Application of Bayesian Network for Prediction Behavior via Direct Observation of In-store Behavior
| Project/Area Number |
25780277
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Commerce
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| Research Institution | Nagoya University (2014-2015)
Kansai University (2013) |
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Principal Investigator |
Zuo Yi 名古屋大学, 未来社会創造機構, 助教 (70633684)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | RFIDデータ / 消費者の購買行為 / 消費者の滞在時間 / 退屈現象 / ベイジアンネットワーク / 購買退屈現象の抽出 / 非線形関係の判明 / 消費者の分類方法の提案 / 購買意思決定の閾値の分析 / 研究成果の実用化と論文化 / 仮説の提示と検証 / 店舗の実装 / 消費者行動のモデル化 / 成果の実用化 / 最優秀論文の受賞 / サービスターゲティングの明確化 / 販売促進効果の最大化 / 店舗レイアウトの最適化 / 国際研究者交流（オーストリア） / 国際情報交換(アメリカ) |
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| Outline of Final Research Achievements |
In strategic management of retail industry, the advanced investigation by using radio frequency identification (RFID) technology to capture customers' in-store behavior has been dramatically attracted scholars and practitioners in recent ages. In contrast to prior studies in this research field, this work has paid special attention to shopping time that customers spent in supermarket (so-called stay time), and presents methodological analysis into two folds. First, due to BN can estimate and predict in a nonlinear correlation between purchase intention and stay time, we examine a tedium effect on purchase behavior. During the customers wander in shopping, purchase intention represents a non-monotonic phenomena accounting for the long stay time. Second, we also investigate the sensitivity and specificity of purchase behavior predicted by our proposal in adjustment of decision threshold and implements several business decision-making implications in actual business situations.
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Report
(4 results)
Research Products
(19 results)
