Article: Predicting the success possibility of information sharing implementation in supply chain Journal: International Journal of Business Innovation and Research (IJBIR) 2015 Vol.9 No.6 pp.698 - 730 Abstract: The aim of this paper is to understand information sharing enablers (ISEs) and to identify priority weights to evaluate the strength of the corresponding factors present before information sharing (IS) implementation in SC. Therefore, this study proposes an analytic hierarchy model for helping management to rank the ISEs affecting the IS implementation in SC, and measuring the success possibility for implementation. It uses analytical hierarchy process (AHP) and consistent fuzzy preference relationship (CFPR) approach to prioritise ISEs that support the IS implementation in supply chain (SC). Out of 18, top 12 ISEs were selected through nationwide questionnaire based survey on Indian manufacturing organisations. An empirical case of a gear manufacturing organisation is assessed by 12 specialists, six from case organisation, three each from suppliers and distributors. The results obtained through AHP and CFPR methodologies are compared with the result of questionnaire-based survey of Indian manufacturing organisations. If ISEs with higher priority weights are properly controlled during implementation than IS implementation in SC becomes more effective. Inderscience Publishers - linking academia, business and industry through research

Title: Predicting the success possibility of information sharing implementation in supply chain

Authors: Akshay A. Pujara; Ravi Kant

Addresses: Department of Mechanical Engineering, S.V. National Institute of Technology, Surat – 395007, India ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat – 395007, India

Abstract: The aim of this paper is to understand information sharing enablers (ISEs) and to identify priority weights to evaluate the strength of the corresponding factors present before information sharing (IS) implementation in SC. Therefore, this study proposes an analytic hierarchy model for helping management to rank the ISEs affecting the IS implementation in SC, and measuring the success possibility for implementation. It uses analytical hierarchy process (AHP) and consistent fuzzy preference relationship (CFPR) approach to prioritise ISEs that support the IS implementation in supply chain (SC). Out of 18, top 12 ISEs were selected through nationwide questionnaire based survey on Indian manufacturing organisations. An empirical case of a gear manufacturing organisation is assessed by 12 specialists, six from case organisation, three each from suppliers and distributors. The results obtained through AHP and CFPR methodologies are compared with the result of questionnaire-based survey of Indian manufacturing organisations. If ISEs with higher priority weights are properly controlled during implementation than IS implementation in SC becomes more effective.

Keywords: supply chain management; SCM; information sharing; enablers; analytical hierarchy process; AHP; consistent fuzzy preference relationship; CFPR; case study; India; manufacturing industry; gear manufacturing; supply chain information.

DOI: 10.1504/IJBIR.2015.072492

International Journal of Business Innovation and Research, 2015 Vol.9 No.6, pp.698 - 730

Received: 11 Nov 2013
Accepted: 13 Feb 2014
Published online: 15 Oct 2015 *

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Title: Predicting the success possibility of information sharing implementation in supply chain

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