Coordinating Expertise in Software Development Teams
Management Science
A reference model for designing effective reputation information systems
Journal of Information Science
Journal of Management Information Systems
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies
Journal of Management Information Systems
Investigating Determinants of Software Developers' Intentions to Follow Methodologies
Journal of Management Information Systems
Software Piracy in the Workplace: A Model and Empirical Test
Journal of Management Information Systems
Analysis of a reputation system for Mobile Ad-Hoc Networks with liars
Performance Evaluation
Antecedents of computer self-efficacy: A study of the role of personality traits and gender
Computers in Human Behavior
User disposition and extent of Web utilization: A trait hierarchy approach
International Journal of Human-Computer Studies
Internet applications use and personality
Telematics and Informatics
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Online review, an important form of reputation systems, has been studied intensively because of its powerful impact on online retailers, intermediaries, and customers. However, to date, very little attention has been paid to factors that influence an individual's intention to provide an online review. An extended theory of planned behavior and Big-Five personality framework are used in this study. We empirically examine our model by using a cross-sectional survey study, collecting data from a sample of 171 online shoppers. Results show that attitude, perceived pressure, neuroticism, and conscientiousness are significant predictors of an individual's intention to provide an online review. Findings may help online retailers and/or intermediaries increase the number of online reviews provided, which will lead to more accurate rating information about transactions, products, or services and may serve as a stepping-stone to continuous improvements. Implications, limitations, and future research directions are discussed.