Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2011
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.
Keywords
Recommendation agent, Consumer purchase, Unplanned purchase, Online consumer behavior, E-commerce, Website user satisfaction
Discipline
Computer Sciences | Management Information Systems
Research Areas
Information Systems and Management
Publication
Information & Management
Volume
48
Issue
8
First Page
336
Last Page
343
ISSN
0378-7206
Identifier
10.1016/j.im.2011.08.002
Publisher
Elsevier
Citation
HOSTLER, R. Eric; YOON, Victoria Y.; GUO, Zhiling; GUIMARAES, Tor; and FORGIONNE, Guisseppi.
Assessing the Impact of Recommendation Agents on On-line Consumer Unplanned Purchase Behavior. (2011). Information & Management. 48, (8), 336-343.
Available at: https://ink.library.smu.edu.sg/sis_research/1859
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.im.2011.08.002