QUANTITATIVE BUSINESS MODEL AND SUPPLY CHAIN MANAGEMENT: EVIDENCE FROM A MULTINATIONAL ORGANIZATION IN NIGERIA

Abstract

This study examines the application of quantitative business models (QBMs) in supply chain management, focusing on Nigeria's manufacturing industry. Grounded in Systems theory, the study uses a descriptive research design and questionnaire from 83 supply chain employees at Dangote Plc.'s Calabar depot. Hypotheses were tested with Generalized Linear Models Probit Regression. Results indicate that demand forecasting accuracy positively influences inventory management (β=.234; p>.05) and production planning enhances supply chain agility (β=.309; p>.05), though these associations were not statistically significant. The study concludes that while QBMs have a positive impact on supply chain performance, their influence is not significant. Recommendations include improving demand forecasting accuracy and production planning processes to enhance supply chain agility. This study provides empirical evidence supporting the relevance of QBMs in optimizing supply chain management in Nigeria's manufacturing sector.