Unified Theory Of Acceptance And Use Of Technology Utaut And Venkatesh PdfBy Quartincminria In and pdf 20.05.2021 at 19:02 6 min read
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The world has changed a lot in the past years.
- Venkatesh et al.'s Unified Theory of Acceptance and Use of Technology (UTAUT) (2003)
- Unified theory of acceptance and use of technology
- Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
- Unified theory of acceptance and use of technology
Competing models evolved in the Information Technology acceptance research has different set of acceptance determinants. It is important to understand these models in totality and their acceptance in different areas of study. Venkatesh et al. The authors focused on the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. All these models when studied by using data from four organizations over a six month period, with three points of measurements led to the formulation of unified model, called the United Theory of Acceptance and Use of Technology UTAUT.
Venkatesh et al.'s Unified Theory of Acceptance and Use of Technology (UTAUT) (2003)
Metrics details. Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation.
In this cross-sectional, correlational study, the sample consisted of Iranian medical sciences students. Venkatesh et al. Structural equation modeling technique was used to test the hypotheses. The validity and reliability of the model constructs were acceptable.
Universities can use the results of this study to design and implement successful blended learning courses in medical education. Peer Review reports. Blended learning can be useful and effective in teaching clinical skills and medical education [ 1 , 2 , 3 , 4 ]. This approach is a good platform for linking theory and practice in the teaching-learning process [ 5 ]. Blended learning or hybrid learning is defined as the systematic integration of face-to-face learning and online learning [ 6 , 7 , 8 , 9 , 10 ].
In the blended learning environment, blending the online and face-to-face elements should be purposeful. Purposeful blending is defined as blending the tools, methods and technologies to accomplish educational purposes [ 11 ]. Some researchers use delivery medium, teaching place, teaching type and synchronicity dimensions to identify blended learning environments.
Delivery medium indicates whether education is provided by the technology or the teacher. Teaching place shows whether students receive education in the classroom or online. Synchronicity refers whether students are following a group pace or individual pace [ 12 ]. Therefore, the above dimensions should be taken into account in the blended learning environments.
An important point in the blended learning is that blending the potential of face-to-face and online education environments should be in line with increasing flexibility and achieving the learning goals. Hence, the learning environment should promote independence in learning, participation, interaction, self-assessment and cooperation [ 11 ].
Blended learning encourages learners to perform problem solving and confront challenges related to learning and sharing the learning experiences [ 13 ]. According to the results of studies by Liu et al.
The results of a meta-analysis showed that blended learning had a positive effect on knowledge acquisition in the health sciences [ 17 ].
The findings of another study showed that blended learning enabled students to use different learning styles [ 5 ]. Most comparative studies have shown that blended learning is more effective than the face-to-face or online learning approaches [ 17 , 18 , 19 ].
Therefore, it is important to identify the social, psychological, cultural and pedagogical factors that may influence the acceptance of blended learning. Garcia et al. Yeou reported that computer self-efficacy and perceived usefulness had an important role in the acceptance of blended learning [ 23 ].
As indicated above, blended learning is an effective approach in universities [ 20 ]. Therefore, it is important to identify the key factors affecting its acceptance.
The UTAUT model is one of the most important models in the field of technology adoption which has been developed by Venkatesh et al. This model is a new form of the technology acceptance model. This model consists of four main constructs regarding the intention and behavior of using a technology, including performance expectancy, effort expectancy, social influences and facilitating conditions [ 26 ]. The results of some studies have indicated the positive effect of PE on the behavioral intention [ 27 , 28 , 29 , 30 , 31 ].
This construct is similar to the construct of ease of use perceived in the technology acceptance model. Some studies have indicated that EE may predict behavioral intention to use the e-learning system [ 27 , 28 ]. Several studies have shown that SI has a significant influence on the behavioral intention of adopting a system [ 21 , 32 , 33 ]. In this regard, Sattari et al. According to studies, HM is one of the important factors in predicting the intention to use e-learning and mobile learning [ 32 , 33 ].
If the benefits of acceptance of blended learning are perceived to be greater than the monetary cost, students are more likely to accept it. In this regard, Moorthy et al. Some studies have shown that HT has a positive influence on the behavioral intention [ 24 , 32 , 33 ]. BI means the likelihood of a person to use a system. The actual use of a system occurs when a person intends to use it. Evidence suggest that BI has a direct impact on the actual use of system [ 26 , 30 , 36 ]. Samples were selected by stratified random sampling method.
The sampling stratum included the schools of KUMS. Sampling was performed in each stratum by stratified random method and using the table of random numbers. After distributing the questionnaires among the samples, questionnaires were finally collected.
The exclusion criterion included the incomplete questionnaires. Data were collected by a two-part questionnaire. The first section included demographic items about gender and age. The second section included blended learning items. In order to design the questionnaire items, we examined the questionnaires based on the UTAUT2 used in other studies [ 25 , 27 , 28 , 37 , 38 ].
The samples provided their responses on a 5-point Likert scale from 1 strongly disagree to 5 strongly agree. The content validity and face validity of the questionnaire were evaluated by eight experts and researchers in the field of medical education, blended learning and e-learning.
To determine the internal consistency, 35 questionnaires were distributed among the students. The data were analyzed by SPSS version The validity of the model constructs was determined by two types of validity, including convergent validity and discriminant validity. The acceptable levels were found to be greater than 0. The discriminant validity was assessed by comparing the correlation coefficients between the constructs and the square root of the AVE.
This study was conducted in Kermanshah, Iran in To get the list of students, we visited the department of education of each school of KUMS.
After selecting the samples, according to their classroom schedule, the researcher attended the schools to distribute the questionnaires. The research objectives were explained to the participants and their consent to participate in the study was taken. Next, the questionnaires were given to them to complete. In line with ethical requirements, the objectives of the study were explained to the participants. Furthermore, written informed consent was obtained from all of them.
Table 1. FL in all items were higher than 0. For all constructs, the CA reliability coefficients were higher than 0. According to these results, convergent validity was at an optimal level.
This index was evaluated using the square roots of the AVE. If the square root of the AVE of a factor is greater than the correlation coefficient of the factor, it can be stated that the questionnaire has good discriminant validity [ 41 , 42 ].
In this study, the results showed that the questionnaire had excellent discriminant validity Table 3. The results of the structural model test are presented in Fig. This study examined the factors affecting the acceptance of blended learning in medical education based on the unified theory of acceptance and use of technology 2 UTAUT2 framework. This finding was in line with the findings of Hoque and Sorwar and Suki and Suki [ 29 , 38 ].
Additionally, Abdekhoda et al. Therefore, the use of blended learning system in medical education is useful and valuable. The results of other studies confirm this finding [ 27 , 28 , 29 ]. In this regard, results of a study revealed that EE had a significant effect on the use of animation and storytelling [ 38 ].
Accordingly, the teaching-learning process seems to be easier in a blended learning environment. This finding was consistent with the results of other studies [ 21 , 29 , 34 , 38 ]. Similarly, Ain et al. The university management system and the attitudes of the faculty members and students are among the factors that shape the social and cultural atmosphere of the university.
We believe that the socio-cultural atmosphere can play a role in supporting and encouraging students to use the blended learning system. The results of the studies by Abdekhoda et al. Students should be provided with technological support such as high-speed internet and advanced computers to use the blended learning system. They should also have access to sufficient resources and information about blended learning.
Effective and successful implementation of the blended learning system requires good governance in higher education and advanced Information and Communication Technology ICT infrastructure [ 44 ]. This was in line with the findings of Tarhni et al. Moorthy et al. Enjoyable learning experiences are an important factor in using blended learning. A user-friendly environment and e-content have a significant impact on creating enjoyable learning experiences [ 45 ].
Therefore, educational designers should pay attention to these features. According to our findings, from the perspective of the Iranian students, inexpensive access to the blended learning materials and the use of the Internet were important factors involved in the acceptance of blended learning.
This result is consistent with the findings of the study of Moorthy et al.
Unified theory of acceptance and use of technology
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Venkatesh and J. Venkatesh , J. The unified theory of acceptance and use of technology UTAUT is a little over a decade old and has been used extensively in information systems IS and other fields, as the large number of citations to the original paper that introduced the theory evidences.
This study aims to verify the acceptance of e-books by identifying the effects of the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit, Price Value, and Hedonic Motivation, moderated by Age, Gender and Experience on the intention of use and actual use of this technology. Out of a universe of , Brazilian citizens directly involved with education, 1, completed an online survey. We analyzed the data via structural equations modeling; we obtained generalized least squares and standard errors via resampling Jackknife. The study concludes that Habit, Effort Expectancy and Facilitating Conditions are important for the adoption of e-books, and that Age, Gender and Experience are crucial moderators of these relations. De um universo de The digital book or e-book is the modern version of the book, a technological reading tool created in antiquity. According to Verazsto et al.
The technological improvement coupled with the growing use of smartphones has, among other functions, facilitated purchase and payment transactions through the mobile phone. This phenomenon occurs worldwide and provides individuals more flexibility and convenience in carrying out their daily activities. This article aims to evaluate the intention of adopting a future mobile payment service from the perspective of current Brazilian consumers of mobile phones, based on the Unified Theory of Acceptance and Use of Technology UTAUT. The survey was carried out with mobile customers of a telecommunications company that operates in southeastern Brazil, with a valid sample of respondents. This result serves as a guide to participants in the payments market to develop a service for mobile payments of good performance, easy to use, secure and promotes the action of the social circle of the individual at a fair price, in other words, that meets needs and expectations of today's mobile phone users. As well as serves as a stimulus to the development of communication and marketing strategies that highlight these positive attributes and awaken the intention of adoption of the service by the wider range of people as possible.. Understanding the impacts caused by technological innovations in people's lives is something that stimulates the interest of many social science researchers over time.
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
Metrics details. Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. In this cross-sectional, correlational study, the sample consisted of Iranian medical sciences students. Venkatesh et al.
The unified theory of acceptance and use of technology UTAUT is a technology acceptance model formulated by Venkatesh and others in "User acceptance of information technology: Toward a unified view". The theory holds that there are four key constructs: 1 performance expectancy, 2 effort expectancy, 3 social influence , and 4 facilitating conditions. The first three are direct determinants of usage intention and behavior, and the fourth is a direct determinant of user behavior.
Disaster management includes distributing logistical assistance to disaster victims. The implementation of this distribution must occur at the right time, at an appropriate location, on target and be appropriate to the needs of the victims. This research aims to design an information system to improve the performance of disaster relief operations by managing the information while monitoring and evaluating humanitarian relief operations. Agarwal, R. Decision Sciences 28 3 : —
Unified theory of acceptance and use of technology
This study aims to adopt the unified theory of acceptance and use of technology UTAUT model to assess travel purchase intentions in Fiji and Solomon Islands. This allows for new relationships to be tested. These two countries are chosen because they are both exemplars for developing countries in the Pacific, which are often overlooked in the literature.
The unified theory of acceptance and use of technology UTAUT is a technology acceptance model formulated by Venkatesh and others in "User acceptance of information technology: Toward a unified view". The theory holds that there are four key constructs: 1 performance expectancy, 2 effort expectancy, 3 social influence , and 4 facilitating conditions. The first three are direct determinants of usage intention and behavior, and the fourth is a direct determinant of user behavior. Gender, age, experience, and voluntariness of use are posited to moderate the impact of the four key constructs on usage intention and behavior. Subsequent validation by Venkatesh et al. From Wikipedia, the free encyclopedia. MIS Quarterly.
Venkatesh, Morris, Davis, and Davis () synthesized these models into the unified theory of acceptance and use of technology (UTAUT).
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