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

DOI Web Site Web Site 被引用文献1件 参考文献17件 オープンアクセス

書誌事項

タイトル別名
  • A Knowledge Discovery from POS Data using State Space Models An Analysis of Change in Price Elasticities by New Product's Entry to Market
  • 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

この論文をさがす

説明

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.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (17)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ