Development of the UTAUT2 model to measure the acceptance of medical laboratory portals by patients in Shiraz

Ravangard, Ramin; Kazemi, Zhila; Abbasali, Somaye Zaker; Sharifian, Roxana; Monem, Hossein

doi:10.19082/3862

Cited by 31 publications

(29 citation statements)

References 37 publications

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“…Our result is similar to the findings of Ravangard et al (2017) and Albugami and Bellaaj (2014). It is recommended that the quality of the website needs to be maintained in high standards in order to give faith to the students to use it more.…”

Section: Resultssupporting

confidence: 93%

Modified UTAUT2 Model for M-Learning among Students in India

Bharati

Srikanth

2018

IJLC

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Ubiquitous technologies have a great potential to enrich students' academic experience. Students are more interested in using interactive learning techniques apart from the traditional learning techniques. Several research studies for m-learning has been done in the USA, UK concentrating on students undergoing a graduation degree, especially subjects like engineering, arts, maths, science, etc. Hence the need has arisen to conduct a separate research on m-learning in the Indian context. This study proposes a modified UTAUT2 (unified theory of acceptance and use of technology) model with nine core independent determinants predicting the tenth dependent variables construct. Data analysis has been done using both the descriptive (frequency counts, percentages, and means) and inferential statistics (correlation analysis, multiple linear regression analysis and principal component analysis). This study aims to develop a new model that encompasses the factors affecting the utilisation of ubiquitous technology among students in institutes of higher education, particularly in India.

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Section: Resultssupporting

confidence: 93%

Modified UTAUT2 Model for M-Learning among Students in India

Bharati

Srikanth

2018

IJLC

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“…Hence, price value can serve as a behavioural intention predictor for mobile Internet adoption. Price value also shows a significant impact on intention to use (Ravangard et al, 2017).…”

Section: Price Valuementioning

confidence: 98%

Mobile Internet Adoption in Malaysian Suburbs: The Moderating Effect of Gender

Wong¹,

Leong²,

Puah³

2020

AJBR

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This study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify the factors affecting the adoption and use of mobile Internet in the Malaysian suburban context. Seven key constructs comprise performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and habit are used for the investigation. Gender is hypothesized to moderate the effects of the factors on behavioural intention and use behaviour. A self-administered questionnaire was adopted and a total of 403 usable responses were employed for the analysis, using partial least squares structural equation modelling. The findings of the analysis revealed that all key constructs (except social influence) affect mobile Internet adoption among suburban users. Gender was found to moderate the relationships among effort expectancy, social influence, hedonic motivation, price value, habit, and behavioural intention. Importance-performance map analysis for gender also demonstrated that awareness needs to be created for all factors (except price value) with slightly different weights for all factors. These findings provide crucial implications for mobile Internet service providers to formulate their strategies for suburban users. This study represents one of the few attempts to reveal the behavioural intention and use behaviour for mobile Internet among Malaysian suburban users by taking gender into consideration.

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“…The actual usage of a technology occurs when a person intends to use it. Evidence showed that behavioral intention has a direct impact on actual usage of technology (26,30,36).…”

Section: Behavioral Intention (Bi)mentioning

confidence: 99%

“…, Hoque and Sorwar (2017) (28), Hsu and Hsieh, (2017) (47), and Ravangard et al (2017)(36). Behavioral intention predicts the actual usage of BL.…”

mentioning

confidence: 97%

Factors Affecting the Acceptance of Blended Learning in Medical Education: Application of UTAUT2 Model

Azizi

Roozbahani

Khatony

2020

Preprint

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Background: Blended learning is a new approach toward improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that may influence the behavioral intention to use of blended learning in medical education.Methods: In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was UTAUT2. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypothesis.Results: The validity and reliability of the model constructs were acceptable. Performance expectance, effort expectance, social influence, facilitating conditions, hedonic motivation, price value and habit had a significant effect on students’ behavioral intention to use of blended learning. Additionally, Behavioral intention to use of blended learning also had a significant effect on students’ actual usage of blended learning (β=0.645, P≤0.01).Conclusion: The study revealed that the proposed framework based on UTAUT2 has good potential to identify factors influencing students' behavioral intention to using of blended learning. Universities can use the results of this study to design and implementation successful blended learning courses in medical education.

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Development of the UTAUT2 model to measure the acceptance of medical laboratory portals by patients in Shiraz

Cited by 31 publications

References 37 publications

Modified UTAUT2 Model for M-Learning among Students in India

Modified UTAUT2 Model for M-Learning among Students in India

Mobile Internet Adoption in Malaysian Suburbs: The Moderating Effect of Gender

Factors Affecting the Acceptance of Blended Learning in Medical Education: Application of UTAUT2 Model

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