An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19

AbstractThe social distancing due to the Covid-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may cause the hasty adoption of 5G smart learning technology. To investigate students' intentions toward smart learning, this article provides a theoretical framework premised on the technology acceptance model (TAM) by adding components from the social practise theory (SPT). Based on data analysis through Structural equation Modeling (SEM) of a survey (n = 375) conducted in China, we found that the choice of 5G smart-learning technology depends on the combined effect of Material (MAA), Meanings (MEA), and Competency access (COA) factors. The results illustrate that these are the effective factors for student’s intentions to adopt 5G smart-learning technology. These outcomes are intended to aid service providers and decision-makers in developing effective ways to increase smart learning use. These findings can also enable us to identify challenges affecting smart learning adoption and to contribute to the design and proper supply of smart learning programs in other countries.

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Factors Influencing the Use of Smartphones for Programing: A Structural Equation Modeling Approach

International Journal of Innovation and Technology Management ◽

10.1142/s0219877020500327 ◽

2020 ◽

Vol 17 (05) ◽

pp. 2050032

Author(s):

Asim Suleman A. Alwabel ◽

Said S. Al-Gahtani ◽

Ahmed Talab

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

End Users ◽

Ease Of Use ◽

Decision Makers ◽

Equation Modeling ◽

External Control ◽

Factors Affecting ◽

Hand Tool ◽

Acceptance Model

The ubiquitous application of smartphones and their advanced development have created an opportunity for using them as coding platforms. In this study, we compared between the use of personal computers (PCs) and smartphones to investigate the factors affecting the use of smartphones in programing. The behavioral intentions of smartphone end-users are inspired by the ease of use perception, enjoyment perception, programing anxiety, perception of external control, and smartphone design aesthetics. Although the [Formula: see text] value of the smartphone model was lower than that of the PC model, the end-users’ adoption decisions could have shifted toward accepting the use of smartphones for programing had their decisions been free of enforcement. In this study, design aesthetics and programing anxiety were introduced to Technology Acceptance Model 3 in an Arabic environment. Additionally, the model was creatively applied for guiding practitioners in two situations. First, when organizations are in the quest for emerging technology to replace the legacy technology, they might apply the presented side-by-side comparison of the use of PCs with that of smartphones in programing. Second, at a time when decision makers analyze what might hinder the adoption of a recently introduced technology, the model can be a successful hand tool guiding the top management in identifying technology acceptance interventions, an approach this research revealed. Furthermore, in this paper, the research implications and recommendations are presented for technology practitioners and designers.

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User Acceptance of Voice Recognition Technology

Advances in End User Computing - Evolutionary Concepts in End User Productivity and Performance ◽

10.4018/978-1-60566-136-0.ch010 ◽

2011 ◽

pp. 150-170 ◽

Cited By ~ 1

Author(s):

Steven John Simon ◽

David Paper

Keyword(s):

Technology Adoption ◽

Technology Acceptance ◽

Structural Equation ◽

Voice Recognition ◽

The United States ◽

Growth Potential ◽

Equation Modeling ◽

Modeling Analysis ◽

The Social ◽

Acceptance Model

Voice recognition technology-enabled devices possess extraordinary growth potential, yet some research indicates that organizations and consumers are resisting their adoption. This study investigates the implementation of a voice recognition device in the United States Navy. Grounded in the social psychology and information systems literature, the researchers adapted instruments and developed a tool to explain technology adoption in this environment. Using factor analysis and structural equation modeling, analysis of data from the 270 participants explained almost 90% of the variance in the model. This research adapts the technology acceptance model by adding elements of the theory of planned behavior, providing researchers and practitioners with a valuable instrument to predict technology adoption.

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Extending the Learning Technology Acceptance Model of WeChat by Adding New Psychological Constructs

Journal of Educational Computing Research ◽

10.1177/0735633120923772 ◽

2020 ◽

Vol 58 (6) ◽

pp. 1121-1143

Author(s):

Zhonggen Yu

Keyword(s):

Language Learning ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Large Scale ◽

Equation Modeling ◽

Future Research ◽

Learning Technology ◽

Significance Level ◽

Acceptance Model

The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann–Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a) conformity behavior can be integrated into the TAM to establish a fit model in WeChat use in language learning at the significance level .05, (b) self-esteem can be integrated into the TAM to establish a fit model in WeChat use in language learning at the significance level .05, and (c) there are no significant gender differences in the extended constructs in the TAM in WeChat use in language learning at the significance level .05. Future research may extend the constructs further in psychology in order to complement for missing links in current literature. It is also promising to establish a sociocultural TAM with respect to mobile device acceptance in both western and eastern contexts.

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User Acceptance of Voice Recognition Technology

End-User Computing ◽

10.4018/978-1-59904-945-8.ch069 ◽

2008 ◽

pp. 965-985

Author(s):

Steven John Simon ◽

David Paper

Keyword(s):

Technology Adoption ◽

Technology Acceptance ◽

Structural Equation ◽

Voice Recognition ◽

The United States ◽

Growth Potential ◽

Equation Modeling ◽

Modeling Analysis ◽

The Social ◽

Acceptance Model

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Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

Restaurant Business ◽

10.26643/rb.v118i6.7235 ◽

2019 ◽

Vol 118 (6) ◽

pp. 25-35

Author(s):

Vinay S

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Banking Sector ◽

Primary Data ◽

Equation Modeling ◽

Security Issues ◽

Acceptance Model ◽

Structured Questionnaire

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.

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Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i2.783 ◽

2017 ◽

Vol 4 (2) ◽

pp. 75-81 ◽

Cited By ~ 1

Author(s):

Vincent Valiant Coa ◽

Johan Setiawan

Keyword(s):

Structural Equation Modeling ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Social Presence ◽

Structural Equation ◽

Equation Modeling ◽

Intention To Use ◽

Generation Z ◽

Acceptance Model ◽

Behavioral Intention To Use

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

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Analisis Penggunaan E-Commerce Terhadap Peningkatan Permintaan Kuantitas Produk Pada UMKM di Kabupaten Banyumas (Suatu Pendekatan Teori Technology Acceptance Model)

JURNAL ILMU MANAJEMEN DAN BISNIS ◽

10.17509/jimb.v10i1.15371 ◽

2019 ◽

Vol 10 (1) ◽

pp. 63-74

Author(s):

Dona Primasari ◽

Sudjono Sudjono ◽

Nining Abriani

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Sampling Technique ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Acceptance Model ◽

Use Behavior

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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A comprehensive acceptance model for smart home services

International Journal of Data and Network Science ◽

10.5267/j.ijdns.2021.10.005 ◽

2022 ◽

Vol 6 (1) ◽

pp. 45-58 ◽

Cited By ~ 1

Author(s):

Amer Al-Husamiyah ◽

Mahmood Al-Bashayreh

Keyword(s):

Technology Acceptance ◽

Smart Home ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Smart Devices ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

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How is The Adoption of Digital Marketing Services for Smart City Application Users?

JOIV International Journal on Informatics Visualization ◽

10.30630/joiv.5.1.438 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Regina Eka Riantini ◽

Viany Utami Tjhin ◽

Robertus Nugroho Perwiro Atmojo

Keyword(s):

Technology Acceptance ◽

Smart City ◽

Structural Equation ◽

Mobile Apps ◽

Digital Marketing ◽

Coefficient Of Determination ◽

Equation Modeling ◽

Behavior Intention ◽

Use Of Technology ◽

Acceptance Model

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.

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Predictive factors of physicians’ satisfaction with telemedicine services acceptance

Health Informatics Journal ◽

10.1177/1460458219892162 ◽

2019 ◽

Vol 26 (3) ◽

pp. 1866-1880 ◽

Cited By ~ 9

Author(s):

Jonathan Kissi ◽

Baozhen Dai ◽

Courage SK Dogbe ◽

Jonathan Banahene ◽

Oyeh Ernest

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Predictive Factors ◽

Structural Equation ◽

Care Delivery ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Acceptance Model

Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today’s globalizing world that the success of telemedicine services relies on users’ satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians’ satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians’ behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians’ and patients’ satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.

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