McDaid, Conor and Azadnia, Amir Hossein and Onofrei, George and Tirkolaee, Erfan Babaee
(2023)
Industry readiness measurement for circular supply chain implementation: an Irish dairy industry perspective.
Annals of Operations Research.
ISSN 0254-5330
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.
Item Type: |
Article
|
Keywords: |
Circular supply chain; Fuzzy inference system; Best–worst method; Readiness
measurement; Critical success factors; Dairy industry; |
Academic Unit: |
Faculty of Social Sciences > School of Business |
Item ID: |
18967 |
Identification Number: |
https://doi.org/10.1007/s10479-023-05602-0 |
Depositing User: |
Amir Azadnia
|
Date Deposited: |
03 Oct 2024 08:55 |
Journal or Publication Title: |
Annals of Operations Research |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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