B2B collaboration method through trust values for e-supply chain integrator: a case study of Malaysian construction industry

Norshakirah Ab.Aziz; Rohiza Ahmad; Dominic Dhanapal Durai

doi:10.1117/12.920549

13 January 2012 B2B collaboration method through trust values for e-supply chain integrator: a case study of Malaysian construction industry

Norshakirah Ab.Aziz, Rohiza Ahmad, Dominic Dhanapal Durai

Author Affiliations +

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 835031 (2012) https://doi.org/10.1117/12.920549
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Limited trust, cooperation and communication have been identified as some of the issues that hinder collaboration among business partners. These one also true in the acceptance of e-supply chain integrator among organizations that involve in the same industry. On top of that, the huge number of components in supply chain industry also makes it impossible to include entire supply chain components in the integrator. Hence, this study intends to propose a method for identifying "trusted" collaborators for inclusion into an e-supply chain integrator. For the purpose of constructing and validating the method, the Malaysian construction industry is chosen as the case study due to its size and importance to the economy. This paper puts forward the background of the research, some relevant literatures which lead to trust values elements formulation, data collection from Malaysian Construction Supply Chain and a glimpse of the proposed method for trusted partner selection. Future work is also presented to highlight the next step of this research.

Citation Download Citation

Norshakirah Ab.Aziz, Rohiza Ahmad, and Dominic Dhanapal Durai "B2B collaboration method through trust values for e-supply chain integrator: a case study of Malaysian construction industry", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835031 (13 January 2012); https://doi.org/10.1117/12.920549

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