Behavior scoring model for coalition loyalty programs by using summary variables of transaction data

Moo Yeob Lee; Ann Sung Lee; So Young Sohn

doi:10.1016/j.eswa.2012.08.073

Behavior scoring model for coalition loyalty programs by using summary variables of transaction data

Moo Yeob Lee, Ann Sung Lee, So Young Sohn

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition transaction data. This information is then utilized to develop a behavior-scoring model. We expect that our study results can contribute to big data analysis for coalition loyalty program.

Original language	English
Pages (from-to)	1564-1570
Number of pages	7
Journal	Expert Systems with Applications
Volume	40
Issue number	5
DOIs	https://doi.org/10.1016/j.eswa.2012.08.073
Publication status	Published - 2013 Apr

Bibliographical note

Funding Information:
This work was financially supported by the Ministry of Knowledge Economy (MKE) and Korea Institute for Advancement in Technology (KIAT) through the Workforce Development Program in Strategic Technology.

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2012.08.073

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title = "Behavior scoring model for coalition loyalty programs by using summary variables of transaction data",

abstract = "OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition transaction data. This information is then utilized to develop a behavior-scoring model. We expect that our study results can contribute to big data analysis for coalition loyalty program.",

author = "Lee, {Moo Yeob} and Lee, {Ann Sung} and Sohn, {So Young}",

note = "Funding Information: This work was financially supported by the Ministry of Knowledge Economy (MKE) and Korea Institute for Advancement in Technology (KIAT) through the Workforce Development Program in Strategic Technology. ",

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AU - Sohn, So Young

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AB - OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition transaction data. This information is then utilized to develop a behavior-scoring model. We expect that our study results can contribute to big data analysis for coalition loyalty program.

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Behavior scoring model for coalition loyalty programs by using summary variables of transaction data

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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