Welcome to the InfoSci Platform
Reference Hub10
Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology

Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology

Saleh Alwahaishi, Václav Snášel
Copyright: © 2013 |Volume: 5 |Issue: 2 |Pages: 15
ISSN: 1937-9633|EISSN: 1937-9641|EISBN13: 9781466632622|DOI: 10.4018/jea.2013040103
Cite Article Cite Article

MLA

Alwahaishi, Saleh, and Václav Snášel. "Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology." IJEA vol.5, no.2 2013: pp.25-39. http://doi.org/10.4018/jea.2013040103

APA

Alwahaishi, S. & Snášel, V. (2013). Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology. International Journal of E-Adoption (IJEA), 5(2), 25-39. http://doi.org/10.4018/jea.2013040103

Chicago

Alwahaishi, Saleh, and Václav Snášel. "Modeling the Determinants Affecting Consumers’ Acceptance and Use of Information and Communications Technology," International Journal of E-Adoption (IJEA) 5, no.2: 25-39. http://doi.org/10.4018/jea.2013040103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Understanding individual acceptance and use of Information and Communication Technology (ICT) is one of the most mature streams of information systems research. In Information Technology and Information System research, numerous theories are used to understand users’ adoption of new technologies. Various models were developed including the Innovation Diffusion Theory, Theory of Reasoned Action, Theory of Planned Behavior, Technology Acceptance Model, and recently, the Unified Theory of Acceptance and Use of Technology. Each of these models has sought to identify the factors which influence consumers’ intention or actual use of information technology. This research composes a new hybrid theoretical framework to identify the factors affecting the acceptance and use of Mobile Internet -as an ICT application- in a consumer context. The proposed model incorporates eight constructs: Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influences, Perceived Value, Perceived Playfulness, Attention Focus, and Behavioral intention. Individual differences—namely, age, gender, education, income, and experience are moderating the effects of these constructs on behavioral intention and technology use.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.