scholarly journals Business Students’ Continuance Intention toward Blackboard Usage: An Empirical Investigation of UTAUT Model

2017 ◽  
Vol 13 (1) ◽  
pp. 120 ◽  
Author(s):  
Maroua M. Bouznif
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Business Students ◽  
Traditional Education ◽  
Equation Modeling ◽  
Continuance Intention ◽  
King Saud University ◽  
Utaut Model ◽  
Use Of Technology

The use of Blackboard in the traditional education systems is gaining its popularity in the public Saudi universities. Therefore, this research aims to investigate this phenomenon within a special emphasis on Business students at King Saud University (KSU). This study is based on unified theory of acceptance and use of technology (UTAUT) to examine students' pursuit intention toward Blackboard usage, including the influential role of satisfaction in technology acceptance and use. The research data were gathered through an online survey of 170 Business students where the participation was voluntary. In addition, the structural equation modeling (SEM) was used to test the overall efficacy of UTAUT model and the mediating relationship among variables within the effect of satisfaction. The results indicate that satisfaction plays an essential role on the predication of continuance intention as an independent and mediating variable. However, performance expectancy, effort expectancy, and superior influence have no direct significant impact on continuance intention.

scholarly journals Exploring the Effect of Coupon Proneness and Redemption Efforts on Mobile Coupon Redemption Intentions

2016 ◽  
Vol 8 (6) ◽  
pp. 1
Author(s):  
Ernesto Gonzalez
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Reasoned Action ◽  
Action Theory ◽  
Business Students ◽  
Descriptive Analysis ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Mobile Coupons ◽  
The Impact

<p>This paper examined the impact of coupon proneness and redemption efforts on the intention to redeem or use mobile coupons from the smartphones in a sample of business students at Florida National University. The descriptive analysis, which was based on the Theory of Reasoned Action, Theory of Plan Behavior, Acquisition-Transaction Utility Theory, Unified Theory of Acceptance and Use of Technology, and The Technology Acceptance Model Theory, used the coupon proneness, redemption efforts and the intention to redeem or use mobile coupons scales adapted to mobile coupons setting. Structural equation modeling revealed two subcomponents of the coupon proneness (coupon propensity and enjoyment) and high and significant values of coupon propensity and enjoyment on the intention to redeem or use mobile coupons for the groups of students. However, the impact of redemption efforts on the intention to redeem or use mobile coupons was negative as expected, but weak and not significant.</p>

The Technology Acceptance Model (TAM) and the Continuance Intention

2011 ◽  
pp. 29-44
Author(s):  
Princely Ifinedo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Computer Anxiety ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Use Of Technology ◽  
Acceptance Model ◽  
The Impact

In this study, we investigate the influence of two external influences i.e., Ease of finding and Computer anxiety on the technology acceptance model (TAM) and the continuance intention of using a popular course management system (CMS): WebCT. The study used a sample of 72 students that have experience using the software. The students came from four local higher education institutions. In order to study nature of the relationships among the constructs, eight (8) hypotheses were formulated and tested using a structural equation modeling technique: Partial Least Squares (PLS). The predictive power of the model was adequate and the study found support for seven of eight hypotheses. Regarding the impact of the antecedents on continuance intention in the use of technology, the results offer the following insights: when computer anxiety is low, students are able to use the system without much difficulty, and are likely to continue to use CMS in the future. Similarly, students will continue the tool as long as they find it easy to navigate. Perhaps due to contextual factors, the data did not support the relationship between Perceived usefulness and Usage. This particular finding is at variance with the TAM’s results and viewpoint. The study’s implications for research and practice are succinctly outlined.

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.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

How is The Adoption of Digital Marketing Services for Smart City Application Users?

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Regina Eka Riantini ◽  
Viany Utami Tjhin ◽  
Robertus Nugroho Perwiro Atmojo
Keyword(s):  
Technology Acceptance ◽  
Smart City ◽  
Structural Equation ◽  
Mobile Apps ◽  
Digital Marketing ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Behavior Intention ◽  
Use Of Technology ◽  
Acceptance Model

Smart City Mobile Apps is currently being developed by property developers in major cities in Indonesia and is used by businesses to market their products through the application. The method used to see how well the implementation of digital marketing in Smart City Mobile Apps is to combine the TAM (Technology Acceptance Model) and UTAUT (Unified Theory of Acceptance and Use of Technology) models. Questionnaire data were processed using the Structural Equation Modeling (SEM) method. The results of the study stated that the company's digital marketing strategy through Smart City Mobile Apps is already good where it can be seen from the value of adoption of Smart City Mobile Apps users in utilizing this application which is quite large at 0.764 based on the coefficient of determination. The variable that most influences consumers to use applications in finding trade information in the Smart City is the attitude variable with an influence value of 0.412 and the behavior intention to use with an influence value of 0.726. This shows that the intention behavior of the application and the trust in the benefits of the application can encourage users to use this application for purchasing their daily needs.

Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective

2020 ◽  
Vol 27 (4) ◽  
pp. 1591-1614 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Individual Performance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.

scholarly journals Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model

SAGE Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 215824402094185
Author(s):  
Liyong Wan ◽  
Shoumei Xie ◽  
Ai Shu
Keyword(s):  
University Students ◽  
User Satisfaction ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Mediating Role ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task–technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students’ continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464 respondents, structural equation modeling is adopted to assess the model. The results reveal that performance expectancy, effort expectancy, social influence, and user satisfaction are the crucial predictors of university students’ continued intention. TTF has an indirect influence on continued intention through user satisfaction. Performance expectancy is affected both by effort expectancy and TTF. Facilitating conditions do not directly influence continued intention; however, they present indirect influences in that they play a mediating role for user satisfaction. The findings help researchers and practitioners to attain a better understanding of university students’ continued usage intention of MOOCs. The implications and limitations of this study are also described.

Sport content and virtual reality technology acceptance

2019 ◽  
Vol 10 (1) ◽  
pp. 83-103
Author(s):  
Reinhard E. Kunz ◽  
James P. Santomier
Keyword(s):  
Virtual Reality ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Influencing Factors ◽  
Structural Equation ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Content Type ◽  
Content Quality ◽  
Use Of Technology

PurposeNotwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer behavior at the intersection of sport content and media technology acceptance is limited. Virtual reality (VR) is a re-emerging and nowadays commercially available technology that impacts sport consumed through media. The purpose of this paper is to investigate the consumer acceptance of VR technology and highlight the effects of content quality and flow experience as influencing factors of behavioral intention.Design/methodology/approachBased on a literature review, the authors constructed and empirically tested a model that extends the unified theory of acceptance and use of technology (UTAUT2) by considering additional antecedent factors. Participants (N=570) in the empirical study viewed sport content via VR technology (Sport VR) and completed a survey before and after viewing. The authors conducted factor analysis and structural equation modeling.FindingsThree UTAUT2 influencing factors, i.e., performance expectancy, social influence and hedonic motivation, showed significant effects. Furthermore, flow and content quality had positive indirect effects. Thus, the quality of sport content and the state of flow that users experience when immersed in a VR environment are relevant factors that determine the performance expectations of consumers and their Sport VR usage intention.Originality/valueThis empirical study contributes to knowledge on consumer acceptance of a hedonic technology in a sport media context. Moreover, two factors extended the established UTAUT2 model.

scholarly journals A Study on the Influencing Factors of Continued Intention to Use MOOCs: UTAUT Model and CCC Moderating Effect

2021 ◽  
Vol 12 ◽  
Author(s):  
Yalin Li ◽  
Min Zhao
Keyword(s):  
Classroom Climate ◽  
Structural Equation ◽  
Model Performance ◽  
Moderating Effect ◽  
Open Educational Resources ◽  
Equation Modeling ◽  
Intention To Use ◽  
Utaut Model ◽  
Positive Effects ◽  
Use Of Technology

Massive Open Online Courses (MOOCs) is the product of “internet + education,” which offer the open educational resources to global students. This study analyzed the factors influencing the continued intention to use the MOOCs by students. To achieve research objectives, this study integrated the unified theory of acceptance and use of technology (UTAUT) and connected classroom climate (CCC). In this study, 312 valid samples were used to verify the hypothesis proposed with the help of structural equation modeling and PROCESS. The results showed that the factors of UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) had significant positive effects on continued intention to use MOOCs. More importantly, there was a significant moderating effect of CCC between UTAUT and the continued intention to use MOOCs. Based on this research the findings, implications and limitations are discussed.

scholarly journals An Empirical Study of Students’ Acceptance of Online Education during the COVID-19 Pandemic in Saudi Arabia

2021 ◽  
Vol 4 (3) ◽  
pp. p8
Author(s):  
Dalal Bamufleh ◽  
Lama Talat Alradady
Keyword(s):  
Saudi Arabia ◽  
Online Education ◽  
University Students ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Acceptance Model ◽  
The University

This paper seeks to explore factors that determine the university student’s acceptance and adoption behavior towards online education platforms in Saudi Arabia (SA) during the COVID-19 pandemic. The research relied mainly on two theories: Unified Theory of Acceptance and Use of Technology (UTAUT), and the Technology Acceptance Model (TAM). Five different constructs were utilized from those theories to investigate the university student’s intention toward using online education platforms. The proposed model and its five hypotheses were tested by conducting a quantitative survey across social media to university students from different regions around SA. For the model validity, the measurement model was analyzed using a structural equation modeling technique applied using SmartPLS software. The survey sample consisted of 708 university students in different regions of SA. The analysis results show that Performance Expectancy (PE) and Facilitating Conditions (FC) affect students’ Attitude toward Using (ATU) and that ATU positively affects Behavioral Intention (BI). Nevertheless, Effort Expectancy (EE) is not significantly related to ATU. Thus, the level of difficulty in using the online education platform is not an effective determinant factor that would change the student’s attitude.

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