Evaluating green supplier development programs with a grey-analytical network process-based methodology

Yijie Dou, Qinghua Zhu*, Joseph Sarkis

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

185 Citeringar (Scopus)

Sammanfattning

Under circumstances of increasing environmental pressures from markets and regulators, focal companies in supply chains have recognized the importance of greening their supply chain through green supplier development programs. Various studies have started to explore the inter-relationships between green supply chain management and supplier performance. Much of this performance can be achieved only with suppliers' involvement in green supplier development programs. But, the literature focusing on green supplier development programs and supplier involvement propensity is very limited. In addition, formal tools and models for focal companies to evaluate these inter-relationships, especially considering propensity of suppliers' involvement, are even rarer. To help address this gap in the literature, we introduce a grey analytical network process-based (grey ANP-based) model to identify green supplier development programs that will effectively improve suppliers' performance. We further comprehensively evaluate green supplier development programs with explicit consideration of suppliers' involvement propensity levels. A real world example is introduced to demonstrate the effectiveness of the model. We end with a discussion of managerial implications and present some directions for further research.

OriginalspråkEngelska
Referentgranskad vetenskaplig tidskriftEuropean Journal of Operational Research
Volym233
Utgåva2
Sidor (från-till)420-431
Antal sidor12
ISSN0377-2217
DOI
StatusPublicerad - 01.03.2014
MoE-publikationstypA1 Originalartikel i en vetenskaplig tidskrift

Nyckelord

  • 512 Företagsekonomi

Fingeravtryck

Fördjupa i forskningsämnen för ”Evaluating green supplier development programs with a grey-analytical network process-based methodology”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här