Doctoral Theses (DISSD)

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    Business intelligence as a strategic approach for decision support tool in business organisation in Namibia
    (International University of Management, 2024) Hweka, Lulli Martha; Osakwe, Jude
    This thesis aimed to develop a strategic approach for leveraging Business Intelligence (BI) systems as decision support tools in Namibian business sectors, employing a mixed-method research approach to enhance data triangulation. Embracing an epistemological philosophy and a pragmatic research paradigm, the study utilized the research onion design to guide its multifaceted inquiry. The population encompassed all business sectors in Namibia, with a sample size of 150 participants chosen through convenience non-probability sampling. For qualitative research, a purposive non-probability sampling method selected 20 experts from ten organizations in Windhoek, interviewed using semi-structured interviews. Quantitative data, obtained through structured closed-ended questionnaires, utilized a simple random probability sampling technique. Thematic analysis, aided by NVivo software, uncovered patterns in qualitative data, while quantitative data underwent analysis through graphs and tables. The results indicate that BI can significantly enhance strategic decision-making, offering substantial benefits to strategic factors. A pivotal contribution of this study lies in the strategic development of BI applications for decision-making within corporate organizations. Additionally, it enriches the BI domain and organizational decision-making literature by providing profound insights into how decision-makers utilize BI outputs in intricate decisions. Future research could explore BI applications in diverse departments and installation procedures. Identified gaps in current BI systems research suggest possibilities for future work, emphasizing the need for assessing BI's value to organizational investments. Predominant challenges in BI utilization include an absence of a conducive organizational culture, data integration hurdles, and insufficient activities prompting BI tool usage. The author advocates purpose-driven BI system implementation aligned with organizational needs. Effective employee training is endorsed to mitigate resistance, with team development highlighted for its synergistic benefits. This study underscores the imperative for a nuanced and purposeful approach to BI implementation, contributing valuable insights for organizational decision[1]makers and future BI research endeavours.