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Theses and dissertations (Management Sciences)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/14

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Author: search.filters.author.Lourens, Melanie ElizabethHas files: Yes

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    Artificial intelligence–based neural network for the diagnosis of diabetes and COVID
    (Universidad Tecnica de Manabi, 2022-07-01) Roland, Gilbert; Kumar, Navin; Gururaj, Bharathi; Richa, Richa; Bobade, Sunil Devidas; Lourens, Melanie Elizabeth
    In many nations, the prevalence of diabetes is rising, and its impact on national health cannot be overlooked. Smart medicine is a medical concept in which technology is used to aid in disease detection and treatment. The objective of this study is to take a gander at the information and look at changed diabetic mellitus forecasting algorithms. According to rising dismalness as of late, the quantity of diabetic patients worldwide will arrive at 642 million out of 2040, suggesting that one out of each 10persons would be affected. This worrisome figure, without a question, demands immediate attention. AI has been applied to an assortment of aspects of clinical wellbeing as a result of its rapid progress. To predict diabetes mellitus in this review, we utilized a choice tree, an arbitrary timberland, and a neural organization.
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    The relationship between the activity and impact training approaches as used in selected South African food manufacturing companies implementing total quality management
    (2000) Lourens, Melanie Elizabeth; Chetty, Gopalkrishna
    The aim of this investigation is to establish the relationship between the Activity and Impact .training approaches in selective South African food manufacturing companies in order to establish which training approach makes the greatest contribution to a Total Quality Management implementation strategy. The main characteristics of these two training approaches are the following: In the Activity training approach the focus is on individual training requirements. Here the trainee and/or the line supervisor subjectively identify individual training requirements (training needs). Furthermore, this approach has no conclusive form of evaluation being conducted, especially to determine whether the knowledge and skills gained during the training course has been transferred to the trainee's working environment Impact training focuses on results-orientated training aimed at meeting the needs of the organisation by providing employees with relevant knowledge and skills to improve their performance. The work environment is seen as an extension of the training programme enabling both the Human Resources Department (Training and Development Department) and the line manager to work in joint collaboration when measuring the trainees' performance in a practical environment A self-designed questionnaire was used to determine whether the selected sample population (n=171) follows an Activity or an Impact training approach when implementing a Total Quality Management strategy. The research revealed three pertinent findings: Firstly, Total Quality Management programmes implemented within the South African food manufacturing industry characterise both the Activity and the Impact training approaches.
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    Developing an exploratory framework of human capital linked to intellectual capital and knowledge management for a selected university of technology in South Africa : a case study
    (2016) Lourens, Melanie Elizabeth; Jinabhai, Dinesh C.; Dorasamy, Nirmala
    The aim of this study was the development of an Exploratory Framework of Human Capital linked to Intellectual Capital and Knowledge Management for the Durban University of Technology as a case study. The main problem revolved around the lack of an integrated road map for the identification, management and operationalisation of an integrated framework for the Durban University of Technology (DUT) in the UoT Sector, focusing on Human Capital capabilities, Intellectual Capital and Knowledge Management, which emphasised the need for this study. The three main objectives of the study were to investigate the importance and contribution of Human Capital at the DUT operating in a highly dynamic Knowledge-based Economy, to formulate strategies for the Institution to meet its Human Capital demands in the competitive Knowledge-based Economy and to develop an Exploratory Framework of Human Capital linked to Intellectual Capital and Knowledge Management for the Durban University of Technology. The research design adopted was the quantitative paradigm with a pre-coded structured close ended questionnaire comprising the 5 Point Likert Scale that was used to administer the instrument to the selected sample respondents. The questionnaire comprised of 5 Sections, each under a specific main theme related to the research topic. The target population comprised of 1874 employees at the Durban University of Technology. A computerised tool called the Excel Functionality Program was used to generate the random numbers for the sample selection for each group. The sample of 320 employees was selected using simple random sampling without replacement for both the Administrative and Academic staff members at the DUT. A total of 280 questionnaires were returned by the sample respondents. However, 8 questionnaires were discarded as they were incomplete and the final questionnaire returns equated to n = 272, namely, (118 questionnaires from the Academic Staff grouping and 154 questionnaires from the Administrative Staff). This represented a high response rate of 85% which was largely attributed to the researcher using the personal method of data collection. After the study was completed, the researcher solicited the services of a Senior Librarian to run the TURNITIN Program to test the entire thesis for plagiarism which proved useful. In the main, the analysis of the data involved the use of robust non-parametric tests for the empirical analyses using the Statistical Package for Social Sciences (SPSS) version 21 for Windows. A variety of non-parametric tests were also used to test some 71 hypotheses formulated for the various sections and components of the study as well the tenability of the Exploratory Framework (Figure 4.1) developed. Some significant findings emerged from the comprehensive statistical analyses which were also corroborated by national and international studies conducted by various researchers who also showed their concordance or discordance with the current findings and were referenced accordingly. It should be noted that the recommendations cannot be generalised to other UoTs in the HE Sector, as this was an in-house investigation involving the DUT as a case study. The main empirical findings of the study, inter alia, included the following: The value of integrating Intellectual Capital and Knowledge Management into strategic planning at the DUT, the importance of developing an operationalised Human Capital Scorecard to address the different functions of the Academic and Administrative groups respectively at the DUT and a strong emphasis and role of Strategic Human Resource Management at the DUT. Thus, the Exploratory Framework developed as a model for the DUT within the UoT Sector concomitant with the outcomes and recommendations of the study may prove beneficial for future goal oriented strategies by top management of DUT. The study concludes with suggestions for further research in this emerging field of endeavour.