Toward Understanding the Technology Trust Calculus in Healthcare: A Generation Z and Millennial View

Rahman, Mohammed Sajedur; Chavarria, Juan A.; Hoque, Md. Rakibul; Senn, William; Lakshmikanth, Geethalakshmi S.; Flores, Javier Gil; Smith, D S

doi:10.24251/hicss.2021.426

Cited by 2 publications

(4 citation statements)

References 40 publications

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“…However, the characteristics of this generation such as being digitally native and having been born in an era where internet-enabled mobile devices are easily accessible, make them prospective users of m-health services (Coughlin et al , 2007). Research on Gen-Z indicates that they use various e-health initiatives such as personal health records and certain m-health services that track fitness and health status (Rahman et al , 2021; Yousef et al , 2020). Studies also suggest that despite a low adoption of m-health apps among Gen-Z, they are commonly satisfied with the m-health apps they use (Do et al , 2018; Nguyen et al , 2022).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

“…Gen-Z, individuals born between 1995 and 2010 (Mat Zain et al , 2021), was selected as the target population for several reasons: Gen-Z is digitally native and embraces mobile technologies more easily making them promising recipients of m-health initiatives (Coughlin et al , 2007). Gen-Z members have the opportunity to develop healthy habits at an early age, enabled and reinforced by mobile technologies, paving the way for a healthy lifestyle, with less reliance on health-care systems. Younger generations such as Gen-Z have been observed to use various forms of health technology, ranging from online health record access to fitness and health status tracking systems (Rahman et al , 2021; Yousef et al , 2020). There is a significant lack of studies focusing on Gen-Z in the m-health application literature. …”

Section: Introductionmentioning

confidence: 99%

“…Younger generations such as Gen-Z have been observed to use various forms of health technology, ranging from online health record access to fitness and health status tracking systems (Rahman et al , 2021; Yousef et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

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Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model

Aydın

2023

IJPHM

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Purpose The acceptance of mobile health (m-health) applications, especially those of a preventive nature, by individuals, is not well understood. Despite the benefits offered by m-health applications in improving and sustaining health and well-being through various avenues, widespread adoption is yet to be seen. Within this context, this study aims to reveal the enabling factors and barriers that influence the use of m-health applications among Generation Z (Gen-Z). Design/methodology/approach The Unified Theory of Acceptance and Use of Technology (UTAUT) was extended with e-health literacy, trust and enjoyment constructs. Data from a survey study on 312 Gen-Z members were analysed via structural equation modelling, shedding light on the reasons why new generations adopt m-health apps. Findings The findings indicate that social influence and enjoyment are the most significant factors influencing the use of m-health apps. The significant impact of performance and effort expectancy on intentions was also confirmed by the results. Moreover, privacy risk was identified as a barrier to adoption. The results also indicated that the strong influence of trust on privacy risk can be used to offset those privacy concerns. Practical implications The findings highlight that hedonic motivation, which is commonly overlooked in health settings, plays an important role in m-health app use. Thus, promoting mobile app features that provide enjoyment will be influential in attracting the younger generation. Originality/value The context of the study differs from the norm and focuses on a regional health tourism hub, Turkey, situated at the crossroads of Europe and Asia. UTAUT model is modified with relevant constructs, namely, enjoyment, e-health literacy and privacy risk, to better fit the m-health context.

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Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model

Aydın

2023

IJPHM

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“…It was observed that health technology adoption and its determinants are influenced by the age of users (Andreassen et al, 2007 ). Younger generations more frequently use various forms of health technology, ranging from prescription refills, virtual doctor visits, online test results, and diet management, to tracking systems for fitness, health status, and medications (Rahman et al, 2021 ; Yousef et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Paving the way for increased e-health record use: elaborating intentions of Gen-Z

Aydın

Kumru

2022

Health Systems

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This paper presents the determinants of personal e-health records adoption by the Gen-Z population and reveals barriers to use. Gen-Z members are one of the most prominent users of digital health services that have an influence on older generations’ technology adoption but have often been overlooked in scholarly research. A survey of 1,000 Gen-Z university students based on modified UTAUT was used to address this research gap. The analysis revealed the vital role of social influence in paving the way for higher adoption among Gen-Z. Moreover, significant influences of performance expectancy, facilitating conditions, and e-health literacy on behavioural intentions were detected. Effort expectancy was found to be insignificant in impacting Gen-Z’s intentions to adopt electronic health record systems. Moreover, privacy concerns acted as a barrier to adoption, yet the offsetting effect of users’ trust in health systems was shown to be instrumental in overcoming such privacy-related barriers.

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Toward Understanding the Technology Trust Calculus in Healthcare: A Generation Z and Millennial View

Cited by 2 publications

References 40 publications

Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model

Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model

Paving the way for increased e-health record use: elaborating intentions of Gen-Z

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