Business Intelligence in Supply Chain Management: Insights for Performance and Sustainability

ABSTRACT The increasing availability of digital technologies enables companies to manage large volumes of data and optimize their supply chains, with significant implications for both business performance and sustainability. While scholars have shown growing interest in the opportunities offered by Business Intelligence (BI) and Business Analytics (BA), the literature remains fragmented and limited in addressing their role in advancing social and environmental responsibility. This study conducts a Structured Literature Review (SLR) to analyse the application of BI and BA in supply chain management, with a particular focus on sustainability‐related opportunities and challenges. The collection is composed of 42 articles, published from 2014 to 2023, collected from the Scopus and Web of Science platforms. Findings indicate that BI is crucial for descriptive and predictive analyses, supporting managers in decision‐making and enhancing supply chain agility. Moreover, digital tools contribute to improved performance and accountability across different stages of the supply chain. However, sustainability is not yet a predominant factor in existing research, suggesting a critical gap. Future studies should therefore expand investigations into how BI and BA can support sustainable practices, especially in the public sector, small and medium‐sized enterprises, and sectors such as Food & Beverage. This work contributes to the ongoing debate on how digital technologies can be harnessed not only for efficiency but also for advancing social and environmental responsibility in supply chains, while also enriching the Resource‐Based View by showing how BI and BA can evolve into strategic capabilities that generate competitive and sustainable advantage.