Author List: Fuller, Robert M.; Dennis, Alan R.;
Information Systems Research, 2009, Volume 20, Issue 1, Page 2/17/2017.
Prior research on technology and team performance concludes that the fit of the technology to tasks influences team performance. It also suggests that the way teams appropriate technology influences performance. This research examines how fit and appropriation (from the Fit Appropriation Model) influence performance over time. Initially, the results show that fit better predicted performance; teams using poor-fitting technology performed worse than teams with better fitting technology. However, over a short time period (two days in this study), this initial fit no longer predicted performance; performance of teams using better fitting technology remained constant while teams using poor-fitting technology innovated and adapted, improving performance. There are two key findings from this study. First, fit can predict team performance soon after technology adoption, but initial assessments of fit are temporary as teams innovate and adapt; thus, our current theoretical models of fitting technology to a task likely will not be useful beyond the first use. Second, teams should understand how to better adapt existing technology and work structures. Because our current theories of tasktechnology fit failed to predict performance beyond the first use of technology, we believe that this calls for a reconsideration of what fit means for teams using technology.
Keywords: fit-appropriation model; repeated tasks; team performance; time
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List of Topics

#295 0.221 task fit tasks performance cognitive theory using support type comprehension tools tool effects effect matching types theories modification working time
#87 0.174 team teams virtual members communication distributed performance global role task cognition develop technology involved time individual's affects project geographically individuals
#93 0.167 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#18 0.159 adaptive theory structuration appropriation structures technology use theoretical ast capture believe consensus technologies offices context based initial advanced exploring findings
#155 0.126 technology research information individual context acceptance use technologies suggests need better personality factors new traits telemedicine adoption examined does management
#184 0.075 modeling models model business research paradigm components using representation extension logical set existing way aspects issues current integrated languages traditional