Discovering Multiple Clusters of Second-Hand Luxury Goods for Profit Improvement Using Network Motif

Tengfei Shao*, Fumitoshi Teraoka, Keiji Ishizaki, Reiko Hishiyama

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The used luxury goods market has great economic benefits and research significance. Many precedence studies investigate the second-hand luxury goods market, but few studies focus on how to help second-hand luxury goods suppliers improve their profit. Therefore, based on network analysis, this study proposes an analysis model that can discover multiple clusters of second-hand luxury goods. And these multiple clusters of second-hand luxury goods have the potential to be used to increase the profitability of second-hand luxury goods suppliers. We successfully discovered multiple clusters of second-hand luxury goods using data provided by a Japanese second-hand luxury goods supplier. Then, we statistically validated these discovered multiple clusters of second-hand luxury goods. Finally, we suggest some sales strategies for the provider based on discovered multiple clusters of second-hand luxury goods.

Original languageEnglish
Title of host publicationInformation Systems and Technologies - WorldCIST 2022
EditorsAlvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira
PublisherSpringer Science and Business Media Deutschland GmbH
Pages438-448
Number of pages11
ISBN (Print)9783031048289
DOIs
Publication statusPublished - 2022
Event10th World Conference on Information Systems and Technologies, WorldCIST 2022 - Budva, Montenegro
Duration: 2022 Apr 122022 Apr 14

Publication series

NameLecture Notes in Networks and Systems
Volume470 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference10th World Conference on Information Systems and Technologies, WorldCIST 2022
Country/TerritoryMontenegro
CityBudva
Period22/4/1222/4/14

Keywords

  • Multiple clusters of second-hand luxury goods
  • Network analysis
  • Profit improvement

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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