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Logistics Decision Model for Environmental Aspect using the Analytic Network Process
AMCIS 2011 Proceedings - All Submissions
  • Young-Chan Lee, Dongguk University
  • Hyung-Jin Oh, Dongguk University
  • Chulmo Koo, Chosun University
  • Joseph Sarkis, Clark University
Business Intelligence and Knowledge Management
Publication Date
Green supply chain management has appeared as an essential strategy for enhancing environmental performance ofprocesses, structures, and products accordingly to address regulatory and competitive forces. Korean firms lag in greenlogistics activities relative to ‘green’ leading companies in advanced countries. Thus, few papers have identified andinvestigated green supply chain systems within South Korea. To further understand how some Korean firms may wish tofurther develop green logistics and supply chain practices, this paper explores a decision making framework of GreenLogistics by using ANP (analytic network process). We derived 5 clusters and 21 components forming the strategic greenlogistics, and then conducted surveys for pairwise comparison of experts on Green Logistics in Korean firms, and computedrelative weights of the clusters. Our findings indicate that Green Logistics would be very helpful for managers to adjust theirstrategic decisions for green supply chain management. The technique proposed in this paper may be generalized to othercountries with the framework developed not unique to just Korean industry.
Citation Information
Young-Chan Lee, Hyung-Jin Oh, Chulmo Koo and Joseph Sarkis. "Logistics Decision Model for Environmental Aspect using the Analytic Network Process" (2011)
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