Determinants of virtual classroom adoption in Jordan: the case of princess Sumaya university for technology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Kasem Alrousan ◽  
Amro Al-Madadha ◽  
Mohammad Hamdi Al Khasawneh ◽  
Adiy Adel Tweissi
Keyword(s):  
Organizational Support ◽  
Behavioral Intentions ◽  
Virtual Classroom ◽  
Arab Countries ◽  
Learning System ◽  
Equation Modeling ◽  
Survey Method ◽  
Virtual Classrooms ◽  
Content Type ◽  
E Learning

Purpose The purpose of this study is to investigate the factors that affect students’ behavioral intentions to use virtual classrooms at Princess Sumaya University for Technology (PSUT) in Jordan. Design/methodology/approach A quantitative research approach was adopted, an online survey method was used and the data were collected among students at PSUT in Jordan. A total of 511 responses were usable for analysis. A structural equation modeling partial least squares technique was used to examine the hypothesized model. Findings The findings reveal that the proposed factors have direct and indirect relationships with behavioral intentions to use virtual classrooms. They show that students’ satisfaction has a direct influence on behavioral intention, while other variables such as instructor characteristics, virtual classroom quality, perceived self-efficacy, perceived organizational support, perceived ease of use and perceived usefulness have an indirect effect on behavioral intentions to use virtual classrooms. Research limitations/implications The study was conducted at PSUT in Jordan, which could limit the generalizability of the findings. Furthermore, the present study measured students’ behavioral intentions to use virtual classrooms and future research should consider the actual use of virtual classrooms. Practical implications The findings of this study offer significant and useful information to policymakers, instructors, developers and students regarding the use of virtual classrooms in universities. Based on students’ needs and readiness, the findings identify which factors to consider when developing an e-learning system to enhance learning and teaching performance. Originality/value This study extends existing knowledge by developing a conceptual model to identify the key factors of virtual classroom adoption in higher education institutions in Arab countries. This study contributes to the literature in the context of e-learning by validating an extended technology acceptance model from an Arab countries perspective and considering the differences in culture, learning style and physical environment compared to developed countries.

An exploratory study of health scientists’ data reuse behaviors

2017 ◽  
Vol 69 (4) ◽  
pp. 389-407 ◽  
Author(s):  
Soohyung Joo ◽  
Sujin Kim ◽  
Youngseek Kim
Keyword(s):  
Organizational Support ◽  
Exploratory Study ◽  
Scientific Data ◽  
Perceived Usefulness ◽  
Data Reuse ◽  
Health Science ◽  
Equation Modeling ◽  
Survey Method ◽  
Research Model ◽  
Content Type

Purpose The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors. Design/methodology/approach A survey method was utilized to investigate to what extent attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. The health scientists’ data reuse research model was validated by using partial least squares (PLS) based structural equation modeling technique with a total of 161 health scientists in the USA. Findings The analysis results showed that health scientists’ data reuse intentions are driven by attitude toward data reuse, community norm of data reuse, disciplinary research climate, and organizational support factors. This research also found that both perceived usefulness of data reuse and perceived concern involved in data reuse have significant influences on health scientists’ attitude toward data reuse. Research limitations/implications This research evaluated its newly proposed research model based on the theory of planned behavior using a sample from the community of scientists’ scholar database. This research showed an overall picture of how attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. This research is limited due to its sample size and low response rate, so this study is considered as an exploratory study rather than a confirmatory study. Practical implications This research suggested for health science research communities, academic institutions, and libraries that diverse strategies need to be utilized to promote health scientists’ data reuse behaviors. Originality/value This research is one of initial studies in scientific data reuse which provided a holistic map about health scientists’ data sharing behaviors. The findings of this study provide the groundwork for strategies to facilitate data reuse practice in health science areas.

How does task-technology fit influence cloud-based e-learning continuance and impact?

2019 ◽  
Vol 61 (4) ◽  
pp. 480-499 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Educational Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Comprehensive University ◽  
Content Type ◽  
E Learning ◽  
Task Technology Fit ◽  
Perceived Impact

Purpose According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant. Originality/value This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation–confirmation model with flow theory

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Flow Theory ◽  
Learning System ◽  
Theoretical Development ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Continuance Intention ◽  
Content Type ◽  
E Learning ◽  
Expectation Confirmation

PurposeThe purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.Design/methodology/approachSample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.FindingsSynthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.Originality/valueParticularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

Can tasks and learning be balanced? A dual-pathway model of cloud-based e-learning continuance intention and performance outcomes

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Performance Outcomes ◽  
Learning System ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Continuance Intention ◽  
Content Type ◽  
E Learning ◽  
Perceived Impact ◽  
And Performance

Purpose The purpose of this paper is to examine the roles of task-technology fit (TTF), learning-technology fit (LTF) and cognitive absorption (CA) in determining medical professionals’ cloud-based electronic learning (e-learning) system continuance intention and performance outcomes and evaluate whether medical professionals’ perceived impact on learning can affect their perceived impact on tasks within medical institutions. Design/methodology/approach Sample data for this study were collected from medical professionals at six hospitals in Taiwan. A total of 600 questionnaires were distributed, and 373 (62.2%) usable questionnaires were analyzed using structural equation modeling in this study. Findings In this study, medical professionals’ perceived TTF and LTF as antecedents to their cloud-based e-learning continuance intention and performance outcomes were validated, and medical professionals’ perceived impact on learning had a positive effect on their perceived impact on tasks. Synthetically speaking, this study’s results strongly support the research model with all hypothesized links being significant. Originality/value It is particularly worth mentioning that this study introduces a new construct, “LTF,” to conceptualize, define and measure it, and further contributes to the application of capturing both expectation–confirmation model and CA (i.e. an intrinsic motivator) for completely explaining medical professionals’ perceived TTF and LTF as external variables to their cloud-based e-learning continuance intention and performance outcomes.

Student learning outcomes and online engagement in time of crisis: the role of e-learning system usability and teacher behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Abed Dahleez ◽  
Ayman A. El-Saleh ◽  
Abrar Mohammed Al Alawi ◽  
Fadi Abdel Muniem Abdel Fattah
Keyword(s):  
Learning Outcomes ◽  
Teacher Behavior ◽  
Learning System ◽  
Equation Modeling ◽  
Research Approach ◽  
Content Type ◽  
Online Engagement ◽  
System Usability ◽  
E Learning

PurposeThis research explores the effect of e-learning Moodle-based system usability on students' learning outcomes with the possible intervening role of teacher's behavior and online engagement.Design/methodology/approachIn this research, the authors followed a quantitative methodology and a deductive research approach. Data were collected from 433 students at different study levels and academic specializations in higher education institutions (HEIs) in Oman. The data have been analyzed using partial least squares structural equation modeling via Smart-PLS.FindingsThe findings of this research show that e-learning system usability affects students' learning outcomes. Moreover, the relationship between these two variables is mediated by teacher behavior and students' online engagement.Originality/valueThis study is important as it adds to the understanding of the role of e-learning system usability in predicting student outcomes. From practical perspectives, especially during the spread of the COVID-19 pandemic, this study also helps practitioners at private HEIs use e-learning systems more efficiently and effectively to improve students' engagement and learning outcomes.

Assessing the Physicians' Acceptance of E-Prescribing in a Developing Country

2018 ◽  
Vol 26 (3) ◽  
pp. 121-142 ◽  
Author(s):  
Ikram Ullah Khan ◽  
Yugang Yu ◽  
Zahid Hameed ◽  
Safeer Ullah Khan ◽  
Abdul Waheed
Keyword(s):  
Developing Countries ◽  
Technology Acceptance ◽  
Organizational Support ◽  
Behavioral Intentions ◽  
Perceived Organizational Support ◽  
Theory And Practice ◽  
Integrative Model ◽  
Equation Modeling ◽  
Survey Method ◽  
Perceived Credibility

This article describes how physicians in developing countries spend much time and effort in handling manual prescriptions, which can be easily reduced with the help of online technology. Although different theoretical models for technology acceptance have been thoroughly explored, there is as yet sparse literature regarding its use in the context of healthcare in developing countries, especially with innovative models. To this end, this article uses an integrative model of Unified Theory of Acceptance and Use of Technology (UTAUT) extended by perceived credibility to better understand the acceptance of e-prescribing among physicians in a developing Asian country. In addition, the article uses perceived organizational support as a moderator between behavioral intentions and usage of technology. Using a survey method, the article collects data from 295 physicians in the capital city of Pakistan and analyzes the data through structural equation modeling (SEM) to evaluate relationships among the identified constructs. The authors' results supply empirical evidence that performance expectancy, effort expectancy, facilitating conditions, social influence, and perceived credibility all have a positive and significant impact on physicians' behavioral intentions to adopt e-prescribing. The article also concludes that the higher the perceived organizational support, the higher the use of e-prescribing. The study enriches theory and practice by giving implications for both academicians and practitioners.

scholarly journals SyTroN: A Virtual Classroom for Collaborative and Distant E-Learning System by Teleoperating Real Devices

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
R. Chellali ◽  
C. Dumas ◽  
Nicolas Mollet ◽  
G. Subileau
Keyword(s):  
Ad Hoc ◽  
Virtual Classroom ◽  
Learning System ◽  
In Situ Tests ◽  
Virtual Classrooms ◽  
Open Platform ◽  
Distant Learning ◽  
E Learning ◽  
Access To Knowledge

Distant E-learning is a main issue nowadays, and it is strongly motivated by social and economical considerations. The increased people mobility and the reduction of educational costs push to develop ad hoc solutions enabling to access to knowledge regardless to geographical situation and economical capabilities. These parameters should not be limits for good training: learning material's pertinence and efficiency have to remain the core of educational activities. In this paper we address the problem through SyTroN: a tele-learning system. This system combines virtual reality and teleoperation techniques to offer an open platform with two main objectives. The first one is to propose intuitive virtual classrooms/desks, including a real teacher supervision and supporting collaborative and individual distant learning. The second goal is to place learners in real conditions with remote connections to real devices allowing distant experimentations. Both goals participate to increase learning impacts and to reduce costs, that is, sharing costly real devices from anywhere at any time. After 5 years of development, our work has been validated by an extensive use at a high engineering school. In situ tests and learning impact studies have been done. They show some advantages and some drawbacks of our global solution.

The influence of perceived organizational support on dimensions of learning organization

2014 ◽  
Vol 21 (3) ◽  
pp. 206-219 ◽  
Author(s):  
Reza Salehzadeh ◽  
Ali Asadi ◽  
Javad Khazaei Pool ◽  
Mohammad Reza Ansari ◽  
Alireza Haroni
Keyword(s):  
Embedded System ◽  
Learning Organization ◽  
Organizational Support ◽  
Structural Equation ◽  
Perceived Organizational Support ◽  
Equation Modeling ◽  
Survey Method ◽  
Statistical Population ◽  
Content Type ◽  
Dimensions Of Learning

Purpose – The purpose of this study is to explore the influence of perceived organizational support on dimensions of a learning organization among employees of small- and medium-sized enterprises (SMEs) of Nowshahr in Iran. Design/methodology/approach – This paper used an empirical research design by the questionnaire survey method to test the research hypotheses. Statistical population of this research included employees of SMEs of Nowshahr in Iran. A random sample of 950 employees was asked to respond to questionnaires from which 336 were valid. Structural equation modeling was used to explore the influence of perceived organizational support on dimensions of a learning organization. Findings – The findings showed that perceived organizational support had a strong effect on the learning organization. In addition, perceived organizational support had effect on continuous learning, dialogue and inquiry, team learning, embedded system, empowerment, system connection and strategic leadership. In general, all hypotheses are statistically supported. Originality/value – This research may be one of the first papers exploring the influence of perceived organizational support on dimensions of the learning organization and offers a foundation for future organizational research.

scholarly journals Adoption of E-learning System in Higher Education Environments: Evidence from Modified UTAUT Model

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Wasim Qazi ◽  
◽  
Syed Ali Raza ◽  
Komal Akram Khan ◽  
Javeria Salam ◽  
...  
Keyword(s):  
Higher Education ◽  
Knowledge Acquisition ◽  
Knowledge Sharing ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Learning Systems ◽  
Learning System ◽  
Equation Modeling ◽  
Survey Method ◽  
E Learning

E-Learning has been an exceptional support for learners across the globe. Many people are using electronic media for different purposes. Hence, learners, especially students, can benefit from the electronic system as well. Therefore, the purpose of this study is to examine the adoption level of e-learning systems by using the extended model of UTAUT2. The data was collected using the survey method, and for this purpose, the five-point Likert scale has been used. The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling. The results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, knowledge acquisition, and knowledge sharing are positively linked with behavioral intention to use e-learning systems except for hedonic motivation. The modified model adds two new predictors: knowledge acquisition and knowledge sharing that influence students' acceptance of e-learning systems. Therefore, it will provide the educationists and policymakers a new insight into whether students are willing to adopt the E-learning system for daily use. Keywords: E-Learning System, Behavioral intention, Knowledge acquisition, Knowledge sharing, Higher education, PLS-SEM

Workplace ostracism and work-to-family conflict among female employees: moderating role of perceived organisational support

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Youngkeun Choi
Keyword(s):  
Organizational Support ◽  
Family Conflict ◽  
Perceived Organizational Support ◽  
Survey Method ◽  
Content Type ◽  
Female Employee ◽  
Workplace Ostracism ◽  
Perceived Organisational Support ◽  
Female Employees ◽  
The Relationship

Purpose Based on the conservation of resources theory, this study aims to develop and test the relationship between workplace ostracism and the work-to-family conflict of a female employee. And, it assumes that the direct link between workplace ostracism and the work-to-family conflict of a female employee is moderated by perceived organizational support. Design/methodology/approach For this, this study used a survey method and multiple regression analyses with multi-source data from 226 Korean female employees. Findings The results suggest the following. First, workplace ostracism was positively associated with the work-to-family conflict of a female employee. Second, there was a stronger positive relationship between workplace ostracism and work-to-family conflict for female employees with low as opposed to those with high levels of perceived organizational support. Originality/value To the best of author’s knowledge, this study is the first one to examine the moderating effect of perceived organizational support on the relationship between workplace ostracism and the work-to-family conflict of a female employee.

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