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Understanding People's Switching Intentions of Health Apps from Exterior and Interior Drivers

unwilling to switch to other apps in the following section.

5.3 Findings
In this study, we identify significant determinants of user switching intention and

analyze the effects of positive drivers and negative drivers. The results show that social
influence, dissatisfaction with the current health app, and habits have a relatively large
impact on user switching intention. The above results indicate that the user’s decision

about whether to change to other apps is influenced by the evaluation of other users; the
greater the social influence, the higher the intention of the user to switch. The significance
of social influence is the greatest, so we can infer that in today’s society, usage behavior
is easily affected by friends and peers. In addition, when users are not satisfied with
their current health app, they are easily attracted by other competitors’ products and user

switching intention is higher. Finally, habits make people feel dependent; if users get used
to employing their current health app, the intention to use other apps is reduced.
However, attractive alternatives have no significant impact on user switching

intention of health apps. The reason may be that most health apps are similar in
functionality and almost free to begin with. Therefore, for users, there is almost no
difference when compare between the old and new apps. In addition, procedural switching
cost has also no significant impact on user switching intention; this indicates that health
apps in the app market are always similar in their operational interface. Thus, switching

intention is not reduced due to procedural switching cost. Also, procedural switching cost
does not cause the user to change his/her current health app. In terms of interaction, we
use procedural switching cost as a moderating variable to explore whether the variable

leads users who are not satisfied with the original health app to switch to other providers.
The result is not significant and indicates that procedural switching cost has no significant
impact on the user’s switching intention, even if the user is not satisfied with the existing
health app.
To examine the robustness of the research model, we also analyze the moderating

effect of procedural switching cost on attractive alternatives and social influence to
test whether it has a significant impact on the switching intention. The results show that
procedural switching cost has no significant moderating effect on attractive alternatives

(β = -0.310, p > 0.05) and social influence (β = -0.052, p > 0.05). Besides, the path

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