Title: An empirical study on effect of information sharing on supply chain performance - the case of Indian automotive industry

Authors: R. Sendhil Kumar; S. Pugazhendhi; C. Muralidharan; S. Murali

Addresses: Department of Industrial Engineering, Dymos Lear automotive India Pvt. Ltd., Hyundai Motor Group, Chennai, India ' Directorate of Distance Education, Department of Manufacturing Engineering, Annamalai University, Annmalainagar, India ' Department of Manufacturing Engineering, Annamalai University, Annmalainagar, India ' Department of Mechanical Engineering, Sri Sairam Institute of Technology, Chennai, India

Abstract: Sharing information is regarded as one of the most effective ways of improving supply chain (SC) performance. The present study aims to understand and determine factors related to information sharing that would be able to enhance the SC performance with specific focus on Indian automotive industries. Data collected from the middle, senior and top level management executives of automotive industries in India is used to test the relationships between the constructs in the model through the application of multiple regression analysis. The results supported the proposed multiple linear regression model development. The results of the analysis indicate that all the factors that are considered to have a direct and significant influence on SC performance. The study is further extended to examine whether there is any significant difference, among the four levels of organisations such as OEM, TIER1, TIER2 and TIER3 with respect to the dimensions of information sharing that influences the performance of SC. The findings can help the firms to identify the areas that need attention to achieve better SC performance.

Keywords: information sharing; supply chain performance; management support; employee support; SC members support; multiple regression.

DOI: 10.1504/IJLSM.2018.095821

International Journal of Logistics Systems and Management, 2018 Vol.31 No.3, pp.299 - 319

Received: 24 Oct 2016
Accepted: 14 Apr 2017

Published online: 23 Oct 2018 *

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