Integrating big data into sustainable supply chain management: a pathway to enhanced firm performance in Ghana's food and beverage sector

Abstract

Purpose The study examines how big data analytics moderate the relationship between sustainable supply chain management practices, specifically sustainable design, procurement, and distribution, and impact firm performance in Ghana's food and beverage manufacturing sector. Design/methodology/approach Data were gathered from 295 manufacturing firms in the Greater Accra Region of Ghana using a census sampling method. The study employed SmartPLS-SEM to test hypotheses grounded in the resource-based view and natural resource-based view theories. Findings The results proved that all three sustainable supply chain management practices have a positive effect on firm performance. Additionally, big data analytics significantly moderates the nexus between sustainable procurement and distribution and firm performance, but not between sustainable design and firm performance. Originality/value This study advances the literature by disaggregating sustainable supply chain management practices into specific components and analysing their effects on performance in a developing-economy context. It also offers empirical insights into how big data analytics can moderate sustainability practices in manufacturing within developing countries.