Classification of Information on Websites and Perceived Risk in Online Transactions

From the perspective of information management and strategy, we spotlight contents of information on the web to solve the problem of perceived risk in online transaction. IT increased the volume of information we acquire, and the volume of information that exceeds human’s processing ability has caus...

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Main Author: Miho NOJIMA
Format: Article
Language:English
Published: Global Business Research Center 2004-07-01
Series:Annals of Business Administrative Science
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/abas/3/3/3_25/_pdf/-char/en
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author Miho NOJIMA
author_facet Miho NOJIMA
author_sort Miho NOJIMA
collection DOAJ
description From the perspective of information management and strategy, we spotlight contents of information on the web to solve the problem of perceived risk in online transaction. IT increased the volume of information we acquire, and the volume of information that exceeds human’s processing ability has caused perceived risk in online transaction. We attempt to explore the information selection model to solve the problem of the reduction in perceived risk and conduct consumer survey. The empirical study shows that consumers classify information on the web in four types; detailed information, evaluation information of experts and mass media, evaluation information of consumers, and evaluation information in real world. This classification means that consumers think important by whom goods quality and shops sincerity are evaluated. The concept of risk-reducing information and the information classification model from the standpoint of consumers will become the first step of the search on information selection model in the information flood age.
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spelling doaj.art-ede1ed3419e24005be318bb6cba4416d2022-12-21T18:36:10ZengGlobal Business Research CenterAnnals of Business Administrative Science1347-44641347-44562004-07-0133253410.7880/abas.3.25abasClassification of Information on Websites and Perceived Risk in Online TransactionsMiho NOJIMA0Faculty of Economics, Seikei UniversityFrom the perspective of information management and strategy, we spotlight contents of information on the web to solve the problem of perceived risk in online transaction. IT increased the volume of information we acquire, and the volume of information that exceeds human’s processing ability has caused perceived risk in online transaction. We attempt to explore the information selection model to solve the problem of the reduction in perceived risk and conduct consumer survey. The empirical study shows that consumers classify information on the web in four types; detailed information, evaluation information of experts and mass media, evaluation information of consumers, and evaluation information in real world. This classification means that consumers think important by whom goods quality and shops sincerity are evaluated. The concept of risk-reducing information and the information classification model from the standpoint of consumers will become the first step of the search on information selection model in the information flood age.https://www.jstage.jst.go.jp/article/abas/3/3/3_25/_pdf/-char/enonline retailerperceived riskclick & mortarempirical studyjapan
spellingShingle Miho NOJIMA
Classification of Information on Websites and Perceived Risk in Online Transactions
Annals of Business Administrative Science
online retailer
perceived risk
click & mortar
empirical study
japan
title Classification of Information on Websites and Perceived Risk in Online Transactions
title_full Classification of Information on Websites and Perceived Risk in Online Transactions
title_fullStr Classification of Information on Websites and Perceived Risk in Online Transactions
title_full_unstemmed Classification of Information on Websites and Perceived Risk in Online Transactions
title_short Classification of Information on Websites and Perceived Risk in Online Transactions
title_sort classification of information on websites and perceived risk in online transactions
topic online retailer
perceived risk
click & mortar
empirical study
japan
url https://www.jstage.jst.go.jp/article/abas/3/3/3_25/_pdf/-char/en
work_keys_str_mv AT mihonojima classificationofinformationonwebsitesandperceivedriskinonlinetransactions