Factors Affecting the Adoption of Social Media in Higher Education: A Systematic Review of the Technology Acceptance Model

2020 ◽  
pp. 571-584
Author(s):  
Noor Al-Qaysi ◽  
Norhisham Mohamad-Nordin ◽  
Mostafa Al-Emran
Keyword(s):  
Higher Education ◽  
Systematic Review ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Factors Affecting ◽  
Acceptance Model

scholarly journals Mobile Learning Adoption: A Systematic Review of the Technology Acceptance Model from 2017 to 2020

2021 ◽  
Vol 16 (05) ◽  
pp. 147
Author(s):  
Rawan A. Alsharida ◽  
Maytham M. Hammood ◽  
Mostafa Al-Emran
Keyword(s):  
Systematic Review ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Learning Context ◽  
Factors Affecting ◽  
Online Databases ◽  
Adoption Research ◽  
Questionnaire Surveys ◽  
Acceptance Model ◽  
Facilitating Conditions

Numerous review studies were conducted in the past to understand the applicability of the technology acceptance model (TAM) in m-learning context by examining several issues. Although each of those studies provided a valuable synthesis of TAM, further issues are still uncovered and call for further research. Therefore, this research aims to systematically review the existing TAM-based m-learning studies through the analysis of various issues, including the factors affecting the m-learning adoption, research methods, TAM progress over publication years, online databases, active countries, and sample size. Out of 458 articles collected, a total of 64 studies published between 2017 and 2020 were critically analyzed. The main results indicated that self-efficacy is the most frequent factor affecting the m-learning adoption, followed by subjective norm, enjoyment, mobile anxiety, facilitating conditions, social influence, innovativeness, and satisfaction, respectively. Additionally, most of the analyzed studies have relied on questionnaire surveys in collecting their empirical data. Although it was developed in 1989, the results showed that the number of TAM-based m-learning studies is increasing year by year, which in turn, increases the credibility of the model in explaining the users’ intentions towards technology adoption. We have also discussed the contributions of this systematic review and the implications that it could yield for future attempts.

Employing the technology acceptance model in social media: A systematic review

2020 ◽  
Vol 25 (6) ◽  
pp. 4961-5002 ◽  
Author(s):  
Noor Al-Qaysi ◽  
Norhisham Mohamad-Nordin ◽  
Mostafa Al-Emran
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Acceptance Model

scholarly journals An Empirical Study to Explore the Adoption of E-Learning Social Media Platform in Taiwan: An Integrated Conceptual Adoption Framework Based on Technology Acceptance Model and Technology Threat Avoidance Theory

2021 ◽  
Vol 13 (17) ◽  
pp. 9946
Author(s):  
Mei-Hui Peng ◽  
Hsin-Ginn Hwang
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Learning System ◽  
Equation Modeling ◽  
Research Framework ◽  
E Learning ◽  
Threat Avoidance ◽  
Acceptance Model

Currently, social media is ubiquitous and essential for social networking and content sharing. It is an effective platform for teaching and learning in higher education and provides a novel way to communicate between instructors and pupils. Thus, the purpose of this study was to present a research framework to examine students’ motivation to adopt an e-learning system with social medial platforms. This cross-sectional study used the questionnaire to collect data from the students in Taiwan. A framework has examined students’ motivation to adopt an e-learning system with social medial platforms based on the modified technology acceptance model (TAM) and technology threat avoidance theory (TTAT). The research framework was evaluated by structural equation modeling (SEM) and represented by Smart-PLS. A total of 262 valid responses were used for statistical analysis. The results recommended modified research model explains 77.0% of the variance of motivation to adopt (R2 = 0.77). The findings also supported perceived usefulness, perceived ease of use, perceived cost, perceived effectiveness, and self-efficacy significantly influenced students’ motivation to use. Results also indicated threat appraisal, perceived susceptibility, and perceived severity are not significant factors for predicting students’ motivation to adopt e-learning in higher education.

scholarly journals The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7770
Author(s):  
Ali Mugahed Al-Rahmi ◽  
Alina Shamsuddin ◽  
Uthman Alturki ◽  
Ahmed Aldraiweesh ◽  
Farahwahida Mohd Yusof ◽  
...  
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Information System Success ◽  
System Success ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The current study explores the students’ behavioral intention to use social media and actual social media use in higher education, specifically the perception of their academic performance and satisfaction. The study is theoretically based on the technology acceptance model (TAM) with evaluation information system success models (ISSM). Theoretically, five independent constructs were identified as contributory to behavioral intention to use social media, and actual social media use towards the students’ satisfaction and performance impact was analyzed. A questionnaire survey based on the technology acceptance model (TAM) and information system success model (ISSM) was utilized as the key method for collecting data and disseminated to 1200 students from four public universities of Malaysia chosen through a random sampling technique. For data analysis, the SPSS and structural equation modeling (SEM-Amos) were used. Outcomes obtained from the students’ behavioral intention to use and actual social media usage indicates a positive and constructive influence on satisfaction and academic performance in higher education. In addition, both male and female students were satisfied with perceived usefulness (β = 0.095, t-value = 3.325, p < 0.001 and β = −0.045, t-value = −2.079, p < 0.001, respectively), perceived ease of use (β = 0.108, t-value = 3.29, p < 0.001 and β = 0.307, t-value = 12.365, p < 0.001, respectively), perceived technology fit (β = 0.14, t-value = 4.769, p < 0.001 and β = 0.277, t-value = 12.358, p < 0.001, respectively), information quality (β = 0.108, t-value = 3.825, p < 0.001 and β = 0.109, t-value = 5.087, p < 0.001, respectively), and system quality (β = 0.232, t-value = 7.573, p < 0.001 and β = 0.176, t-value = 7.429, p < 0.001, respectively). Therefore, we encourage students to use social media for educational purposes and encourage more interactions with peers at higher education institutions. The study’s empirical findings present strong support for the integrative association between the TAM and the ISSM in using online learning platforms to improve students’ academic achievements and satisfaction. This could help decision makers in universities, higher education institutions, and colleges to plan, evaluate, and implement online learning platforms in their institutions.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

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