Mobile Payment Adoption: A Systematic Review of the UTAUT Model

Al-Saedi, Karrar; Al-Emran, Mostafa; Abusham, Eimad; Rahman, Sahar A. El

doi:10.1109/icfir.2019.8894794

Cited by 58 publications

(37 citation statements)

References 20 publications

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“…Additionally, the results showed that the number of studies, including the TPB model, is reasonable. These findings confirm the importance of studying various models as performed by [18,31], to better understand technology acceptance and facilitate building more unified models [74].…”

Section: Discussionsupporting

confidence: 71%

Technology Acceptance in Healthcare: A Systematic Review

2021

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Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.

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Section: Discussionsupporting

confidence: 71%

Technology Acceptance in Healthcare: A Systematic Review

2021

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“…The UTAUT gives better clarification regarding the likely predictors of the acceptance of technology (Vega et al 2019). The UTAUT specifically aim at addressing issues regarding reluctance towards accepting up-to-date instructional technologies (Al-Saedi et al 2019). Venkatesh et al (2003) made several recommendations on issues pertinent to subsequent integration of UTAUT framework for research activities.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Mediating effect of behavioural intention on podcast acceptance

2020

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This research contributes to knowledge in mediating effect of lecturers’ behavioural intention towards the acceptance of podcasts technology in universities. A cross-sectional quantitative research design was involved in this study. Also, a total of eight hundred and twenty-nine (829) lecturers participated in this research from three different south-west Nigeria Federal universities. The research instrument was titled lecturer’s acceptance questionnaire (LAQ) with a calculated Cronbach’s alpha of .919, which confirmed the instrument validity. The gathered data was analysed by using both descriptive and inferential statistics. The formulated hypothesis was tested at .05 level of significance. The result from descriptive analysis of data suggested that behavioural intention was at a low level among lecturers and the results of hypothesis testing revealed the effect of behavioural intention as partial mediator of podcast acceptance. Based on these findings relevant conclusions and recommendations were suggested in this research.

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“…There are a limited number of studies on the adoption of MP in Indonesia (Rosnidah, 2019). For example, Al-Saedi et al (2019) claimed that from 2008 to 2017, only one study of MP in Indonesia had been published in a reputable journal. This study aims to address this gap in the literature.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the adoption of mobile payment systems in Indonesia

Lisana

2021

IJWIS

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Purpose This empirical study aims to determine factors that influence an individual’s intention to use mobile payment (MP) systems. The study investigates direct, indirect and total effects as well as factors that mediate or moderate effects on intention. Design/methodology/approach A theoretical model is derived from previous studies and combines factors from technology acceptance model and unified theory of acceptance and use of technology (perceived usefulness, perceived ease of use, social influence, facilitating conditions, behavioral intention) with factors relevant to MP (perceived security, uncertainty avoidance, trust, network externalities and self-efficacy). Gender, age, MP experience and income are included as moderators of direct effects on behavioral intention. The sample includes 736 participants from the four large cities in Indonesia. Structural equation modeling is used to analyze and develop the theoretical model. Findings Self-efficacy has the greatest total effect on behavioral intention, followed in decreasing order of importance by perceived usefulness, perceived ease of use, social influence, trust, network externalities and uncertainty Avoidance. only gender and MP experience have significant moderating effects whereby the direct effects of self-efficacy and network externalities on behavioral intention are influenced by gender and MP experience, respectively. Trust, perceived usefulness and perceived ease of use have important mediation effects. Originality/value This study fills the gap in the limited theoretical understanding of MP adoption in Indonesia. New theoretical findings related to mediating and moderating effects, direct, indirect, and total effects are used to discuss important practical implications of the findings.

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Mobile Payment Adoption: A Systematic Review of the UTAUT Model

Cited by 58 publications

References 20 publications

Technology Acceptance in Healthcare: A Systematic Review

Technology Acceptance in Healthcare: A Systematic Review

Mediating effect of behavioural intention on podcast acceptance

Factors influencing the adoption of mobile payment systems in Indonesia

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