Task-technology fit and individual performance
MIS Quarterly
Understanding user evaluations of information systems
Management Science
Issues and opinion on structural equation modeling
MIS Quarterly
Journal of Systems and Software
A test of task-technology fit theory for group support systems
ACM SIGMIS Database
Communications of the ACM
Research Commentary: The Next Wave of Nomadic Computing
Information Systems Research
Journal of Management Information Systems
Pervasive healthcare and wireless health monitoring
Mobile Networks and Applications
Research areas and challenges for mobile information systems
International Journal of Mobile Communications
Information Systems Management
Towards an integrated model of IT acceptance in healthcare
Decision Support Systems
RFID-Enabled Healthcare Applications, Issues and Benefits: An Archival Analysis (1997---2011)
Journal of Medical Systems
A framework for enabling patient monitoring via mobile ad hoc network
Decision Support Systems
International Journal of Mobile Communications
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Mobile information communication technologies (MICTs) have considerable promise in patient care settings. But that promise can only be realized if the MICT applications are used by the medical staff. This paper reports on a study examining nurses' decisions to utilize MICTs. A mixed-methods approach is used, consisting of both qualitative and quantitative elements, that reveals and empirically tests the significance of novel constellations of fit (i.e., identification, information, patient interaction, physical, time criticality, user comfort, and workflow fit) and individual characteristics, presented as basic human drives (i.e., drive to acquire, bond, defend, and learn). Findings indicate that fit is a multi-faceted construct and that archetypical human drives have an influence on these various notions, which in turn, impact technology adoption in the healthcare context.