Intention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model

A mobile health model supporting Ethiopia’s eHealth strategy

“…Dr. Garg and his research team utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) model, developed to investigate the antecedents and challenges in the adoption and use of the mobile-based IT solution. [52,53] His mHealth study for TB surveillance contributed to the UTAUT literature and expanded the understanding of the implementation of IT solutions in a public healthcare service delivery context. In addition, it provided measurable insight to determining the influence of four independent variables in the UTAUT model – effort expectancy, facilitating conditions, performance expectancy, and social influence – on health professionals’ intention to use the proposed mHealth solution.…”

Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model

“…Earlier studies in technology acceptance demonstrate that these constructs are important, e.g. Kulviwat et al (2009) with social influence, Zhou et al (2010) and Zhang et al (2011) with facilitating conditions, and Seethamraju et al (2018) with social influence and facilitating conditions. Thus, some constructs that were important in IS adoption may not be relevant for continuance intention.…”

“…In order for organizations to better realize the benefits of IT, they must understand the user behaviour, which cannot be successful without a deep understanding of the way individuals make use of an emerging technology such as mobile apps (Seethamraju et al 2018;Xu et al 2015). While various approaches can be used to encourage user adoption of an innovation, the long-term viability of a new information system (IS) hinges more on users' continuance behaviour than on their initial adoption decisions (Venkatesh et al 2011).…”

Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model

“…The unified theory of acceptance and use of technology (UTAUT) is established by Venkatesh et al (2003) in order to examine user behaviour towards the adoption of technology. In e-health domain, this theory has been used by several researchers to investigate user behaviour towards the adoption of e-health services (Hoque and Sorwar 2017;Kaium et al 2020;Seethamraju, Diatha, and Garg 2018). The UTAUT theory comprises four main factors, namely: performance expectancy, effort expectancy, social influence and facilitating condition.…”

“…Scale items for the construct of computer self-efficacy were adapted from Chow et al (2013). Measurement items for the construct performance expectancy, effort expectancy, social influence, facilitating condition and intention to adopt telemedicine health services were adapted from Seethamraju, Diatha, and Garg (2018) and Wang et al (2015). Next to this, scale items for the construct perceived vulnerability and perceived severity were adapted from Sun et al (2013).…”