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FIT3174 IT STRATEGY AND GOVERNANCE
Assignment 2: IT governance evaluation and application
Learning outcomes:
Demonstrate the understanding of IT governance, and how IT projects can be successfully completed with
appropriate attention to IT critical success factors, implementation issues and various aspects of IT
governance. Discuss the applications of the well-known IT governance frameworks commonly used in
organisations.
Broad Assignment Aims
Students are presented with a case study to:
a) critically review the organisation’s need for good IT governance,
b) critically evaluate the implementation experience of the organisation and suggest ways to improve its
IT governance by drawing on the theoretical constructs of IT governance and those involved in IT
governance frameworks such as COBIT,
c) demonstrate how a chosen IT governance framework can affect the organisation’s corporate and IT
strategies, thereby influencing the values and risks associated with IT-enabled investments.
Students are required to derive the strategic motivations, barriers, impact, and lessons of the case organisation
in implementing IT projects and governance, relating them to the IT governance scholarly literature.
Using Generative AI (GAI) for the assignment:
Students are allowed to use GAI, such as ChatGPT, to assist them with this assignment. However, the main
use of the tool should be to generate initial ideas and improve the quality of the report (e.g., grammar checks).
Please note that if GAI is used, the following information needs to be included in the appendix:
● Declare the adopted GAI technology and the ways it was used to assist with this assignment. For
example, did you use it to generate ideas for any parts of the assignment or to improve writing in any
ways?
● Declare the prompts used and how you have utilised the results critically. Please take a critical
approach to the results that GAI generates.
○ Validate the correctness of the responses by conducting further research.
○ Make sure that any argument made in your report needs to be supported by appropriate
literature (remember that GAI is limited to its training data and is thus biased by nature).