Big Data Analytics and Supply Chain Performance: Evidence from Ghanaian Firms

Big data analytics (BDA) has become a transformative driver of competitiveness in supply chain management (SCM). It offers opportunities for efficiency, cost reduction, and enhanced customer satisfaction. Yet, adoption in developing economies remains limited due to infrastructural, financial, and skills-related challenges. This study examines the experiences, strategies, barriers, and outcomes of BDA adoption in Ghanaian supply chains. Using a survey of 205 managers and executives in the Greater Accra Region, the research employed descriptive statistics, chi-square tests, correspondence analysis, and logistic regression to analyze adoption patterns and predictors. Findings reveal that large firms are significantly more likely to adopt BDA, implement enterprise-wide strategies, and derive greater benefits compared to small and medium-sized enterprises (SMEs). Barriers include high investment costs, limited executive support, and concerns over data security. Professional capacity and operational experience emerged as significant predictors of future adoption. The study contributes to the literature by providing empirical evidence from Ghana, offering insights into the unique challenges of digital transformation in Sub-Saharan Africa. Policy recommendations emphasize investment in infrastructure, capacity building, and targeted support for SMEs to bridge the digital divide.