Abstract

The business concept of the circular economy (CE) has gained significant momentum among practitioners and researchers alike. However, successful adoption and implementation of this paradigm of managing business remains a challenge. In this article, we build a case for utilizing big data analytics (BDA) as a fundamental basis for informed and data driven decision making in supply chain networks supporting CE. We view this from a stakeholder perspective and argue that a collaborative association among all supply chain members can positively affect CE implementation. We propose a model highlighting the facilitating role of big data analytics for achieving shared sustainability goals. The model is based on integrating thematic categories coming out of 10 semi-structured interviews with key position holders in industry. We argue that mutual support and coordination driven by a stakeholder perspective coupled with holistic information processing and sharing along the entire supply chain network can effectively create a basis for achieving the triple bottom line of economic, ecological and social benefits. The proposed model is useful for managers in that it provides a reference point for aligning activities with the circular economy paradigm. The conceptual model provides a theoretical basis for future empirical research in this domain.