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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| Format: | Thesis |
| Language: | English English English |
| Published: |
2021
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| 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. |
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