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Assessing the impact of recommender agents on on-line consumer unplanned purchase behavior

Authors:

R. Eric Hostler,

Victoria Y. Yoon,

Guisseppi ForgionneAuthors Info & Claims

Information and Management, Volume 48, Issue 8

Pages 336 - 343

https://doi.org/10.1016/j.im.2011.08.002

Published: 01 December 2011 Publication History

Abstract

Recommendation agents (RAs) have been used by many Internet businesses such as Amazon and Netflix. However, few authors have studied how consumer behavior is affected by those that make suggestions to online consumers based on their recent shopping behavior. Fewer still have examined the role that RAs play in influencing impulse purchasing decisions online. Our study developed a theoretical model to illustrate the impact of RAs on online consumer behavior. The model was tested through an online shopping simulation which used a collaborative filtering based product RA. Particular attention was paid to the effects of an RA on consumer behavior; we found that it increased promotion and product search effectiveness, user satisfaction with the website, and unplanned purchases. Results showed that our model provided insights into the impact of an RA on online consumer behavior and thus provided suggestions for implementing effective systems.

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Cited By

Satinet CFouss FSaerens MLeleux P(2024)In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendationsElectronic Commerce Research and Applications10.1016/j.elerap.2024.10143367:COnline publication date: 1-Sep-2024
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https://dl.acm.org/doi/10.1145/3604383.3604394
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cover image Information and Management

Information and Management Volume 48, Issue 8

December, 2011

100 pages

ISSN:0378-7206

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2011.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 December 2011

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Cited By

Satinet CFouss FSaerens MLeleux P(2024)In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendationsElectronic Commerce Research and Applications10.1016/j.elerap.2024.10143367:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.elerap.2024.101433
Wu WYang QGong X(2024)Impulsive Social Shopping in Social Commerce Platforms: The Role of Perceived ProximityInformation Systems Frontiers10.1007/s10796-023-10416-326:4(1527-1541)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10796-023-10416-3
Guo STocquer G(2023)Customer Experience and Mobile Application DesignProceedings of the 2023 3rd International Conference on Human Machine Interaction10.1145/3604383.3604394(58-64)Online publication date: 26-May-2023
https://dl.acm.org/doi/10.1145/3604383.3604394
Rohden SZeferino D(2022)Recommendation agents: an analysis of consumers’ risk perceptions toward artificial intelligenceElectronic Commerce Research10.1007/s10660-022-09626-923:4(2035-2050)Online publication date: 3-Dec-2022
https://dl.acm.org/doi/10.1007/s10660-022-09626-9
Kargar MLin Z(2021)A socially motivating and environmentally friendly tour recommendation framework for tourist groupsExpert Systems with Applications: An International Journal10.1016/j.eswa.2021.115083180:COnline publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1016/j.eswa.2021.115083
Prabowo HAlversia Y(2020)The Influence of Value and Browsing Activity on Impulse Buying Behavior Moderated by Source of Online Review Case Study: Food and Beverage Products on InstagramProceedings of the 4th International Conference on E-Commerce, E-Business and E-Government10.1145/3409929.3414745(103-108)Online publication date: 17-Jun-2020
https://dl.acm.org/doi/10.1145/3409929.3414745
Yang KSong YWu CYang PWang C(2020)An Exploratory Study of the Promotion Effectiveness of Recommender SystemsProceedings of the 2020 the 3rd International Conference on Computers in Management and Business10.1145/3383845.3383850(135-140)Online publication date: 31-Jan-2020
https://dl.acm.org/doi/10.1145/3383845.3383850
Moser CSchoenebeck SResnick PBrewster SFitzpatrick GCox AKostakos V(2019)Impulse BuyingProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300472(1-15)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300472
Bag SKumar SAwasthi ATiwari M(2019)A noise correction-based approach to support a recommender system in a highly sparse rating environmentDecision Support Systems10.1016/j.dss.2019.01.001118:C(46-57)Online publication date: 1-Mar-2019
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Hossain MDwivedi YChan CStanding COlanrewaju A(2018)Sharing Political Content in Online Social MediaInformation Systems Frontiers10.1007/s10796-017-9820-920:3(485-501)Online publication date: 1-Jun-2018
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