national economic growth. International Journal of Social Science Exceptional Research. 2022.
  24. Adelusi BS, Ojika FU, Uzoka AC. Advances in Data Lineage, Auditing, and Governance in Distributed Cloud Data Ecosystems. Shodhshauryam, International Scientific Refereed Research Journal. 2022;5(4):245- 73.
  25. Ogbuefi E, Mgbame AC, Akpe OE, Abayomi AA, Adeyelu OO. Affordable Automation: Leveraging Cloud-Based BI Systems for SME Sustainability. Iconic Research and Engineering Journals. 2022;5(12):489- 505. Available from: https://www.irejournals.com/paper-details/1708219
  26. Adekunle SA, Usman TO, Okere OO, Kokogho E, Isaiah CM. Modelling the Adoption of Big Data Analytics Among Accounting Practitioners in Nigeria. Nigerian Journal of Management Studies. 2025;27(1):134-49.
  27. Kolawole TO, Mustapha AY, Mbata AO, Olamide B, Tomoh AYF. A Systematic Review of Predictive Analytics Applications in Early Disease Detection and Diagnosis. 2025.
  28. Mgbame CA, Akpe OE, Abayomi AA, Ogbuefi E, Adeyelu OO. Building Data-Driven Resilience in Healthcare: A Framework for Operational Intelligence. Healthcare Analytics. 2024;5(9 SP 45-72). Available from: https://doi.org/10.1016/j.health.2024.100123 · DOI
  29. Obuse E, Ayanbode N, Cadet E, Etim ED, Essien IA. Edge AI solutions for real-time IoT device threat monitoring. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2024;10(3):996-1030. doi: 10.32628/CSEIT25113576. 100. Okuboye A. From efficiency to resilience: Reframing workforce optimization goals in global supply chain BPM post-crisis. Journal of Frontiers in Multidisciplinary Research. 2023;4(1):514-22. doi: 10.54660/JFMR.2023.4.1.514-522. 101. Omowole BM, Omokhoa HE, Ogundeji IA, Achumie GO. Redesigning Financial Services with Emerging Technologies for Improved Access and Efficiency. International Journal of Management and Organizational Research. 2023;2(01):128-41. 102. Elumilade OO, Ogundeji IA, Ozoemenam G, Omokhoa HE, Omowole BM. Leveraging financial data analytics for business growth, fraud prevention, and risk mitigation in markets. Gulf Journal of Advanced Business Research. 2025;3(3). 103. Famoti O, Shittu RA, Omowole BM, Nzeako G, Ezechi ON, Ewim CPM. Advances in agile methodologies for project management to boost efficiency in energy sector operations. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2025. 104. Kokogho E, Onwuzulike OC, Omowole BM, Ewim CPM, Adeyanju MO. Blockchain technology and real- time auditing: Transforming financial transparency and fraud detection in the Fintech industry. Gulf Journal of Advanced Business Research. 2025;3(2):348-79. 105. Ayumu MT, Ohakawa TC. Financial Modeling Innovations for Affordable Housing Development in the US. International Journal of Advanced Multidisciplinary Research and Studies. 2024;4. 106. Sharma A, Adekunle BI, Ogeawuchi JC, Abayomi AA, Onifade O. Governance Challenges in Cross-Border Fintech Operations: Policy, Compliance, and Cyber Risk Management in the Digital Age. Iconic Research and Engineering Journals. 2025;4(9):278-86. Available from: https://www.irejournals.com/paper- details/1708642 107. · DOI
  30. Ashiedu BI, Ogbuefi E, Nwabekee US, Ogeawuchi JC, Abayomi AA. Automating Risk Assessment and Loan Cleansing in Retail Lending: A Conceptual Fintech Framework. Iconic Research and Engineering Journals. 2022;5(9):728-44. Available from: https://www.irejournals.com/paper-details/1708535 110.
  31. Ashiedu BI, Ogbuefi E, Nwabekee S, Ogeawuchi JC, Abayomi AA. Leveraging Real-Time Dashboards for Strategic KPI Tracking in Multinational Finance Operations. Iconic Research and Engineering Journals. 2021;4(8):189-205. Available from: https://www.irejournals.com/paper-details/1708537 111.
  32. Fredson G, Adebisi B, Ayorinde OB, Onukwulu EC, Adediwin O. Strategic Risk Management in High-Value Contracting for the Energy Sector: Industry Best Practices and Approaches for Long-Term Success. International Journal of Management and Organizational Research. 2023;2(1):16-30. 112. Adebisi B, Aigbedion E, Ayorinde OB, Onukwulu EC. A Conceptual Model for Implementing Lean Maintenance Strategies to Optimize Operational Efficiency and Reduce Costs in Oil & Gas Industries. International Journal of Management and Organizational Research. 2022;1(1):50-57. 113. Abayomi AA, Uzoka AC, Ogeawuchi JC, Agboola OA, Gbenle TP, Owoade S. A Conceptual Framework for Enhancing Data Ingestion and ELT Pipelines for Seamless Digital Transformation in Cloud Environments. International Journal of Advanced Multidisciplinary Research and Studies. 2025;4(6):2140-7. Available from: https://www.multiresearchjournal.com/arlist/list/2024/6 /id-4265 114.
  33. Egbumokei PI, Dienagha IN, Digitemie WN, Onukwulu EC, Oladipo OT. Automation and Worker Safety: Balancing Risks and Benefits in Oil, Gas and Renewable Energy Industries. International Journal of Multidisciplinary Research and Growth Evaluation. 2024;5. 119. Onukwulu EC, Fiemotongha JE, Igwe AN, Ewin CPM. Strategic Contract Negotiation in the Oil and Gas Sector: Approaches to Securing High-Value Deals and Long- Term Partnerships. Journal of Advanced Multidisciplinary Research. 2024;3(2):44-61. 120. Basiru JO, Ejiofor CL, Onukwulu EC, Attah RU. The Impact of Contract Negotiations on Supplier Relationships: A Review of Key Theories and Frameworks for Organizational Efficiency. International Journal of Multidisciplinary Research and Growth Evaluation. 2023;4. 121. Eyo-Udo NL, Agho MO, Onukwulu EC, Sule AK, Azubuike C. Advances in Circular Economy Models for Sustainable Energy Supply Chains. Gulf Journal of Advanced Business Research. 2024;2(6):300-337. 122. Idu JOO, Abioye RF, Ihwughwavhe SI, Enow OF, Okereke M, Filani OM. Balancing Fossil Fuels and Renewables: Pathways for a Just and Sustainable Energy Transition in Africa. International Journal of Multidisciplinary Research and Growth Evaluation. 2025. 123. Ike PN, Ogbuefi E, Aifuwa SE, Olatunde-Thorpe J, Blessing S. Supply Chain Talent Development Programs Building Leadership, Skills, and Innovation within Logistics and Operations. 2025. 124. Ike PN, Okojie JS, Nnabueze SB, Idu JOO, Filani OM, Ihwughwavhe SI. Digital Twin-Driven Environmental Compliance Models for Sustainable Procurement in Oil, Gas, and Utilities. International Journal of Advanced Multidisciplinary Research and Studies. 2025.

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Akin-Oluyomi, O. T., Okoruwa, P. O., Babatope, O. M., & Akokodaripon, D. A.
Affiliations
Manufacturing Advocacy & Growth Network (United States) (US)
Venue
International Journal of Multidisciplinary Research and Growth Evaluation
Publisher
Anfo Publication House
Published
2025
Volume
6
Issue
5
Pages
964-974
ISSN
2582-7138 (ISSN-L)
DOI
10.54660/.ijmrge.2025.6.5.964-974
OpenAlex
W4417180026
Cited by
6
References
0
Citations by year
2026: 1 · 2025: 5
FWCI
8.14
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
International Journal of Multidisciplinary Research and Growth Evaluation (publishedVersion, cc-by-nc-sa)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
procurement analytics, supply chain analytics, manufacturing innovation, digitalization of procurement, predictive analytics, prescriptive analytics, sustainable procurement, Industry 4.0, blockchain, artificial intelligence, big data, supply chain resilience, agile manufacturing, sustainable operations, product design

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review