RETRACTED ARTICLE: An integrated fuzzy decision model for prioritization of barriers affecting sustainability adoption within supply chains under unknown weight context

Krishankumar, Raghunathan; Amritha, P. P.; Ravichandran, K. S.

doi:10.1007/s12063-022-00322-3

Cited by 9 publications

(3 citation statements)

References 70 publications

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“…Singh et al [84] proposed a gray-DEMATEL approach for assessing barriers that hamper the product life-cycle phase in a manufacturing organization. Krishankumar et al [50] used the nonlinear fuzzy context along with variance-based COPRAS to assess barriers in sustainable operations. Govindan et al [34] devised an extension to BWM in the fuzzy context, utilizing DEMATEL and supermatrix for prioritizing the barriers in the circular economy aspect.…”

Section: A Prioritization Models For Grading Barriersmentioning

confidence: 99%

“…Globally, countries strive hard to achieve sustainable and lean growth, focusing on indicators, strategies, and policies to balance economic and environmental growth [38], [91]. However, the process of inclusion of sustainability is not straightforward since it is associated with different aspects with varying levels of dynamism [31] and different barriers/challenges that can appear, hindering the adoption phase [50], [54]. As per the report from indiabudget.gov.in, (accessed: 10.01.2023), the Government of India came up with diverse initiatives, such as Swachh Bharat, Pradhan Mantri Awas Yojana, Deen Dayal Upadhyay Gram Jyoti Yojana, Beti Bachao Beti Padhao, and alike, by investing billions of dollars toward achieving the various goals of sustainable development nationwide.…”

Section: Introductionmentioning

confidence: 99%

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Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data

Krishankumar,

Ramanujam,

Zavadskas

et al. 2024

IEEE Trans. Eng. Manage.

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In this article, we aim to prioritize barriers hindering sustainability inclusion within clean energy supply chains. Supply chain management is a crucial aspect of the clean energy sector, whereby the global supply chains can be enforced with policies to adopt sustainability/green practices. The literature infers that the adoption of sustainability is not direct, and multiple barriers impede the process, driving researchers to rank these barriers. Previous studies on prioritizing barriers cannot effectively model uncertainty; experts' reliability is directly assigned; interrelationships/hesitation of criteria/experts are usually not considered; and there is a lack of personalized ordering based on individuals' preferences. Motivated by these gaps, the authors put forward an integrated framework with a Fermatean fuzzy set, variance-based criteria importance through intercriteria correlation for determining experts' and criteria weights, and ranking procedure with complex proportional assessment-Copeland for personalized ordering of barriers. The usefulness of the developed approach is testified through a case example. Results infer that wastage/pollution reduction and profit from green production are the two top criteria considered for rating sustainability barriers, while limited governmental policies, monitoring/control issues, and expertise mismatch are the top three barriers impeding sustainability adoption. Finally, sensitivity and comparative analyses are performed to understand the framework's efficacy.

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Section: A Prioritization Models For Grading Barriersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data

Krishankumar,

Ramanujam,

Zavadskas

et al. 2024

IEEE Trans. Eng. Manage.

Self Cite

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“…In recent times, barrier ordering and selection is becoming crucial owing to their significance in the net growth of an organization. As nations firmly commit to reducing carbon traces, sustainability is becoming a key factor [14,15]. However, in practical cases, adopting components such as technologies, sustainable operations, and green habits is indirect, and critical barriers hinder adoption.…”

Section: Decision Models For Barriers Rankingmentioning

confidence: 99%

Fermatean Fuzzy-Based Personalized Prioritization of Barriers to IoT Adoption within the Clean Energy Context

et al. 2023

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Globally, industries are focusing on green habits, with world leaders demanding net zero carbon; clean energy is considered an attractive and viable option. The Internet of things (IoT) is an emerging technology with potential opportunities in the clean energy domain for quality improvement in production and management. Earlier studies on IoTs show evidence that direct adoption of such digital technology is an ordeal and incurs adoption barriers that must be prioritized for effective management. Motivated by the claim, in this paper, the authors attempt to prioritize the diverse adoption barriers with the support of the newly proposed Fermatean fuzzy-based decision framework. Initially, qualitative rating information is collected via questionnaires on barriers and criteria from the circular economy (CE). Later, these are converted to Fermatean fuzzy numbers used by integrated approaches for decision processes. A regret scheme is put forward for determining CE criteria importance, and the barriers are prioritized by using a novel ranking algorithm that incorporates the WASPAS formulation and experts’ personal choices during rank estimation. The applicability of the developed framework is testified via a case example. Sensitivity analysis and comparison reveal the merits and limitations of the developed decision model. Results show that labor/workforce skill insufficiency, an ineffective framework for performance, a technology divide, insufficient legislation and control, and lack of time for training and skill practice are the top five barriers that hinder IoT adoption, based on the rating data. Additionally, the criteria such as cost cutting via a reuse scheme, resource circularity, emission control, and scaling profit with green habits are the top four criteria for their relative importance values. From these inferences, the respective authorities in the clean energy sector could effectively plan their strategies for addressing these barriers to promote IoT adoption in the clean energy sector.

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Electric vehicle adoption and sustainability: Insights from the bibliometric analysis, cluster analysis, and morphology analysis

Singh,

Misra,

Daultani

et al. 2024

Oper Manag Res

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RETRACTED ARTICLE: An integrated fuzzy decision model for prioritization of barriers affecting sustainability adoption within supply chains under unknown weight context

Cited by 9 publications

References 70 publications

Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data

Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data

Fermatean Fuzzy-Based Personalized Prioritization of Barriers to IoT Adoption within the Clean Energy Context

Electric vehicle adoption and sustainability: Insights from the bibliometric analysis, cluster analysis, and morphology analysis

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