Paper Type

Complete

Paper Number

1411

Description

The rapid aging of Asia's population is set to pose unprecedented challenges, with over a third aged 60 or above by 2050, escalating the need for healthcare services. Although mHealth apps have emerged as a promising solution to address this need, its adoption remains low, with frequent discontinuation. Seeking to address knowledge deficiencies in the area of mHealth adoption and continuance, this study extends the task-technology fit (TTF) model, by proposing that app usage is more likely to continue when it aligns with both the health-tasks-related (functional) and health-style-related (psychological) needs of the elderly, based on a longitudinal study. Our findings contribute to the IS literature by demonstrating how the congruence between users' needs (i.e., health-task-related needs and health-style-related needs) and technology functionality affects the ongoing use and future intentions to use mHealth apps among the elderly. In practice, this paper provides meaningful implications for mHealth app developers.

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Healthcare

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Jul 2nd, 12:00 AM

Longitudinal Assessment of mHealth Continuance: A Task-Technology Fit Perspective

The rapid aging of Asia's population is set to pose unprecedented challenges, with over a third aged 60 or above by 2050, escalating the need for healthcare services. Although mHealth apps have emerged as a promising solution to address this need, its adoption remains low, with frequent discontinuation. Seeking to address knowledge deficiencies in the area of mHealth adoption and continuance, this study extends the task-technology fit (TTF) model, by proposing that app usage is more likely to continue when it aligns with both the health-tasks-related (functional) and health-style-related (psychological) needs of the elderly, based on a longitudinal study. Our findings contribute to the IS literature by demonstrating how the congruence between users' needs (i.e., health-task-related needs and health-style-related needs) and technology functionality affects the ongoing use and future intentions to use mHealth apps among the elderly. In practice, this paper provides meaningful implications for mHealth app developers.

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