Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions

Supply chain decarbonisation has become a strategic requirement in the era of a net-zero economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the supply chain (SC), no prior study has evaluated it systematically. The present study aims to provide a systematic literature review on the applications and outcomes of big data analytics in SC decarbonisation. A total of 69 papers on applying BDA technology for supply chain decarbonisation published between 2016 and 2021 have been selected following the PRISMA protocol. The findings show that the topic is evolving. Studies employed methods such as surveys (30), case studies (11), and conceptual research designs (8). Thematic analysis reveals that 65% of the studies are grounded in resource-advantage theories, organisational theories, and system theories. Studies from India and China (35%) dominate the topic, while most studies have been conducted on the food and manufacturing industries. Further, this study applied the Antecedent-Decision-Outcomes (ADO) framework in BDA-based SC decarbonisation. Antecedents include BDA resources and capabilities, workforce skills, and supplier capabilities. Decisions refer to improving decision-making across the supply chain. Outcomes refer to improving decarbonisation, sustainable growth, and sustainable innovativeness. Future research directions and questions are provided using the Theory-Context-Methodology (TCM) framework.

Automated summary

Supply chain decarbonisation is a strategic requirement in the era of a net-zero economy, yet there is a lack of systematic evaluation of the application of big data analytics (BDA) in this area. This study conducted a systematic literature review and selected 69 papers published between 2016 and 2021 that focused on the application of BDA technology for supply chain decarbonisation. The findings reveal the evolving nature of this topic and the use of resource-advantage theories, organizational theories, and system theories in the studies.