Using TODIM to evaluate green supply chain practices under uncertainty

Tseng, Ming‐Lang; Lin, Yuan-Hsu; Tan, Kim Hua; Chen, Rong-Hui; Chen, Yuan-Ho

doi:10.1016/j.apm.2013.11.018

Cited by 94 publications

(40 citation statements)

References 48 publications

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“…In order for China to continue its rapid economic development, Chinese organisations need to initiate industrial and corporate environmental management measures (Tseng and Chiu, 2013;Bai et al, 2015). Since 1992, China has incorporated sustainable development within a basic national strategy and many Chinese manufactures have started implementing organisational approaches such as environmental management systems and cleaner production, along with green production to improve both environmental and economic performance (He et al, 2012;Zhu et al, 2005;Tseng, 2014a). However, ecological degradation and environmental pollution in China have continued to be serious issues and have inflicted great damage on the quality of life and economy.…”

Section: Introductionmentioning

confidence: 99%

Green and lean sustainable development path in China: Guanxi , practices and performance

Zhan

Tan

et al. 2018

Resources, Conservation and Recycling

116

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Globalisation has created both drivers and pressure for Chinese organisations to enhance their business performance as well as environmental performance. Green and lean practice is emerging as a critical approach for Chinese organisations to achieve sustainable development and improve organisational performance. By conducting empirical studies from 172 respondents on green and lean practice in different Chinese organisations, this research shows how green and lean practice affects organisational performance and how this association is affected by guanxi. The findings explain that guanxi between organisational partners improves the positive effect of green and lean practice on organisational performance. The results of this paper offer helpful insights into how managers should enhance their guanxi initiatives, in order to improve environmental and business performance over their supply chains. The paper also suggests the limitations of this research, as well as directions for future research.

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Section: Introductionmentioning

confidence: 99%

Green and lean sustainable development path in China: Guanxi , practices and performance

Zhan

Tan

et al. 2018

Resources, Conservation and Recycling

116

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“…Based on RDT, firms that do not have necessary resources can build up relationship with other partners in the SC and obtain resources though SC collaboration. Tseng et al (2009) supported this by saying that firms that are able to select from a wide variety of suppliers and leverage resources throughout the firm can eliminate the environmental impacts using the GSCM practices (Tseng et al, 2014). By doing so, all partners involved can not only reduce the negative impact on environment, but also enhance the business performance and build a stronger customersupplier relationship (Carter and Rogers, 2008;Cao and Zhang, 2010).…”

Section: Gscm and Performancementioning

confidence: 84%

“…Many researchers (i.e., Bowen et al (2001); Lee et al (2012); Tseng et al (2014))support this view, saying that it is essential to have support from top management in order to make commitment and encouragement to achieve corporate environmental objectives. In SMEs, generally the owner or the manager is directly involved in the operations.…”

Section: Gscm Practices In Smesmentioning

confidence: 99%

“…Moreover, supplier selection is crucial and a key strategic route for firms to reduce environmental impact on operations (Tseng and Chiu, 2013). Tseng et al (2014) highlighted that green activities for a firm need to include strategic green purchasing. A recent study by Banaeian et al (2015) formulated an integrated framework which has green supplier selection criteria for food SCs.…”

Section: Gscm Practices In Smesmentioning

confidence: 99%

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Green supply chain management – food for thought?

Ali

Bentley

Habib

2016

International Journal of Logistics Research and Applications

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This paper investigates the impact of green supply chain management (GSCM) practices on the performance of UK food retail small and medium-sized enterprises (SMEs). A quantitative approach using a nonprobability sampling of 84 participants was employed. Based on the literature review, five hypotheses were developed and tested using the partial least square-structural equation modelling (SEM-Smart PLS 2.03) approach. The reviewed literature revealed that key internal drivers (ID) and external pressures (EP) stimulate organizations to initiate GSCM Practices in UK food retail SMEs. Though empirical findings strongly supported the statement that ID influence GSCM practices but they did not show a significant relationship between EP and GSCM practices. Literature also suggests that practicing GSCM can help improve the efficiency, brand image (BI) and profitability, and thus improve the overall firm performance which is also empirically proved. This study helps enrich existing theories on SCM and organizational performance. As to practical impact, this study should facilitate SMEs in GSCM practices and thus help green the economy. While the findings of this study have limited generalizability as the data were collected from UK SMEs only and the sample size was comparatively small, this research establishes a foundation for further study in this domain.

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“…The fact that fuzzy sets and fuzzy numbers have the capacity to represent and manipulate imprecise parameters means that the process is more powerful and the results tend to be more credible [13][14][15]. A number of green supply chain studies have succeeded in integrating fuzzy numbers with decision models to facilitate the evaluation of performance among green suppliers [16][17][18][19][20]. This existing literature has well verified fuzzy decision models can provide information of greater credibility, and obtain highly effective in aggregating the views of experts.…”

Section: Introductionmentioning

confidence: 99%

Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

et al. 2017

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A decision model for selecting a suitable supplier is a key to reducing the environmental impact in green supply chain management for high-tech companies. Traditional fuzzy weight average (FWA) adopts linguistic variable to determine weight by experts. However, the weights of FWA have not considered the public voice, meaning the viewpoints of consumers in green supply chain management. This paper focuses on developing a novel decision model for green supplier selection in the One Belt and One Road (OBOR) initiative through a fuzzy weighted average approach with social media. The proposed decision model uses the membership grade of the criteria and sub-criteria and its relative weights, which consider the volume of social media, to establish an analysis matrix of green supplier selection. Then, the proposed fuzzy weighted average approach is considered as an aggregating tool to calculate a synthetic score for each green supplier in the Belt and Road initiative. The final score of the green supplier is ordered by a non-fuzzy performance value ranking method to help the consumer make a decision. A case of green supplier selection in the light-emitting diode (LED) industry is used to demonstrate the proposed decision model. The findings demonstrate (1) the consumer's main concerns are the "Quality" and "Green products" in LED industry, hence, the ranking of suitable supplier in FWA with social media information model obtained the difference result with tradition FWA; (2) OBOR in the LED industry is not fervently discussed in searches of Google and Twitter; and (3) the FWA with social media information could objectively analyze the green supplier selection because the novel model considers the viewpoints of the consumer.

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Using TODIM to evaluate green supply chain practices under uncertainty

Cited by 94 publications

References 48 publications

Green and lean sustainable development path in China: Guanxi , practices and performance

Green and lean sustainable development path in China: Guanxi , practices and performance

Green supply chain management – food for thought?

Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

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