Explain the Behavior Intention to Use e-Learning Technologies

2015 ◽  
Vol 10 (4) ◽  
pp. 19-32
Author(s):  
Amin A. Shaqrah
Keyword(s):  
Technology Acceptance ◽  
Learning Technologies ◽  
Intention To Use ◽  
Learning Technology ◽  
Web Based ◽  
Behavior Intention ◽  
Use Of Technology ◽  
Technology Acceptance Models ◽  
Managerial Implications ◽  
E Learning

The purpose of this study is to explain the behavior intention to use e-learning technologies. In order to achieve a better view and validate the study, researcher attempts to give details of how technology acceptance models help Jordanian trainees firms in accepting e-learning technology, and how if applied will result more attention to usage behavior. Based on the data collected through a survey, stepwise multiple regressions were employed to test the research model. The results revealed that model which developed based on Unified Theory of Acceptance and Use of Technology” UTAUT” indicates that the Jordanian trainees' firms' behavior intention of e- learning technologies is positive affects by performance expectancy; effort expectancy; web-based training infrastructure; trust; culture; and behavioral intention. Managerial implications are further discussed.

Business Process Reengineering of Digital Learning Ecosystems

2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Technology Acceptance Models ◽  
Higher Institution ◽  
E Learning

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.

E-Technologies in Higher Education Provision

2011 ◽  
pp. 35-51
Author(s):  
Petros Ieromonachou ◽  
Nola Stair
Keyword(s):  
Higher Education ◽  
Relevant Literature ◽  
Learning Technologies ◽  
Future Planning ◽  
Web Based ◽  
Assessment And Evaluation ◽  
Use Of Technology ◽  
E Learning ◽  
Global And Local ◽  
Local Levels

Technology is always advancing; furthermore, the economy and demographics, both at global and local levels dictate changes that businesses need to consider for future planning. Like all businesses, most academic institutions need to follow trends and offer new and up-to-date learning initiatives. This chapter discusses the assessment and evaluation of Web-based postgraduate and undergraduate programmes, at the Business School of a London-based university. The study reviews relevant literature, investigates student and staff views on the use of technology in learning, and reflects on the planning and management of two Supported Open Learning (SOL) programmes. It also offers suggestions for future programmes and courses designed for use with e-learning technologies.

scholarly journals Studies employing the unified theory of acceptance and use of technology (UTAUT) as a guideline for the research: Literature review of the Saudi context.

2020 ◽  
Vol 7 (4) ◽  
pp. 18-23
Author(s):  
Abdulrahman M. Alshabeb ◽  
Omran Alharbi ◽  
Riam K. Almaqrn ◽  
Haifa Abdullah Albazie
Keyword(s):  
Technology Acceptance ◽  
Research Literature ◽  
Learning Technologies ◽  
Unified Theory ◽  
Positive Effects ◽  
Use Of Technology ◽  
E Learning ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Future Work

Theoretical framework models are widely employed by researchers because these models are able to provide an in-depth understanding of the phenomena under investigation. The models most commonly adopted by researchers in the field of e-learning are the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). This paper presents a review of studies that have included the UTAUT framework as a guideline for the research. More specifically, this paper concentrates on research that has been conducted in Saudi Arabia. The results of this review indicate that according to the review and an analysis of previous studies, facilitating conditions, performance expectancy and effort expectancy have positive effects on users’ intentions to integrate and adopt E-Learning technologies. Finally, this paper presents and highlights area for future work.

scholarly journals The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology

2021 ◽  
Vol 14 (4) ◽  
pp. 162
Author(s):  
Ping Qiao ◽  
Xiaoman Zhu ◽  
Yangzhi Guo ◽  
Ying Sun ◽  
Chuan Qin
Keyword(s):  
Technology Adoption ◽  
New Technology ◽  
Learning Technologies ◽  
Learning Technology ◽  
Unified Theory ◽  
Technology Evolution ◽  
Technology System ◽  
Utaut Model ◽  
Use Of Technology ◽  
E Learning

After the outbreak of COVID-19, schools heavily depend on e-learning technologies and tools to shift from in-person class to online. This review article analyzes the changes of technology evolution and technology adoption of e-learning in pre- and post-COVID-19 based on the Technology System Evaluation Theory (TSET) and technology adoption of e-learning based on the Unified Theory of Acceptance and Use of Technology (UTAUT). We intend to explore the interaction of technology evolution and technology adoption in the different focus of e-learning technology in the two stages and the particularity and heterogeneity of the UTAUT model. The results indicate that (1) The moderating results of technology evolution are proposed and evaluated under the UTAUT model before the COVID-19 outbreak. Studies after the COVID-19 pandemic paid more attention to technology efficiency rather than effectiveness; (2) Research on e-learning focuses on the infrastructure to reach more users after the outbreak of COVID-19 because e-learning is the only way to continue education; (3) COVID-19 fear moderates the relationship between the external factors and the behavior intention of e-learning users. The lack of financial support on technology evolution will directly weaken the implementation of new technology. Social Isolation offers more opportunities for students to engage in e-learning. Meanwhile, it slows down the implementation of e-learning because of out-to-date hardware and software. This article offers an enhanced understanding of the interaction of technology evolution and technology adoption under unexpected environments and provides practical insights into how to promote new technology in a way that users will accept and use easily. This study can be tested and extended by empirical research in the future.

scholarly journals Applying UTAUT in Predicting ESL Lecturers Intention to Use Flipped Learning

2021 ◽  
Vol 13 (15) ◽  
pp. 8571
Author(s):  
Siti Fatimah Abd Rahman ◽  
Melor Md Yunus ◽  
Harwati Hashim
Keyword(s):  
Second Language ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Teaching And Learning ◽  
Equation Modeling ◽  
Learning Approach ◽  
Intention To Use ◽  
Flipped Learning ◽  
Use Of Technology

Flipped learning empowers learners to take an engaging role in learning while educators assist the learning process. The employment of flipped learning has been confirmed to enhance the teaching and learning of English as a second language in previous studies. This study aimed to explore the application of the unified theory of technology acceptance and use of technology towards ESL lecturers’ intention to use flipped learning. This study used a quantitative research framework where a set of online questionnaires was used in collecting the data. A total of 206 English as a second language lecturers from four different universities participated in this study. The data were analyzed using structural equation modeling. The result of this study indicates that only social influence is significant in predicting English as a second language lecturers’ intention to use the flipped learning approach. Furthermore, this study enriches the literature on 21st century education and the integration of technology in teaching and learning. In addition, this study could help educators and stakeholders in adapting or enhancing the flipped learning approach by distinguishing the distinct predictors of technology acceptance.

scholarly journals The intention of South Africans to engage in collaborative consumption: The case of Uber

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Adele Berndt ◽  
Anmar Pretorius ◽  
Derick Blaauw
Keyword(s):  
Technology Acceptance ◽  
T Test ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
F Test ◽  
Collaborative Consumption ◽  
Electronic Data Collection ◽  
South Africans ◽  
Managerial Implications ◽  
Value Add

Orientation: The idea of collaborative consumption is developing among consumers, where underutilised or excess resources, skills and money are shared among peers for compensation. Collaborative consumption involves sharing, and as such, Uber, an app-based transport service enables those with spare vehicle capacity to provide a fee-based transport solution.Research purpose: This study investigates the intention to use this service in a South African context, specifically through the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) because of the suitability of these models in this context. Differences between regular and seldom users are also examined.Motivation for the study: With the widespread use of Uber in South Africa, understanding the factors contributing to the intention to use Uber requires examination.Research design, approach and method: Data were collected using a quantitative survey among panel respondents of South Africans, using electronic data collection. The research instrument comprised pre-existing items measured on a 6-point Likert scale. A total of 367 usable responses were received. Data analysis included testing for differences in means (t-test, Satterthwaite-Welch t-test, Anova F-test, Welch F-test) as well as regression analysis (by means of multiple regressions and two-stage least squares).Main findings: The findings indicate that South Africans intend to use the service largely due to their positive attitude towards the service, the perceived usefulness (PU) of the app and perceived behavioural (PB) control associated with the service. The value of the app has been highlighted in this research, and the importance of its functioning is evident.Practical/managerial implications: The importance of providing a positive service experience impacts the intention to use the service in the future. This emphasises the importance of the service itself and the functioning of the app.Contribution/value-add: Understanding the intention to use this service enables further development of this app and associated services.

scholarly journals Does Technology Readiness and Acceptance Induce more Adoption of E-Government? Applying the UTAUT and TRI on an Indonesian Complaint-Based Application

2020 ◽  
Vol 4 (1) ◽  
pp. 68
Author(s):  
Dhia Khalila Rinjany
Keyword(s):  
Technology Acceptance ◽  
Smart City ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Technology Readiness ◽  
Intention To Use ◽  
Technology System ◽  
Use Of Technology ◽  
Readiness Level ◽  
Facilitating Conditions

Most researches relating to the success of information and technology system application focus on two separate matters, namely technology readiness and technology acceptance. Both perspectives are used to observe how technology is adopted by users. However, very few studies test them both concurrently in a single research. This research, therefore, aims to conduct testing on the two concurrently without separating them. This article attempts to put two differing theories to the test, which are the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Readiness Index (TRI), in the context of e-government that is carried out via the Jakarta Smart City Program. To be more specific, the aJakarta Smart City Program analyzed in this study is the Qlue and CRM (Citizen Management Relationship) applications. The research method employed in this article is the quantitative method, wherein 225 respondents participated in this research to assess the level of technology readiness, the gathered data were subsequently processed by using the descriptive statistics analysis technique. Furthermore, 185 respondents also participated in observing how behavior influences the intention to use technology. These data were processed by using multiple linear regression analysis. Research results indicate that Jakarta SCR citizens’ technology readiness level can still be categorized as low and is identified as belonging to the Low Technology Readiness group, with a total TRI value of 2.7. Additionally, this research also shows that performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC) have positive and significant influence on the dependent variable, namely the behavioral intention to use the system (BIUS).

scholarly journals Intention to Use Mobile Learning in Higher Education Institutions: Review Paper

2020 ◽  
Vol 3 (2) ◽  
pp. 78-84
Author(s):  
Ayad Shihan Izkair ◽  
Muhammad Modi Lakulu ◽  
Ibtihal Hassan Mussa
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Associate Degree ◽  
Teaching And Learning ◽  
Review Paper ◽  
Higher Education Institutions ◽  
Educational Activity ◽  
Intention To Use ◽  
Use Of Technology

Mobile learning is presently taking part in associate degree more and more important role within the instructional method, additionally as within the development of teaching and learning ways for higher education. The power to find out ‘on the go– anytime, anywhere, is changing into more and more fashionable. The advantages offered by mobile learning are important. On the opposite hand, the implementation of mobile learning in educational activity relies on users’ acceptance of technology. Acceptance and intention to use mobile learning may be a topic of growing interest within the field of education. The model of the unified theory of acceptance and use of technology (UTAUT) is planned and developed by researchers via a mixture of eight major theories in activity prediction. UTAUT is among the foremost fashionable and up to date model in information technology acceptance. This is review paper aiming to review UTAUT’s previous studies of intention to use mobile learning. In conclusion, this research provides insight regarding the necessary factors for planning and designing an intention to use mobile learning model in higher education institutions.

Sign in / Sign up

Export Citation Format

Share Document