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Application of Bayesian Network for Prediction Behavior via Direct Observation of In-store Behavior

Research Project

Project/Area Number 25780277
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Commerce
Research InstitutionNagoya University (2014-2015)
Kansai University (2013)

Principal Investigator

Zuo Yi  名古屋大学, 未来社会創造機構, 助教 (70633684)

Project Period (FY) 2013-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
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)
KeywordsRFID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)
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.

Report

(4 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (19 results)

All 2016 2015 2014 2013 Other

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Acknowledgement Compliant: 3 results,  Open Access: 1 results) Presentation (5 results) (of which Int'l Joint Research: 1 results) Remarks (11 results)

  • [Journal Article] Prediction of consumer purchase behaviour using Bayesian network: an operational improvement and new results based on RFID data2016

    • Author(s)
      Yi Zuo
    • Journal Title

      International Journal of Knowledge Engineering and Soft Data Paradigms

      Volume: 5 Issue: 2 Pages: 85-105

    • DOI

      10.1504/ijkesdp.2016.075976

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior2016

    • Author(s)
      Yi Zuo, Katsutoshi Yada, Eisuke Kita
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 9509 Pages: 61-75

    • DOI

      10.1007/978-3-319-28379-1_5

    • ISBN
      9783319283784, 9783319283791
    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Consumer Purchasing Behavior Extraction Using Statistical Learning Theory2014

    • Author(s)
      Yi Zuo, A.B.M. Shawkat Ali, Katsutoshi Yada
    • Journal Title

      Procedia Computer Science

      Volume: 35 Pages: 1464-1473

    • DOI

      10.1016/j.procs.2014.08.209

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] Using Statistical Learning Theory for Purchase Behavior Prediction via Direct Observation of In-store Behavior2015

    • Author(s)
      Yi Zuo, Katsutoshi Yada
    • Organizer
      IEEE APWC on CSE 2015
    • Place of Presentation
      フィジー
    • Year and Date
      2015-12-02
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning技術の研究動向と消費者行動への応用2014

    • Author(s)
      左毅,矢田勝俊
    • Organizer
      3rd RISS Seminar Series on Data Science
    • Place of Presentation
      関西大学,大阪
    • Year and Date
      2014-11-29
    • Related Report
      2014 Research-status Report
  • [Presentation] Consumer Purchasing Behavior Extraction Using Statistical Learning Theory2014

    • Author(s)
      左毅,A B M Shawkat Ali,矢田勝俊
    • Organizer
      18th International Conference in KES 2014
    • Place of Presentation
      グディニャ,ポーランド
    • Related Report
      2013 Research-status Report
  • [Presentation] Using Bayesian Network for Purchase Behavior Prediction from RFID Data2014

    • Author(s)
      左毅,矢田勝俊
    • Organizer
      IEEE International Conference on SMC 2014
    • Place of Presentation
      サンディエゴ,アメリカ
    • Related Report
      2013 Research-status Report
  • [Presentation] Application of Bayesian Network Sheds Light on Purchase Decision Process basing on RFID Technology2013

    • Author(s)
      左毅,矢田勝俊
    • Organizer
      IEEE 13th ICDM 2013
    • Place of Presentation
      ダラス,アメリカ
    • Related Report
      2013 Research-status Report
  • [Remarks] 国際会議IEEE APWC on CSE 2015の報告

    • URL

      http://www2.kansai-u.ac.jp/dslab/notice/APWC2015b.html

    • Related Report
      2015 Annual Research Report
  • [Remarks] 消費者店内行動の可視化

    • URL

      https://drive.google.com/open?id=0B_Be-GZxrBaiRGxUUm0yeVpWXzQ

    • Related Report
      2015 Annual Research Report
  • [Remarks] 17th International Conference in KES2014

    • URL

      http://kes2014.kesinternational.org/

    • Related Report
      2014 Research-status Report
  • [Remarks] IEEE International Conference in SMC2014

    • URL

      http://smc2014.org/

    • Related Report
      2014 Research-status Report
  • [Remarks] 3rd RISS Seminar Series on Data Science

    • URL

      http://www.kansai-u.ac.jp/riss/research/riss_lecture.html

    • Related Report
      2014 Research-status Report
  • [Remarks] 4th RISS Seminar Series on Data Science

    • URL

      http://www.kansai-u.ac.jp/riss/research/riss_lecture.html

    • Related Report
      2014 Research-status Report
  • [Remarks] 1st Data Science International Workshop

    • URL

      http://www2.ipcku.kansai-u.ac.jp/~yada/workshop2015.html

    • Related Report
      2014 Research-status Report
  • [Remarks] DMラボ 沖縄研究会

    • URL

      http://www2.itc.kansai-u.ac.jp/~yada/schedule/2013/05/dm_20.html

    • Related Report
      2013 Research-status Report
  • [Remarks] 国際会議IEEE 13th ICDM2013

    • URL

      https://www.facebook.com/media/set/?set=a.504003606380470.1073741831.184095281704639&type=1

    • Related Report
      2013 Research-status Report
  • [Remarks] 招へい研究者による講演会

    • URL

      http://www2.itc.kansai-u.ac.jp/~yada/schedule/2013/12/dm_21.html

    • Related Report
      2013 Research-status Report
  • [Remarks] ニューヨークにてDMラボ研究会及びワークショップ

    • URL

      http://www2.itc.kansai-u.ac.jp/~yada/schedule/2014/03/dm_23.html

    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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