Examining factors influencing webinar adoption using UTAUT model (Case study at distance learning program, ABC University, Bandung-Indonesia 2016)

Abstract

Colleges and universities are entering a new age where the learning process is no more within the classroom. This learning is enriched by new instructional technologies and online interaction that enables the spectrum of in-classroom through distance learning. Students benefit from the ability to choose the mix of course types that best fits their learning style and availability of time. The primary contribution of this research is identifying the influencing variables of students' intention on adopting webinar technology. The study was conducted by giving a questionnaire to 170 students who expressed in writing their willingness to be respondents and some of the students through deep interview. The reliability of the questionnaire is tested by the Cronbach's Alpha technique, the Validity testing by Pearson Product Moment Correlation technique using SPSS 17. The analysis technique to test the hypothesis based on Partial Least Square Structural Equation Modelling (PLS SEM) by using SmartPLS 2.0. The result shows that the propose model of performance expectancy, effort expectancy, social influence, facilitating condition, attitude toward behavior, content quality and pedagogy have strong predictive power for measuring the students' behavioral intention with R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> =61%. Behavioral intention has strong predictive power for measuring the students' use behavior with R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> =52%. Following to the results, one of the challenges of distance learning program is the distance between the students and the lecturers. The researcher believes that the distance makes the communication has bigger possibility for any distraction and the engagement between students and lecturer are lesser than in conventional class.