Key success factor is a planning tool use in designing information system that meet the need of user. Mobile technologies for learning is an emerging tools in education evolution where the learning process occurs through integration of electronic learning and mobile technologies. Higher
education institutions around the world will need to consider how to make the most of these new opportunities to be competitive in the market. Most previous studies have been focusing on social factors that influence behavioral intention to use m-learning while there is a lacking on finding
technological factors such as system quality and information quality on behavioral intention to use m-learning. Thus, the current study was carried out to investigate technological factors that influence behavioral intention to use m-learning among students at the Malaysian technical universities.
The research model was formulated using the constructs used in IS success model. A total of 400 duly completed survey questionnaires was collected via purposeful structured random sampling and self-administrated survey questionnaire. The hypotheses formulated were then tested using SPSS AMOS.
The result revealed that the mean tendency of perceived usefulness, information quality, system quality, learning interaction was scored at high levels. Perceived usefulness and learning interaction have positive influence on behavioral intention to use m-learning, while information quality
and system quality indicated negative relationship towards behavioral intention to use m-learning. Findings of this study add new understanding as regard to technological factors of m-learning and the level that it influences student learning behavioral intention to use m-learning among higher
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IS Success Model;
Intention to Use;
Document Type: Research Article
Fakulti Pengurusan Teknologi dan Perniagaan, Universiti Tun Hussein Onn Malaysia, Malaysia
Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman, Malaysia
Publication date: April 1, 2017
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ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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