Supplier Network Intelligence Collection Framework
This paper proposes the use of an integrated information retrieval framework (IIRF) to facilitate the collection of critical information of a manufacturer’s supply network. It explores the requirements for a sustainable survival of manufacturers by aligning information among the entities within a su...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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Maastricht University
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/28473 |
| _version_ | 1848752546563227648 |
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| author | Jeeva, Ananda Zhu, Dengya |
| author2 | Frank Rozemeijer |
| author_facet | Frank Rozemeijer Jeeva, Ananda Zhu, Dengya |
| author_sort | Jeeva, Ananda |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper proposes the use of an integrated information retrieval framework (IIRF) to facilitate the collection of critical information of a manufacturer’s supply network. It explores the requirements for a sustainable survival of manufacturers by aligning information among the entities within a supply network. It proposes that manufacturers must have accurate and current information and data of their prime suppliers of critical components. Current research and literature search indicates there are very little publications investigating supplier intelligence in the context of the supply network like suppliers’ supplier’s financial health in terms of capital investment, debt, market performance, financial reporting, accounting practices, corporate governance, competitive factors and operating environment. This paper proposes a data gathering model for collating supplier intelligence from the internet and commonly available online sources. The impetus for such information is becoming more critical in a supply network. Supplier intelligence enables long term procurement strategies with greater certainty. |
| first_indexed | 2025-11-14T08:10:20Z |
| format | Conference Paper |
| id | curtin-20.500.11937-28473 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:10:20Z |
| publishDate | 2011 |
| publisher | Maastricht University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-284732023-01-27T05:26:33Z Supplier Network Intelligence Collection Framework Jeeva, Ananda Zhu, Dengya Frank Rozemeijer Martin Wetzels Lieven Quintens data mining model information retrieval supplier intelligence This paper proposes the use of an integrated information retrieval framework (IIRF) to facilitate the collection of critical information of a manufacturer’s supply network. It explores the requirements for a sustainable survival of manufacturers by aligning information among the entities within a supply network. It proposes that manufacturers must have accurate and current information and data of their prime suppliers of critical components. Current research and literature search indicates there are very little publications investigating supplier intelligence in the context of the supply network like suppliers’ supplier’s financial health in terms of capital investment, debt, market performance, financial reporting, accounting practices, corporate governance, competitive factors and operating environment. This paper proposes a data gathering model for collating supplier intelligence from the internet and commonly available online sources. The impetus for such information is becoming more critical in a supply network. Supplier intelligence enables long term procurement strategies with greater certainty. 2011 Conference Paper http://hdl.handle.net/20.500.11937/28473 Maastricht University fulltext |
| spellingShingle | data mining model information retrieval supplier intelligence Jeeva, Ananda Zhu, Dengya Supplier Network Intelligence Collection Framework |
| title | Supplier Network Intelligence Collection Framework |
| title_full | Supplier Network Intelligence Collection Framework |
| title_fullStr | Supplier Network Intelligence Collection Framework |
| title_full_unstemmed | Supplier Network Intelligence Collection Framework |
| title_short | Supplier Network Intelligence Collection Framework |
| title_sort | supplier network intelligence collection framework |
| topic | data mining model information retrieval supplier intelligence |
| url | http://hdl.handle.net/20.500.11937/28473 |