|作者：||Rajesh Katiyar, M. K. Barua, Purushottam L. Meena|
1Assistant Professor, School of Management, IMS Unison University, Dehradun, Uttarakhand, India.
2Associate Professor, Department of Management Studies, Indian Institute of Technology, Roorkee, Uttarakhand, India.
3Associate Professor of Operations Management, School of Management, New York Institute of Technology, Wisser Library, Old Westbury, New York, USA.
|刊名：||Global Business Review, 2018, Vol.19 (1), pp.48-68|
|来源数据库：||Sage Publications, Inc.|
|关键词：||Supply chain performance measurement; interpretive structural modeling; barriers; fuzzy MICMAC;|
|原始语种摘要：||The purpose of this article is to explore key barriers in measuring supply chain performance (SCP). In today’s competitive business environment, companies are facing various issues in measuring SCP because of various constraints and these constraints act as a barrier. This article first explores the key barriers that affect SCP measurement (SCPM) and then investigates the mutual relationships among these barriers. Interpretive Structural Modeling (ISM) with fuzzy Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) approach is employed to investigate the interrelationships among key barriers. The results show that the lack of awareness related to SCPM is one of the critical barriers. Further, various strategies are suggested to eradicate the critical barriers in... measuring SCP for the managers.|