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This study exercises the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model to systematically scrutinize the determinants of data visualisation tool adoption in academic settings. This research investigates various variables such as Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price-Value (PV), Habit (H), and Behavioural Intention (BI), to unravel the underlying drivers and obstacles influencing student adoption rates. Employing a questionnaire-based approach, data was collected from 136 students across multiple universities, and analysed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) via the Smart PLS 4 visualisation tool. It has been witnessed that adding digital literacy to academic curricula and having these skills actually enhances employability chances. By resolving critical gaps, this research paves the way for innovative didactic strategies and institutional policies that will radically enhance the way students engage with data visualisation tools, holistically equipping them with essential skills for the evolving digital economy.

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Adoption and Usage of Data Visualisation Tools Among Students Pursuing Higher Education – A Study Using the UTAUT 2 Model

  • 会议论文

  • 发表日期：

    2026年

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  • Vinith Kumar Nair,
  • S. Nisha,
  • L. Sudhir,
  • Priyanka Tibrewal

摘要

This study exercises the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model to systematically scrutinize the determinants of data visualisation tool adoption in academic settings. This research investigates various variables such as Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price-Value (PV), Habit (H), and Behavioural Intention (BI), to unravel the underlying drivers and obstacles influencing student adoption rates. Employing a questionnaire-based approach, data was collected from 136 students across multiple universities, and analysed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) via the Smart PLS 4 visualisation tool. It has been witnessed that adding digital literacy to academic curricula and having these skills actually enhances employability chances. By resolving critical gaps, this research paves the way for innovative didactic strategies and institutional policies that will radically enhance the way students engage with data visualisation tools, holistically equipping them with essential skills for the evolving digital economy.