Dynamic Analysis of the Second-hand Luxury Goods Market in an E-commerce Context: A Network Motif and Time-series Perspective

• Item type: Journal(1)
• 公開日: 2025-01-15
• タイトル: Dynamic Analysis of the Second-hand Luxury Goods Market in an E-commerce Context: A Network Motif and Time-series Perspective
• タイトル / 言語: en
• タイトル: Dynamic Analysis of the Second-hand Luxury Goods Market in an E-commerce Context: A Network Motif and Time-series Perspective
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集:人々の幸福で豊かな暮らしを支えるコラボレーション技術とネットワークサービス] second-hand luxury goods, network motif analysis, e-commerce, return on investment
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Creative Science and Engineering, Waseda University
• 著者所属: Graduate School of Information, Production, and Systems, Waseda University
• 著者所属: Graduate School of Creative Science and Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Creative Science and Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information, Production, and Systems, Waseda University
• 著者所属(英): en
• 著者所属(英): Graduate School of Creative Science and Engineering, Waseda University
• 著者名: Tengfei, Shao; Yuya, Ieiri; Shingo, Takahashi
• 著者名(英): Tengfei, Shao; Yuya, Ieiri; Shingo, Takahashi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: This study introduces a groundbreaking Motif and Time-Based Analysis Model to unravel the intricate dynamics within the e-commerce second-hand luxury goods market. By meticulously analyzing transactional data through the lens of network motifs and temporal patterns, our model unveils distinct consumer behaviors and market trends that traditional analyses often overlook. We focus on the evolving e-commerce model's impact on luxury goods transactions, highlighting the pivotal role of Return on Investment as an essential metric for assessing market efficacy. Utilizing e-commerce data collected in collaboration with leading companies, we identify statistically significant network motifs that reflect complex interaction patterns between consumers and goods. Our novel algorithm efficiently mines these motifs despite multiple constraints, offering new insights into transactional networks. Through rigorous statistical validation, our findings demonstrate the model's effectiveness in capturing the market's multifaceted nature. The study not only contributes to our understanding of the second-hand luxury goods market's dynamics but also provides actionable strategies for businesses aiming to enhance consumer experiences and market trend forecasting.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.33(2025) (online); DOI http://dx.doi.org/10.2197/ipsjjip.33.9; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This study introduces a groundbreaking Motif and Time-Based Analysis Model to unravel the intricate dynamics within the e-commerce second-hand luxury goods market. By meticulously analyzing transactional data through the lens of network motifs and temporal patterns, our model unveils distinct consumer behaviors and market trends that traditional analyses often overlook. We focus on the evolving e-commerce model's impact on luxury goods transactions, highlighting the pivotal role of Return on Investment as an essential metric for assessing market efficacy. Utilizing e-commerce data collected in collaboration with leading companies, we identify statistically significant network motifs that reflect complex interaction patterns between consumers and goods. Our novel algorithm efficiently mines these motifs despite multiple constraints, offering new insights into transactional networks. Through rigorous statistical validation, our findings demonstrate the model's effectiveness in capturing the market's multifaceted nature. The study not only contributes to our understanding of the second-hand luxury goods market's dynamics but also provides actionable strategies for businesses aiming to enhance consumer experiences and market trend forecasting.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.33(2025) (online); DOI http://dx.doi.org/10.2197/ipsjjip.33.9; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 66, 号 1, 発行日 2025-01-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会