Assessing the Moderating Effect of Consumer Product Knowledge and Online Shopping Experience on using Recommedation Agents for Customer Loyalty

• Main Authors: YOON, Victoria Y., HOSTLER, R. Eric, GUO, Zhiling, GUIMARAES, Tor
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Intelligent agents; Customer loyalty; Customer satisfaction with website; Customer value; Product knowledge; Online shopping experience; Computer Sciences; Management Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/1855; https://ink.library.smu.edu.sg/context/sis_research/article/2854/viewcontent/AssessingModeratingEffect_ConsumerProductKnowledge_CustomerLoyalty_afv.pdf
• Institution: Singapore Management University

Social media technologies have greatly facilitated the creation of many types of user-generated information, e.g., product rating information can be used to generate preference-based recommendation. As a decision support tool, a Recommendation Agent (RA) has been widely adopted by many e-commerce we...