AI powered m-health apps empowering smart city citizens to live a healthier life –The role of trust and privacy concerns
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School of Business |
Master's thesis
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Authors
Date
2022
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
55 + 32
Series
Abstract
The rapidly growing world population is concentrating increasingly in urban areas, creating the need for smart city innovations. Smart healthcare is a central part of smart city services. In smart healthcare, Artificial Intelligence (AI) is of growing importance, as it enables healthcare to be more personalized, as AI can collect and analyze vast amounts of data more effectively than a human physician is able to. AI powered mobile health (m-health) applications have the potential to lower healthcare cost and empower individuals to take better care of their health in a preventive manner. For the m-health applications to reach their full potential, they need to gather and analyze the users’ health data, which enables the offering of highly personalized services. However, with the continuous data collection from users to be able to offer personalized services, the question on privacy and trust concerns arise. In this Thesis I’m researching the privacy and trust concerns users have towards m-health apps to better understand people’s behaviors and the constructs affecting their behavior. The empirical part of the research was done conducting an online survey. The study confirmed TAM in a new setting. The privacy paradox was also present, as privacy concerns did not have a negative effect on behavioral intention or self-disclosure. The personalization-privacy paradox was partly present. Self-efficacy was found to have a significant impact on decreasing privacy concerns and increasing self-disclosure, while self-disclosure had a positive effect on behavioral intention. The main contribution of the research was testing the new constructs of self-disclosure and digital self-efficacy together with previously tested constructs in a new setting in Finland. The findings indicate that companies should concentrate creating easy to use, useful and trustworthy applications so people would adopt and use them. On a societal level, it is important to achieve a high level of digital self-efficacy and self-disclosure to facilitate the adoption and use of m-health apps.Description
Thesis advisor
Ghanbari, HadiKeywords
AI, m-health, privacy, smart cities, healthcare