To bring about intended use of a technology amongst a target user group, the technology must be
a proper match with the task at hand. We learn from the fit literature that users are motivated to
use a technology because they perceive it to be a better fit over and above alternative methods.
This article reflects upon technological developments in information systems, particularly those
that use location information as their central component for providing services. By drawing on
locatability, we are able to recast the traditional fit models by differentiating between under-,
over-, and ideal fit conditions. A wireless laboratory experiment with 112 subjects tests how
differing fit levels impact individual performance across various tasks performed with locatable
technology. For the experiment, a wireless environment is created that provides faster
transmission rates and better localization accuracy than any currently existing cellular phone
infrastructure. Findings conclude that subjects perceive differences between under- and ideal fit
conditions when exposed to tasks that include localization components