IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v9y2025i1p8-d1563651.html
   My bibliography  Save this article

Critical Analysis of Technologies Enhancing Supply Chain Collaboration in the Food Industry: A Nigerian Survey

Author

Listed:
  • Ebenezer Akinbamini

    (School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

  • Alix Vargas

    (School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

  • Angela Traill

    (School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK)

  • Andrés Boza

    (Research Center on Production Management and Engineering, Universitat Politècnica de València, 46022 Valencia, Spain)

  • Llanos Cuenca

    (Research Center on Production Management and Engineering, Universitat Politècnica de València, 46022 Valencia, Spain)

Abstract

Background : Supply chain collaboration technologies (SCCTs) are digital tools designed to enhance communication, coordination, and integration among supply chain stakeholders. These tools are essential for enhancing transparency, efficiency, and traceability within complex supply chain networks, particularly in the food industry. Methods : This study focuses on the statistical analysis of survey data to evaluate the adoption and impact of SCCTs, including blockchain, Internet of Things (IoT), enterprise resource planning (ERP), and artificial intelligence (AI), in Nigeria’s food industry. Results : The results reveal critical insights into the adoption barriers, perceived benefits, and gaps in implementation. Descriptive and inferential statistical techniques highlight significant variations in technology across different sectors, uncovering key factors influencing the integration of SCCTs. The findings demonstrate that while the technologies hold substantial potential to optimize supply chain performance, their acceptance is constrained by infrastructural deficiencies, regulatory challenges, under-developed trust-building mechanisms, and limited technical expertise. Conclusions : This paper underscores the importance of targeted interventions, policy support, and resource allocation to foster the effective utilization of SCCTs. The study provides data-driven recommendations for improving technology uptake, contributing to the sustainability and competitiveness of Nigeria’s food supply chain.

Suggested Citation

  • Ebenezer Akinbamini & Alix Vargas & Angela Traill & Andrés Boza & Llanos Cuenca, 2025. "Critical Analysis of Technologies Enhancing Supply Chain Collaboration in the Food Industry: A Nigerian Survey," Logistics, MDPI, vol. 9(1), pages 1-35, January.
  • Handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:8-:d:1563651
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/9/1/8/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/9/1/8/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    2. Oluleye Ogunmola & Kayode Arogundade, 2018. "Effects of Supply Chain Design and Collaboration on Customers’ Satisfaction of Instant Noodles in Ekiti State, Nigeria," Post-Print hal-04571677, HAL.
    3. Surbhi Bhatia & Abdulaziz Saad Albarrak, 2023. "A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    4. Alix Vargas & Carmen Fuster & David Corne, 2020. "Towards Sustainable Collaborative Logistics Using Specialist Planning Algorithms and a Gain-Sharing Business Model: A UK Case Study," Sustainability, MDPI, vol. 12(16), pages 1-29, August.
    5. Nebojša Zorić & Radenko Marić & Tijana Đurković-Marić & Goran Vukmirović, 2023. "The Importance of Digitalization for the Sustainability of the Food Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    6. Sukwoong Choi & William S. Moses & Neil Thompson, 2023. "The Quantum Tortoise and the Classical Hare: A simple framework for understanding which problems quantum computing will accelerate (and which it will not)," Papers 2310.15505, arXiv.org.
    7. S. Kumari & V.G. Venkatesh & F.T.C. Tan & S.V. Bharathi & M. Ramasubramanian & Y. Shi, 2023. "Application of Machine Learning and Artificial Intelligence on Agriculture Supply Chain: A Comprehensive Review and Future Research Directions," Post-Print hal-04433057, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonel Jorge Ribeiro Nunes & Radu Godina & João Carlos de Oliveira Matias, 2019. "Technological Innovation in Biomass Energy for the Sustainable Growth of Textile Industry," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    2. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    3. Bent Flyvbjerg & Alexander Budzier & Jong Seok Lee & Mark Keil & Daniel Lunn & Dirk W. Bester, 2022. "The Empirical Reality of IT Project Cost Overruns: Discovering A Power-Law Distribution," Papers 2210.01573, arXiv.org.
    4. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    5. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    7. Madhukar Patil & M. Suresh, 2019. "Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 157-175, June.
    8. Abdel Ghafar, Ahmed Ismail & Vazquez Castro, Ágeles & Essam Khedr, Mohamed, 2019. "Multidimensional Self-Organizing Chord-Based Networking for Internet of Things," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth 201736, International Telecommunications Society (ITS).
    9. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    10. Artur Pollak & Agata Hilarowicz & Maciej Walczak & Damian Gąsiorek, 2020. "A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    11. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    12. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    13. Zhitao Xu & Adel Elomri & Roberto Baldacci & Laoucine Kerbache & Zhenyong Wu, 2024. "Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective," Annals of Operations Research, Springer, vol. 338(2), pages 1359-1401, July.
    14. Zahra, Shaker A. & Liu, Wan & Si, Steven, 2023. "How digital technology promotes entrepreneurship in ecosystems," Technovation, Elsevier, vol. 119(C).
    15. Zhang, Yimeng & Ma, Xinyu & Pang, Jianing & Xing, Hailong & Wang, Jian, 2023. "The impact of digital transformation of manufacturing on corporate performance — The mediating effect of business model innovation and the moderating effect of innovation capability," Research in International Business and Finance, Elsevier, vol. 64(C).
    16. Jelena Končar & Aleksandar Grubor & Radenko Marić & Sonja Vučenović & Goran Vukmirović, 2020. "Setbacks to IoT Implementation in the Function of FMCG Supply Chain Sustainability during COVID-19 Pandemic," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    17. Sandeep Jagtap & George Skouteris & Vilendra Choudhari & Shahin Rahimifard & Linh Nguyen Khanh Duong, 2021. "An Internet of Things Approach for Water Efficiency: A Case Study of the Beverage Factory," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    18. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    19. In Lee, 2020. "Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management," Future Internet, MDPI, vol. 12(9), pages 1-21, September.
    20. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:8-:d:1563651. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.