Citation

Jayashree, Sreenivasan and Hassan Reza, Mohammad Nurul and Malarvizhi, Chinnasamy Agamudai Nambi and Alias, Mazni (2023) Big Data Analytics and Educational Sustainability-A Malaysian Scenario. In: 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 5-7 April 2023, Trichirappalli, India.

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Abstract

Despite the increased interest in higher learning institutions (HLIs), research on big data analytics (BDA) focusing on sustainability in the education sector is still in its infancy. Therefore, this study proposes a BDA-centric framework, emphasizing sustainability in higher education by integrating the Technology, Organization, and Environment (TOE) theory and the Diffusion of Innovation (DOI) model. The framework will be tested to examine the impact of the factors on BDA adoption and sustainable education. It also aims to determine how BDA assists HLIs in attaining sustainability. Moreover, whether BDA mediates the relationship between the factors and sustainable education will also be tested. The study will employ a questionnaire-based survey to validate the model. Data will be collected from public and private universities located in various states in Malaysia. Structural Equation Modeling (SEM) will be employed to examine the model and proposed hypotheses. The study's findings offer essential insights for adopting BDA successfully in HLIs. This study may be helpful for educators, policymakers, and big data vendors in adopting big data successfully among HLIs to ensure sustainability in educational systems.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Big data analytics; sustainable education; relative advantage; complexity; compatibility; organizational readiness; expert human resources; competitive pressure
Subjects:	Q Science > QA Mathematics > QA801-939 Analytic mechanics
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	05 Sep 2023 01:03
Last Modified:	05 Sep 2023 01:03
URII:	http://shdl.mmu.edu.my/id/eprint/11674

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