scholarly journals Un análisis bibliométrico sobre el uso y la adopción de la educación en línea en la enseñanza superior

2021 ◽  
Vol 8 (2) ◽  
pp. 49-65
Author(s):  
Martin Ortega Azurduy
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Bibliometric Analysis ◽  
Structural Equation ◽  
Network Visualization ◽  
Equation Modeling ◽  
Future Research ◽  
Fields Of Study ◽  
Modeling Techniques ◽  
E Learning

This bibliometric analysis identifies and presents the articles that have given shape to the current research trends on the adoption and use of e-learning in higher education using structural equation modeling. Metadata for scholarly work was obtained from The Lens database, and network visualization was produced with VOSviewer. This study includes 414 articles published between 2006 and 2021. The results consider four thematic clusters, a list of the 10 most cited articles, a word cloud for fields of study, and two network visualization maps (citation and keywords). As the first bibliometric paper that addresses articles using structural equation modeling techniques, the main contribution of this paper is to quantitatively synthesize the large quantity of bibliometric metadata obtained and present the state, structure, and trends in the study of the adoption and use of e-learning in higher education. Specifically, this paper will introduce the most influential authors and papers, key themes, current and future areas of research. In conclusion, this paper should serve as a resource for future research, as well as, to be an example of how to carry out a basic bibliometric analysis.

scholarly journals Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach

2021 ◽  
Vol 13 (16) ◽  
pp. 9453
Author(s):  
Ahmad Samed Al-Adwan ◽  
Nour Awni Albelbisi ◽  
Omar Hujran ◽  
Waleed Mugahed Al-Rahmi ◽  
Ali Alkhalifah
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Learning Systems ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Success Model ◽  
System Use ◽  
E Learning ◽  
Students Satisfaction

In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

scholarly journals INTEGRATION AND USE OF THE INTERDISCIPLINARY KNOWLEDGE IN THE FIELD OF SPATIAL AND ECONOMICS/BUSINESS SCIENCES

2019 ◽  
Vol 21 (3) ◽  
Author(s):  
Polona Tominc ◽  
Vit Paszto ◽  
Samo Bobek ◽  
Simona Sternad Zabukovšek
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Literature Review ◽  
Conceptual Model ◽  
Systematic Literature Review ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interdisciplinary Field ◽  
Study Programs ◽  
Interdisciplinary Knowledge

This research arises from the importance of integration of knowledge of economics/business and spatial sciences for graduates who must think and act in interdisciplinary contexts.The systematic literature review revealed thatthis interdisciplinary field is richly present in original scientific research, and is undoubtedly topical and worthy of research efforts. Themain objective of this paper is toanalyse important factors that contribute to the attitudes of students towards interdisciplinary knowledge, and factors that shape their intentions to use and integrate this knowledge in the future. The conceptual model formed was tested using structural equation modeling (SEM). Research results confirm the importance of integration of economics/business and spatial sciences knowledge, for graduates. As presented in the paper, results of thestudyhave important implications for higher education institutions, reforming and updating their study programs, as well as for educators in the field of spatial sciences and economic/business sciences, in research and in education.

To Be Or Not To Be Visible In Company-Managed Virtual Communities?

2014 ◽  
Vol 5 (4) ◽  
pp. 20-37
Author(s):  
Imene Ben Yahia
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Quality ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Virtual Communities ◽  
Group Analysis ◽  
Virtual Community ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
The Relationship

This research investigates how the companies' efforts' visibility influence VCs members' loyalty. Based on the relationship marketing and the signaling theory, it posits that perceived benefits by members influence loyalty through the full mediation of the relationship investments and the relationship quality. However, this influence is moderated by the visibility of companies' efforts. Data from 342 members of company-managed virtual communities were collected. The sample was divided into two groups according to the visibility of the company's efforts. Data were analyzed using structural equation modeling techniques and multi-group analysis. Results show that this influence is significant when the efforts of the company are visible and not significant when they are not. Providing benefits to members is then not enough to foster loyalty. The company has to be a visible partner who contributes in the success of the virtual community.

scholarly journals Predicting Changes in PM Exposure Over Time at U.S. Trucking Terminals Using Structural Equation Modeling Techniques

2009 ◽  
Vol 6 (7) ◽  
pp. 396-403 ◽  
Author(s):  
Mary E. Davis ◽  
Francine Laden ◽  
Jaime E. Hart ◽  
Eric Garshick ◽  
Andrew Blicharz ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
Over Time

scholarly journals Electronic Word-of-Mouth for Online Retailers: Predictors of Volume and Valence

2019 ◽  
Vol 11 (3) ◽  
pp. 814 ◽  
Author(s):  
Bogdan Anastasiei ◽  
Nicoleta Dospinescu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Affective Commitment ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Electronic Word Of Mouth ◽  
Online Retailer ◽  
Important Impact ◽  
Online Retailers ◽  
Modeling Techniques

The goal of this research was to build a model that evaluates the influence of affective commitment, high-sacrifice commitment, and satisfaction on the customers’ word-of-mouth concerning an online retailer. Two word-of-mouth dimensions were considered: volume and valence. A survey was administered to 282 respondents and structural equation modeling techniques were used to process the data and test the hypotheses. Our findings show that satisfaction and high-sacrifice commitment have an important impact on both word-of-mouth volume and valence, while affective commitment only influences word-of-mouth valence. This paper offers detailed explanations of these results in light of other theories and studies in the field.

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