Identification of influential quality management variables using ISM approach Online publication date: Fri, 29-Apr-2016
by Ashwini Sharma; Dixit Garg; Ashish Agarwal
International Journal of Advanced Operations Management (IJAOM), Vol. 8, No. 1, 2016
Abstract: This paper aims to explain the relationship between the influential variables which affects the quality in supply chain. It proposes modelling the quality variables and outlining how these variables influence quality in context with a typical supply chain. Interpretive structural modelling (ISM) is used in this study to derive the interrelationship among the influential variables to improve the quality in supply chain. It is found that out of 14 selected variables the top management commitment, employee training and involvement, best practices, market sensitiveness and supply chain coordination are the key variables which greatly affect the return on investment and brand value of an organisation. The above model gives important guidelines to the supply chain managers to tackle these variables on priority basis for effective supply chain quality management. The results can give good learning insight for practitioners about driving and dependence power of variables in supply chain quality.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Operations Management (IJAOM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook