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

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.

Author(s):  
Regina Eka Riantini ◽  
Viany Utami Tjhin ◽  
Robertus Nugroho Perwiro Atmojo

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.


Author(s):  
Karim Mezghani ◽  
Mohammed AbdulAziz Almansour

This chapter attempts to study the intentions to use cloud-based CRM applications through a combination between a Technology Acceptance Model (TAM) and a Theory of Planned Behavior (TPB). To test the different links identified in the research model, a research questionnaire was prepared and sent to marketing managers within Saudi SMEs in Saudi Arabia. A total of 41 useful questionnaires were collected. The authors opted to the structural equation modeling (SEM) using the Partial Least Squares (PLS) to analyze data. The tests are prepared with XLstat software since it integrates both factor analysis and PLS modules. Among the main statistical analyses, the authors conclude that the TPB-TAM is suitable to study cloud CRM. From a managerial perspective, the authors expect that cloud CRM is perceived with good impression and that this new technology should be implemented strongly and gradually in SMEs to improve the quality of services provided to customers and organizations.


2021 ◽  
Vol 13 (4) ◽  
pp. 2082
Author(s):  
Wilert Puriwat ◽  
Suchart Tripopsakul

Nowadays, the advance of the internet and mobile technologies have changed our daily life, not only in terms of consumption but in how business is done. Social media has been recognized as one of the potential online platforms for entrepreneurs especially in small and medium business establishments to cope with large corporations. This study aims to investigate elements affecting social media adoption for business purposes by adopting a well-known technology acceptance model—the unified theory of acceptance and use of technology (UTAUT). The data of 196 samples were collected via online questionnaires in Thailand using the structural equation modeling (SEM) technique employed to verify the proposed model with empirical data. The outcomes illustrate the performance and effort expectancy and social influence significantly influence behavior prospects to implement social media for business purposes. Facilitating conditions significantly contribute to affecting actual user behavior. Also, the authors investigated the moderating effect of all demographic and behavioral factors such as gender, age, daily spent time on social media, and entrepreneur status. The results of the one-way analysis of variance (ANOVA) analysis show that there are immense variances in the intention of social media behavior and use behavior due to age. Younger adults tend to be more adept with user behavior and behavioral intention more than older adults.


2012 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Alida Widianti ◽  
Muhammad Rifki Shihab

Beberapa tahun terakhir, muncul teknologi telekomunikasi baru yang disebut 3G. Secara umum, penggunaan 3G di Indonesia belum meluas dan merata. Melihat perkembangan penggunaan 3G di Indonesia tersebut, peneliti ingin mengetahui faktor yang paling berpengaruh terhadap adopsi 3G pada masyarakat Indonesia dengan mengambil populasi mahasiswa Universitas Indonesia. Pola adopsi 3G dapat diteliti berdasarkan beberapa model adopsi teknologi yang ada. Peneliti memilih Sarker’s and Wells’ Framework sebagai dasar hipotesis penelitian karena model-model adaptasi teknologi yang lain seperti Technology Acceptance Model dan Unified Theory of Acceptance and Use of Technology dinilai hanya menggambarkan teknologi secara umum sehingga kurang mempertimbangkan faktor-faktor khusus sehubungan dengan sifat dari 3G. Peneliti menyusun kuesioner tentang adopsi 3G dari model SEM yang dibangun berdasarkan Sarker’s and Wells’ Framework, kemudian menyebarkannya pada sampel mahasiswa Universitas Indonesia. Proses penyusunan model sampai interpretasi hasil perhitungan dilakukan dengan Structural Equation Modeling. Hasil analisis yang dilakukan menunjukkan bahwa saat ini framework milik Sarker dan Wells yang digunakan untuk menggambarkan adopsi perangkat mobile tidak cocok diterapkan pada adopsi teknologi 3G di Indonesia dengan populasi mahasiswa Universitas Indonesia.


Author(s):  
Princely Ifinedo

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.


2019 ◽  
Vol 118 (6) ◽  
pp. 25-35
Author(s):  
Vinay S

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.


2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989


2021 ◽  
Vol 13 (15) ◽  
pp. 8571
Author(s):  
Siti Fatimah Abd Rahman ◽  
Melor Md Yunus ◽  
Harwati Hashim

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.


Author(s):  
Angel M. Dzhambov ◽  
Peter Lercher ◽  
Drozdstoy Stoyanov ◽  
Nadezhda Petrova ◽  
Stoyan Novakov ◽  
...  

Background: Online education became mandatory for many students during the Coronavirus disease 2019 (COVID-19) pandemic and blurred the distinction between settings where processes of stress and restoration used to take place. The lockdown also likely changed perceptions of the indoor acoustic environment (i.e., soundscape) and raised its importance. In the present study, we seek to understand how indoor soundscape related to university students’ self-rated health in Bulgaria around the time that the country was under a state of emergency declaration caused by the COVID-19 pandemic. Methods: Between 17 May and 10 June 2020, we conducted a cross-sectional online survey among 323 students (median age 21 years; 31% male) from two universities in the city of Plovdiv, Bulgaria. Self-rated health (SRH) was measured with a single-item. Participants were asked how frequently they heard different types of sounds while at home and how pleasant they considered each of those sounds to be. Restorative quality of the home (the “being away” dimension of the Perceived Restorativeness Scale) was measured with a single-item. A priori confounders and effect modifiers included sociodemographics, house-related characteristics, general sensitivity to environmental influences, and mental health. Our analysis strategy involved sequential exploratory factor analysis (EFA), multivariate linear and ordinal regressions, effect modification tests, and structural equation modeling (SEM). Results: EFA supported grouping perceived sounds into three distinct factors—mechanical, human, and nature sounds. Regression analyses revealed that greater exposure to mechanical sounds was consistently associated with worse SRH, whereas no significant associations were found for human and nature sounds. In SEM, exposure to mechanical sounds related to lower restorative quality of the home, and then to poorer SRH, whereas nature sounds correlated with higher restorative quality, and in turn with better SRH. Conclusions: These findings suggest a role of positive indoor soundscape and restorative quality for promoting self-rated health in times of social distancing.


2019 ◽  
Vol 10 (1) ◽  
pp. 63-74
Author(s):  
Dona Primasari ◽  
Sudjono Sudjono ◽  
Nining Abriani

Abstract. The long-term objective of this research is to enrich the development of science, especially the development of SMEs related to the adoption of information technology with studies using the Technology Acceptance Model. The specific aim of the research is to examine what factors are inhibiting the adoption of e commerce technology in SMEs in Banyumas Regency, as well as examining whether e-commerce adoption has an impact on increasing the demand for product quantities in SMEs. Collecting data in this study was carried out by distributing questionnaires through direct interviews with SMEs in Banyumas District who were respondents. The sampling technique in this study using random sampling technique. Whereas for data analysis using Statistical Product and Service Solution (SPSS) version 22.0 and Structural Equation Modeling (SEM) with AMOS program. The results of the study show that the Technology Acceptance Model theory is able to explain the institutions of SMEs actors to use e-commerce technology. Keywords: E-commerce, perceived usefulness, perceived ease of use, use behavior,TAM (Technology Acceptance Model) Abstrak. Tujuan jangka panjang penelitian ini adalah untuk memperkaya perkembangan ilmu, khususnya pengembangan UMKM terkait dengan adopsi teknologi informasi dengan kajian menggunakan Technology Acceptance Model.  Tujuan khusus penelitian adalah untuk menelaah faktor-faktor apakah yang menghambat adopsi teknologi e commerce pada UMKM di Kabupaten Banyumas, serta menelaah apakah adopsi e- commerce berdampak pada peningkatan permintaaan kuantitas produk pada UKM. Pengumpulan data dalam penelitian ini dilakukan dengan menyebarkan kuesioner melalui antar langsung kepada pelaku UMKM di Kabupaten Banyumas yang menjadi responden.  Teknik pengambilan sampel dalam penelitian ini dengan menggunakan teknik random sampling. Sedangkan untuk analisis data mengunakan Statistical Product and Service Solution (SPSS) versi 22.0 dan Structural Equation Modeling (SEM) dengan program AMOS. Hasil penelitian menunjukkan bahwa teori Technology Acceptance Model  mampu menjelaskan instensi para pelaku UMKM untuk menggunakan teknologi e-commerce.  Hasil penelitian juga berhasil menerima 3 (tiga) hipotesis yaitu Perceived usefulnes  berpengaruh terhadap use behavior, Perceived ease of use berpengaruh terhadap use behavior, use behavior  berpengaruh terhadap peningkatan permintaan kuantitas produk.  Hasil penelitian juga menunjukkan implementasi e-commerce tidak berpengaruh terhadap persepsi manfaat (perceived usefulness), Implementasi e-commerce tidak berpengaruh terhadap persepsi kemudahan pengoperasian sistem  (perceived ease of use) atau dengan kata lain menolak 2 (dua) hipotesis lainnya.Keywords. E-commerce, perceived usefulnes, perceived ease of use, use behavior,peningkatan permintaan, TAM  (Technology Acceptance Model)


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