Al-Hakim, Latif (2005) Modelling interdependencies for electronic supply chain management. In: IRMA 2005: Managing Modern Organisations With Information Technology, 15-18 May 2005, San Diego, USA.
Abstract
Today's managers are turning to the functions of the supply chain to improve margins and gain competitive advantage. The explosion of the Internet and other e-business technologies has made real-time, on-line communication throughout the entire supply chain a reality. Electronic
supply chain management (eSCM) is a reference to the supply chain that is structured via electronic technology-enabled relationships. This research concentrates on the development of procedure for modelling interdependencies within the eSCM environment. The procedure focuses on process mapping and relies on principles of coordination
theory. It is based on SCOR to standardise the process and take advantages of this techniques of benchmarking/best practices potential. The procedure employs IDEF0 technique for mapping the processes.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to paper due to publisher copyright restrictions. See the Website location above for details. Print copy not to be ordered for USQ Library. ISBN 1591408229 (print version). |
| Faculty/School / Institute/Centre: | Historic - Faculty of Business - Department of Management and Organisational Behaviour (Up to 31 Mar 2007) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Business - Department of Management and Organisational Behaviour (Up to 31 Mar 2007) |
| Date Deposited: | 11 Oct 2007 00:16 |
| Last Modified: | 08 Jun 2016 06:04 |
| Uncontrolled Keywords: | electronic supply chain management (eSCM); modelling interdependencies; process mapping; SCOR model; IDEF0 technique |
| Fields of Research (2008): | 15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150312 Organisational Planning and Management |
| URI: | http://eprints.usq.edu.au/id/eprint/195 |
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