TY - JOUR
T1 - Supplier sustainability performance evaluation using the analytic network process
AU - Giannakis, Mihalis
AU - Dubey, Rameshwar
AU - Vlachos, Ilias
AU - Ju, Yanbing
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2/20
Y1 - 2020/2/20
N2 - We develop a sustainability performance measurement framework for supplier evaluation and selection, using the Analytic Network Process (ANP) method. Even though the literature is rife with studies that deal with the supplier selection problem, companies that actively pursue sustainability strategies may need to add metrics that show suppliers’ sustainability performance. Existing models for measuring sustainability performance are limited in that they either evaluate the environmental and social performance separately, do not consider the inter-relationships between metrics across the three dimensions of sustainability, or utilize metrics that are difficult to obtain and evaluate accurately. To overcome this deficiency, we use the ANP method, that takes into account the interrelations between quantifiable and easy to obtain sustainability-related evaluation metrics. First, through an extensive literature review and feedback from an experts’ panel, we select and classify salient sustainability performance metrics related to supplier evaluation. With data collected through an extensive survey amongst 144 supply chain professionals in the UK and France, we develop the interdependencies between several sustainability metrics and determine the most critical metrics by calculating their relative weights. Results show that the selected socio-economic metrics carry the most relatively important role in supplier selection. Based on the findings of the study, we discuss implications for theory and practice. The proposed evaluation system can provide details on observing sustainable supply chain performance. It can also help to get a clearer insight into sustainability with a well-established quantitative decision-making process so that business strategies can be developed with more concerns on supply chain sustainability.
AB - We develop a sustainability performance measurement framework for supplier evaluation and selection, using the Analytic Network Process (ANP) method. Even though the literature is rife with studies that deal with the supplier selection problem, companies that actively pursue sustainability strategies may need to add metrics that show suppliers’ sustainability performance. Existing models for measuring sustainability performance are limited in that they either evaluate the environmental and social performance separately, do not consider the inter-relationships between metrics across the three dimensions of sustainability, or utilize metrics that are difficult to obtain and evaluate accurately. To overcome this deficiency, we use the ANP method, that takes into account the interrelations between quantifiable and easy to obtain sustainability-related evaluation metrics. First, through an extensive literature review and feedback from an experts’ panel, we select and classify salient sustainability performance metrics related to supplier evaluation. With data collected through an extensive survey amongst 144 supply chain professionals in the UK and France, we develop the interdependencies between several sustainability metrics and determine the most critical metrics by calculating their relative weights. Results show that the selected socio-economic metrics carry the most relatively important role in supplier selection. Based on the findings of the study, we discuss implications for theory and practice. The proposed evaluation system can provide details on observing sustainable supply chain performance. It can also help to get a clearer insight into sustainability with a well-established quantitative decision-making process so that business strategies can be developed with more concerns on supply chain sustainability.
KW - Analytical network process
KW - Sustainability performance
KW - Sustainable supplier selection
UR - http://www.scopus.com/inward/record.url?scp=85076309908&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2019.119439
DO - 10.1016/j.jclepro.2019.119439
M3 - Article
AN - SCOPUS:85076309908
SN - 0959-6526
VL - 247
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 119439
ER -