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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.

Purpose – The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness. Design/methodology/approach – In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement. Findings – The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems. Originality/value – In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

Purpose Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but there exist a good fraction of customers resisting these services. Therefore, the purpose of this paper is to identify the barriers generating resistance to online banking. The special focus of the paper is to explore resistance among bank customers who already have valid contracts for online banking but still prefer to approach the traditional branches for transactions. Design/methodology/approach To achieve the objective, interpretive structural modelling (ISM) with cross-impact matrix multiplication applied to classification (MICMAC) approach is used to investigate the interrelationships among the barriers to online banking. Findings Online banking, although proven to be a glorious innovation, has still not been adopted by all, and hence, has not met all the expectations of banks and banking sector. The outcome shows that the online illiteracy and online unawareness are the most important barriers and these two are working as the root cause and demand strong attention on part of the banking sector which is working towards the inclusion of customers to online banking. These findings may help the Indian banking sector in identifying the crucial points that affect online banking system in India the most. Originality/value This research explored the interactions among the barriers to online banking in the Indian scenario and revealed significant results through the ISM-based technique.

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