Extended unified theory of acceptance and use of technology: the influence of behavioral intention on big data management adoption by Malaysian public research universities

The higher education environment has been experiencing a record of challenges such as declines in students’ enrolment, retention rates, and graduation rates. Combined with cuts in institutional funding, executive leaders in higher education institutions (HEIs) in Malaysia and internationally have...

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Bibliographic Details
Main Author: Muhammad Nda, Ramatu
Format: Thesis
Language:English
English
English
Published: 2021
Subjects:
Online Access:http://eprints.uthm.edu.my/8474/1/24p%20RAMATU%20MUHAMMAD%20NDA.pdf
http://eprints.uthm.edu.my/8474/2/RAMATU%20MUHAMMAD%20NDA%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/8474/3/RAMATU%20MUHAMMAD%20NDA%20WATERMARK.pdf
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Summary:The higher education environment has been experiencing a record of challenges such as declines in students’ enrolment, retention rates, and graduation rates. Combined with cuts in institutional funding, executive leaders in higher education institutions (HEIs) in Malaysia and internationally have found it challenging to address these challenges effectively due to the dynamic and highly competitive education landscape. However, HEIs, like many organizations, are rapidly changing because of advancements in technology. The application of big data management (BDM) has been acknowledged as a potential solution to difficulties experienced in HEIs. So far, its adoption is relatively new, as there are currently numerous unknowns regarding its use. The focus of this study is to provide both institutional executive decision-makers and strategic managers with insight into factors related to the behavioral intention for the adoption of BDM in Malaysian public research universities. The contribution of this study is to bridge the gap in existing research on the behavioral intention for the adoption of BDM. Venkatesh's Unified Theory of Acceptance and Use of Technology model was used to determine if the independent variables: performance expectancy, effort expectancy, social influence and facilitating conditions are predictors of the dependent variable; the behavioral intention with moderating variable of transformational leadership (TL) for adoption of BDM by both institutional executive decision-makers and strategic managers whose universities are considering using BDM in their operations. The findings of the study based on a total of 171 valid survey collected showed that social influence and facilitating conditions have significant effects on behavioral intention for BDM adoption. Worth noting is the fact that TL this study’s results found no impact on the relationship between performance expectancy, effort expectancy, social influence variables and the behavioral intention. The sector is at the initial phase of adopting BDM technology, and the main challenge of adopting BDM use is transforming the processes, culture, and people in the institutions. The need for further research into the behavioral intention factors and leadership may in turn universities in being better prepared for the implementation and the costs of the technology.