Abstract
Although feature updates are a ubiquitous phenomenon in both professional and private IT usage, they have to date received little attention in the IS post-adoption literature. Drawing on expectationconfirmation theory and the IS continuance literature, we investigate whether, when and how incremental feature updates affect users’ continuance intentions (CI). Based on a controlled laboratory experiment, we find a positive effect of feature updates on users’ CI. According to this effect, software vendors can increase their users’ CI by delivering updates incrementally rather than providing the entire feature set right with the first release. However, we also find that CI diminishes when the number of updates exceeds a tipping point in a given timeframe, disclosing update frequency as crucial boundary condition. Furthermore, we unveil that the beneficial effect of feature updates on CI operates through positive disconfirmation of expectations, resulting in increased user satisfaction. Implications for research and practice as well as directions for future research are discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
