Special Issue on Innovative Textiles in the Era of Circular Economy

Furferi, Rocco

doi:10.3390/app11094161

Cited by 2 publications

(1 citation statement)

References 17 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tactical risks Business branding The initial step of occupational processes is Branding; it fosters customers whether to get manufactured goods or not; this can also upsurge the possibility of practising CSC in Textile sectors Dwivedi et al ( 2005 ), Olatubosun et al ( 2021 ) Apparent customers A CSC frequently fails due to a non-cooperative mode among clients and suppliers; there might be an absence of confidence and reliability in their goods Kazancoglu et al ( 2020a , 2020b ); Weber ( 2019 ) Balanced offers In the CSC, the allocation price of the resource is less than other process allocations. Providing additional bargains on their goods, not including a future operative analysis, monetary and business sufferers may appear Furferi ( 2021 ), Wang et al ( 2022 ) Vision statements An absence of effective corporate monitoring and future scrutiny significantly influences functioning, innovation, and market tactics for a sustainable CSC process Levanen et al ( 2021 ), Valentine et al ( 2017 ) Report governing In CSC, statements and records are the primary considerations. Deprived of past data, a productive supply chain is intolerable for apparent coming demand and costs Ambika and Srilekha ( 2021 ), Lahane and Kant ( 2021 ) 5.…”

Section: Literature Reviewmentioning

confidence: 99%

Building risk mitigation strategies for circularity adoption in Indian textile supply chains

et al. 2023

View full text Add to dashboard Cite

Textile industries are among the most polluting and demand urgent management measures to mitigate their negative environmental impact. Thus, it is imperative to incorporate the textile industry into the circular economy and to foster sustainable practices. This study aims to establish a comprehensive, compliant decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India’s textile industries. The Situations Actors Processes and Learnings Actions Performances (SAP–LAP) technique analyses the problem. However, interpreting the interacting associations between the SAP–LAP model-based variables is somewhat lacking in this procedure, which might skew the decision-making process. As a result, in this study, the SAP–LAP method is accompanied by a novel ranking technique, namely, the Interpretive Ranking Process (IRP), which reduces decision-making issues in the SAP–LAP method and aids in evaluating the model by determining the ranks of variables; furthermore, the study also offers causal relationships among the various risks and risk factors and various identified risk-mitigation actions by constructing Bayesian Networks (BN) based on conditional probabilities. The study’s originality represents the findings using an instinctive and interpretative choice approach to address significant concerns in risk perception and mitigation techniques for CSC adoption in the Indian textile industries. The suggested SAP–LAP and the IRP-based model would assist firms in addressing risk mitigation techniques for CSC adoption concerns by providing a hierarchy of the various risks and mitigation strategies to cope with. The simultaneously proposed BN model will help visualise the conditional dependency of risks and factors with proposed mitigating actions.

show abstract