Computing and Information Systems - Theses

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    Exploring knowledge leakage risk in knowledge-intensive organisations: behavioural aspects and key controls
    Altukruni, Hibah Ahmed ( 2019)
    Knowledge leakage poses a critical risk to the competitiveness advantages of knowledge-intensive organisations. Although knowledge leakage is a human-centric security issue, little is known in relation to the key factors of individual-level leaking behaviour. Therefore, the aim of this thesis was to explore security practitioners’ perspectives on the key enablers and inhibitors of behavioural knowledge leakage risk in the context of knowledge-intensive organisations. An exploratory, qualitative design was used to carry out the study. Moreover, seven security practitioners working in Australian organisations were recruited to participate in this research. The data were collected using semi-structured questions via two focus group discussions. The discussion sessions lasted between 90 and 120 minutes, including a 10-minute break. The sessions were audio recorded, transcribed, and thematically analysed following Braun and Clarke’s (2006) strategy. Furthermore, two main trends emerged from the analysed data. First, ‘interpersonal enabling factors’ included leaking behaviours and employees’ personality’ traits. Second, contributing ‘organisational practices around knowledge leakage mitigation’ included poor knowledge sensitivity classification systems and poor knowledge security management practices. In conclusion, it is essential that security practitioners address the key identified factors of behavioural leakage risk to mitigate the leaking incidents effectively. Three key security practices that were found to have a superior impact in mitigating leaking enablers included human resource management practices, knowledge security training and awareness practices, and compartmentalisation.
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    A secure innovation process for start-ups: Minimising knowledge leakage and protecting IP
    Pitruzzello, Sam ( 2016)
    Failing to profit from innovations as a result of knowledge leakage is a key business risk for high-tech start-ups. Innovation is central to the success of a start-up and their competitive advantage in the market place therefore methods to protect intellectual property (IP) and minimise knowledge leakage is crucial. However, high-tech start-ups have limited resources rendering them more vulnerable to knowledge leakage risks compared to mature enterprises. Unfortunately, research on knowledge leakage and innovation processes falls short of addressing the needs of high-tech start-ups. Since knowledge leakage can occur in a number of ways involving many scenarios, organisations typically employ a variety of IP protection and knowledge leakage mitigation methods to minimise the risks. This minor thesis fills the research gaps on innovation processes and knowledge leakage for start-ups. A literature review was conducted into the bodies of research on knowledge leakage and innovation. Following the literature review, a secure innovation process (SIP) model was developed from the research. SIP includes the concept of the risk window which allows a start-up to identify, assess and manage knowledge leakage risks at various stages in the innovation process.