A framework for big data adoption and sustainable institutional performance


Jayashree, Sreenivasan and Hassan Reza, Mohammad Nurul and Malarvizhi, Chinnasamy Agamudai Nambi and Alias, Mazni and Mohiuddin, Muhammad (2023) A framework for big data adoption and sustainable institutional performance. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 5-6 January 2023, Bhilai, India.

[img] Text
A_framework_for.pdf - Published Version
Restricted to Repository staff only

Download (477kB)


Business analytics worldwide utilize cutting-edge technologies to take advantage of data, provide business value, and successfully compete in a world driven by technology. Data analytics are used to speed up the time to insight and improve knowledge of consumers' demands and desires. However, the use of big data analytics in higher education is a recent development. This study incorporates the research on big data adoption and offers a framework for measuring the sustainable performance of Higher Learning Institutions. Data will be collected from the academic staff of 7 universities in various regions of Malaysia. Structural Equation Modeling (SEM) will be used for data analysis. The study explores some of the key success factors of big data adoption and their impact on its successful implementation, emphasizing sustainable institutional performance. The mediating role of big data adoption between the factors and sustainable institutional performance will also be examined.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: big data adoption, sustainable education, TOE framework, Technological infrastructure, Management support, Financial resources, External support
Subjects: H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management
Divisions: Faculty of Management (FOM)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Jul 2023 03:38
Last Modified: 04 Jul 2023 03:38
URII: http://shdl.mmu.edu.my/id/eprint/11522


Downloads per month over past year

View ItemEdit (login required)