A comparison shopping optimization model based on suppliers' pricing contexts

Yong Sik Chang; Kyoung Jun Lee

doi:10.1016/j.eswa.2010.02.036

A comparison shopping optimization model based on suppliers' pricing contexts

Yong Sik Chang
, Kyoung Jun Lee

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

6 Citations (Scopus)

Abstract

Consumers in the online shopping environment have had difficulties in selecting an optimal supplier. This is caused by the fact that current comparison shopping services have limitations in considering supplier's various pricing strategies. Current Comparison Shopping Model (CSM) including these limitations may enable online consumers to select a non-optimal supplier. To overcome these problems, we proposed a Comparison Shopping Optimization Model based on Suppliers' Pricing Contexts (CSOM-SPC), which gives online consumers effective price-sorted suppliers. Through illustrative experimentation and paired t-test, we show that CSOM-SPC provides more realistic and effective comparison prices compared with current CSM.

Original language	English
Pages (from-to)	5736-5744
Number of pages	9
Journal	Expert Systems with Applications
Volume	37
Issue number	8
DOIs	https://doi.org/10.1016/j.eswa.2010.02.036
Publication status	Published - Aug 2010

Bibliographical note

Funding Information:
This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2006-332-B00098) (Yong Sik Chang) and by the Kyung Hee University Research Fund in 2008 (Kyoung Jun Lee).

Keywords

Comparison shopping
Online shopping
Optimization model
Pricing contexts

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10.1016/j.eswa.2010.02.036

Cite this

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title = "A comparison shopping optimization model based on suppliers' pricing contexts",

abstract = "Consumers in the online shopping environment have had difficulties in selecting an optimal supplier. This is caused by the fact that current comparison shopping services have limitations in considering supplier's various pricing strategies. Current Comparison Shopping Model (CSM) including these limitations may enable online consumers to select a non-optimal supplier. To overcome these problems, we proposed a Comparison Shopping Optimization Model based on Suppliers' Pricing Contexts (CSOM-SPC), which gives online consumers effective price-sorted suppliers. Through illustrative experimentation and paired t-test, we show that CSOM-SPC provides more realistic and effective comparison prices compared with current CSM.",

keywords = "Comparison shopping, Online shopping, Optimization model, Pricing contexts",

author = "Chang, \{Yong Sik\} and Lee, \{Kyoung Jun\}",

note = "Funding Information: This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2006-332-B00098) (Yong Sik Chang) and by the Kyung Hee University Research Fund in 2008 (Kyoung Jun Lee).",

year = "2010",

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doi = "10.1016/j.eswa.2010.02.036",

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AU - Lee, Kyoung Jun

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AB - Consumers in the online shopping environment have had difficulties in selecting an optimal supplier. This is caused by the fact that current comparison shopping services have limitations in considering supplier's various pricing strategies. Current Comparison Shopping Model (CSM) including these limitations may enable online consumers to select a non-optimal supplier. To overcome these problems, we proposed a Comparison Shopping Optimization Model based on Suppliers' Pricing Contexts (CSOM-SPC), which gives online consumers effective price-sorted suppliers. Through illustrative experimentation and paired t-test, we show that CSOM-SPC provides more realistic and effective comparison prices compared with current CSM.

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KW - Online shopping

KW - Optimization model

KW - Pricing contexts

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DO - 10.1016/j.eswa.2010.02.036

M3 - Article

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EP - 5744

JO - Expert Systems with Applications

JF - Expert Systems with Applications

IS - 8

ER -

A comparison shopping optimization model based on suppliers' pricing contexts

Abstract

Bibliographical note

Keywords

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