The role of task-technology fit as users' motivation to continue information system use

366 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology (2009, background): “However, the endeavor to improve our understanding of e-learning continuance beyond this narrow purpose of testing information systems adoption variables has resulted in two additional research approaches (cf. Larsen et al., 2009).”
"Algorithms ruin everything": #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media (2017, background): “As noted above, user expectations of technology may be shaped by perceived use cases [25], but they are also potentially shaped at a higher level by user understanding of the system’s inner workings [27].”
Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives (2012, background): “In the domain of VLS, studies reveal the importance of investigating the role of TTF in motivating users to continue to use information systems (Larsen et al., 2009) and the effects of TTF on learning (McGill and Klobas, 2009).”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “The extant research has also found significant correlations between task-technology fit and continu-ance intention (Larsen et al., 2009; Lin, 2012).”