TY - JOUR
T1 - Critical Analysis of Technologies Enhancing Supply Chain Collaboration in the Food Industry: A Nigerian Survey
AU - Akinbamini, Ebenezer
AU - Vargas, Alix
AU - Traill, Angela
AU - Boza, Andrés
AU - Cuenca, Llanos
A2 - Handfield, Robert
N1 - © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
PY - 2025/1/9
Y1 - 2025/1/9
N2 - 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.
AB - 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.
KW - IoT (Internet of Things)
KW - food industry
KW - collaboration
KW - ERP (enterprise resource planning)
KW - cloud-based systems
KW - logistics
KW - AI (artificial intelligence)
KW - technology
KW - supply chain
KW - blockchain
U2 - 10.3390/logistics9010008
DO - 10.3390/logistics9010008
M3 - Review article
SN - 2305-6290
VL - 9
SP - 1
EP - 35
JO - Logistics
JF - Logistics
IS - 1
M1 - 9010008
ER -