Assessing the Impact of Recommendation Agents on On-line Consumer Unplanned Purchase Behavior
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.
Recommendation agent, Consumer purchase, Unplanned purchase, Online consumer behavior, E-commerce, Website user satisfaction
Computer Sciences | Management Information Systems
Information Systems and Management
Information & Management
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1859