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Theses and dissertations (Accounting and Informatics)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/4

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Author: search.filters.author.Epizitone, AyogebohStart date: 2010

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    Framework to develop a data-driven resilient and sustainable health information system for health care applications
    (2024) Epizitone, Ayogeboh; Moyane, Smangele Pretty; Agbehadji, Isreal Edem
    As the world advances, the population increases and many economic gradients are impacted in several sectors. The need for an information system that affords intelligent and valuable insights is a potential upshot to targeting some of the challenges of the current global transformation. In the healthcare sector, an integrated information system that is salient in augmenting and enabling healthcare is highly demanded. Thus, a sustainable and resilient Health Information System (HIS) for quality health care applications in the healthcare space is paramount. This premise is substantiated by the need for real-time elucidations from an information system like the HIS that is transient between time and space to enable healthcare applications for all healthcare stakeholders. However, the current HIS has been posited in extant literature to be flawed in affording enhanced healthcare. Accordingly, deploying HIS practically has been challenging with isolated stakeholders' involvement. Although HIS is inadequate, it still maintains a firm position in the healthcare systems. The WHO acknowledges its disposition as a core enabling constituent of healthcare and a vital tool to realise pressing healthcare agendas. Extant literature further asserts the potential of HIS in realising the sustainable development goal related to health and well-being. Recognising the value and benefits of HIS necessitates harnessing technological advancement to augment its capabilities and leverage its weaknesses. Thus, this thesis investigates the HIS for heathcare applications via a data-driven paradigm with maximum inferences to the stakeholders within the healthcare arena. This thesis pinpoints and constructs the development of sustainable and resilient HIS from a data-driven angle as necessary for healthcare augmentation. The thesis uses a research methodology that traversed the study's main aim at the intersection of design science research and data sciences in conjunction with a sociotechnological concept to afford a resilient and sustainable HIS for health care applications. To uncover the knowledge-creation capabilities of health data within the HIS environment and revolutionise healthcare. Additionally, it highlights data science techniques that have been deployed in the health arena for health care applications. The thesis also illustrates the importance of data sciences serialisation and its implementation within the healthcare arena. This study develops a novel framework for HIS for healthcare that takes advantage of data to provide a resolution to counter the challenges experience with their deployment and utilisation. The concerns of HIS juxtaposition that have resulted in inadequate healthcare and impermanence among stakeholders are also considered in this thesis. The proposed framework integrates the socio-technical stance in the face of digitalisation and globalisation. The thesis’ findings stem from a deeper delve into extant literature to substantiate the knowledge, constraints, and perception of HIS deliverables. In the course of this study, the performance of HIS and health care applications was uncovered from the analysis of the extant body of gen on healthcare to highlight the significance of HIS within the healthcare space. The findings substantiated the value of HIS and unveiled its untapped benefits to the healthcare arena. It also highlights an overview of the existing HIS framework, which established the datadriven paradigm for HIS sustainability and resiliency. It further discusses data sources, actions and decisions within the healthcare arena. Demonstrating a pragmatic application of generated insights from data sciences techniques urgently needed to transmute the healthcare systems and respond to its associated dares. A practical enactment of this efficient and effective holistic model framework that incorporates data sciences to attain a robust, resilient and sustainable HIS for health care applications is envisioned to benefit healthcare stakeholders significantly. In addition, deploying and implementing the proposed framework would benefit the global healthcare stakeholders to attain its goal of universal healthcare coverage at a minimal cost.
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    Critical success factors within an Enterprise Resource Planning System implementation designed to support financial functions of a public higher education institution
    (2021-09-02) Epizitone, Ayogeboh; Olugbara, Oludayo O.
    The Enterprise Resource Planning (ERP) system of an organization is a highly significant integrator of various processes of the organization that comes with many intrinsic merits. ERP systems will soon become intelligent enterprise systems as the world shift towards the fourth industrial revolution. This capability will make it significant to resolve the current snags plaguing the systems. Many of the snags that have been encountered and presented by the ERP systems have successfully been curbs with the concept of Critical Success Factors (CSFs). However, the nature and attributes of these factors have been inadequately dissected coupled with the lack of sound scientific methodology to validate the factors. Hence, turning them to be numerous without worth has prompted the quest to uncover CSFs in a sector that experience the most adverse impact is the Higher Education Institute (HEI) and the seldom researched area is the financial sector. The successful implementation of CSFs would significantly aid the efficacy of failing implementation of ERP systems. The study aims to pinpoint CSFs for ERP system enactment within the financial information system of a public HEI. Exploring four overarching objectives of identifying the minimal lot of CSFs for ERP enactment that would support financial function. To reconnoiter the magnitude of each of the CSFs in the financial sub-system arbitrated by a successful contrivance. To investigate an effective model that when adopted would support financial functions. To give wide-ranging reference to management for the efficient enactment of ERP systems that would sustain financial functions. To achieve these objectives, a mixed method methodology coupled with a pragmatism philosophy stance was employed that involved literature review, expert opinions, and application of advanced impact analysis technique. In this study, 205 CSFs were aggregated from the related literature and trimmed after a preliminary analysis to yield a minimal set of 20 CSFs that are applicable to the context of financial systems. Each factor was evaluated by a nadir sample size of nine experts through the deployment of an online data collection tool. The opinions of experts generated the Cross-Impact Matrix (CIM) that was evaluated using the advanced impact analysis (ADVIAN) technique. Application of ADVIAN explores the significance of the CSFs in a financial system. Presenting a resolution to the efficacious enactment of CSFs for ERP systems in HEIs determined by criticality, integration, and stability measurements. Additionally, ranking the CSFs utilizing the precarious, driving, and driven criteria to structure an effective model to assist financial functions. The outcomes can afford an eclectic practical blueprint as an allusion and bearing gage for planning, enacting and utilizing ERP systems to improve organizational performance.