Browsing by Author "Barendse, Carli"

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    Security risks during big data integration in supply chains and logistics in Cape Town
    (University of the Western Cape, 2023) Barendse, Carli
    The data being shared across businesses and supply chains have grown beyond what can be maintained by traditional tools; therefore, Big Data, with all of its characteristics, and Big Data Technology have become relevant. As supply chains, data, and technology evolve, so do the skills of cybercriminals. Thus, the aim of this study was to establish the various risks that a company encounters at a supply chain level during Big Data integration. The study was qualitative and exploratory in nature and followed the interpretivist philosophical perspective. Semi-structured interviews were conducted over Microsoft Teams with seven participants. These individuals served in different roles focusing on the Data, Infrastructure and Security functions of the technology company under study. The findings of the study suggest that as data grows and new technologies are introduced, it becomes crucial to focus on risk assessment, risk management, and the data lifecycle within the company and its supply chain. While the current company is affected by breaches that originate within the company and within the supply chain, it is found that the extent to which the business is impacted by these breaches depends on its position within the supply chain. Hence, there is a potential for future research to explore the security risks that companies face at the supply chain level during Big Data integration. This research can involve categorising companies based on their position within the supply chain network and subsequently assessing the severity of the various effects experienced by different categories. By delving into this area, researchers can gain deeper insights into the specific security challenges and impacts that arise at different stages of the supply chain, contributing to a more comprehensive understanding of data security in the context of Big Data integration.