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Big data analytics adoption via lenses of Technology Acceptance Model: empirical study of higher education

Author

Listed:
  • Ibrahim Youssef Alyoussef

    (King Faisal University, Saudi Arabia)

  • Waleed Mugahed Al-Rahmi

    (Universiti Teknologi Malaysia, Malaysia)

Abstract

The goal of this study was to establish a model to quantify the adoption of big data in relation to education and to translate the adoption of big data in literature into the educational context. This study hypothesizes that encouraging situations, perceived risk, perceived usefulness, perceived ease of use influence the attitude of the students towards use and the intention to use behavior, in turn impacting the adoption of big data in education, this research used the Technology Acceptance Methodology (TAM) model. Through analyzing 282 university students, the present thesis followed quantitative data collection along with analysis procedures. Therefore, the responses of students were grouped into seven testing constructs and evaluated to understand their adoption influence. Accordingly, data were subsequently quantitatively analysed utilising Structure Equation Modelling (SEM). The findings revealed that facilitating conditions, perceived risk, perceived usefulness, perceived ease of use were important determinants of the attitude of students towards use and behavioral intention to use big data, and 71.2% of acceptance was also significant for the attitude of students towards use and behavioral intention to use big data.

Suggested Citation

  • Ibrahim Youssef Alyoussef & Waleed Mugahed Al-Rahmi, 2022. "Big data analytics adoption via lenses of Technology Acceptance Model: empirical study of higher education," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(3), pages 399-413, March.
    • Handle: RePEc:ssi:jouesi:v:9:y:2022:i:3:p:399-413
    DOI: 10.9770/jesi.2022.9.3(24)
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    References listed on IDEAS

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    1. Bagozzi, Richard P. & Yi, Youjae & Nassen, Kent D., 1998. "Representation of measurement error in marketing variables: Review of approaches and extension to three-facet designs," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 393-421, November.
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    Cited by:

    1. Omar A. Alismaiel, 2023. "Digital Media Used in Education: The Influence on Cyberbullying Behaviors among Youth Students," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    2. Hussein Khalifa Hassan Khalifa & Rosmiza binti Haji Bidin & Raihani Mohamed & Imam Mukhlis, 2025. "Prominent Theories on Social Media Analytics in Corporate Studies: A Systematic Literature Review," SAGE Open, , vol. 15(4), pages 21582440251, October.
    3. Al Jameel Osama & Sabrinah Adam, 2024. "The Antecedents and Driving Factors of Social Entrepreneurial Behavior in Saudi Arabia. A Systematic Literature Review from the Last Decade," SAGE Open, , vol. 14(2), pages 21582440241, June.

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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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