Exploring the maturity of integrating digital and sustainable capabilities in manufacturing supply chains: an in-depth evaluation using grey influence analysis

Purpose The paper proposes the Digital and Sustainable Supply Chain Maturity Model (DSSCMM), a comprehensive framework for analysing and developing maturity levels in the supply chain. Design/methodology/approach The maturity model was developed using a multi-method approach, utilizing Grey Influence Analysis (GINA) to evaluate the overall maturity of three Indian manufacturing companies. Findings The application of DSSCMM among three case organizations reveals that organizations with higher maturity levels require stronger operational capabilities, better collaboration and advanced digital and sustainable technologies. Successful initiatives should align with organizational strategy, enhancing operational, technological, sustainability, governance and compliance aspects. Case Organization “A” stands first with a maturity score of 3.39. Case Organization “C” is on the preliminary level with a score of 2.26, and Case Organization “B” has primitive level of maturity, which stands at 1.91. Research limitations/implications The limitation of this study is that the model was tested and validated in only three case organizations within the Indian context. Further testing across diverse sectors and geographical regions is required to improve the generalisability. Practical implications The model aids organizations in self-evaluation, enabling the creation of tailored strategies across various dimensions, benefiting practitioners, supply chain managers and academic researchers. Originality/value This paper focuses on quantifying digital and sustainable supply chain maturity, offering a comprehensive model focusing on cost savings, value creation and revenue growth.