An empirical investigation of the adoption of mobile health applications: integrating big data and social media services
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ORIGINAL PAPER
An empirical investigation of the adoption of mobile health applications: integrating big data and social media services Tahereh Saheb 1 Received: 15 February 2020 / Accepted: 23 March 2020 # IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract With the advancement of digital technologies, the mobile healthcare industry aims to enhance health intelligence through delivering transformational digital services. This study integrates knowledge derived from three models of innovation diffusion, privacy calculus, and information systems success with the current studies on technology acceptance literature in the context of mHealth apps. It focuses on the contribution of big data and social media in enhancing mobile health apps and their impact on patients’ behavior and adoption. Through structural equation modeling of 582 questionnaires, this study develops a framework analyzing the impact of data quality, social interactivity, personalization, data risk, and performance risk. The study confirms the association between personalization, data quality, and data risk on the adoption decisions, while it did not find a link between social connectivity and the adoption decision. Theoretically, this paper builds new knowledge on the technology adoption literature by emphasizing digital services in the context of mobile health apps. Practically, this paper can assist the healthcare care industry to re-engineer its traditional business models by delivering enhanced digital services during the design of mobile health apps. Keywords Mobile health apps . Technology adoption . Enhanced health intelligence . Digital services . Big data . Social media
1 Introduction Mobile applications have transformed into decisive devices for delivering services that can enhance an active lifestyle. Mobile technologies are available anytime and anywhere and may lead to the advancement of self- healthcare management [1]. The heated competition inside the mobile health industry has led to the enhancement of health intelligence through integrating digital services of technologies like big data and social media to deliver personalized and interactive healthcare services [2, 3]. By health intelligence, we mean using technologies and methods from data science and artificial intelligence to improve healthcare and medicine awareness [3]. Disruptions in lifestyle management and new lines of services powered by digital technologies have compelled businesses to design and develop new business models [4]. The healthcare industry is not an exception, as delivering * Tahereh Saheb [email protected] 1
Management Studies Center, Tarbiat Modares University, Tehran, Iran
high- quality personalized information powered by big data analytics has turned into a compelling trend [5]. Despite the promising impact of digital technologies in the enhancement of self-health care, digital services of social media and big data have heightened concerns over the privacy and security of patients’ personal data [6]. The main purpose of t
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