Due to mobile healthcare (mHealth) applications, consumers have more control over their health decisions. The
integration of Big Data Analysis (BDA) and mHealth applications can facilitate discovery of new information, early
diagnosis of diseases, preventing pandemics, providing personalized healthcare services. In Turkey, Life Fits into
Home (HES) mHealth application is a method used to inform citizens on Covid-19 in the battle with the pandemic.
In HES, pandemic data is analyzed and the spread of the pandemic is visualized in real time. Additionally, users are
given individual codes to provide personalized service and participation in healthcare. This study investigates the
factors affecting the acceptance of information systems providing the integration of BDA and mHealth applications
by users. A model is presented using the variants Theory of Planned Behavior, DeLone and McLean Model of
Information Systems Success, and Technology Acceptance Model (TAM). The study is significant in terms of
obtaining results on the usage of TAM and improves technology adoption literature. Data of 400 individuals were
tested by structural equation modeling within the scope of the research. The research revealed that the perceptions of
users about subjective norm, behavioral control, system quality, information quality, usefulness, and ease of use
have a positive effect on intention to use. The results of the study will be instructive in developing applications
displaying the effects of BDA on public. Determining the factors influencing consumer behavior can encourage
designers to create improved services, and support health industry to design work models.

Key Words

Mobile Health, Big Data, Healthcare Services, Technology Acceptance Model

Oznur Dal

Affiliation

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Determining the Factors Affecting the Acceptance of Systems Providing the Integration of Big Data Analysis and Mobil Applications: Enhanced Technology Acceptance Model