Self-Tracking Technologies Adoption and Utilization: A Literature Analysis

Jean-François de Moya (), Jessie Pallud and Eusebio Scornavacca
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Jean-François de Moya: UNISTRA - Université de Strasbourg
Jessie Pallud: UNISTRA - Université de Strasbourg
Eusebio Scornavacca: (aucune)

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Abstract: Academic research on Quantified Self (QS) has grown rapidly in recent years in the field of Information Systems. QS intertwines studies on personal ICT, technology adoption, self-monitoring, mobile health, and wearable. However, there is currently no research that synthesizes all these ramifications to reveal the different theories and factors that have been most used to explore this phenomenon. This research presents a literature review and analysis of 75 articles focused on the adoption and utilization different types of QS technologies. The findings indicate a monolithic view on QS, which is commonly examined with the technological lens, thus neglecting also the health and social domains. In addition, future research should diversify the theories and methodological approaches used to study QS.

Date: 2019-08
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Published in American Conference on Information Systems, Aug 2019, Cancun, Mexico

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04184886

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