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Research Publications (Management Sciences)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/217

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Subject: search.filters.subject.Big data

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    Professional leadership investigation in big data and computer-mediated communication in relation to the 11th Sustainable Development Goals (SDG) Global Blueprint global blueprint
    (Step Academic, 2024-02-08) Aroba, Oluwasegun Julius; Dr. Bringula, Rex
    Methodology–The method adopted here is a research design and with the use of a quantitative researchdesign approachto carry out the analysis, thestudy investigated the connection between leadership influence, communication satisfaction, and job satisfaction in the context of CMC. Convenience sampling was used to gather the data, and structured questionnaires were used to protect the privacy and identity of the participants. The association between employee engagement and CMC was examined using multiple regression analysis. Findings–The questionnaireused in this study also evaluated participants' perceptions of workplace leadership, their satisfaction with communication, and their job satisfaction with the 11thSustainable Development Goals. The results showed a gender distribution with a slight female preponderance among the 103 participants (48 men and 55 women). Furthermore, they indicated that computer-mediated communication (CMC) channels account for 65.4% of organizational communication. These results demonstrate the widespread adoption and utilization of information and communication technologies (ICTs) within the surveyed organizations. Practical Implication–The substantial presence of internet-based communication channels, representing 65.4% of organizationalcommunication, emphasizes these channels' crucial role in facilitating effective communication within these organizations. Overall, the study analyses the effects of big data and CMC on professionalism and provides insights into gender distribution among participants. Research Limitations–Encouraging inclusive, safe, resilient, and sustainable cities and human settlements is the focus of Sustainable Development Goal (SDG) 11. Although it focuses on housing and urban challenges, its theoretical implications can be applied to several different sectors, such as professional leadership in big data. Theoretically, SDG 11 may have the following effects on Big Data-related professional leadership investigations.
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    The critical role played by big data management in effectively addressing the security and overall privacy concerns through correlation analysis
    (IEEE, 2022-04-28) Ahamad, Shahanawaj; Roshan, Amit; Lourens, Melanie Elizabeth; Shekher, Vineet; Joshi, Kapil; Alanya-Beltran, Joel
    Due to the widespread application of big data in a wide range of fields, there has been a significant rise in a diverse range of data assets, and numerous data analysis technologies, such as standardized data mining or quantitative analytical techniques, are speeding up the constant enlargement of the big data industry. The fact that information from several different resources has a life cycle from acquisition to disposal is a key property of big data, as is the fact that new information may be obtained via analysis, combining, and exploitation of existing data. Yet, information security & dependability challenges arise at every stage of the life cycle, rendering the protection of individually identifying data a vital goal throughout the whole process. It is possible to evaluate user behavior using different big data analytics techniques, and the collection of this information results in the violation of personal privacy. This study analyses dangers and security challenges that arise during the administration of large amounts of data by verifying the existing standards produced by international standardization bodies and doing an analysis of relevant research.