Evaluating User eXperience as a Means to Reveal the Potential Adoption of Innovative Ideas

This paper presents an empirical study dedicated to the evaluation of user experience (UX) and its possible causal influences on adoption. The empirical study was conducted in the context of an Innovation Management track in Fall 2019, where student teams had the opportunity to co-create innovative mobile app ideas. The applied UX-based adoption model, which in previous studies, has undergone numerous limited scale reliability, validity, and goodness of fit tests, was initiated through the first tentative model created in 2016. For each mobile app idea, a bipolar survey allowed the collection of both quantitative and qualitative data in order to evaluate the degree of UX satisfaction and its causal effect on adoption. This new study offers limited, early-stage evidence for possible cross-validation of the UX multidimensional aspect of the model by demonstrating that several UX facets, belonging to different dimensions, directly influence the anticipated UX and intention to adopt in the context of eight unique, innovative mobile app ideas. It also reveals that this approach could be used to sift through innovative ideas during the Fuzzy Front End stage in predicting their potential adoption success at the later close-to-market and on-the-market stages. Finally, it also provides some empirical evidence to support the hypothesis that the higher the degree of UX satisfaction, the stronger the intention to adopt.

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