The Effects of Information Format and Shopping Task on Consumers' Online Shopping Behavior: A Cognitive Fit Perspective

By Weiyin Hong, James Y. L. Thong, Kar Yan Tam. Journal of Management Information Systems, 2004

373 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e7c71f47398ac1bb928b8d6dca62b70c3233fc50

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In Information Systems and Management

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Citations in the corpus

eWOM overload and its effect on consumer behavioral intention depending on consumer involvement (2008, methodology): “The individual differences including personality, cognitive style and personal web experiences, were controlled by randomly assigning the participants to the experimental conditions [16].”
An eye-tracking study of website complexity from cognitive load perspective (2014, methodology): “Online retailerswant to retain the consumers as long as possible on theirwebsites, exposing them to more product information [15].”
The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement (2007, background): “For example, the searching task is close to high-involvement action, while the browsing task is related to low-involvement action [23].”
Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents (2014, methodology): “We extend prior work on product description and performance uncertainty in the context of used cars (Dimoka et al. 2012); product condition uncertainty in the context of used books (Ghose 2009); and website design (Hong et al. 2004, Jiang and Benbasat 2007, Zhu et al. 2010).”
The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews (2008, background): “Performance of a decision-making task will be enhanced when the information is given in a form that an individual is likely to process because the match between the information-processing strategy and the information type minimizes cognitive effort [27].”
The Different Effects of Online Consumer Reviews on Consumers' Purchase Intentions Depending on Trust in Online Shopping Mall: An Advertising Perspective (2011, background): “attitude of consumer reviews (Hong et al., 2004).”
When Online Reviews Meet Hyperdifferentiation: A Study of Craft Beer Industry (2006, background): “Given the growing importance of online reviews, it is also important to examine how the format of online reviews should be designed to better present product information [25].”
Mobile Application Usability: Conceptualization and Instrument Development (2015, background): “Adipat et al. 2011; Hess et al. 2005; Hong et al. 2004a, 2004c; Jokela et al. 2006; Mithas et al. 2007; Palmer 2003; Treiblmaier 2007; Wells, Valacich, and Hess 2011 Top-tobottom structure • Put the most frequently used (usually higher level) information near the top, where it is most visible and…”
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies (2006, background): “Thus, a major contribution of this study is that it provides a theory-based understanding of the relative merits of two commonly used trust-building strategies, and of designing Web content in general [35, 37].”
The effect of website features in online relationship marketing: A case of online hotel booking (2015, background): “Specifically, consumer purchasing decisions are usually based on the appearance and website design elements including pictures, virtual tours, graphics, quality information, and video clips of the product (e.g., Chiu et al. 2014, Hong et al. 2004, Kolesar and Galbraith 2000).”