International Consumer Attitudes Toward Cloud Computing: A Social Cognitive Theory and Technology Acceptance Model Perspective

2015 ◽  
Vol 57 (3) ◽  
pp. 217-228 ◽  
Author(s):  
Vanessa Ratten
Webology ◽  
2021 ◽  
Vol 18 (SI03) ◽  
pp. 92-111
Author(s):  
Amirudd in ◽  
Grace T. Pontoh ◽  
Endang Sriningsih

This work desires to observe and analyze (1) the computer anxiety consequence, self-adequacy of technology, perceived playfulness and understood ease of use the approach of using computers; (2) the consequence of computer anxiety, computer self-adequacy, and perceived playfulness, on the attitude of using computers mediated by. This study is a significant research and uses survey methods with data collection techniques using questionnaires and data analyzed using AMOS statistical software. The outcomes demonstrated that (1) computer self-adequacy, perceived playfulness and had a serious influence on the mentality of utilizing computers; (2) computer anxiety doesn’t have a straight influence on the attitude of using a computer; and (3) computer self-efficacy, computer anxiety and perceived playfulness have a serious influence on the potential of using computers across whole variable anticipated usability. This research can give to the development of science and technology with the Technology Acceptance Model and Social Cognitive Theory which theoretically can provide evidence and support for the progress of research in the scope of behavioral accounting, can form a positive attitude of students in the learning process so as to produce outstanding graduates who are able to accept technological developments.


Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2992
Author(s):  
Amany Al-Dokhny ◽  
Amr Drwish ◽  
Ibrahim Alyoussef ◽  
Ahlam Al-Abdullatif

The current study aims to investigate the crucial factors that influence the behavioral intentions of students to use distance education platforms (DEPs). The tested Davis Expanded Technology Acceptance Model (TAM) was applied with Bandura’s social cognitive theory (SCT). This study included 453 university students using DEPs in the Kingdom of Saudi Arabia. A quantitative approach was adopted, and the results revealed that both perceived ease of use and usefulness have a strong influence on student intentions to use DEPs. Observational learning and computer self-efficacy also strongly influence perceived ease of use, and learner control with scaffolding was shown to significantly influence perceived usefulness. Moreover, the results confirmed the significant effect of perceived ease of use on perceived usefulness. Accordingly, the results provide valid support for an integrated framework including both TAM and SCT to understand how students may accept DEPs to improve their educational performance. This integration would help the decision-makers who are responsible for managing these platforms to assess the real needs of students at all higher education institutions.


2013 ◽  
pp. 1402-1424
Author(s):  
Andrew Thatcher ◽  
Mbongi Ndabeni

The digital divide is often conceptualised as inequalities of access to technology. While access is obviously a precursor to technology use, research consistently shows that the digital divide is not explained simply by access to technology; apparent in the evidence of digital divides within communities of equitable wealth or within the same geographical location. This chapter acknowledges the interplay between psychological as well as socio-economic factors as important in the adoption of technology. Within this approach we construct a model based on the Technology Acceptance Model, the Theory of Planned Behaviour, Innovation Diffusion Theory, Hofstede’s culture framework, and Social Cognitive Theory. The framework for the model is based on a combination of an extension of the Technology Acceptance Model, Innovation Diffusion Theory, and Social Cognitive Theory. The underlying theoretical assumptions are based on Social Cognitive Theory. While some aspects of these individual theories have already been applied to understanding the digital divide, this chapter develops a more comprehensive psychological model of e-adoption than currently exists in the literature.


Author(s):  
Andrew Thatcher ◽  
Mbongi Ndabeni

The digital divide is often conceptualised as inequalities of access to technology. While access is obviously a precursor to technology use, research consistently shows that the digital divide is not explained simply by access to technology; apparent in the evidence of digital divides within communities of equitable wealth or within the same geographical location. This chapter acknowledges the interplay between psychological as well as socio-economic factors as important in the adoption of technology. Within this approach we construct a model based on the Technology Acceptance Model, the Theory of Planned Behaviour, Innovation Diffusion Theory, Hofstede’s culture framework, and Social Cognitive Theory. The framework for the model is based on a combination of an extension of the Technology Acceptance Model, Innovation Diffusion Theory, and Social Cognitive Theory. The underlying theoretical assumptions are based on Social Cognitive Theory. While some aspects of these individual theories have already been applied to understanding the digital divide, this chapter develops a more comprehensive psychological model of e-adoption than currently exists in the literature.


2016 ◽  
pp. 1496-1508 ◽  
Author(s):  
Vanessa Ratten

Cloud computing services are a prominent innovation that has changed consumer behaviours towards adopting new technological services. Despite the popularity of this technological innovation the underlying factors that contribute to a consumer's intention to adopt cloud computing services has not been well researched. This paper builds upon the well-known behavioural intention theories of the technology acceptance model and social cognitive theory to develop and test a number of hypotheses designed to understand the factors influencing intention to use cloud computing services. The research hypotheses in the paper propose that perceived usefulness, consumer innovation attitude, social norms, performance expectancy and trust influence behavioural intentions of consumers towards cloud computing services. The hypotheses are tested in a sample of United States and Chinese consumers to understand whether there are differences in behavioural attitudes towards technological innovations. The paper identifies research limitations, practical implications and future research suggestions.


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