A Grey-DEMATEL approach for implicating e-waste management practice

Abstract

Purpose The use of smart electronic gadgets is proportionately increased during last decades as these gadgets are crafting coziness and relief to the society by making their work easier, effective, etc. These gadgets are the need of today’s working environment for effective planning and work execution. Today, people pertaining to almost every corner of the world are addicted to smart mobile phones, and nowadays, these mobile handsets have become very essential and it is not possible to survive without using them. On the other hand, these smart mobile handsets become inefficient and obsolete over time due to which there is a need to replace the old phones by the new ones, thus creating e-waste. The purpose of this paper is to recognize the significant enablers which are responsible for replacing the existing working mobile phones with the new ones by the end consumers. Design/methodology/approach The Grey-DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach is proposed by the authors to compute the decision results. The present work is supported by the structural modeling equations for supporting sustainability throughout and recognizes the most significant enablers responsible for creating e-waste by replacing the working mobile phones with the new ones. Findings The implication for reducing e-waste using a qualitative approach is presented by easy computation steps for collaborating green issues in the present work. The authors explained numerous enablers, which are responsible for handsets replacement by the consumers. The work can aid the companies as well as the government legislations to identify the significant enablers, drivers, factors, attributes, etc., in moving toward green environmental issue; the generation of e-waste by the obsolete existing working handsets due to non-identification of deficient enablers can be insignificant to the society. Research limitations/implications The implication of developed Grey-DEMATEL techniques is presented by its integration with the application field of e-waste generation by mobile handsets. The authors attempt to devise a conceptual framework linked with knowledge-based theory. The work is illustrated by the case research to understand its applicability and validity in the present scenario. Originality/value The authors attempt to propose a decision model, which will aid in identifying the most significant factorial condition responsible for replacing the existing mobile phones with the new ones by the end consumers. The proposed appraisement module can be used as an investigative tool to build and fabricate a planned environmental progress map for overall business considering environmental domain by the companies.

Barriers to adoption of blockchain technology in green supply chain management

“…Here, D i represents the score of influential impact and R j represents the score of influenced impact. The relative significance of the decisive factor in DEMATEL can be determined by a horizontal axis vector named “prominence.” and a vertical axis vector named “relation” (Sahu et al , 2018). A decisive factor is a member of the cause group, if ( D i – R j ) value is positive and belongs to the effect group when the corresponding values are negative (Baykasoglu et al , 2013; Sangaiah et al , 2015; Dalalah et al , 2011).…”

Modeling barriers of digital manufacturing in a circular economy for enhancing sustainability

“…Here, the tabulated entries of qij indicates the influence of ith criterion to jth criterion. Statement 3.3: The normalized initial direct relation matrix true[N=true(Nijtrue)true] in DEMATEL can be computed by utilizing Equations (2) (Sahu et al , 2018; Behl et al , 2019). Statement 3.4: In DEMATEL, Total Relation Matrix true(TRMtrue) identifies the indirect effects of normalized initial direct-relation matrix (Equation 3).…”

“…Digital manufacturing is one of the elements of the digital revolution in the 21st century (Mourtzis, 2020). Emergence of big data has significantly contributed towards the emergence of digital manufacturing competencies (Sahu et al , 2018). Digital manufacturing is the application of computer prototyping in value chain management, or in the product life cycle in smart factories to produce products such as medicines, fertilizers, automobile or construction material (Behl et al , 2019).…”

Analysis of Critical Success Factors to Design E-waste Collection Policy in India: A Fuzzy DEMATEL Approach

“…dosMuchangos et al (2015) recognized the influential barriers to municipal solid waste management policy planning in Maputo city, Mozambique Wang et al (2017). analyzed the barriers of formal enterprises of household e-waste collection in China Sahu et al (2018). modelled the enablers of green e-waste management practices for mobile phone companies in India Sharma et al (2020).…”