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An analysis of barriers in information sharing in supply chains

An analysis of barriers in information sharing in supply chains This paper aims to identify and analyse the main barriers in information sharing in supply chains. The barriers were identified through a detailed literature review followed by the screening of the barriers through analytic hierarchy process (AHP) to identify the most important barriers. The most important barriers thus identified are considered for further analysis by invoking interpretive structural modelling (ISM) to establish the relationship between these important barriers. Keywords: information sharing; supply chain; interpretive structural modelling; ISM. Reference to this paper should be made as follows: Sendhil Kumar, R., Pugazhendhi, S., Muralidaran, C. and Essakimoorthy, E. (2017) `An analysis of barriers in information sharing in supply chains', Int. J. Enterprise Network Management, Vol. 8, No. 1, pp.61­77. Biographical notes: Ramakrishnan Sendhil Kumar is working as a Manager in Dymos Lear automotive India Pvt Ltd, Hyundai Motor Group, Chennai, India. His current research areas cover supply chain management and lean manufacturing. Copyright © 2017 Inderscience Enterprises Ltd. Singaram Pugazhendhi is a Professor and Head of the Department of Manufacturing Engineering, Annamalai University, Chidambaram, Tamil Nadu, India. He obtained his Masters' degree and PhD from Annamalai University and his research interest includes production/operations management, optimisation, and supply chain management. To http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Enterprise Network Management Inderscience Publishers

An analysis of barriers in information sharing in supply chains

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Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1748-1252
eISSN
1748-1260
DOI
10.1504/IJENM.2017.083608
Publisher site
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Abstract

This paper aims to identify and analyse the main barriers in information sharing in supply chains. The barriers were identified through a detailed literature review followed by the screening of the barriers through analytic hierarchy process (AHP) to identify the most important barriers. The most important barriers thus identified are considered for further analysis by invoking interpretive structural modelling (ISM) to establish the relationship between these important barriers. Keywords: information sharing; supply chain; interpretive structural modelling; ISM. Reference to this paper should be made as follows: Sendhil Kumar, R., Pugazhendhi, S., Muralidaran, C. and Essakimoorthy, E. (2017) `An analysis of barriers in information sharing in supply chains', Int. J. Enterprise Network Management, Vol. 8, No. 1, pp.61­77. Biographical notes: Ramakrishnan Sendhil Kumar is working as a Manager in Dymos Lear automotive India Pvt Ltd, Hyundai Motor Group, Chennai, India. His current research areas cover supply chain management and lean manufacturing. Copyright © 2017 Inderscience Enterprises Ltd. Singaram Pugazhendhi is a Professor and Head of the Department of Manufacturing Engineering, Annamalai University, Chidambaram, Tamil Nadu, India. He obtained his Masters' degree and PhD from Annamalai University and his research interest includes production/operations management, optimisation, and supply chain management. To

Journal

International Journal of Enterprise Network Management – Inderscience Publishers

Published: Jan 1, 2017

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