A unified theory of fit has been developed and a comprehensive definition has been derived from the theory. The definition recognises the key aspects of technology, individual, and task that are present in prior research. It also provides the basis for an explicit description of a taxonomy of the different types of fit in technology supported work and the interrelationships amongst them. Furthermore, it has demonstrated theoretically that performance and fit are distinct but related constructs.
The theory and definition of fit developed in the paper is shown to be consistent with a move to a dynamic understanding of fit. The development of theories of the feedback processes and dynamics of fit and performance over time is itself a promising and under-researched area, but a direction consistent with trends in the broader behavioural sciences literature to consider the dynamics by which behaviour emerges over time (e.g. Port and Van Gelder, 1995; Sterman, 1989a; 1989b). It also highlights the potential for user misjudgements of fit (Davern, 1996; 1999).
One of the difficulties facing both researchers and practitioners in using the various behavioural of constructs in information systems is understanding precisely what is being measured. The taxonomy of fits in the ATT-Fit framework serves as a useful foundation in this regard. It clearly articulates a basis for distinguishing between different types of fit. For example, it highlights some of the distinctions (e.g. between technology as representation and as tool) that are glossed over by existing measures of fit, and indeed a number of other widely used IS constructs.
More specifically, the explication of the task hierarchy calls practitioners and researchers alike to specifically identify the task for which they anticipate the technology will provide performance gains. Alternatively, it serves as a diagnostic tool for identifying where a technology solution may be failing. Again, it provides a clear and theoretically grounded foundation for understanding the different aspects of fit in information technology contexts.
Finally, the richer understanding of behaviour with technology provided by the dynamic conceptualisation of fit may lead to new and more successful methods and interventions in systems and training that are cognisant of these dynamics.