In the real world of practice, data-driven supply chains have gained huge popularity in recent years. This has led operations and supply management researchers to the focus on the role of advanced information and technology, including big data. Literature highlights that the use of big data can enhance business performance. Nonetheless, big data is analyzed by humans and a lack of virtue ethics could lead to disastrous consequences (erroneous decision-making can stem from bad data analysis resulting in not only huge business losses but also deterioration of relationships with suppliers and customers in the supply chain). To address the calls of previous researchers, this study utilizes the Ethical Theory of Organizing framework and Stakeholder theory to develop the theoretical model and further examine the relationships. The samples are drawn from the manufacturing industry. Hypothesis testing is executed through covariance-based structural equation modeling and finally, the conclusions are drawn. The findings of this work provide a more nuanced understanding of virtue ethics and big data implications, thereby answering the important questions of “why” and “how” data-driven green and lean practices increase the stakeholders' trust and enhance viable, sustainable, and digital supply chain performance. •Lack of virtue ethics among the person analyzing the data could also lead to a man-made disaster.•The ethical risks related to big data analysts must be considered and taken into account in digital SCs.•Ethical behavior of big data analytics personnel aids virtue ethics to enhance data-driven lean and green practices.•Data-driven lean and green practices increase stakeholders' trust and the firm's reputation.•Stakeholders' trust and the firm's reputation are essential for viable, sustainable and digital SC performance.