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Factors influencing consumer buying behaviour of luxury goods among the LGBTQI+ market segment
Full text linkThis study delves into the factors shaping the purchasing behaviour of luxury goods within the LGBTQI+ market segment in South Africa. Despite being a substantial and diverse market with distinctive consumer preferences, limited research exists to understand the specific motivations driving the LGBTQI+ community's luxury product purchases. The growing acceptance of the LGBTQI+ community has not only increased their visibility but has also led to heightened consumer spending within this segment. The Pink Economy, a term coined to describe the economic power of the LGBTQI+ community, highlights their substantial financial contributions across various sectors. This encompasses businesses and industries customized specifically for LGBTQI+ consumers, ranging from essential goods to luxury items like those found in fashion, travel, and entertainment. Against the backdrop of the expanding luxury brand product category and the increasing expenditures of the LGBTQI+ market segment, particularly in the luxury sector, there arises a need to explore strategies for attracting a more significant share of LGBTQI+ consumers. Diverse motivations drive the purchase of luxury goods within this segment, with individuals from various demographics having distinct perspectives on and connections to luxury brands. To investigate these factors, the study targeted individuals who identify as queer or non-heterosexual. Specifically, those who identify as lesbian, gay, bisexual, transgender, queer, intersex, and other sexual orientations such as pansexual and Two-Spirit (LGBTQI+), reside within South Africa and were between the ages of 18 and 65. The Taro Yamane formula was used to determine the sample size needed for the study. It identified a required sample size of 400 respondents, and the study ultimately received 428 responses. The data was analyzed using Statistical Package for the Social Sciences (SPSS) 28, and Structural Equation Modelling (SEM) using Analysis of Moment Structures (AMOS) 28, aimed to reveal insights into the relationships between variables. The findings highlight a significant and positive correlation between psychological factorsThesis (MCom) -- Faculty of Business and Economic Sciences, School of Management Sciences, 202
Economic complexity and inclusive growth in Sub-Saharan Africa: a cross country analysis
Full text linkThe concept of economic complexity is a relatively new term in economics literature, it is used to refer to the magnitude of productive knowledge or capabilities embedded in society. However, because of its potential impact on national prosperity, it is hypothesized that differences in the degree of economic complexity are major factors of inequalities in the growth rates of nations. The approach of economic complexity makes use of fine-grained data on thousands of economic activities to learn both abstract factors of production and the way they combine into thousands of outputs. However, it is only in recent years that studies have started to consider the association between economic complexity and economic growth. As such, there is a lack of robust, vigorous literature that examines the association between economic complexity and inclusive growth, particularly in the context of Sub Sub-Saharan Africa. The extant literature focuses on the relationship between economic complexity and isolated cases of some macroeconomic indicators of growth. As a departure from the existing studies and as a contribution to the field, inclusive growth, in this study, is measured as a composite index from various growth indicators as postulated in the inclusive growth theories and then each indicator is viewed separately. Thus, the general purpose of the study is to investigate the relationship between economic complexity and inclusive growth in Sub Sub-Saharan Africa from 1996 to 2019 2019, which is the primary objective of the study. The first objective of the study is to examine the effect of economic complexity on welfare indicators in Sub Sub-Saharan African countries from 1996 to 2019. In examining the effect, the study employed a Pool Mean Group – Autoregressive Distributive Lag (PMG PMG-ARDL) model. The results of the study reveal that economic complexity, economic growth rate, and terms of trade have a positive and statistically significant long-run impact on welfare in Sub Sub-Saharan Africa. The short-run dynamics reveal that economic complexity negatively and significantly affects welfare. The study's second objective examines the impact of economic complexity on economic indicators in Sub-Saharan African countries from 1996 to 2019. To examine the impact, the study employed the Panel Ordinary Least Square (POLS) model. The results of the study demonstrate that economic complexity, foreign direct investment, inflation, and population growth have a negative and significant impact on the economic index. However, government expenditure demonstrates a positive and significant effect on economic indicators. The third objective of the study examines the effect of economic complexity on human development in Sub Sub-Saharan African countries from 1996 to 2019. In examining the effect, the study employed the Panel Dynamic Ordinary Least Square (DOLS) model for the long-run relationship, and the Generalised Method of Moments (GMM) for the short-run relationship. The results of the long long-run relationship show that economic complexity has a negative impact on human development which is significant at 1 percent. Short Short-run relationships reveal that economic complexity has a positive and insignificant impact on human development. The fourth objective of the study investigates the effect of economic complexity on good governance in Sub Sub-Saharan African countries from 1996 to 2019. The study employed the Pool Mean Group – Autoregressive Distributive Lag (PMG PMG-ARDL) model to investigate the relationship. The PMG PMG-ARDL model results reveal that economic complexity, foreign aid, and the Gini coefficient have a positive and statistically significant long-run impact on good governance in Sub Sub-Saharan Africa. The fifth and last objective of the study investigates the effect of economic complexity on inclusive growth in Sub Sub-Saharan African countries from year 1996 to 2019. To investigate the relationship, the study applied the Panel Vector Autoregressive (P-VAR) model. The results from the grangerGranger-causality test show a unidirectional relationship running from economic complexity to inclusive growth, the panel VAR model reveals that economic complexity has a negative and significant effect on inclusive growth at 10 percent level of significance in Sub Sub-Saharan Africa. The present study investigated five objectives, and out of the five objectives, only two (i.e., Welfare and Good Governance ) have a positive and significant relationship with economic complexity in the long long-run. This implies that with more productive structures, these countries would be in a better position to promote institutional quality and later advance welfare regimes in Sub Sub-Saharan Africa. However, for that goal to be realized, the Sub-Saharan African region should first achieve, or have, a certain level of economic development.Thesis (PhD) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 202
Project management deficiencies in construction implemented projects in the Eastern Cape
Full text linkThe problems that crop up in each project are unique to that project. They can also be avoided or minimised as inherent weaknesses. Project managers lack strategic considerations when running projects. This is primarily dependent on individuals’ implementation of project management. The concern is how project managers implementing construction projects can be corrected to remove management deficiencies. In recent years, project management has become an essential part of organisations. This is because of the changing nature of managing organisations due to technological advancement and a complex, competitive global marketplace (Nguyen, Nguyen, Le-Hoai & Dang, 2015). Projects require huge capital outlays. As such, it is crucial to have good project management practices to deliver value for money projects and programmes. Therefore, the importance of good project management practices cannot be ignored by corporate managers, as failure destroys shareholders’ value and, in the private sector, can significantly affect the various stakeholders associated with projects. However, studies indicate that companies in the private sector in the Eastern Cape sometimes fail to complete projects. (Fabian & Amir, 2015). Project management deficiencies in the Eastern Cape are as high as those of other provinces in South Africa, if not higher (Saad, 2022). The primary reasons for project management deficiencies are project planning failure, scope management failure, resource management failure, and communication management failure (Liu, Louw, Ngugi & Smith, 2011). Therefore, using different success and failure criteria, this study aims to measure the impact of project management deficiencies in communication management, project planning, scope change, and resource management. Project management deficiencies in construction projects implemented in recent years have been one of the topics most discussed by academics, practising managers, the private and public sectors, and many social commentators worldwide.Thesis (MSc) -- Faculty of Engineering, the Built Environment and Technology, School of Built Environment and Civil Engineering, 202
Statistical learning methods for photovoltaic energy output prediction
Full text linkPredicting solar energy accurately is important for the integration of more renewable energy into the grid, which can help to alleviate the energy demand on traditional coal-powered sources in South Africa. This study aims to assess several statistical learning models to predict the energy output of a 1MW photovoltaic system installed on the Nelson Mandela University South Campus in Gqeberha. Weather data (including temperature, wind speed, wind direction, precipitation, air pressure, and humidity) and solar irradiance data (including global horizontal radiation, diffuse radiation, and direct radiation) are used to predict the energy output of this system using Artificial Neural Networks (ANN), Support Vector Machines (SVM), Multiple Linear Regression (MLR), and Regression Trees (RT). The performance of each of the models was compared and the results indicated that the ANN model performed best.Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 202
Comparative study of the effect of iloprost on neuroinflammatory changes in c8-b4 microglial cells and murine model of trypanosomiasis
Full text linkNeurodegenerative conditions significantly impact well-being and quality of life in individuals with major symptoms including mood disorders, cognitive decline, and psychiatric disturbances, often resulting from neuroinflammation triggered by immune responses to bacterial or parasitic infections such as gram-negative bacteria or Human African Trypanosomiasis. Microglia play a crucial role in both neurotoxicity and cellular processes involved in restoring the neural health. Exploring the therapeutic potential of prostacyclin and its analogues in regulating microglia responses to inflammatory insult and treating Trypanosoma brucei (T.b) infection remains an unexplored area. The aim of this study was to assess the potential neuroprotective effects of Iloprost through comparative analysis of neuroinflammatory responses in both microglial cells exposed to lipopolysaccharide (LPS) and mouse brains infected with T.b brucei. In phase I of this study both resting and LPS treated C8-B4 microglial cells were exposed to varying concentrations of Iloprost. The effects of Iloprost on LPS-induced inflammation were analysed using immunofluorescence to detect microglial activation and differentiate between pro and anti-inflammatory phenotypes. Furthermore, pro and anti-inflammatory cytokine secretion was determined using an ELISA, in addition gene expression analysis was carried out using quantitative polymerase chain reaction (qPCR). Also, DNA methylation status of C8-B4 cells exposed to LPS challenge alone or in combination with various concentrations of Iloprost were determined using bisulfite sequencing technique followed by qPCR. In phase II of the study, a total of twenty-four Albino Swiss male mice (8-10 weeks old) were divided into four treatment groups with 6 mice in each group. All treatment groups except the non-infected control were inoculated with the T.b brucei parasite. One group received a single intraperitoneal injection of Diminazene aceturate (4 mg kg-1) while the remaining group received repeated intraperitoneal injections of Iloprost (200 μg kg-1). On day ten of the study, mouse brains were removed on ice using forceps. The hippocampal tissues were dissected out and processed for quantification of gene expression changes in pro and anti-inflammatory cytokines. Overall, the findings of this study indicate that LPS-induced pro-inflammatory cytokine, TNF-α and IL-1β, secretion and gene expression is down-regulated in C8-B4 microglial cells treated with Iloprost. Furthermore, there was a significant up-regulation in the expression of anti-inflammatory genes, particularly ARG-1, CD206, BDNF and CREB in response to Iloprost treatment following LPS-induced inflammation. This study is also the first to confirm M2 microglial polarization with Iloprost treatment in both resting and LPS treated cells. However, hypermethylation at CREB and BDNF promoter regions was observed 24 hours after Iloprost treatment. Additionally, Iloprost reversed hypomethylation at the BDNF promoter region that had been induced by LPS treatment. The rodent model also indicated a downregulation in the pro-inflammatory cytokine, IL-1β, expression and upregulation of BDNF transcription in T.b brucei infected mice treated with repeated doses of Iloprost. In conclusion, determining the immunomodulatory roles of Iloprost in both in vitro and in vivo models of neuroinflammation could assist in the development of alternative therapy for neurodegenerative disease.Thesis (MSc) -- Faculty of Science, School of Biomolecular & Chemical Sciences, 202
Rural teachers’ experiences during covid-19 pandemic: lessons learnt to cope with future emergencies
Full text linkThis study focused on challenges faced by rural teachers during the COVID-19 pandemic, with the intention of using the outcomes to develop a framework that could assist with coping with similar challenges in future emergencies. The study was situated in the interpretivist paradigm. A qualitative approach was employed using interviews and a focus group discussion. Bronfenbrenner’s ecological theory and the theory of rurality were used as lenses to explore and interpret the challenges that rural teachers experienced during the COVID-19 pandemic. The study's findings reveal that teachers faced the following challenges: mental health, adaptability, impact on personal life, safety, and work environment challenges. Furthermore, the study also found that teachers used the following coping mechanisms to deal with the challenges during the pandemic: adherence to rules and regulations, pastoral services, support from friends and family, collaboration, and physical activity. Finally, after applying both the theory of rurality and Bronfenbrenner's ecological theory to the findings, a framework was developed to assist in coping with future emergencies.Thesis (MEd) -- Faculty of Education, Post Graduate Education, 202
Exploring outdoor mathematics learning for conceptual understanding through smartphones
Full text linkThis study investigated how selected grade 11 mathematics learners used smartphones with the MathCityMap application to learn trigonometry outdoors for conceptual understanding. The aim of this research project was to explore outdoor mathematics learning for conceptual understanding using smartphones. This case study of grade 11 mathematics learners in Lejweleputswa District in the Free State Province, was informed by the Realistic Mathematics Education theory. The study is grounded within an interpretive paradigm and used the explanatory sequential mixed-method design. Forty-two grade 11 mathematics learners participated in the survey and from these 12 were purposively selected to participate in walking the mathematics trails and interviews. The findings revealed that, while the grade 11 mathematics learners acknowledged the significance and value of using smartphones for learning mathematics, they were prohibited from carrying or using smartphones on the school premises, as part of the school code of conduct. The preferred use of smartphones for learning mathematics was understandable, as the survey was conducted at a time when the COVID-19 pandemic and associated restrictions were still in place. The survey unearthed that among applications for learning mathematics, the MathCityMap application was not known by the learners who participated in the survey. Mathematics trails observations indicated that outdoor tasks were a source of mathematical concepts or formal mathematical knowledge, and enabled learners to reinvent mathematical ideas and concepts with adult guidance. Learners were able to make use of appropriate mathematical models and connections. The mathematics trails ignited robust discussions among learners, and prompted learners to draw from prior knowledge, and recognise and identify suitable mathematical models and shapes from the real-world objects. Learners were able to use multiple representations, make necessary mathematical links, and use their prior knowledge to enhance their trigonometry conceptual understanding. This study concluded that using smartphones with the MathCityMap application could enhance conceptual understanding of trigonometry. The implications for teachers are that learners should be exposed to outdoor mathematics learning using smartphones with the MathCityMap application to improve their conceptual understanding. It is hoped that the results of this study can be used by various stakeholders, who include, inter alia, mathematics subject advisors and teacher training institutions, to enhance learners’ conceptual understanding of mathematics.Thesis (MEd) -- Faculty of Education, Secondary and Post School Education, 202
The impact of South Africa's sale of weapons to Saudi Arabia : the case of Yemen
No full textSince the start of the Yemeni conflict in 2014, both the Saudi-led military and the Iranian-backed Houthi Rebel group have launched missile airstrikes across the nation (Sharp & Brudnick, 2015). These attacks are carried out using high-tech military tools, such as drones, aircraft, bombs, and other weapons. According to Hokayem (2016), nearly 24 million Yemenis require aid as Yemen experiences the world’s largest humanitarian crises. Open Secretes released a report in 2020 outlining that weapons used in the war in Yemen could be traced back to Denel, alluding to its role and complicity in the conflict. The aim of this study is to investigate the role of Denel in the conflict in Yemen and its socio-economic effects. In doing so, South Africa’s trade relations with the Saudi-Arabia will be explored. In addition, unpacking the socio-economic conditions that exists domestically and internationally that influence global arms trade. A qualitative research approach is employed. Secondary research analysis is conducted using government publications, international policy reports, books, journals, and newspaper articles. In addressing the social aspect of the arms trade effects, the humanitarian component uses a psycho-social theoretical framework which encompasses Burtons’ human needs theory. In addition to this main theory, the frustration-aggression theory as well as the relative deprivation theory were applied to support the theory central to the study. Fundamental to this study is understanding Denel’s’ complicity in the conflict in Yemen and the effects thereof. This stems from the company’s trade agreements between itself and Saudi Arabia, which has been at the forefront of multiple proxy wars within the region. Denel’s implied complicity stems from the correlation between the heightened period of conflict in the Yemen and the parastatal’s record-breaking order book during the same period. The research study focuses on the period between 2013 – 2016. Further research has been conducted in order to provide a comprehensive historical account and context of the conflict and the role of Denel as a parastatal organisation. Furthermore, this study delves into ongoing crises and the volatile nature of global arms trade regulations. It is for the reasons alluded to above that the study insists on not limiting period of the study to 2013 – 2016. The study findings suggest that although weapons used in the conflict in Yemen could be traced back to Denel, these were insignificant to the overall contribution to the conflict in Yemen, despite South Africa’s and Saudi Arabia’s breach of the End-User agreement. As a result of Saudi Arabia’s continued infringement of human rights, the state was not to be sold weapons as they are proven to have further ramifications against the protection of human rights. Moreover, the arms trade industry partially functions independently from government intervention and regulation, making it increasingly difficult to implement international policy. What is of paramount importance is the direct effect of conflict on innocent civilians who continue to suffer and the human cost of profit and the struggle for power and resources. Recommendations highlighted in the treatise include striking a balance between profitability and the humanitarian perspective by taking into consideration both private sector profit motives and the public sector's responsibility to prioritise human rights and the well-being of people. This approach ensures efficient management of Denel and reduces the possibility of privatization, as Denel remains the lifeline of the South African Defense Force (SADF). To ensure compliance with domestic and international arms treaty regulations, it is necessary to enforce a stricter process for arms sales justification. The agreement should incorporate legal measures that enable the prosecution of the state in cases where irregularities in weapons sales approval, including corruption or personal/political motives, are identified. The study recommends that Denel should initiate a strategic restructuring plan to revitalise its business model and leadership development. This restructuring should prioritise ethical business practices, legality, and vetting of customer information while ensuring profitability for self-sustainability. Addressing irregular sale agreements is crucial before investing in technology advancement and research. Growth assessment should be based on profit margins and order book prospects to ensure business optimisation and resource adequacy. Denel's success is vital for South Africa's GDP growth.Thesis (MA) -- Faculty of Humanities, School of Governmental and Social Sciences, 202
Graphene derivatives and electrocatalysts as composite electrodes for selective detection of catecholamine neurotransmitters
Full text linkIn this thesis, we investigated the development of electrochemical sensing electrodes based on graphene derivatives and the electrocatalyst composites of metallophthalocyanines and metal oxides towards the selective and sensitive detection of catecholamine neurotransmitters (NTs). The graphene and its derivatives offer excellent electron conductivity and hence their use as base electrode materials. Metallophthalocyanines are N4-macrocyclic metal organic complexes that have structural modification flexible and 18-π electrons with excellent electrocatalytic properties. They can incorporate transition metal ions at the centre of the macrocycle ring, and this further enhances their electrocatalytic activity. Transition metal oxides are of interest as these also offer excellent redox properties and pH sensitivity. A pH sensitive electrochemical sensor based on aminated graphene quantum dots (AmGQDs) and cobalt tetra carboxyphenoxy phthalocyanine (CoTCPhOPc) covalent conjugates onto the pre-grafted isophthalic acid (IPA) gold electrode was fabricated. It displayed excellent analytical performance towards the detection of dopamine (DA), norepinephrine (NOR) and epinephrine (EP). The electrochemical sensor exhibited good ability to suppress the background current due to ascorbic acid (AA), a major interference in the detection catecholamine NTs. The carboxylic acid functional group of cobalt phthalocyanine induced the pH sensitivity of the thin film and electrostatic repulsion of the negatively charged ascorbate (AA-) anion at physiological pH. In addition, the electrode could screen-off biological molecules in the newborn calf serum as a representative of a real sample. An electrochemically reduced graphene oxide–based cobalt phthalocyanine polymer (polyCoTAPc) composite electrochemical sensor was fabricated on glassy carbon electrode, GCE-ERGO/polyCoTAPc. The GCE-ERGO/polyCoTAPc could detect dopamine and paracetamol simultaneously as co-existing analytes in buffer and synthetic urine samples. We observed, (i) very strong absorption of the materials, (ii) increase in the electrode surface area, (iii) excellent conductivity, and (iv) electrocatalytic activity of the ERGO/polyCoTAPc composite surface. Furthermore, a simple ultrasensitive electrochemical sensor based on nickel hydroxide thin film electrodeposited onto reduced graphene oxide-molybdenum disulfide (RGO/MoS2) composite resulted in the electrochemical sensor that can selectively and simultaneously detect ascorbic acid, dopamine, and uric acid. A distinct peak potential separation was observed with excellent electrocatalytic oxidation currents. The electrochemical sensors developed in this work exhibited high sensitivity, selectivity, stability, and low detection limits suitable for the detection and determination of catecholamine NTs.Thesis (PhD) -- Faculty of Science, Chemistry, 202
Defining and regulating de facto and shadow directors: lessons from New Zealand
Full text linkThe term ‘director’ is commonly limited to those persons who have been validly appointed as directors. These directors are referred to as de jure directors. However, this is not the only type of director found in practical corporate settings. There are also those who have not been validly appointed as a director, who nonetheless act as directors and who are held out by companies as such. These persons are known as de facto directors. An individual who has not been validly appointed as a director, who is not held out by a company as such, but who still exercises some measure of control over the affairs of a company, is known as a shadow director. The existence of de facto and shadow directors is not peculiar to South Africa. New Zealand has seen fit to regulate de facto and shadow directors and has done so for over 70 years. Owing to the ambiguous wording of the definition of ‘director’ contained in the Companies Act, there is uncertainty whether the current definition in the Companies Act 71 of 2008 extends to de facto and shadow directors. This uncertainty resulted in the non-regulation of these forms of directorship. The Act only applies to those individuals who fall within the definition of ‘director’. The practical effect of this is the absence of clear avenues of accountability to those who occupy a position of power within a company without being appointed as a de jure director. Considering this, the core objectives of this research are to illustrate the far-reaching consequences of the non-regulation of de facto and shadow directors and how this problem may be remedied.Thesis (LLM) -- Faculty of La