Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service: Differentiating Age Effect From Experiential Distance Perspective

Zhangxiang Zhu, Yongmei Liu, Xianye Cao, Wei Dong

Source Title: Journal of Organizational and End User Computing (JOEUC)34(4)

ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893271|DOI: 10.4018/JOEUC.287910

MLA

Zhu, Zhangxiang, et al. "Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service: Differentiating Age Effect From Experiential Distance Perspective." JOEUC vol.34, no.4 2022: pp.1-23. http://doi.org/10.4018/JOEUC.287910

APA

Zhu, Z., Liu, Y., Cao, X., & Dong, W. (2022). Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service: Differentiating Age Effect From Experiential Distance Perspective. Journal of Organizational and End User Computing (JOEUC), 34(4), 1-23. http://doi.org/10.4018/JOEUC.287910

Chicago

Zhu, Zhangxiang, et al. "Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service: Differentiating Age Effect From Experiential Distance Perspective," Journal of Organizational and End User Computing (JOEUC) 34, no.4: 1-23. http://doi.org/10.4018/JOEUC.287910

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Abstract

The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the service. Based on the unified theory of acceptance and use of technology 2 and the protection motivation theory, the authors built an MCDMS adoption model. The authors also verified the differentiating age effect on the service adoption intention from experiential distance perspective of the construal level theory. Empirical results showed that the young group focused more on the impact of effort expectancy, whereas the elderly group focused more on performance expectancy, imitating others, and perceived severity. Furthermore, the young group, however, focused more on the impact of perceived vulnerability, and offline medical habits showed no significant influence on either group’s intention to adopt, which were not consistent with the original hypotheses. The findings can aid MCDMS providers in selecting marketing strategies targeted toward different age groups.