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      A modified UTAUT framework to predict students' intention to adopt online learning: moderating role of openness to change

      , , ,
      The International Journal of Information and Learning Technology
      Emerald

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          Abstract

          Purpose

          The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed.

          Design/methodology/approach

          A structured questionnaire was emailed to 650 students enrolled in various courses in public and private universities in India. In total 424 responses were considered for analysis using structural equation modeling (SEM). Moderation analysis was carried out with multi-group SEM and chi-square difference tests.

          Findings

          The results reveal that there is a significant impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FS) and perceived security (PS) on students' intention to adopt online learning. Further, openness to change moderates the impact of PE, FS and PS on intention of students to opt for online learning.

          Originality/value

          This study is one of the initial efforts to examine the factors affecting students' intention to adopt online learning at the onset of third wave of coronavirus disease 2019 (COVID-19) pandemic in India. Besides the factors of the UTAUT model, this study highlights the importance of PS and openness to change in influencing students' intention to opt for online learning.

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          Most cited references64

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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                Author and article information

                Contributors
                Journal
                The International Journal of Information and Learning Technology
                IJILT
                Emerald
                2056-4880
                February 28 2023
                March 17 2023
                February 28 2023
                March 17 2023
                : 40
                : 2
                : 130-147
                Article
                10.1108/IJILT-04-2022-0093
                29bfebba-7c4a-45eb-920c-a6c816754a88
                © 2023

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