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Industry readiness measurement for circular supply chain implementation: an Irish dairy industry perspective

Author

Listed:
  • Conor McDaid

    (Atlantic Technological University)

  • Amir Hossein Azadnia

    (Maynooth University)

  • George Onofrei

    (Atlantic Technological University)

  • Erfan Babaee Tirkolaee

    (Istinye University
    Yuan Ze University)

Abstract

The implementation of a circular supply chain (CSC) has potential to help the Irish dairy industry mitigate their negative environmental impacts. However, the industry does not have a clear understanding on their level of readiness to implement CSC in factors that ensure success. While there have been few studies that have identified barriers and critical success factors of CSC implementation, limited attention has been given to developing a comprehensive framework capable of measuring an industry’s readiness for CSC implementation, especially in the dairy industry. This study provides novelty in the development and application of a novel hybrid approach based on best–worst method and fuzzy inference system (BWM–FIS) to evaluate readiness for CSC implementation in the Irish dairy industry. By identifying a comprehensive set of readiness measures and sub-measures and integrating them into the assessment framework, we provide a valuable tool for industry stakeholders to gauge their readiness level and make informed decisions regarding CSC implementation. The applicability of the proposed approach is then demonstrated with an empirical study of the Irish dairy industry. The data was collected from 34 supply chain and senior professionals from all 13 main processing and manufacturing companies in the Irish dairy industry. The empirical results for the Irish dairy industry suggests it has a moderate level of readiness on the CSC readiness scale. This indicates that dairy manufacturers in Ireland are not yet in an ideal state of readiness for CSC implementation.

Suggested Citation

  • Conor McDaid & Amir Hossein Azadnia & George Onofrei & Erfan Babaee Tirkolaee, 2024. "Industry readiness measurement for circular supply chain implementation: an Irish dairy industry perspective," Annals of Operations Research, Springer, vol. 342(1), pages 477-522, November.
  • Handle: RePEc:spr:annopr:v:342:y:2024:i:1:d:10.1007_s10479-023-05602-0
    DOI: 10.1007/s10479-023-05602-0
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    References listed on IDEAS

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    1. Manjot Singh Bhatia & Rajiv Kumar Srivastava, 2019. "Antecedents of implementation success in closed-loop supply chain: an empirical investigation," International Journal of Production Research, Taylor & Francis Journals, vol. 57(23), pages 7344-7360, December.
    2. Lee, Sir Yee & Hu, Jiayao & Lim, Ming K, 2021. "Maximising the circular economy and sustainability outcomes: An end-of-life tyre recycling outlets selection model," International Journal of Production Economics, Elsevier, vol. 232(C).
    3. Shyamali Ghosh & Sankar Kumar Roy & Gerhard-Wilhelm Weber, 2023. "Interactive strategy of carbon cap-and-trade policy on sustainable multi-objective solid transportation problem with twofold uncertain waste management," Annals of Operations Research, Springer, vol. 326(1), pages 157-197, July.
    4. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    5. Kannan Govindan & Mia Hasanagic, 2018. "A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 278-311, January.
    6. Millar, Neal & McLaughlin, Eoin & Börger, Tobias, 2019. "The Circular Economy: Swings and Roundabouts?," Ecological Economics, Elsevier, vol. 158(C), pages 11-19.
    7. Kayikci, Yasanur & Kazancoglu, Yigit & Gozacan-Chase, Nazlican & Lafci, Cisem & Batista, Luciano, 2022. "Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 149(C), pages 375-392.
    8. Amir Hossein Azadnia & Muhamad Zameri Mat Saman & Kuan Yew Wong, 2015. "Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 383-408, January.
    9. Karthik Murali & Michael K. Lim & Nicholas C. Petruzzi, 2019. "The Effects of Ecolabels and Environmental Regulation on Green Product Development," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 519-535, July.
    10. De, Debashree & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Ghosh, Sadhan Kumar, 2020. "Impact of Lean and Sustainability Oriented Innovation on Sustainability Performance of Small and Medium Sized Enterprises: A Data Envelopment Analysis-based framework," International Journal of Production Economics, Elsevier, vol. 219(C), pages 416-430.
    11. Asim Paul & Magfura Pervin & Sankar Kumar Roy & Nelson Maculan & Gerhard-Wilhelm Weber, 2022. "A green inventory model with the effect of carbon taxation," Annals of Operations Research, Springer, vol. 309(1), pages 233-248, February.
    12. Nesrin Ada & Yigit Kazancoglu & Muruvvet Deniz Sezer & Cigdem Ede-Senturk & Idil Ozer & Mangey Ram, 2021. "Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    13. Li, Guo & Wu, Huamin & Sethi, Suresh P. & Zhang, Xiang, 2021. "Contracting green product supply chains considering marketing efforts in the circular economy era," International Journal of Production Economics, Elsevier, vol. 234(C).
    14. Sadia Samar Ali & Haripriya Barman & Rajbir Kaur & Hana Tomaskova & Sankar Kumar Roy, 2021. "Multi-Product Multi Echelon Measurements of Perishable Supply Chain: Fuzzy Non-Linear Programming Approach," Mathematics, MDPI, vol. 9(17), pages 1-27, August.
    15. Ipek Kazancoglu & Yigit Kazancoglu & Emel Yarimoglu & Aysun Kahraman, 2020. "A conceptual framework for barriers of circular supply chains for sustainability in the textile industry," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1477-1492, September.
    16. W. W. Rostow, 1959. "The Stages Of Economic Growth," Economic History Review, Economic History Society, vol. 12(1), pages 1-16, August.
    17. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    18. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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