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A Bayesian approach to developing a strategic early warning system for the French milk market
Journal of Intelligence Studies in Business
View Archive Info| Field | Value | |
| Title |
A Bayesian approach to developing a strategic early warning system for the French milk market
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| Creator |
Bisson, Christophe
Gurpinar, Furkan |
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| Subject |
Business Intelligence, Intelligence Studies
Bayesian networks, competitive intelligence, forecasting, milk market, strategic early warning system |
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| Description |
A new approach is provided in our paper for creating a strategic early warningsystem allowing the estimation of the future state of the milk market as scenarios. This is inline with the recent call from the EU commission for tools that help to better address such ahighly volatile market. We applied different multivariate time series regression and Bayesiannetworks on a pre-determined map of relations between macro-economic indicators. Theevaluation of our findings with root mean square error (RMSE) performance score enhancesthe robustness of the prediction model constructed. Our model could be used by competitiveintelligence teams to obtain sharper scenarios, leading companies and public organisations tobetter anticipate market changes and make more robust decisions.
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| Publisher |
Journal of Intelligence Studies in Business
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| Contributor |
—
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| Date |
2017-11-30
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — Empirical |
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| Format |
application/pdf
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| Identifier |
https://ojs.hh.se/index.php/JISIB/article/view/277
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| Source |
Journal of Intelligence Studies in Business; Vol 7, No 3 (2017): Journal of Intelligence Studies in Business
2001-015X 2001-0168 |
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| Language |
eng
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| Relation |
https://ojs.hh.se/index.php/JISIB/article/view/277/176
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| Rights |
Copyright (c) 2017 Journal of Intelligence Studies in Business
http://creativecommons.org/licenses/by-nc-nd/4.0 |
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