Proceedings of the 11th International Conference on Electronic Commerce
Globalization, culture, and information: Towards global knowledge transparency
The Journal of Strategic Information Systems
CASA, WASA, and the dimensions of us
Computers in Human Behavior
Journal of Information Science
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Age and technology innovation in the workplace: Does work context matter?
Computers in Human Behavior
Antecedents of computer self-efficacy: A study of the role of personality traits and gender
Computers in Human Behavior
The influence of personality on Facebook usage, wall postings, and regret
Computers in Human Behavior
Journal of Engineering and Technology Management
Understanding the dynamics of users' belief in software application adoption
International Journal of Information Management: The Journal for Information Professionals
Computers in Human Behavior
Framework for user acceptance: Clustering for fine-grained results
Information and Management
Leader personal influences on membership decisions in moderated online social networking groups
Decision Support Systems
A personality based design approach using subgroup discovery
HCSE'12 Proceedings of the 4th international conference on Human-Centered Software Engineering
Antecedents to Job Success in Business Process Management: A Comparison of Two Models
Information Resources Management Journal
Influence of personality on satisfaction with mobile phone services
ACM Transactions on Computer-Human Interaction (TOCHI)
Internet applications use and personality
Telematics and Informatics
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The five-factor model (FFM) of personality has been used to great effect in management and psychology research to predict attitudes, cognitions, and behaviors, but has largely been ignored in the IS field. We demonstrate the potential utility of incorporating this model into IS research by using the FFM personality factors in the context of technology acceptance. We propose a dispositional perspective to understanding user attitudes and beliefs, and examine the effect of user personality---captured using the FFM's big five factors---on both the perceived usefulness of and subjective norms toward the acceptance and use of technology. Using logged usage data from 180 new users of a collaborative technology, we found general support for our hypotheses that the FFM personality dimensions can be useful predictors of users' attitudes and beliefs. We also found strong support for the relationships between intention to use and system use.