Economics at your fingertips  

Latent Variable Models for Integrated Analysis of Credit and Point Usage History Data on Rewards Credit Card System

Ryotaro Shimizu, Haruka Yamashita, Masao Ueda, Ranna Tanaka, Tetsuya Tachibana and Masayuki Goto

International Business Research, 2020, vol. 13, issue 3, 106

Abstract: Recently, credit cards with point rewards functions (rewards credit cards) are widely used. Credit card companies can collect the users’ usage log data of various stores in multiple industries. The purposes of possessing a credit card varies depending on each user such as to use only the credit function, to use both the credit and point rewards functions, etc. Moreover, credit cards can be used in various situations in users’ lives, and the purchase history of each user is diverse. Focusing on the diversity of both card possessing purposes and purchasing behavior for each user, we propose two latent class models representing these diversities in this research.

JEL-codes: R00 Z0 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf) (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in International Business Research from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

Page updated 2020-03-28
Handle: RePEc:ibn:ibrjnl:v:13:y:2020:i:3:p:106