scholarly journals THE EXTENDED UTAUT MODEL AND LEARNING MANAGEMENT SYSTEM DURING COVID-19: EVIDENCE FROM PLS-SEM AND CONDITIONAL PROCESS MODELING

2021 ◽  
Vol 0 (0) ◽  
pp. 1-23
Author(s):  
Rizwan Raheem Ahmed ◽  
Dalia Štreimikienė ◽  
Justas Štreimikis
Keyword(s):  
Social Isolation ◽  
Process Modeling ◽  
Self Efficacy ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Extended Model ◽  
User Behaviour ◽  
Utaut Model ◽  
Perceived Enjoyment ◽  
Mediating Factor

The undertaken research investigates the extended unified theory of acceptance and use of technology (UTAUT) model from the perspective of online education in the deadliest period of COVID-19. This research investigates the extended dimensions, for instance, mobile self-efficacy and perceived enjoyment besides traditional elements of the UTAUT model with the relationship of behavioural intention and user behaviour of LMS. Since the COVID-19 led to social isolation (SIS), thus, this study has incorporated SIS as mediating factor and fear of COVID-19 (FOC) as the moderating factor for the considered extended model of UTAUT. The data of 1875 respondents was collected from five different Asian countries. For the data analysis, this study employed structural equation modeling through PLS-SEM and condition process modeling. This research demonstrates that the extended dimensions such as mobile self-efficacy, besides the traditional elements of the UTAUT model, exerted a cogent impact on behavioural intention except for the perceived enjoyment. Similarly, the behavioural intention demonstrated a substantial effect on the user behaviour of LMS. Additionally, social isolation as a mediating factor and FOC has a significant effect between dimensions of extended UTAUT model and behavioural intention of LMS. The outcomes of this research demonstrate significant theoretical and practical implications during the COVID-19 pandemic.

scholarly journals Using Blended Project-Based Learning for Students’ Behavioral Intention to Use and Academic Achievement in Higher Education

2021 ◽  
Vol 11 (5) ◽  
pp. 207
Author(s):  
Mahdi Mohammed Alamri
Keyword(s):  
Academic Achievement ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Project Based Learning ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Point ◽  
Perceived Enjoyment ◽  
Behavioral Intention To Use

This research focused on the potential of project-based learning and blended learning, which offer a distinctive cross-point in regard to building 21st-century skills in the classroom. Specifically, this research hypothesized that using the BPBL approach has an effect on perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. To achieve the research goal, we employed a questionnaire as the main data collection method and dispensed it to 80 students, all of whom use the BPBL approach. The findings were obtained via a quantitative research method, structural equation modeling (SEM). We found a significant relationship between the BPBL approach and perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. Therefore, we believe that the BPBL approach enhances students’ behavioral intention to use and academic achievement in a blended project-based learning approach and allows sharing knowledge, information, and discussions. Thus, it is recommended that students use the BPBL approach for educational purposes, and they should also be encouraged to do so through their learning at university level.

scholarly journals A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

2019 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Md. Aftab Uddin ◽  
Mohammad Sarwar Alam ◽  
Abdullah Al Mamun ◽  
Tohid-Uz-Zaman Khan ◽  
Ayesha Akter
Keyword(s):  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Equation Modeling ◽  
Extended Model ◽  
Utaut Model ◽  
Adoption And Implementation ◽  
Actual Use ◽  
Facilitating Conditions ◽  
The Impact

Given the dearth of studies in developing and Asian countries’ context, the present study attempts to excavate the predictors of enterprise resource planning (ERP) adoption and implementation. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and open innovation literature, an extended model is proposed encompassing mediator and moderator variables. The study follows the deducting reasoning approach with the positivism paradigm. Out of 235 responses, the study used 225 replies collected through a self-administered sampling, and the data were analyzed by using PLS-based structural equation modeling. The study revealed that the hypothesized direct influences are significant except the influence of facilitating conditions on actual use. Likewise, the intention to use mediates the impact of facilitating conditions on the actual use of ERP. However, there is no moderating effect of education and firms’ size among the hypothesized influence. The study contributes to advance the previous findings by using an extended UTAUT model and validates results with the rest of the world.

scholarly journals Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jian Chen ◽  
Rui Li ◽  
Mi Gan ◽  
Zhiyan Fu ◽  
Fatao Yuan
Keyword(s):  
Influencing Factors ◽  
Explanatory Power ◽  
Education Level ◽  
Public Acceptance ◽  
Equation Modeling ◽  
Extended Model ◽  
Moderating Effects ◽  
Utaut Model ◽  
The Impact

Driverless buses are expected to play a vital role in the future, and better public acceptance will provide a social foundation for its development. In this study, two new variables, personal innovativeness (PI) and perceived risk (PR), were incorporated into the integrated technology acceptance model (UTAUT, unified theory of acceptance and use of technology) to construct an extended model, which was then applied to explore the influencing factors for the public acceptance of driverless buses. The quality of this extended model was verified through survey data collected in Chongqing, China. The structural equation modeling (SEM) method was adopted to quantitatively describe the impact of each factor on acceptance intention (AI) as well as the mutual influence relationships between the factors. The moderating effects of demographic attributes (gender, age, and education level) on each factor in the model were also analyzed. The results showed that PI and PR are the most critical factors that affect the public’s acceptance intention; effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating condition (FC) can also determine the acceptance intention to a certain extent; gender, age, and education level have exhibited significantly different moderating effects on the influencing factors. The explanatory power of the current research model for acceptance intention has reached 48%. This study has confirmed the applicability of the extended UTAUT model to the research of driverless bus acceptance and the research outcomes can serve as a reference basis for improving the service quality of driverless buses in China.

scholarly journals Validation of Non-Linear Relationships-Based UTAUT Model on Higher Distance Education Students’ Acceptance of WhatsApp for Supporting Learning

2020 ◽  
Vol 7 (2) ◽  
pp. 27-39
Author(s):  
Douglas Yeboah
Keyword(s):  
Distance Education ◽  
Social Influence ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Education Students ◽  
Cape Coast ◽  
Utaut Model ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study examined relationships among the exogenous constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) model to identify those that significantly predict others. Questionnaires were used to collect data from 273 distance education students pursuing various diploma, bachelor’s degree and post-graduate diploma programs at the Cape Coast study center of the Institute for Distance and e-Learning (IDeL) of the University of Education, Winneba in Ghana. Proportional stratified random sampling technique was employed to obtain the sample of students. The data were analyzed using Partial Least Squares – Structural Equation Modeling (PLS-SEM). The results indicated that in acceptance of WhatsApp for supporting higher distance learning, effort expectancy and social influence predict performance expectancy; mobile self-efficacy and facilitating conditions predict effort expectancy; and facilitating conditions predict social influence. Also, mobile self-efficacy was found to significantly predict behavioral intention. We recommend that prior to introduction of a new technology such as WhatsApp for supporting learning, necessary resources and training should be provided by educational administrators and faculty to the students. This would make the students perceive that they can use the technology effectively to bring about gains in their learning; and subsequently accept the technology.

scholarly journals Utilization decision towards LMS for blended learning in distance education: Modeling the effects of personality factors in exclusivity

2018 ◽  
pp. 309-333 ◽  
Keyword(s):  
Distance Education ◽  
Blended Learning ◽  
Self Efficacy ◽  
Structural Equation ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Personality Factors ◽  
Linear Relationships ◽  
Technology Experience ◽  
Variance Explained

Over the decades, personality factors (attitude, self-efficacy, anxiety and computer experience) have pervaded the underpinning determinants of behavioural intentions to accept and use emerging technologies, chiefly in purviews where integration is into the working processes that may be pro traditional. The chasm in the literature has been how these technology personality factors extensively relate within and among themselves in a definite model exclusive to these factors, and their overall variance explained in usage intentions. In view of this, the study adopted a quantitative design and employed the questionnaire for data collection from 267 distance education tutors from a countrywide spread. Findings from structural equation modeling (SEM) technique revealed ‘technology attitude’ and ‘technology experience’ to be major predictors of usage intentions. The direct effects of technology anxiety and self-efficacy on behavioural intention were fully mediated by technology attitude. Non-linear relationships showed that technology self-efficacy, experience and anxiety were all antecedents of attitude towards LMS, while ‘technology experience’ alone determined ‘technology self-efficacy’. The Important-Performance Map Analysis (IPMA) revealed attitude as the most important and performing construct in determining behavioural intention. Technology attitude had technology related self-efficacy as its most important and performing construct determinant. The overall variance explained by the derived model was 35%. The study recommended that technology attitude and experience should be prioritized in LMS-related blended learning implementation in distance education. It further proposed that future studies include moderators on technology personality factors in determining usage intentions to further improve the model’s robustness.

scholarly journals A Study on Influence of Web Quality and Self Efficacy on Massive Open Online Courses (MOOCs) Technology Adoption by Extending the Utaut Model with Reference to Student MOOC Users

2019 ◽  
Vol 7 (2) ◽  
pp. 47-53
Author(s):  
P B GovindAarajan ◽  
A R Krishnan
Keyword(s):  
Technology Adoption ◽  
Self Efficacy ◽  
Online Courses ◽  
Service Providers ◽  
Behavioural Intention ◽  
Massive Open Online Courses ◽  
Intention To Use ◽  
Massive Open Online ◽  
Utaut Model ◽  
Web Quality

Massive Open Online Courses (MOOCs) is one of the most innovative ideas in modern learning methods. It helps people for autonomous study and to share globally excellent learning resources. Despite of many advantages in adopting MOOCs, many research studies have indicated that majority of MOOC users discontinues the course whose intentions of users are not clearly known. The purpose of this research is to find the influence the Web Quality (WQ) and Self Efficacy (SE) on massive open online courses technology adoption by extending the UTAUT model. Two new constructs Web Quality (WQ) and Self Efficacy (SE) were added to the existing UTAUT model constructs Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC) and the behavioural intention to use MOOC is determined as per the model. The study was conducted among college students who use MOOC and hence the sampling technique used was purposive sampling. The statistical tools used for analysis of the data are cross-tabulation, regression and for this SPSS software was used. The research revealed that web quality (WQ), and Self efficacy (SE) has significant influence on behavioural intension to use MOOC. The implication of this research is that the service providers get more light on the important factors which influence the behavioural intention to use MOOCs and to know the technology acceptance of MOOC.

scholarly journals EXAMINING THE RELIABILITY AND VALIDITY OF RESEARCH INSTRUMENTS USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)

2018 ◽  
Vol 17 (2) ◽  
pp. 239-251
Author(s):  
Sane Hwui Chan ◽  
Yoon Fah Lay
Keyword(s):  
Science Teachers ◽  
Self Efficacy ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Efficacy Beliefs ◽  
Teaching Science ◽  
Partial Least Square ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Teaching Motivation

Understanding teacher’s behavioural intention in teaching science becomes a foundation to improve teacher education programme. Prior to the evaluation of the interrelation between teacher self-efficacy beliefs, teaching motivation, attitudes towards teaching science, and behavioural intention in teaching science, this research examines the reliability and validity of instruments used to measure the constructs. ‘Science Teaching Efficacy Belief Instrument-Form B’ (STEBI-B) was used to measure pre-service science teachers’ self-efficacy beliefs. ‘Work Tasks Motivation Scale for Teachers’ (WTMST) was used to measure teaching motivation. ‘Dimensions of Attitude towards Science’ (DAS) was used to measure attitudes towards teaching science whereas the ‘Behavioural Intention Scale’ was used to measure behavioural intention in teaching science among pre-service science teachers. Partial Least Square-Structural Equation Modelling approach was used to evaluate the reliability and validity of the instruments. Research findings concluded all instruments are valid and reliable to be used in future research. Key words: self-efficacy beliefs, teaching motivation, attitudes towards teaching science, behavioural intention, partial least square-structural equation modeling.

Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model

Metamorphosis ◽  
2018 ◽  
Vol 17 (2) ◽  
pp. 111-119 ◽  
Author(s):  
T. G. Saji ◽  
Deepa Paul
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Extended Model ◽  
Mobile Banking ◽  
Acceptance Model

This research, using an extended version of classical technology acceptance model (TAM), investigates the factors influencing the adoption behaviour of mobile technology in banking. Survey data on 214 banking customers in Kerala were analysed under a structural equation modeling (SEM) framework and the results confirm the usefulness of TAM in predicting mobile banking adoption behaviour. The exogenous constructs from the original TAM, perceived usefulness (PU), and perceived ease of use (PEU) along with two additional constructs in the extended model, perceived credibility (PC) and perceived self-efficacy (PSE), emerged out as significant antecedents of the behavioural intention of customers, especially of an educated youth, towards the use of mobile technology in banking. Findings ultimately suggest that accurate and consistent identification of customers’ propensity to adopt technology banking provides strategic map to banks from emerging markets to grow in underserved markets, achieve omni-channel presence, and disrupt value chain components.

The Role of Career Self-Efficacy on the Effect of Parental Career Behaviors on Career Exploration: A Study on School of Tourism and Hotel Management’ Students

2016 ◽  
Vol 3 (1) ◽  
pp. 143 ◽  
Author(s):  
Selahattin Kanten ◽  
Pelin Kanten ◽  
Murat Yeşiltaş
Keyword(s):  
Undergraduate Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Career Exploration ◽  
Equation Modeling ◽  
Survey Method ◽  
Hotel Management ◽  
Mediating Role ◽  
The Impact

This study aims to investigate the impact of parental career behaviors on undergraduate student’s career exploration and the mediating role of career self-efficacy. In the literature it is suggested that some social and individual factors facilitate students’ career exploration. Therefore, parental career behaviors and career self-efficacy is considered as predictors of student’s career exploration attitudes within the scope of the study. In this respect, data which are collected from 405 undergraduate students having an education on tourism and hotel management field by the survey method are analyzed by using the structural equation modeling. The results of the study indicate that parental career behaviors which are addressed support; interference and lack of engagement have a significant effect on student’s career exploration behaviors such as intended-systematic exploration, environment exploration and self-exploration. In addition, it has been found that one of the dimensions of parental career behaviors addressed as a lack of engagement has a significant effect on career self-efficacy levels of students. However, research results indicate that student’s career self-efficacy has a significant effect on only the self-exploration dimension. On the other hand, career self-efficacy has a partial mediating role between lack of engagement attitudes of parents and career exploration behaviors of students.

scholarly journals Multilevel Pathways of Colorectal Cancer Screening Among Low-Income Vietnamese Americans: A Structural Equation Modeling Analysis

2021 ◽  
Vol 28 ◽  
pp. 107327482110110
Author(s):  
Grace X. Ma ◽  
Lin Zhu ◽  
Timmy R. Lin ◽  
Yin Tan ◽  
Phuong Do
Keyword(s):  
Health Beliefs ◽  
Low Income ◽  
Self Efficacy ◽  
Limited English Proficiency ◽  
Structural Equation ◽  
Vietnamese Americans ◽  
Equation Modeling ◽  
Community Based ◽  
Related Factors ◽  
Crc Screening

Background: Colorectal cancer (CRC) disproportionately affects Vietnamese Americans, especially those with low income and were born outside of the United States. CRC screening tests are crucial for prevention and early detection. Despite the availability of noninvasive, simple-to-conduct tests, CRC screening rates in Asian Americans, particularly Vietnamese Americans, remain suboptimal. The purpose of this study was to evaluate the interplay of multilevel factors – individual, interpersonal, and community – on CRC screening behaviors among low-income Vietnamese Americans with limited English proficiency. Methods: This study is based on the Sociocultural Health Behavior Model, a research-based model that incorporates 6 factors associated with decision-making and health-seeking behaviors that result in health care utilization. Using a community-based participatory research approach, we recruited 801 Vietnamese Americans from community-based organizations. We administered a survey to collect information on sociodemographic characteristics, health-related factors, and CRC screening-related factors. We used structural equation modeling (SEM) to identify direct and indirect predictors of lifetime CRC screening. Results: Bivariate analysis revealed that a greater number of respondents who never screened for CRC reported limited English proficiency, fewer years of US residency, and lower self-efficacy related to CRC screening. The SEM model identified self-efficacy (coefficient = 0.092, P < .01) as the only direct predictor of lifetime CRC screening. Educational attainment (coefficient = 0.13, P < .01) and health beliefs (coefficient = 0.040, P < .001) had a modest significant positive relationship with self-efficacy. Health beliefs (coefficient = 0.13, P < .001) and educational attainment (coefficient = 0.16, P < .01) had significant positive relationships with CRC knowledge. Conclusions: To increase CRC screening uptake in medically underserved Vietnamese American populations, public health interventions should aim to increase community members’ confidence in their abilities to screen for CRC and to navigate associated processes, including screening preparation, discussions with doctors, and emotional complications.

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