Feasibility Study of Tablet PC Acceptance Among School Children in Malaysia

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Moamar G B Elyazgi ◽  
Mohd Naz’ri Mahrin ◽  
Nor Zairah Ab. Rahim ◽  
Md Athar Imtiaz

Nowadays the use of Tablet Personal Computer (TPC) as a medium of imparting education is gaining popularity among students and teachers. However, limited studies on school children have been conducted on their acceptance of Tablet PCs. Therefore, technology acceptance of TPC by 8th grade school children in Malaysia was studied in this research. The various benefits and current research pattern of TPC in education is described. Then, a mixed mode (quantitative and qualitative) study using the Technology Acceptance Model (TAM) and informal conversational interviews was done to analyse the acceptance and usage of TPC among school children at a private school in Malaysia. The results of this study show that only 46% of the 8th grade students intend to use Tablet PC in the future. The results from this feasibility analyses are discussed and a future research is suggested.

2016 ◽  
Vol 8 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Stephen Asunka

This study used aspects of the classical Technology Acceptance Model (TAM) to predict instructor acceptance and adoption of a tablet computer (tablet PC) for mobile learning in a Ghanaian higher education institution. Following a distribution of a customized tablet PC (known as Campus Companion) to all instructors of the institution, and an expectation that they will use these devices to support and facilitate mobile learning, data on instructor perceptions, attitudes, and behavioral intention to use the technology were gathered and analyzed. Thirty-eight (38) instructors participated in the study. Findings show that instructors' intentions to use the tablet PC for mobile learning are very low, and are significantly influenced by their perceived usefulness, perceived ease of use and attitude towards the device. Implications of these findings for practice and further research are discussed within the context of the adoption of tablet PCs for mobile learning within the Ghanaian higher education context in particular and the developing world in general.


2015 ◽  
Vol 6 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Hart O. Awa ◽  
Ojiabo Ukoha Ojiabo ◽  
Bartholomew Chinweuba Emecheta

Purpose – This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs. Design/methodology/approach – The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system. Findings – The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption. Research limitations/implications – Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically. Originality/value – The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.


Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios

This chapter explores the potential of Web 2.0 utilization in developing countries through the concept of e-government. Successful implementation of the Web 2.0 concept has to combine both technological and human factors. Thus, this chapter proposes a conceptual model that will measure e-government 2.0 readiness. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior, and indexes from the United Nation’s database. South Sudan is used at the end as a brief case study of the potential of e-Government 2.0. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.


Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios

The current work explores the use of social computing as a tool to improve the interactions between the government and other parties. Social computing, which is known as Web 2.0, is applied in the public sector through the concept of e-Government 2.0. This chapter proposes a conceptual model that will measure e-Government 2.0 adoption by combining known information technology theories. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior and indexes from the United Nation's database. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.


Author(s):  
Jia Shen ◽  
Lauren B. Eder

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.


Author(s):  
Stephen Asunka

This study used aspects of the Technology Acceptance Model (TAM) to predict instructor acceptance and adoption of a tablet computer for mobile learning in a Ghanaian University. Following the distribution of a customized tablet PC (known as Campus Companion) to all instructors of the institution, and an expectation that they will use these devices to support and facilitate mobile learning, data on instructor perceptions, attitudes, and behavioral intention to use the technology were gathered and analyzed. Thirty-eight (38) instructors participated in the study. Findings show that instructors' intentions to use the tablet PC for mobile learning are very low, and are significantly influenced by their perceived usefulness, perceived ease of use and attitude towards the device. Implications of these findings for practice and further research are discussed within the context of the adoption of m-learning within the Ghanaian higher education context in particular and the developing world in general.


Author(s):  
Luke Houghton ◽  
Don Kerr

This chapter argues that diffusion theory models like the technology acceptance model (TAM) need to be rethought of in light of contextual factors that are becoming increasingly important in modern inter-organisational settings. This is due to the growing complexity of organizations with respect to different organisational types, contexts, and political structures that have been shown in research literature to hinder information systems acceptance. The chapter looks at possible contextual factors that are ignored by TAM by critiquing its parent diffusion theory (diffusion of innovations). This approach was considered best as there are many variations of TAM, but the diffusion of innovations (DOI) theory underlies all these variations. The chapter also recommends a way forward for research into inter-organisational information systems by examining an example situation of Feral Information Systems (FIS) to illustrate the problem. The chapter concludes with a discussion about future research directions.


2020 ◽  
Vol 12 (2) ◽  
pp. 77-90
Author(s):  
Zhonggen Yu ◽  
Han Yi

Rain Classroom, a mobile learning technology developed in China, has received great popularity. Research into its acceptance and effectiveness, however, remains sparse. Through research instruments, i.e. a questionnaire adapted from the Technology Acceptance Model (TAM), a semi-structured interview and linguistics knowledge tests, both quantitative and qualitative data were obtained to test research hypotheses. It was concluded that (1) Rain Classroom possesses significantly higher acceptance than traditional multimedia projecting systems in terms of performance expectancy, effort expectancy, social influence, facilitating conditions, and attitude at the significance level .05; and (2) Rain Classroom contributes to significantly higher linguistics knowledge gain than traditional multimedia projecting systems at the significance level .05. Future research could aim to improve and enhance the functions of Rain Classroom in order to pursue higher acceptance and effectiveness. Cross-disciplinary research could also be conducted to test its acceptance and effectiveness.


2012 ◽  
Vol 4 (3) ◽  
pp. 15-38 ◽  
Author(s):  
Adeyinka Tella

The success of an information system (IS) depends on the users’ satisfaction with the system. In this study, the Technology Acceptance Model by Davies (1989) was extended. The paper synthesized the technology acceptance model (TAM) to explain and predict the success of e-payment system using users’ satisfaction as dependent variable. The hypothesized model was validated empirically using a sample data collected from of a modified e-payment questionnaire. A total of 74 teaching and non teaching academic staff selected from the Faculty of Communication and Information Sciences, University of Ilorin, Nigeria constituted the sample for the study. The results revealed correlation among perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use and e-payment success. Moreover, all the seven e-payment predictive factors together made 69% of e-payment system success. Similarly perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use are good predictors of e-payment system success. One of the implications pointed out by the study is that the measures for the construct of e-payment system success used are self-reported. In the light of this, future research should develop more objective and accurate measures for determining e-payment system success.


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