Understanding the Impact of Web Personalization on User Information Processing and Decision Outcomes

By Kar Yan Tam, S. Y. Ho. MIS Q., 2006

701 citations recorded by the source corpus.

Subfields: Demography, Information Systems

View Paper: https://www.semanticscholar.org/paper/628dde1f497f22c0aa9a39aee085cde48163a07f

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Citations in the corpus

Managing Citizens' Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (2016, background): “Also, personalization can allow citizens to create a customized layout from which the necessary information can be easily identified, reducing citizens’ cognitive effort in information processing during their use of the services (Tam and Ho 2006).”
Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems (2017, background): “Research findings indicate that users are more receptive to such personalized designs and perceive the system as being of higher quality (Delone and McLean 2003; Tam and Ho 2006).”
An eye-tracking study of website complexity from cognitive load perspective (2014, background): “Tam and Ho [36] prove that the higher the specificity of a goal, the more easily the web stimulus can be classified as relevant (or irrelevant) to a goal.”
When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity (2010, background): “Previous studies have found that web personalization agents effectively increase end user decision making (Tam & Ho, 2006).”
Use of social network information to enhance collaborative filtering performance (2010, background): “…online and may provide unexpected goods (Haubl & Murray, 2006; Haubl & Trifts, 2000; Pennock, Horvitz , & Giles, 2000; Sinha & Swearingen, 2001; Tam & Ho, 2006); they can also make online businesses' commercial systems easier to use and increase the possibility of cross-selling, thereby…”
Self-Endorsing Versus Other-Endorsing in Virtual Environments (2011, background): “For instance, personalized recommendations are being sent to consumers based on online “footsteps” of prior purchases (Tam and Ho 2006).”
Is this for me? How Consumers Respond to Personalized Advertising on Social Network Sites (2015, background): “…2011; Sheng, Nah, and Siau 2008; Sundar and Marathe 2010; Yu and Cude 2009), need for cognition (Tam and Ho 2005), self-referent thinking (Hawkins et al. 2008; Tam and Ho 2006), extraversion and conscientiousness (Chiu et al. 2007), and the attitude toward personalization, could be investigated.”
Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective (2012, background): “As a prominent and wellestablished model of informational influence, researchers have adopted ELM to study user behavior in computer-mediated and online environments (Sussman & Siegal, 2003; Tam & Ho, 2006).”
Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts (2013, background): “For all the reasons above, many MIS studies related to internet use and online behavior have used students as subjects (see, e.g., McKnight et al , 2002; Komiak & Benbasat, 2006; Strite & Karahanna, 2006; Tam & Ho, 2006; Webster & Ahuja, 2006; Jiang & Benbasat, 2007a, b; McElroy et al , 2007.)”
What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences (2014, background): “perceived personalization will reduce customers’ information screening cost and improve their decision-making quality, and thus contribute to a better experience [55].”