2020
DOI: 10.1007/s12597-020-00453-w
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A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework

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Cited by 13 publications
(7 citation statements)
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“…The developing countries do not have well-defined e-waste policies and therefore contribute more to e-waste (Mejame et al, 2020). Countries should strive to develop some e-waste policies to manage e-waste production for the benefit of the environment (Cole et al, 2018), to recycle (Garg, 2020) and to develop alternative technologies (Mejame et al, 2020;Peagam et al, 2013). The developed and developing countries differently prioritize the ewaste management system and policies (Kaminsky, 2016;Liddle, 2013).…”
Section: Country Development Levels and E-waste Policy As Moderatorsmentioning
confidence: 99%
“…The developing countries do not have well-defined e-waste policies and therefore contribute more to e-waste (Mejame et al, 2020). Countries should strive to develop some e-waste policies to manage e-waste production for the benefit of the environment (Cole et al, 2018), to recycle (Garg, 2020) and to develop alternative technologies (Mejame et al, 2020;Peagam et al, 2013). The developed and developing countries differently prioritize the ewaste management system and policies (Kaminsky, 2016;Liddle, 2013).…”
Section: Country Development Levels and E-waste Policy As Moderatorsmentioning
confidence: 99%
“…To change the grey number into crisp numbers, modified fuzzy values into crisp scores (CFCS) are used (Fu et al, 2012). Many other researchers have applied the grey approach with DEMATEL methodology in different fields successfully like thirdparty logistics selection criteria (Govindan et al, 2016), automotive parts remanufacturing (Xia et al, 2015), analyzing enablers of green innovation (Gupta & Barua, 2018), identifying critical factors of construction and demolition waste management (Liu et al, 2020), reverse logistics (Garg, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…This helps in validating decision-making by the experts for this study. Many methods are used for sensitivity analysis; in this study, weights of one expert are changed, thus keeping the weights of other experts similar to check the effect of one expert over the whole system (Garg, 2020 ; Gupta & Barua, 2018 ). Earlier equal weights were assigned to the experts as the minimum experience was 07 years.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…Skinner et al and De Koster et al [232,236] individuated five main policies for returned products disposition, i.e., destroying, recycling (resell at a lower value), refurbishing (repair and resell as used), remanufacturing (repair and resell as new) and repackaging (sell as new) Each policy had different impacts on economic performance, operational responsiveness and operational service quality. In order to support reverse logistics operations, such as defining the value and the need of reconditioning of products, many frameworks and matrixes have been carried out [237][238][239][240][241][242][243], which are different from others for the market context and the variables included (for example customer perception and environmental impact). The work of Ramanathan [244] analyzed the relationship between the performance of companies in handling product returns and customer loyalty; it revealed that handling product returns played an important role in shaping customer loyalty for low-risk products and also for high-risk products, although not for products with a medium level of risk.…”
Section: Reverse Logistics (Rl)mentioning
confidence: 99%