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    A model for addressing business and information system strategies alignment challenges in the health sector of Uganda

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    Master's dissertation (1.146Mb)
    Date
    2024-11
    Author
    Mukisa, Ivan
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    Abstract
    The misalignment between business and information systems (IS) strategies continues to pose significant challenges for organizations, particularly within the healthcare sector. Inefficiencies in service delivery, delayed decision-making, high operational costs, and compromised patient care are common outcomes of this misalignment. While the Strategic Alignment Model (SAM) by Henderson and Venkatraman (1993) has provided a foundational framework for understanding business-IS alignment, it falls short of addressing the dynamic and complex nature of modern healthcare challenges. This research aimed to extend the SAM model by incorporating features that offer greater flexibility, real-time data integration, and a patient-centric approach to healthcare delivery. A mixed-methods approach was employed, combining quantitative and qualitative analyses to comprehensively explore the alignment challenges faced by healthcare organizations. Data were collected through surveys with top managers in the healthcare sector, revealing critical issues such as fragmented data management, underutilization of technological investments, and resistance to change. The proposed model addresses these challenges by integrating adaptive strategies, agile resource management, and cultural change initiatives. The model was validated using a combination of performance metrics and stakeholder feedback. Results demonstrated significant improvements in operational efficiency, decision-making speed, cost savings, and patient care quality. The findings highlight the model’s potential to transform business-IS alignment in the healthcare sector, ensuring high-quality, efficient, and cost-effective care. The research concludes by discussing the theoretical and practical implications of the extended model and offering recommendations for future research to explore its applicability across other sectors.
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    http://hdl.handle.net/10570/14222
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