scholarly journals End-User Adoption of Bitcoin in South Africa

2018 ◽  
Vol 10 (5(J)) ◽  
pp. 230-243 ◽  
Author(s):  
Raphael Warren Jankeeparsad ◽  
Dev Tewari
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
Media Coverage ◽  
Perceived Usefulness ◽  
End User ◽  
South Africans ◽  
User Adoption ◽  
Crypto Currency ◽  
Acceptance Model ◽  
Facilitating Conditions

Since its introduction in 2008, the value and popularity of Bitcoin have risen exponentially.  Despite being 10 years old, the concept of crypto currency is fairly new in South Africa. The increase in the value of Bitcoin, together with extensive media coverage, has led to the creation of a Bitcoin economic system with many South Africans jumping on the Bitcoin bandwagon. This study aims to identify the determinants affecting end-user adoption of Bitcoin in South Africa and to determine the main use of the crypto currency by South Africans. A research model was developed utilising constructs from the technology acceptance model and theory of planned behaviour. The model was then tested empirically by utilising two survey-based questionnaires, one for current users of Bitcoin and one for non-users. For users, perceived usefulness and access to facilitating conditions were the primary determinants influencing their decision to adopt the crypto currency while lack of trust and social influences were the primary reasons non-users chose not to adopt Bitcoin.   

scholarly journals Investigating Users’ Continued Usage Intentions of Online Learning Applications

Information ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 198 ◽  
Author(s):  
Zhi Ji ◽  
Zhenhua Yang ◽  
Jianguo Liu ◽  
Changrui Yu
Keyword(s):  
Online Learning ◽  
Online Education ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Field ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Facilitating Conditions

Understanding users’ continued usage intentions for online learning applications is significant for online education. In this paper, we explore a scale to measure users’ usage intentions of online learning applications and empirically investigate the factors that influence users’ continued usage intentions of online learning applications based on 275 participant data. Using the extended Technology Acceptance Model (TAM) and the Structural Equation Modelling (SEM), the results show that males or users off campus are more likely to use online learning applications; that system characteristics (SC), social influence (SI), and perceived ease of use (PEOU) positively affect the perceived usefulness (PU), with coefficients of 0.74, 0.23, and 0.04, which imply that SC is the most significant to the PU of online learning applications; that facilitating conditions (FC) and individual differences (ID) positively affect the PEOU, with coefficients of 0.72 and 0.37, which suggest that FC is more important to the PEOU of online learning applications; and that both PEOU and PU positively affect the behavioral intention (BI), with coefficients of 0.83 and 0.51, which indicate that PEOU is more influential than PU to users’ continued usage intentions of online learning applications. In particular, the output quality, perceived enjoyment, and objective usability are critical to the users’ continued usage intentions of online learning applications. This study contributes to the technology acceptance research field with a fast growing market named online learning applications. Our methods and results would benefit both academics and managers with useful suggestions for research directions and user-centered strategies for the design of online learning applications.

The Case of Electronic Approval System

2011 ◽  
pp. 269-285
Author(s):  
Sinawong Sang ◽  
Jeong-Dong Lee ◽  
Jongsu LeeSeoul
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
User Adoption ◽  
Acceptance Model

The purpose of this study is to assess and test the factors that influence user adoption of e-Government services: the Electronic Approval System (EAS). This study uses the Technology Acceptance Model (TAM), the extended TAM (TAM2), the Diffusion of Innovation (DOI), and trust to build a parsimonious yet comprehensive model of factors that influence user acceptance of the EAS. We collected data from a total of 112 public officers in 12 ministries in Cambodia. We assessed the model with regression analyses. The findings in this article show that the determinants of the model (perceived usefulness, relative advantage, and trust) explain 30.5% of the variance in user acceptance of the EAS. At the same time, image, output quality, and perceived ease of use explain 38.4% of the variance in user perception of the usefulness of the EAS. In this article, we discuss our findings, implications, and suggestions for future research.

scholarly journals Exploring the specification of educational compatibility of virtual reality within a technology acceptance model

2022 ◽  
Author(s):  
Andrew Kemp ◽  
Edward Palmer ◽  
Peter Strelan ◽  
Helen Thompson
Keyword(s):  
Virtual Reality ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Cognitive Engagement ◽  
Perceived Usefulness ◽  
First Year ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Survey Responses

This study investigated the specification of educational compatibility within a technology acceptance model (TAM) suited to engaging educational technologies. Attitudes towards virtual reality (VR) for learning was used to test the experimental model. One hundred and seventy-nine valid survey responses were collected from 517 potential participants with the majority from first-year university students. The independent variables were educational compatibility, cognitive engagement, social influence, system attributes, perceived anxiety and facilitating conditions. Exploratory factor analysis showed that educational compatibility and attitude were collinear, and therefore were combined into one construct. Confirmatory factor analysis indicated that the combined educational compatibility-attitude construct and perceived usefulness were not discriminant. Two structural models were therefore compared: one where educational compatibility-attitude items were incorporated within perceived usefulness, and another where educational compatibility-attitude items were excluded entirely. The results showed that incorporating educational compatibility-attitude items within perceived usefulness affected the influence of cognitive engagement and system attributes on perceived usefulness, though overall model power was unchanged. The results suggested that (a) educational compatibility and attitude could be redundant, and (b) incorporating educational compatibility into perceived usefulness may help specify educationally focused TAMs. Implications for practice or policy: Researchers may regard educational compatibility and attitude to be redundant and exclude them from TAMs as separate constructs. Researchers could consider tailoring the perceived usefulness construct to make it more specific to the educational context, for example by including one or more educational compatibility items.

Gamification of E-Learning in African Universities

2022 ◽  
pp. 73-96
Author(s):  
Abdulsalam Salihu Mustafa ◽  
Gamal Abdulnaser Alkawsi ◽  
Kingsley Ofosu-Ampong ◽  
Vanye Zira Vanduhe ◽  
Manuel B. Garcia ◽  
...  
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Computer Anxiety ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Instructional Process ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
Facilitating Conditions

Gamification in education is a strategy of motivating and engaging students by integrating game design features into the instructional process. Although there is a growing body of scientific evidence supporting the effectiveness of gamification in the educational setting, some of the evidence is inconclusive and insufficient, especially in developing nations. The purpose of this study is to integrate the technology acceptance model and task technology fit to investigate instructors' intention to use gamified online learning. A sample of 50 participants across various African institutions was involved in this study. Structural equation modelling implemented via partial least squares (PLS) is used to test the research hypotheses. The results revealed that intention to use gamified online learning was significantly and positively influenced by task technology fit, perceived usefulness, and attitude. Notably, subjective norms, facilitating conditions, and computer anxiety failed to predict behavioural intention. The authors discuss the implications of the findings and propose future directions.

scholarly journals Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model

2018 ◽  
Vol 7 ◽  
pp. 1
Author(s):  
Fateme Moghbeli ◽  
Mostafa Langarizadeh ◽  
Azita Kouhestani ◽  
Azam Orooji
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Hospital Information System ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
End User ◽  
Acceptance Model

Introduction:  The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot describe the users’ behavior in the environments like the Hospital Information System. From the technology acceptance standpoint at the individual acceptance level, the present paper tends to develop a Technology Acceptance Model with introducing some external factors.Material and Methods: This study was conducted in 2017. The research population was included 185 nurses who works in Health Information Management (HIM) departments of Tehran University of Medical Sciences. A questionnaire was developed in order to gather the required data. The validity was obtained by panel of experts and the reliability was examined and then confirmed in a 50 person sample using the Cronbach’s Alpha (a=0.93). The Likert’s five item scale was applied. The data were analyzed using descriptive statistics, exploratory factor analysis, and path analysis.Results: The behavioral intention was affected significantly and positively by the factors of perceived usefulness, perceived ease of use, self-efficacy, end user support, social norm, trust, job relevance, and training, with trust having the highest level of effects. Also perceived ease of use had a significant effect on perceived usefulness along with an indirect effect on behavioral intention through perceived usefulness. The factors of anxiety, voluntariness, and facilitating conditions showed no significant effects on behavioral intention.Conclusion:  The factors of trust, perceived usefulness, social norm, end user support, and self-efficacy have an impact on the behavioral intention of the users utilizing the Hospital Information System in the concerning hospitals. These factors could explain 72% of the changes of behavioral intention. Concentrating on them would lead to the improvement of the acceptance and Hospital Information System efficiency.

Investigating Students’ Acceptance of a Statistics Learning Platform Using Technology Acceptance Model

2017 ◽  
Vol 55 (6) ◽  
pp. 865-897 ◽  
Author(s):  
Yanjie Song ◽  
Siu-Cheung Kong
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Study Data ◽  
Perceived Usefulness ◽  
Learning Context ◽  
Group Discussions ◽  
Individual Interviews ◽  
Learning Platform ◽  
Acceptance Model ◽  
Facilitating Conditions

The study aims at investigating university students’ acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a revised model consisting of four external factors (self-efficacy, facilitating conditions, subjective norm, and anxiety) that may influence students’ perceptions and acceptance of the platform. A mixed research method was used. A total of 102 participants were involved in this study. Data collection includes questionnaires survey, individual interviews, and focus group discussions. The findings show that students’ intention to use the platform is affected by their attitude toward the platform, which is significantly influenced by perceived usefulness. Further suggestions regarding the design and implementation of a learning platform are provided based on the observations and results of the study. This preliminary study provides valuable insights into our further refinement of the platform and development of a learning analytics platform in the future for better learning of students in statistics.

scholarly journals ANALISIS PENERIMAAN GOOGLE CLASSROOM MENGGUNAKAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) DAN END-USER COMPUTING SATISFACTION (EUCS) (STUDI KASUS UNIVERSITAS INFORMATIKA DAN BISNIS INDONESIA)

2021 ◽  
Vol 12 (4) ◽  
pp. 259
Author(s):  
Zatin Niqotaini ◽  
Budiman Budiman
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
End User ◽  
Acceptance Model ◽  
End User Computing

ABSTRAKPandemi virus corona (COVID-19) memberikan dampak besar terhadap berbagai aktivitas manusia di seluruh dunia khususnya negara Indonesia, salah satunya aktivitas pendidikan dan kegiatan pembelajaran di kampus. Kebijakan dari pemerintah tentang WFH (work from home) menjadikan proses kegiatan pembelajaran secara tatap muka di kampus dihentikan sementara sejak bulan Maret 2020 hingga waktu yang belum dapat ditentukan. Universitas Informatika dan Bisnis Indonesia sebagai salah satu institusi pendidikan swasta di Jawa Barat, dituntut untuk mengikuti perubahan metode pembelajaran yaitu pembelajaran jarak jauh (online) yang sebelumnya menggunakan tatap muka secara langsung. Salah satu platform yang banyak digunakan adalah google classroom. Google classroom merupakan aplikasi yang memungkinkan terbentuknya kelas di dunia maya, sebagai salah satu platform yang banyak digunakan tentunya perlu diperlukan evaluasi kepuasaan pengguna terutama mahasiswa agar terdapat perbaikan kedepannya. Penelitian ini dikaji dengan menggunakan model Technology Acceptance Model (TAM) dengan mempertimbangkan faktor Persepsi Kegunaan (Perceived Usefulness), Persepsi Kemudahan Penggunaan (Perceived Ease Of Use) dan Sikap Terhadap Perilaku (Attitude Toward Using). End-User Computing Satisfaction (EUCS) dengan mempertimbangkan Isi (Content), Akurasi (Accuracy), Tampilan (Format), Kemudahan (Ease) dan Ketepatan Waktu (Timeliness). Subyek penelitian yang digunakan adalah mahasiswa di lingkungan Unibi. Hipotesis yang menghasilkan hubungan antar konstruk di dalam TAM dan EUCS diukur dengan Structural Equation Model (SEM) dan software AMOS 26. Hasil penelitian ini menunjukkan bahwa model TAM dan EUCS dapat menjelaskan faktor – faktor yang mempengaruhi penerimaan google classroom pada Unibi dimana Perceived Usefullness (PU) dipengaruhi oleh Perceived Ease of Use (PEOU) 52,2%. Attitude Toward Using (AT) dipengaruhi oleh Perceived Usefullness (PU) 34,4%, Content (CT) 25,4%, Accuracy (AC) 11,9%, dan Format (FT) 18,4%.Kata kunci : E-learning, Google Classroom, Technology Acceptance Model (TAM), End User Computing Satisfaction (EUCS).

Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa

2017 ◽  
Vol 14 (06) ◽  
pp. 1750033 ◽  
Author(s):  
Miriam Martens ◽  
Oliver Roll ◽  
Roger Elliott
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Mobile Payments ◽  
Structural Relationships ◽  
Acceptance Model

The acceptance of mobile payments has been limited. This paper, therefore, attempts to investigate the determinants of mobile payment adoption. To this end, it examines the relationships between the personality trait dimensions of the Technology Readiness Index 2.0 and the system-specific dimensions of the Technology Acceptance Model in Germany and South Africa. The model was tested using structural equation modeling. Results show that some, but not all, of the Technology Readiness Index 2.0 variables had a significant influence on the dimensions of the Technology Acceptance Model. Perceived Usefulness was the strongest predictor of the intention to use mobile payments. The factor “country” did not moderate the structural relationships.

scholarly journals Introducing Students to Business Intelligence: Acceptance and Perceptions of OLAP Software

10.28945/3063 ◽  
2007 ◽  
Author(s):  
Mike Hart ◽  
Farhan Esat ◽  
Michael Rocha ◽  
Zaid Khatieb
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Student Experiences ◽  
International Studies ◽  
Perceived Ease Of Use ◽  
Output Quality ◽  
On Line ◽  
Acceptance Model ◽  
Facilitating Conditions

This research concerns a practical on-line analytic processing (OLAP) project given to 2nd year information systems major students. They were required to analyse two sets of sales data with two different OLAP software tools, and report both on their findings and on their experiences of working with the two products. Students then completed a validated instrument with questions about each OLAP tool, and data was analysed to assess whether proposed relationships in an adapted technology acceptance model (TAM) were supported. For each OLAP product the cognitive instrumental factors of result demonstrability, output quality, job relevance and perceived ease of use were found to be positively related to perceived usefulness. This supported local and international studies of business users. Facilitating conditions affected perceived ease of use, but anxiety played no significant role. Qualitative student experiences and perceptions are briefly commented on, and suggestions made about future OLAP projects.

scholarly journals Integrating Technological Acceptance Model and End-User Computing Satisfaction to Explain the Intention to Continue using Car Navigation Systems in UAE

2019 ◽  
Vol 8 (2S10) ◽  
pp. 628-634
Keyword(s):  
Technology Acceptance ◽  
Structural Equations ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Navigation Systems ◽  
End User ◽  
Acceptance Model ◽  
Intention To Continue ◽  
Car Navigation ◽  
End User Computing

This research uses modelling of structural equations via PLS to assess the 167 suitable questionnaires so as to evaluate the recommended model that utilizes the technology acceptance model TAM and end-user computing satisfaction theories to identify factors that affect driver intention to continue using car navigation systems among UAE’s drivers with private licenses. The research will describe relationships among accuracy, content, format, timeliness, ease of use, perceived usefulness, and intention to continue using car navigation systems. Our efforts have improved our understanding of the use of satellite navigation technology. Results suggested that all seven hypotheses are supported. The recommended model also clarified 20% of the variance in the intention to continue using car navigation systems.

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