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A Conceptual Framework for IT Governance Mechanisms in Uganda's Higher Institutions of Learning

Lillian Ndagire et al.

International Journal of Digital Strategy, Governance, and Business Transformation2021https://doi.org/10.4018/ijdsgbt.294112article
AJG 1
Weight
0.43

What the paper says

Poor implementation of Information Technology Governance (ITG) leads to several IT systems performing poorly. Resulting to discontinuity of services, user frustration, loss of IT investment, increased redundancy, duplication of efforts, poor decision-making, and reputation loss. In Uganda, implementation of ITG is low as many public sector organizations are yet to streamline. Yet, for Higher Institutions of Learning (HILs), the implementation of ITG is unexplored. Therefore, this study sought to determine the required mechanisms to design an ITG framework for HILs in Uganda (IGHU). A descriptive field study was conducted and the data were analyzed using SmartPLS 2.3.9 software. The causal relationships and validity of the constructs of IGHU were tested using partial least square path modeling. The coefficient of determination was 0.35; the path coefficient indicated both positive and negative relationships of independent to dependent constructs, and hypotheses such as accountability of IT projects and awareness campaigns were statistically significant.

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https://doi.org/https://doi.org/10.4018/ijdsgbt.294112

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@article{lillian2021,
  title        = {{A Conceptual Framework for IT Governance Mechanisms in Uganda's Higher Institutions of Learning}},
  author       = {Lillian Ndagire et al.},
  journal      = {International Journal of Digital Strategy, Governance, and Business Transformation},
  year         = {2021},
  doi          = {https://doi.org/https://doi.org/10.4018/ijdsgbt.294112},
}

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A Conceptual Framework for IT Governance Mechanisms in Uganda's Higher Institutions of Learning

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Evidence weight

0.43

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.21 × 0.4 = 0.08
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.