Green Supplier Selection: An Empirical Investigation

Ghosh, Sudipta; Bhowmik, Chiranjib; Mandal, Madhab Chandra; Ray, Amitava

doi:10.1007/978-981-15-9829-6_57

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…During the interview process, the questionnaire is distributed among the experts, who, individually assign their preference ratings in view of the importance of criteria and also provided their opinion. Experts' ratings are measured using a 9-point linguistic scale [17], where a rating of 1 means the corresponding criteria is less signi cant and 9 means extremely signi cant. Since the data is gathered from 20 individual responses of the experts from each organization; therefore, the mean value of those responses is considered for a single criterion [28].…”

Section: Application and Resultsmentioning

confidence: 99%

“…DMs can select the rst eigenvalues and discard the remainder to reduce the dimensionality. PCs are built in such a way that the rst PC explains the majority of the variation within dataset [17]. Likewise, the second PC is computed in a orthogonal way to the rst PC and it accounts for the next largest variation.…”

Section: Pca Methodsmentioning

confidence: 99%

“…The value ranges from 0 to 1. It is recommended that a good value should lie between 0.75 to 0.85 or even higher in many cases [17]. If value is less than 0.75 then the dataset may not be reliable for further analysis, and requires further investigation.…”

Section: Item Analysismentioning

confidence: 99%

“…Solution of MCDM problems comprises three stages: development of an evaluation framework, determination of criteria weight, and assessment of the performances of alternatives [15]. In case of GSS framework, rigorous literature review and experts' opinion is required to identify the most suitable evaluation criteria, followed by application of various screening methods (such as the Delphi method [16], PCA [17], and data mining [18] etc.). In MCDM, calculation of criteria weight is of utmost important as it in uences the alternative ranking signi cantly.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Ghosh

Bhowmik

Sinha

et al. 2023

Preprint

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This research proposes a comprehensive framework to evaluate green suppliers. A real-world green supplier selection (GSS) problem is considered in which three India-based automobile manufacturing organizations, namely Supplier 1, Supplier 2, and Supplier 3 are selected for the evaluation. Initially, fourteen important criteria are extracted from literature and experts’ suggestion, which encompasses both the environmental, economic, and operational aspects of sustainability. Firstly, data is collected through the development of a questionnaire, formation of an expert committee, and carrying out interviews with the experts. Secondly, an integrated multi-criteria decision-making (MCDM)-multivariate approach is proposed in which the item analysis is used to examine the internal consistency of data, the principal component analysis (PCA) is used to calculate the weights of the parameters. Finally; the simple additive weighting (SAW) method is used to determine the performance scores of the case organizations for ranking and benchmarking purpose. The result reveals that Supplier 3 is the benchmark supplier as it gains the highest performance score. The result also recommends that collaboration with suppliers for green purchasing is the most influential parameter for GSS. This research may assist policymakers to strategically select the optimum green supplier for sustainability.

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Section: Application and Resultsmentioning

confidence: 99%

Section: Pca Methodsmentioning

confidence: 99%

Section: Item Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis

Ghosh

Bhowmik

Sinha

et al. 2023

Preprint

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“…CE performance assessment is an MCDM‐type problem, as it evaluates multiple criteria and alternatives and simultaneously reaches the most optimal decision. Although several MCDM tools are available, such as simple additive weighting or SAW (Ghosh, Bhowmik, et al, 2021), AHP (Ghosh et al, 2022a), TOPSIS (Ghosh et al, 2021a), COPRAS (Ghosh et al, 2022d), and GRA (Ghosh et al, 2022b), this research applies an integrated CRITIC‐VIKOR approach that has not been previously used in this area. It adopts a three‐phase methodology, namely, Phase 1: preparation phase, Phase 2: weight determination phase, and Phase 3: evaluation phase.…”

Section: Methodsmentioning

confidence: 99%

Attaining Sustainable Development Goals through embedding circular economy principles: Evidence from food processing small‐ and medium‐sized enterprises in India

Ghosh,

Raut,

Cheikhrouhou

et al. 2023

Bus Strat Env

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Various industries are gradually sifting away from the linear economy and toward the circular economy (CE), but its advancement is crawling far behind the environmental contamination by the food processing industry in developing countries. Hardly any research analyzes the CE performance of food processing small‐ and medium‐sized enterprises (FPSMEs) in an emerging economy context. Hence, developing a CE performance evaluation framework is imperative to facilitate this transition. This research proposes a comprehensive framework for evaluating CE performance based on three real‐world cases of Indian FPSMEs. Initially, 15 essential criteria are shortlisted from the literature and refined by the experts. Afterward, data are collected through questionnaires administered to experts and structured interviews. Next, this research employs a multi‐criteria decision‐making (MCDM)–based approach, in which the Criteria Importance Through Inter‐criteria Correlation (CRITIC) method is used to compute the objective weights of criteria and the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method is used to determine the performances of FPSMEs and rank them accordingly. The results reveal that “investment in Corporate Social Responsibility (CSR),” “use of renewable energy,” “increase in scrap recycling rate,” “total emission,” and “total water consumption” are the top five criteria for CE performance. Investment in CSR emerges as the most influential criterion for strategic corporate transformation, which blends the notions of CE and CSR as a feasible solution for designing circular business processes.

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