Over the past decade there has been a notable increase in the use of task-technology fit (ttf) theory within the field of information systems. This theory argues that information system use and performance benefits are attained when an information system is well-suited to the tasks that must be performed. As such, it seeks to offer an account of two of the key outcomes of interest to information systems (is) researchers. Continued interest in the application of ttf theory is therefore expected and, as a result, the following chapter aims to provide a brief overview of the theory and how it has been applied in prior work. Readers are presented with an overview of the diverse range of research contexts and methodologies that have been used to test and extend ttf theory. Key outcomes of interest to ttf researchers are also examined as are the various approaches that researchers have used to operationalize the notion of ttf. It is hoped that this overview will serve as a sound basis for future research and simultaneously help to ensure that is research does not continue to tread the same ground.
|Title of host publication||Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1|
|Editors||Y.K. Dwivedi, M.R. Wade|
|Place of Publication||New York, NY|
|Publication status||Published - 1 Jan 2012|
|Series||Integrated Series in Information Systems|
Furneaux, G. B. (2012). Task-technology fit theory: A survey and synopsis of the literature. In Y. K. Dwivedi, & M. R. Wade (Eds.), Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 1 (pp. 87-102). Springer. Integrated Series in Information Systems, No. 28 https://doi.org/10.1007/978-1-4419-6108-2_5