The Effect of Multimedia on Perceived Equivocality and Perceived Usefulness of Information Systems
By Kai H. Lim, Izak Benbasat. MIS Q., 2000
352 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology
View Paper: https://www.semanticscholar.org/paper/b136ab2ddce0d5f8d4a23d98fea3bf2209b65b74
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In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Social Psychology
Citations in the corpus
- Impact of media richness and flow on e-learning technology acceptance (2009, background): “Advances in technology and user sophistication with new media necessitate continued assessment of MRT. Current studies involving MRT in business (Lim & Benbasat, 2000; Matarazzo & Sellen, 2000; Otondo, Van Scotter, Allen, & Palvia, 2008; Yeung & Lu, 2004) incorporated video, audio or web…”
- Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features (2013, neutral): “of “review helpfulness” [48] and the “big” concept of “usefulness” is difficult.”
- Effects of Different Video Lecture Types on Sustained Attention, Emotion, Cognitive Load, and Learning Performance (2015, result): “pictures simultaneously (Mayer & Massa, 2003). Further, Massa and Mayer (2006) tested the ATI hypothesis, but their results failed to support the ATI hypothesis.”
- The relative advantage of electronic channels: a multidimensional view (2008, background): “Some empirical evidence suggests that enhancing the web site with multimedia capabilities is an effective way of increasing web site efficacy in handling less analyzable tasks (Lim and Benbasat 2000).”
- Virtual Product Experience: Effects of Visual and Functional Control of Products on Perceived Diagnosticity and Flow in Electronic Shopping (2004, background): “Furthermore, according to Lim and Benbasat [49], multimedia representations lead to a lower level of perceived equivocality for less-analyzable tasks.”
- How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations (2009, neutral): “Limayem and DeSanctis (2000) find that system explanations improve group DSS usability, particularly because of improvements in user understanding of decision models.”