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Big data-enabled large-scale group decision making for circular economy: An emerging market context

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  • Modgil, Sachin
  • Gupta, Shivam
  • Sivarajah, Uthayasankar
  • Bhushan, Bharat

Abstract

This study is focused on presenting a unique landscape for big data-enabled circular economy that involves stakeholders as important decision makers. This research is designed based on five case studies from emerging markets with a focus on circular models to propose a framework for large scale decision making. In these cases, different linear economy problems are addressed that further utilizes the integration of big data and large-scale group decision making by stakeholders to achieve circularity. The findings of our study indicate a four-step design (enabling technologies, business significance, deriving value, and circular goals) to implement the 10R's of the circular economy through emerging technologies such as big data and related mobile applications along with cloud-based platforms. The study highlights how cases from emerging markets can be useful for other firms and ecosystems, ranging from e-commerce to manufacturing, that employ large number of decision makers with the aim of creating a circular economy. At the end, the study presents theoretical and practical implications along with the scope for future research.

Suggested Citation

  • Modgil, Sachin & Gupta, Shivam & Sivarajah, Uthayasankar & Bhushan, Bharat, 2021. "Big data-enabled large-scale group decision making for circular economy: An emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000391
    DOI: 10.1016/j.techfore.2021.120607
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    Cited by:

    1. Gnekpe, Christian & Plantec, Quentin, 2023. "Regulatory push-pull and technological knowledge dynamics of circular economy innovation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
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    3. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    4. Stekelorum, Rebecca & Laguir, Issam & Lai, Kee-hung & Gupta, Shivam & Kumar, Ajay, 2021. "Responsible governance mechanisms and the role of suppliers’ ambidexterity and big data predictive analytics capabilities in circular economy practices improvements," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    5. Liang Dong & Zhaowen Liu & Yuli Bian, 2021. "Match Circular Economy and Urban Sustainability: Re-investigating Circular Economy Under Sustainable Development Goals (SDGs)," Circular Economy and Sustainability, Springer, vol. 1(1), pages 243-256, June.
    6. Chauhan, Chetna & Parida, Vinit & Dhir, Amandeep, 2022. "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    7. Ashkan Pakseresht & Sina Ahmadi Kaliji & Vilma Xhakollari, 2022. "How Blockchain Facilitates the Transition toward Circular Economy in the Food Chain?," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    8. Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
    9. Fabio De Felice & Antonella Petrillo, 2021. "Green Transition: The Frontier of the Digicircular Economy Evidenced from a Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-26, October.
    10. Chowdhury, Naimur Rahman & Paul, Sanjoy Kumar & Sarker, Tapan & Shi, Yangyan, 2023. "Implementing smart waste management system for a sustainable circular economy in the textile industry," International Journal of Production Economics, Elsevier, vol. 262(C).
    11. Rosangela de Fátima Pereira Marquesone & Tereza Cristina Melo de Brito Carvalho, 2022. "Examining the Nexus between the Vs of Big Data and the Sustainable Challenges in the Textile Industry," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    12. Taiga Saito & Shivam Gupta, 2022. "Big data applications with theoretical models and social media in financial management," CARF F-Series CARF-F-550, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    13. Rodríguez, Rosa M. & Labella, Álvaro & Nuñez-Cacho, Pedro & Molina-Moreno, Valentin & Martínez, Luis, 2022. "A comprehensive minimum cost consensus model for large scale group decision making for circular economy measurement," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Cheffi, Walid & Kaleem Zahir-ul-Hassan, Muhammad & Omer Farooq, Muhammad & Baqrain, Abdelrahman & Mohamed Habib Mansour, Mourad, 2023. "Ethical leadership, management control systems and circular economy in SMEs in an emerging economy, the UAE," Journal of Business Research, Elsevier, vol. 156(C).
    15. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).

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