An application of expectancy theory for assessing user motivation to utilize an expert system
Journal of Management Information Systems - Special issue: Collaboration technology, modeling, and end-user computing for the 1990s
The use of information technology to enhance management school education: a theoretical view
MIS Quarterly - Special issue on IS curricula and pedagogy
Performing catharsis: The use of online discussion forums in organizational change
Information and Organization
Computers in Human Behavior
Computers in Human Behavior
Knowledge hoarding and user acceptance of online discussion board systems in eLearning: A case study
Computers in Human Behavior
User acceptance of hedonic information systems
MIS Quarterly
Deriving the Pricing Power of Product Features by Mining Consumer Reviews
Management Science
The links that bind: Uncovering novel motivations for linking on Facebook
Computers in Human Behavior
Computers in Human Behavior
Information Systems Research
| Hi-index | 0.00 |
The current study utilized regulatory focus theory to explain how online deliberations are processed differently depending on a participant's information processing style and the characteristics of a discussion topic. An experiment was conducted to investigate the relationship between informational characteristics (hedonic vs. utilitarian) and attitude change toward information, as well as the moderating effect of regulatory focus (promotion vs. prevention). Results from 207 students indicated that promotion-focused participants were more likely to change their attitude toward information than prevention-focused participants during online deliberations. Furthermore, when presented with hedonic information, attitude changes toward information were stronger for promotion-focused participants as compared to prevention-focused participants. However, when presented with utilitarian information, attitude changes were stronger for prevention-focused participants. The present findings enable researchers and practitioners to understand the interactive influence of informational characteristics and regulatory foci of participants during online deliberations, as well as influence participants' biased information processing.