Harder, Better, Faster, Stronger: the Adoption and Use of Ai-Based Mhealth Applications
Although mHealth applications help improve their users’ well-being, obstacles still hamper their adoption and use. Based on automated text analysis and structural equation modeling, two mixed-methods studies (nAdoption = 145; nUse = 3,496) highlight the key roles of personalization and quantified-self in consumer experience of mHealth applications.
Citation:
Vincent FAVARIN, Lars Meyer-Waarden, and Julien Cloarec (2021) ,"Harder, Better, Faster, Stronger: the Adoption and Use of Ai-Based Mhealth Applications", in NA - Advances in Consumer Research Volume 49, eds. Tonya Williams Bradford, Anat Keinan, and Matthew Matthew Thomson, Duluth, MN : Association for Consumer Research, Pages: 913-913.
Authors
Vincent FAVARIN, TSM-Research, Université Toulouse Capitole, CNRS
Lars Meyer-Waarden, TSM-Research, Université Toulouse Capitole, CNRS
Julien Cloarec, iaelyon School of Management, Université de Lyon
Volume
NA - Advances in Consumer Research Volume 49 | 2021
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