It's all about attitude: revisiting the technology acceptance model
Decision Support Systems
Examining the technology acceptance model using physician acceptance of telemedicine technology
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Empirical evidence of information overload constraining chat channel community interactions
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Electronic Commerce Research and Applications
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Recognizing the increasing amount of information shared on Social Networking Sites (SNS), in this study we aim to explore the information processing strategies of users on Facebook. Specifically, we aim to investigate the impact of various factors on user attitudes towards the posts on their Newsfeed. To collect the data, we program a Facebook application that allows users to evaluate posts in real time. Applying Structural Equation Modeling to a sample of 857 observations we find that it is mostly the affective attitude that shapes user behavior on the network. This attitude, in turn, is mainly determined by the communication intensity between users, overriding comprehensibility of the post and almost neglecting post length and user posting frequency.