A study on the acceptance intention of digital therapeutics based on UTAUT2 and MIR

Taesung Chung; Sungmin Kim

doi:10.1177/20552076261443452

A study on the acceptance intention of digital therapeutics based on UTAUT2 and MIR

Taesung Chung
, Sungmin Kim

Department of Biomedical Engineering

Dongguk University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This study analyzes user acceptance intention toward digital therapeutics (DTx) and examines factors influencing acceptance intention. Methods: A theoretical review and empirical survey were conducted. A digital therapeutics acceptance model was proposed by integrating the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Model of Innovation Resistance (MIR). Results: The key UTAUT2 variables of hedonic motivation and price value had a significant positive influence on users’ intention to accept digital therapeutics. Conversely, the MIR variables of economic risk and privacy risk were found to negatively affect acceptance intention (5). Conclusion: These findings suggest that emotional engagement and perceived cost are critical for DTx acceptance intention, while privacy and financial concerns act as resistance factors. This study contributes to expanding DTx acceptance intention by identifying psychological drivers and barriers.

Original language	English
Journal	Digital Health
Volume	12
DOIs	https://doi.org/10.1177/20552076261443452
State	Published - 1 Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

acceptance intention
digital therapeutics
extended unified theory of acceptance and use of technology
model of innovation resistance
software as a medical device

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10.1177/20552076261443452

Cite this

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abstract = "This study analyzes user acceptance intention toward digital therapeutics (DTx) and examines factors influencing acceptance intention. Methods: A theoretical review and empirical survey were conducted. A digital therapeutics acceptance model was proposed by integrating the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Model of Innovation Resistance (MIR). Results: The key UTAUT2 variables of hedonic motivation and price value had a significant positive influence on users{\textquoteright} intention to accept digital therapeutics. Conversely, the MIR variables of economic risk and privacy risk were found to negatively affect acceptance intention (5). Conclusion: These findings suggest that emotional engagement and perceived cost are critical for DTx acceptance intention, while privacy and financial concerns act as resistance factors. This study contributes to expanding DTx acceptance intention by identifying psychological drivers and barriers.",

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author = "Taesung Chung and Sungmin Kim",

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KW - digital therapeutics

KW - extended unified theory of acceptance and use of technology

KW - model of innovation resistance

KW - software as a medical device

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A study on the acceptance intention of digital therapeutics based on UTAUT2 and MIR

Abstract

UN SDGs

Keywords

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