Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance
Sun, Heshan, Fang, Yulin, Zou, Haiyun (Melody)
Journal of the Association for Information Systems · 2016 · Volume 17 · Issue 6
Abstract
Mindfulness is an important emerging concept in society. This research posits that a user’s mindful state when adopting a technology is a crucial factor that determines how the technology will fit the task context at the post-adoption stage and, thus, has profound influence on user adoption and continued use of technology. Based on the mindfulness literature, we conceive of a new concept (mindfulness of technology adoption (MTA)) as a multi-faceted reflective high-order factor. We develop a MTA-TTF (task-technology fit) framework and integrate it into the cognitive change model to develop a research model that delineates the mechanisms through which MTA influences user adoption and continued use of technology. We examined the model via a longitudinal study of students’ use of wiki systems. The results suggest that mindful adopters will more likely perceive a technology as useful and choose a technology that turns out to fit their tasks. Hence, mindful adopters are likely to have high disconfirmation, perceived usefulness, and satisfaction at the post-adoption stage. The findings have significant implications for IS research and practices.
Keywords
Mindfulness, Task-technology Fit, User Adoption and Continuance of Technology, Longitudinal Study
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