Abstract

A lot of research has been conducted to study what drives people to adopt technologies. Yet, an equally, if not more, important question is how to make sound adoption decisions. This research investigates this question from a mindfulness perspective. Based on the mindfulness literature, this research defines mindfulness in the context of technology adoption and conceptualizes it as a multi-faceted formative factor. A research model of mindfulness is developed to delineate how mindfulness influences the soundness of technology adoption decisions, including the influence of mindfulness at both the adoption and post-adoption stages. The model was examined by a longitudinal empirical study and the data largely supported the model. The results suggest that mindfulness can help individuals make sound adoption decisions, which are somewhat crystallized at the post-adoption stage through high (i.e., positive) disconfirmation, user satisfaction, modified beliefs, and intention to continue. The results have implications for IS research and practices.

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Making Sound Adoption Decisions: A Longitudinal Study of Mindfulness in Technology Adoption and Continued Use

A lot of research has been conducted to study what drives people to adopt technologies. Yet, an equally, if not more, important question is how to make sound adoption decisions. This research investigates this question from a mindfulness perspective. Based on the mindfulness literature, this research defines mindfulness in the context of technology adoption and conceptualizes it as a multi-faceted formative factor. A research model of mindfulness is developed to delineate how mindfulness influences the soundness of technology adoption decisions, including the influence of mindfulness at both the adoption and post-adoption stages. The model was examined by a longitudinal empirical study and the data largely supported the model. The results suggest that mindfulness can help individuals make sound adoption decisions, which are somewhat crystallized at the post-adoption stage through high (i.e., positive) disconfirmation, user satisfaction, modified beliefs, and intention to continue. The results have implications for IS research and practices.