Circular economy and big data analytics: A stakeholder perspective

Shivam Gupta, Haozhe Chen, Benjamin T. Hazen, Sarabjot Kaur and Ernesto D.R. Santibañez Gonzalez

Technological Forecasting and Social Change, 2019, vol. 144, issue C, 466-474

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.

Keywords: Circular economy; Big data; Stakeholder theory; Relational view; Supply chain management; Sustainability (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (94)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517314488
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:144:y:2019:i:c:p:466-474

DOI: 10.1016/j.techfore.2018.06.030

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().