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  • 标题:Identifying and evaluating E-procurement in supply chain risk by Fuzzy MADM ,
  • 本地全文:下载
  • 作者:Mohammad Mahdi mozaffari ; Hassan Khodaei Valehzagharad Reza Kiani Mavi ; Mostafa Memarzade
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2012
  • 卷号:2
  • 期号:4
  • 页码:1365-1376
  • DOI:10.5267/j.msl.2012.02.002
  • 出版社:Growing Science
  • 摘要:E-procurement risks has emerged as an important issue for researchers and practitioners because mitigating supply chain risk helps improve firms’ as well as supply chains’ performance. E-marketplaces have been steadily growing and there have been significant interest in e-business research. There are different risks and uncertainties involved with E-marketplaces, which jeopardizes the sector but we have had a large amount of hype and the business still continue to grow. The primary aim of this study is to identify E-procurement risks and evaluate them using a fuzzy AHP framework. We contribute E-procurement risk by identifying 13 critical criteria and determine four important ones including the extent of acceptable information, interrelationship risk, lack of honesty in relationships and product quality and safety for evaluating suppliers’ risk.

  • 关键词:E-procurement; Risk management; Fuzzy logic; MADM
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