Promoting fashion customer relationship management dimensions based on customer tendency to outfit matching: Mining customer orientation and buying behaviour

被引:5
作者
Shokouhyar S. [1 ]
Shokoohyar S. [2 ]
Raja N. [1 ]
Gupta V. [2 ]
机构
[1] Department of Management and Accounting, Shahid Beheshti University, Tehran
[2] Erivan K. Haub School of Business, Saint Joseph's University, Philadelphia, 19131, PA
关键词
Analysis behaviour; CRM; Customer relationship management; Data mining; Fashion industry; Match up clothing;
D O I
10.1504/IJADS.2021.112932
中图分类号
学科分类号
摘要
The purpose of this study is to mining dimensions of customer relationship management (CRM) based on consumer tendency to outfit matching. Consumers are clustered into groups based on descriptive variables, consumer desire to outfit matching and customer relationship dimensions. According to the results of this research, female customers with the age 30 or younger, who have a bachelor degree and are single, are inspired to outfit matching and prefer customer involvement dimensions. Also, long-term partnership is the most significant dimensions of CRM for consumers who do not engage in outfit matching. Then, association rules were applied for extracting customer buying behaviour that influence customer tendency to outfit matching. These results can be useful for the fashion industry to apply more effective CRM systems and customise them with customer's preferences and behaviour analysis. Compared with traditional techniques, the data mining methods have great potential for investigating customers' preferences. Copyright © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:1 / 23
页数:22
相关论文
共 50 条
  • [21] Study of customer value assessing in retail enterprise based on Customer Relationship Management
    Gao Ying
    Xin Fengqin
    HUMAN RESOURCES MANAGEMENT IN THE KNOWLEDGE ECONOMY ERA, 2008, : 108 - 112
  • [22] Customer relationship management and Web mining: the next frontier
    Alexander Tuzhilin
    Data Mining and Knowledge Discovery, 2012, 24 : 584 - 612
  • [23] Study of stock customer relationship management model based on Data Mining
    Huang Feixue
    Li Zhijie
    Proceeding of the 2006 International Conference on Management of Logistics and Supply Chain, 2006, : 294 - 300
  • [24] An Integrated Customer Relationship Management and Data Mining Framework for Customer Classification and Risk Analysis in Health Sector
    Alsac, Ali
    Colak, Murat
    Keskin, Gulsen Aydin
    2017 6TH INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT (ICITM), 2017, : 41 - 46
  • [25] Customer Relationship Management based on Employees and Corporate Culture
    Triznova, Miroslava
    Mat'ova, Hana
    Dvoracek, Jan
    Sadek, Sarah
    4TH WORLD CONFERENCE ON BUSINESS, ECONOMICS AND MANAGEMENT (WCBEM-2015), 2015, 26 : 953 - 959
  • [26] Data Mining Techniques with Electronic Customer Relationship Management for Telecommunication Company
    Anaam, Elham Abdulwahab
    Magableh, Muhamad Naser Yousef
    Hamdi, Mohammed
    Hmoud, Aldeen Yousef Rashid
    Alshalabi, Hamood
    AMAZONIA INVESTIGA, 2021, 10 (48): : 288 - 304
  • [27] Data mining application in customer relationship management of credit card business
    Wu, RC
    Chen, RS
    Chang, CC
    Chen, JY
    Proceedings of the 29th Annual International Computer Software and Applications Conference, Workshops and Fast Abstracts, 2005, : 39 - 40
  • [28] The customer relationship management based on managerial cybernetics
    Wang, Jin
    Tang, Bingyong
    PROCEEDINGS OF THE 2007 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE AND SYSTEM DYNAMICS: SUSTAINABLE DEVELOPMENT AND COMPLEX SYSTEMS, VOLS 1-10, 2007, : 2075 - 2080
  • [29] How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer's Openness
    Baeumer, Frederik Simon
    Buff, Bianca
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2019, : 129 - 136
  • [30] Data Mining Application in Customer Relationship Management for Hospital Inpatients
    Lee, Eun Whan
    HEALTHCARE INFORMATICS RESEARCH, 2012, 18 (03) : 178 - 185