Identifying and evaluating E-procurement in supply chain risk by Fuzzy MADM

Autor: Mostafa Memarzade, Reza Kiani Mavi, Hassan Khodaei Valehzagharad, Mohammad Mahdi mozaffari
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Management Science Letters, Vol 2, Iss 4, Pp 1365-1376 (2012)
Druh dokumentu: article
ISSN: 1923-9335
1923-9343
Popis: 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.
Databáze: Directory of Open Access Journals