Resource-based supply chain positioning methodology
148 p.
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2010
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sg-ntu-dr.10356-361012023-03-11T17:01:24Z Resource-based supply chain positioning methodology Aung Bo Myint Lee Yong Tsui School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Supply chain 148 p. Understanding the sources of sustained competitive advantage has become a major area of research in strategic management. For the long term success of a firm, it must not only pay attention to its internal strength but also to the rapid changes in the marketplace. This research develops the methodology for resource-based supply chain positioning and applies it to two industry case studies with two SMEs in Singapore. Based on their feedbacks on the feasibility, usability and usefulness of the methodology, refinement is then made to the methodology. The final refined methodology can help the decision makers of firm in the industry to formulate their strategy based on both critical resources and significant activities to cope with the dynamic market changes. This methodology is intended to help SMEs in Singapore, which have various resource constraints to consider in order compete successfully in the marketplace. Nevertheless this methodology is also applicable for MNCs. Master of Science (Computer Integrated Manufacturing) 2010-04-23T02:28:09Z 2010-04-23T02:28:09Z 2006 2006 Thesis http://hdl.handle.net/10356/36101 application/pdf |
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DRNTU::Engineering::Industrial engineering::Supply chain Aung Bo Myint Resource-based supply chain positioning methodology |
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148 p. |
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Lee Yong Tsui |
author_facet |
Lee Yong Tsui Aung Bo Myint |
format |
Theses and Dissertations |
author |
Aung Bo Myint |
author_sort |
Aung Bo Myint |
title |
Resource-based supply chain positioning methodology |
title_short |
Resource-based supply chain positioning methodology |
title_full |
Resource-based supply chain positioning methodology |
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Resource-based supply chain positioning methodology |
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Resource-based supply chain positioning methodology |
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resource-based supply chain positioning methodology |
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2010 |
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http://hdl.handle.net/10356/36101 |
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1761781872701997056 |