Impacting factors of postgraduates' behavioral intention and satisfaction in using online learning in Chengdu University

Abstract

Purpose: The study aims to investigate impacting factors of behavioral intention and satisfaction of postgraduate students in using online learning based on Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Information Systems Success (ISS). Research design, data and methodology: A quantitative method was applied to distribute questionnaire to 500 students of Chengdu University of China. Judgmental sampling, stratified random sampling, and convenience sampling were used as sampling techniques. Prior to data collection, item objective congruence (IOC) and Cronbach’s Alpha reliability test were used to validate the data. For the data analysis, confirmatory factor analysis (CFA) and structural equation model (SEM) were employed to measure factor loading, reliability, validity and goodness of fit indices. Results: Behavioral Intention had the strongest significant effect on satisfaction, followed by social Influence, perceived ease of use, effort expectancy, perceived usefulness on behavioral intention. Additionally, perceived ease of use significantly affected on perceived usefulness. In opposite, the relationship between self-efficacy and behavioral intention was not supported. Conclusions: Academic researchers and school leaders would adapt the important factors impacting behavioral intention and satisfaction in the selection of online learning system to meet student’s needs and their learning objectives.