A comparison of the different versions of popular technology acceptance models

Cataluña, Francisco Javier Rondán; Arenas-Gaitán, Jorge; Ramírez-Correa, Patricio

doi:10.1108/k-09-2014-0184

Cited by 169 publications

(151 citation statements)

References 29 publications

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“…It is asserted that UTAUT model is better than previous model in terms of explanatory power (Venkatesh et al, 2003(Venkatesh et al, , 2012. UTAUT model plays a key role in the academic sciences about technology acceptance of users and it helps to explain why users accept or reject particular technology (Lai, 2017;Rondan-Catauna et al, 2015;Samaradiwakara & Gunawardena, 2014). This research does not examine how UTAUT model performs in explaining Cambodian users' behavior intention towards mobile payment.…”

Section: Literature Surveymentioning

confidence: 99%

An empirical analysis of Cambodian behavior intention towards mobile payment

Do¹,

Tham²,

Khatibi³

et al. 2019

10.5267/j.msl

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Mobile payment is becoming an evitable trend in the globe and is well expanding rapidly into emerging countries. Many research models are developed and confirmed that behavior intention is an important fact which decides the level of using mobile payment among users. The existing research models have made empirical evidences confirming behavior intention depended on performance and effort expectancy. This research expands previous empirical evidence by involving perceived transaction speed as an important explanatory variable to both performance expectancy and effort expectancy and also captures how behavior intention is influenced by performance expectancy and effort expectancy among Cambodian users. A total of 200 questionnaires were collected, analyzed and summarized for this study. Result reveals that performance expectancy and effort expectancy affect positively and significantly on behavior intention. Perceived transaction speed has a positive and significant relationship with effort expectancy but Perceived transaction does not have any positive and significant relationship with performance expectancy. Result from this study also concludes the role of perceived transaction speed which is affecting intention to use mobile payment among users. However, there are some limitations to be addressed for the future researches; this research may include larger samples to find out the clear effect on behavior intention of the end-users.

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Section: Literature Surveymentioning

confidence: 99%

An empirical analysis of Cambodian behavior intention towards mobile payment

Do¹,

Tham²,

Khatibi³

et al. 2019

10.5267/j.msl

View full text Add to dashboard Cite

show abstract

“…Finally, although the ratio of the explained variance of the intention to use SVP for learning by the independent variables of the model is within the accepted range for this phenomenon [57], there is still an unexplained proportion. Therefore, we believe that it is necessary to continue in this line of work to increase this percentage.…”

Section: Discussionmentioning

confidence: 91%

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

2019

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This study aims to predict and explain the acceptance of social video platforms for learning. A research model is proposed that explains that the intention of using these platforms is based on the perception of performance, social influence, and hedonic motivation. To validate the model, 568 Brazilian YouTube users were surveyed. The data were analyzed with partial least squares structural equations modeling (PLS-SEM). In particular, the predictive power of the model was assessed using the PLSpredict procedure. The results of this study can help to understand and forecast the use of these platforms for learning in developing countries.

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“…the real use of technology, UTAUT2 explains 56% of variance compared to the 40% explained by UTAUT on the same set of data. In 2015, Rondan-Cataluna et al [14] compared the TRA, TAM, TAM2, TAM3, UTAUT and UTAUT2 models and showed that UTAUT2 has a 26% better power of explaining than the TAM models on the sample of end-users of mobile Internet, i.e. in the consumer context.…”

Section: Technology Acceptance Modelsmentioning

confidence: 99%

Evaluation of Electronic Programme Guide Adoption Using UTAUT2 Based Model

2018

Teh. vjesn.

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In this paper we describe research in the ways in which consumers reach the information on television programme schedule and what motivates them to use the electronic programme guide service. The research was carried out using the Unified theory of acceptance and use of technology 2 (UTAUT2) model on a sample of N=234 respondents in the Republic of Croatia. The survey found that, when consumers want to get information about programme scheduling or event information, 55.5% of them first choose to use the electronic programme guide (EPG), and that the rest of them rather use teletext, Internet portals and smartphone applications or printed programme guides as a first choice. The research model based on UTAUT2 explained almost 90% of the variance in behavioural intention to use the electronic programme guide and 78% of the variance in use of the EPG. The intention to use the EPG is driven mainly by the user's habit with more than 50% of influence on the behavioural intention, followed by the users' perception that the EPG as a solution gives them high quality information which they can retrieve quickly, as well as ease of use of the EPG application and the fact that it is free to use. The actual use of the EPG is influenced by the facilitating conditions which include availability of an electronic programme guide on every television set or digital receiver and users' perception that they know how to use the application, habit and intention to use. Indirectly, through the intention to use, the fact that the electronic programme guide is quick and reliable, easy to use and free also plays a major role in use behaviour.

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A comparison of the different versions of popular technology acceptance models

Cited by 169 publications

References 29 publications

An empirical analysis of Cambodian behavior intention towards mobile payment

An empirical analysis of Cambodian behavior intention towards mobile payment

Predicting and Explaining the Acceptance of Social Video Platforms for Learning: The Case of Brazilian YouTube Users

Evaluation of Electronic Programme Guide Adoption Using UTAUT2 Based Model

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