A Knowledge Discovery from POS Data using State Space Models An Analysis of Change in Price Elasticities by New Product's Entry to Market
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- SATO Tadahiko
- Graduate School of Business Science, University of Tsukuba, Tokyo
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- HIGUCHI Tomoyuki
- Research Organization of Information and Systems The Institute of Statistical Mathematics
Bibliographic Information
- Other Title
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- POSデータの時系列モデリングによる知識発見 新製品投入の消費者価格反応変化に及ぼす影響の解析
- POS データ ノ ジケイレツ モデリング ニ ヨル チシキ ハッケン シンセイヒン トウニュウ ノ ショウヒシャ カカク ハンノウ ヘンカ ニ オヨボス エイキョウ ノ カイセキ
- An Analysis of Change in Price Elasticities by New Product's Entry to Market
- 新製品投入の消費者価格反応変化に及ぼす影響の解析
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Description
The number of competing-brands changes by new product's entry. The new product introduction is endemic among consumer packaged goods firm and is an integral component of their marketing strategy. As a new product's entry affects markets, there is a pressing need to develop market response model that can adapt to such changes. In this paper, we develop a dynamic model that capture the underlying evolution of the buying behavior associated with the new product. This extends an application of a dynamic linear model, which is used by a number of time series analyses, by allowing the observed dimension to change at some point in time. Our model copes with a problem that dynamic environments entail: changes in parameter over time and changes in the observed dimension. We formulate the model with framework of a state space model. We realize an estimation of the model using modified Kalman filter/fixed interval smoother. We find that new product's entry (1) decreases brand differentiation for existing brands, as indicated by decreasing difference between cross-price elasticities; (2) decreases commodity power for existing brands, as indicated by decreasing trend; and (3) decreases the effect of discount for existing brands, as indicated by a decrease in the magnitude of own-brand price elasticities. The proposed framework is directly applicable to other fields in which the observed dimension might be change, such as economic, bioinformatics, and so forth.
Journal
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 22 (2), 200-208, 2007
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390282680084889088
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- NII Article ID
- 10022007388
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- NII Book ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL BIB ID
- 9603335
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed