2021
DOI: 10.1108/yc-10-2020-1236
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Mobile health (mHealth) application loyalty in young consumers

Abstract: Purpose The emergence of mHealth applications has led to the rise of health-based services delivered over smartphones. Younger people are often found to be more innovative toward technology, especially related to smartphones (Rai et al., 2013). Most mHealth application downloaders are continually shifting between applications because of the hyper-competition making achieving loyal consumers challenging (Racherla et al., 2012). The purpose of this paper is to study the determinants that help increase young cons… Show more

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Cited by 15 publications
(3 citation statements)
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“…Our sample stays in line with Soni, Jain, and Jajodia (2021) and focuses on Generation Z. Even if this sample is not representative of the whole population, samples drawn from students or Generation Z facilitate comparability (Craig and Douglas 2005).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our sample stays in line with Soni, Jain, and Jajodia (2021) and focuses on Generation Z. Even if this sample is not representative of the whole population, samples drawn from students or Generation Z facilitate comparability (Craig and Douglas 2005).…”
Section: Methodsmentioning
confidence: 99%
“…Privacy concerns have become a main—and evolving—research issue (Markos, Labrecque, and Milne 2018; Martin and Murphy 2017; Swani, Milne, and Slepchuk 2021). In line with Soni, Jain, and Jajodia (2021), we asked Generation Z consumers (a promising market segment for smart devices) to use a sleep-tracking app on their smartphone for one week to track its influence on their well-being. The sleep app could record sleep statistics like hours of sleep and sleep debt, with accelerometer-derived sleep cycle tracking.…”
mentioning
confidence: 99%
“…GIST: gaming, instructing, sharing, and tracking RAI: relative autonomous index various features that these technologies offer, including tracking progress, suggesting or rewarding pro-health behaviors, and sharing results with (distant) friends (Milanesi, 2020). The impact of these supportive device features on continued use are discussed in various articles from different perspectives, such as social value (Tu et al, 2019) and gamification attributes (Feng et al, 2020;Soni et al, 2021;Bitrián et al, 2020). Guided by self-determination theory (Ryan & Deci, 2000) and the U-Commerce framework (Watson et al, 2002), this paper assesses four features of motivational technologies that offer the most assistance to individuals in improving their health through sustained and increased use of such technologies.…”
Section: Abbreviationsmentioning
confidence: 99%