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The Significance of Big Data Analytics in the Procurement Process and Supply Chain Management in the Nigerian Manufacturing Industry

Author

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  • Itiri Idam Okpara

    (Department of Business Education, Federal College of Education (Technical), Isu, Ebonyi, Nigeria)

  • Patrick Chigozie Moneme

    (Department of Business Administration, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria)

  • Ogbonnaya Abraham Onuaja

    (Department of Business Education, Federal College of Education (Technical), Isu, Ebonyi, Nigeria)

  • Kingsley Enujiofor Ikegbunam

    (Economic behavior and Governance, University of Kassel, Hesse, Germany)

Abstract

The adoption of BDA in Nigeria faces challenges due to the absence of affordable computing, mining, reliable data, and weak institutional frameworks in many organisations. It is important to examine the significance of BDA in the procurement process and SCM in the Nigerian manufacturing industry (NMI). The study employed multiple case study sampling method, linear curve estimation (LCE), Cronbach’s alpha, and exploratory factor analysis (EFA) for the analysis of the data. The results showed that BDA contributed significantly to the increase in the procurement process by 65.3% and the increase in SCM by 48.4% in NMI. Further estimations to examine interconnectivity among the complex structures in SCM revealed that efficient procurement processes, SC visibility, and SC flexibility of NMI had positive and significant influence on SC resilience. Strong reliability was shown by the majority of scale items, which had Cronbach’s alpha coefficient values greater than 0.7 but less than 0.90. The outcomes of factor analysis indicated that the pattern matrix displayed significant factor loading and a high connection between factors. The study concluded that BDA is significant in the procurement process and SCM in the Nigerian manufacturing industry. Therefore, agreeing with knowledge management and competitive advantage theories that companies process diverse data to ensure efficient operations and market differentiation to improve competitive edge, customer satisfaction, and brand loyalty in the industry. The study provides valuable insights for practical policy implications.

Suggested Citation

  • Itiri Idam Okpara & Patrick Chigozie Moneme & Ogbonnaya Abraham Onuaja & Kingsley Enujiofor Ikegbunam, 2024. "The Significance of Big Data Analytics in the Procurement Process and Supply Chain Management in the Nigerian Manufacturing Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 2850-2872, October.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:10:p:2850-2872
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    References listed on IDEAS

    as
    1. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    2. Richard Williams & Paul D. Allison & Enrique Moral-Benito, 2018. "Linear dynamic panel-data estimation using maximum likelihood and structural equation modeling," Stata Journal, StataCorp LLC, vol. 18(2), pages 293-326, June.
    3. Shabir Hussain Khahro & Aftab Hameed Memon & Nafees Ahmed Memon & Ali Arsal & Tauha Hussain Ali, 2021. "Modeling the Factors Enhancing the Implementation of Green Procurement in the Pakistani Construction Industry," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    4. repec:eme:ijlma0:17542431311327637 is not listed on IDEAS
    5. Mohamed Syazwan Ab Talib & Siti Salwa Md. Sawari & Abu Bakar Abdul Hamid & Thoo Ai Chin, 2016. "Emerging Halal food market: an Institutional Theory of Halal certificate implementation," Management Research Review, Emerald Group Publishing Limited, vol. 39(9), pages 987-997, September.
    6. Jasanta PERANGINANGIN, 2015. "A Conceptual Mapping Resource Advantage Theory, Competitive Advantage Theory, and Transient Competitive Advantage," Expert Journal of Business and Management, Sprint Investify, vol. 3(2), pages 140-149.
    7. Angappa Gunasekaran & Rameshwar Dubey & Surya Prakash Singh, 2016. "Flexible Sustainable Supply Chain Network Design: Current Trends, Opportunities and Future," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 109-112, June.
    8. Richard Engelbrecht-Wiggans & Elena Katok, 2006. "E-sourcing in Procurement: Theory and Behavior in Reverse Auctions with Noncompetitive Contracts," Management Science, INFORMS, vol. 52(4), pages 581-596, April.
    9. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
    10. Mobashar Mubarik & Raja Zuraidah binti Raja Mohd Rasi, 2019. "Triad of Big Data Supply Chain Analytics, Supply Chain Integration and Supply Chain Performance: Evidences from Oil and Gas Sector," Humanities and Social Sciences Letters, Conscientia Beam, vol. 7(4), pages 209-224.
    11. Abdalwali Lutfi & Adi Alsyouf & Mohammed Amin Almaiah & Mahmaod Alrawad & Ahmed Abdullah Khalil Abdo & Akif Lutfi Al-Khasawneh & Nahla Ibrahim & Mohamed Saad, 2022. "Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs," Sustainability, MDPI, vol. 14(3), pages 1-17, February.
    12. Hotlan Siagian & Zeplin Jiwa Husada Tarigan & Ferry Jie, 2021. "Supply Chain Integration Enables Resilience, Flexibility, and Innovation to Improve Business Performance in COVID-19 Era," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    13. Umer Zaman & Hasan Zahid & Muzafar Shah Habibullah & Badariah Haji Din, 2021. "Adoption of Big Data Analytics (BDA) Technologies in Disaster Management: A Decomposed Theory of Planned Behavior (DTPB) Approach," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1880253-188, January.
    14. Craig Furneaux & Jo Barraket, 2014. "Purchasing social good(s): a definition and typology of social procurement," Public Money & Management, Taylor & Francis Journals, vol. 34(4), pages 265-272, July.
    15. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    16. Santanu Mandal, 2017. "Supply chain resilience and internal integration: an empirical examination of different visibility categories," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 18(2), pages 216-235.
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