ASSESSING THE UNIVERSITY ONLINE LEARNING ADAPTED WITH UTAUT2 MODEL: A FUZZY Z-AHP APPROACH

Abstract

The development of the online technologies has impacted the higher education to improve true knowledge. This paper aims to evaluate the eight constructs of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, Behavioral Intention, and the last Use Behavior, based on the use of an online learning application such as Google Classroom. The main reason that is chosen this application is that it's free and students can easily access it. The proposed method to classify the eight constructs of the UTAUT2 model from the most important to the last important is Fuzzy Z-AHP with triangular fuzzy numbers (TFN). This method achieves effective results based on Z- numbers and also on their reliability. The data were collected through a survey of 210 samples from students of the University of Durres during the pandemic Covid-19 The findings suggested that the most important construct was Social Influence (SI) and the last important was Facilitating Conditions (FC). This results help the higher education policies to be oriented better regarding the online learning.