The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy

Mensah, Isaac Kofi; Zeng, Guohua; Mwakapesa, Deborah Simon

doi:10.3389/fpubh.2022.1020474

Cited by 11 publications

(9 citation statements)

References 90 publications

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“…Thus, an individual’s belief in their capability to execute actions effectively influences their behavior. Our findings, consistent with Mensah et al . (2022), Shiferaw et al .…”

Section: Discussionsupporting

confidence: 94%

“…Thus, an individual's belief in their capability to execute actions effectively influences their behavior. Our findings, consistent with Mensah et al (2022), Shiferaw et al (2021) and Zhang et al (2017), imply that enhancing users' confidence in navigating these applications could positively influence their adoption.…”

Section: Discussionsupporting

confidence: 86%

“…Fostering user self-efficacy entails providing clear interfaces, comprehensive tutorials, and responsive customer support. By prioritizing these elements, developers and marketers can enhance user trust and self-efficacy, thereby increasing the likelihood of users adopting and consistently using these applications for health and wellness goals (Hoque et al ., 2017; Mensah et al ., 2022; Gopinath et al ., 2022). In addition, establishing responsive channels for user queries and concerns to guide users through any challenges they may encounter contributes to a positive user experience and reinforces the reliability of the application provider.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous studies (e.g. Mensah et al, 2022;Zhang et al, 2017;Shiferaw et al, 2021;Dhiman et al, 2020;Gopinath et al, 2022;Hsu et al, 2021;Liu et al, 2022) consistently demonstrate the role of self-efficacy in shaping behavioral intentions toward electronic health and mobile services. For instance, Zhang et al (2017) found a positive association between self-efficacy and perceived ease of use for mobile health services, while Shiferaw et al (2021) highlighted self-efficacy's impact on attitudes toward telemedicine.…”

Section: Self-efficacymentioning

confidence: 99%

“…(2020) similarly observed that individuals' adoption of the app is shaped by their confidence in their competence to utilize the applications. Thus, Mobile self-efficacy and trust identified as factors impacting users' inclination to use diet apps on smartphones (Bile Hassan et al ., 2022; Menasah et al ., 2022; Zhang et al ., 2017), consequently, the present study incorporates trust into the privacy calculus model to investigate the factors influencing users' intention to use a diet application.…”

Section: Research Model and Hypothesis Developmentmentioning

confidence: 99%

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Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

Mohammed,

Rozsa

2024

BFJ

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PurposeThe purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.Design/methodology/approachIn a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.FindingsThe findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users' experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.Research limitations/implicationsThe limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.Originality/valueThis study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users' experiences, providing valuable insights for various stakeholders in the field.

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“…Thus, an individual’s belief in their capability to execute actions effectively influences their behavior. Our findings, consistent with Mensah et al . (2022), Shiferaw et al .…”

Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Self-efficacymentioning

confidence: 99%

Section: Research Model and Hypothesis Developmentmentioning

confidence: 99%

See 3 more Smart Citations

Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

Mohammed,

Rozsa

2024

BFJ

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Understanding the adoption and usage of gamified web tools by K-12 teachers in Turkey: A structural equation model

Bayrak,

Liman-Kaban

2024

Educ Inf Technol

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The primary objective of this research is to elucidate the factors influencing the acceptance and use of gamified web tools among K-12 teachers in Turkey, according to the Unified Theory of Acceptance and Use of Technology (UTAUT, Venkatesh et al., 2003). The study employed a causal research design, which allowed for the investigation of cause-and-effect relationships between the variables. To analyze the collected data, both simple and multiple linear regressions, along with a structural equation model (SEM), were employed. The results of the analysis indicated that performance expectancy, effort expectancy, and social influence exerted positive effects on teachers’ behavioral intention to use gamified web tools. Additionally, behavioral intention and facilitating conditions demonstrated positive influences on the actual usage duration of these tools. The UTAUT constructs, namely performance expectancy, effort expectancy, social influence, and facilitating conditions, were treated as independent variables in this study. The research findings revealed a negative correlation between performance expectancy and teachers’ behavioural intention to adopt and accept gamification as an instructional tool in education. However, the study also identified a positive relationship between effort expectancy, social influence, facilitating conditions, and teachers’ behavioural intention to adopt and accept gamification. Furthermore, the study’s results suggest that the organizational variable exhibits a significant relationship with teachers’ behavioural intention to embrace and accept gamification as a teaching tool in education.

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Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile

Vidal-Silva,

Sánchez-Ortiz,

Serrano-Malebrán

et al. 2024

Heliyon

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The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy

Cited by 11 publications

References 90 publications

Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

Understanding the adoption and usage of gamified web tools by K-12 teachers in Turkey: A structural equation model

Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile

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