Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions
Efficient decisions along the supply chain have traditionally demanded sophisticated information sharing processes. Even with decades of research on theoretical and practical developments on integrating systems and stakeholders, in practice, we still seem to struggle to achieve full transparency and...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/8383 |
| _version_ | 1848745642457825280 |
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| author | Wood, Lincoln Reiners, Torsten Srivastava, H. |
| author_facet | Wood, Lincoln Reiners, Torsten Srivastava, H. |
| author_sort | Wood, Lincoln |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Efficient decisions along the supply chain have traditionally demanded sophisticated information sharing processes. Even with decades of research on theoretical and practical developments on integrating systems and stakeholders, in practice, we still seem to struggle to achieve full transparency and mitigate inefficiency challenges. We explore the emerging sentiment analysis technique to augment sales and operations planning (S&OP) with currently unavailable exogenous information. Even though sentiment analysis has gained traction, a comprehensive application in supply chains has not yet been attempted. Relevant topics are reviewed to allow an examination of the key relationships in a process framework, grounded in dual-process and bullwhip effect theory. Our proposed conceptual framework extends our conception of sentiment analysis integration to improve supply chain decisions and performance. The framework addresses managers interested in developing additional analytical capabilities and researchers to initiate further empirical research on the potential held by sentiment analysis in supply chain research. |
| first_indexed | 2025-11-14T06:20:36Z |
| format | Journal Article |
| id | curtin-20.500.11937-8383 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:20:36Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-83832018-03-05T05:29:33Z Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions Wood, Lincoln Reiners, Torsten Srivastava, H. Efficient decisions along the supply chain have traditionally demanded sophisticated information sharing processes. Even with decades of research on theoretical and practical developments on integrating systems and stakeholders, in practice, we still seem to struggle to achieve full transparency and mitigate inefficiency challenges. We explore the emerging sentiment analysis technique to augment sales and operations planning (S&OP) with currently unavailable exogenous information. Even though sentiment analysis has gained traction, a comprehensive application in supply chains has not yet been attempted. Relevant topics are reviewed to allow an examination of the key relationships in a process framework, grounded in dual-process and bullwhip effect theory. Our proposed conceptual framework extends our conception of sentiment analysis integration to improve supply chain decisions and performance. The framework addresses managers interested in developing additional analytical capabilities and researchers to initiate further empirical research on the potential held by sentiment analysis in supply chain research. 2016 Journal Article http://hdl.handle.net/20.500.11937/8383 10.1080/13675567.2016.1267126 fulltext |
| spellingShingle | Wood, Lincoln Reiners, Torsten Srivastava, H. Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title | Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title_full | Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title_fullStr | Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title_full_unstemmed | Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title_short | Think Exogenous to Excel: Alternative Supply Chain Data to Improve Transparency and Decisions |
| title_sort | think exogenous to excel: alternative supply chain data to improve transparency and decisions |
| url | http://hdl.handle.net/20.500.11937/8383 |