A baseline study of land tenure rights and livelihoods in the Amatole District in the context of proposed shale gas development
- Authors: Mmtsila, Mkhuseli
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52969 , vital:44869
- Description: Shale Gas Exploration (SGE) is one among various means that are seen as a solution to the energy crisis of the 21st century. In many first world countries, especially in America, Shale Gas Exploration (SGE) has been one of the energy sources that has been utilised along with other energy sources like coal as a means of moving towards a cleaner and more sustainable renewable energy source to reduce carbon emissions as it burns cleaner than coal. Shale Gas Development (SGD) is now gaining momentum around the world, including in the African continent and in particular, South Africa, which has shown potential for exploration. The recently discovered shale gas deposits in the Karoo region have drawn significant attention across the entire central region of the interior, including the Amathole District of the Eastern Cape Province of South Africa, a region often neglected in the discussion surrounding SGD as it falls within the far eastern corner of the existing areas under application for exploration. In the District, as in the Province as a whole, this has brought discussions around potential for development for the area and the country at large. Since the discovery of shale gas extracts in the Karoo, there has also been a heated debate in looking at Shale Gas Development (SGD) as one of the alternatives to coal within the Integrated Resource Plan (IRP) to be a part of a mixed resource plan for the country. The heated debate is based on anticipated environmental short run effects together with long-run impacts in comparison with the economic benefits that could bring about economic growth and development in the Eastern Cape and South Africa at large. The concerns around Shale Gas Development (SGD) make it difficult to exploit the resource due to scepticism of residents of the Amathole District Municipality, environmental organisations, NGOs and civil society, including land tenure rights as there is an unresolved land question in South Africa. The debate around the land question in South Africa is based on redressing the socio-economic imbalances that were caused by the historical land dispossessions and the apartheid system that disallowed the indigenous black majority land rights. , Thesis (MA) -- Faculty of Business and Economic Sciences, Department of Development Studies, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Mmtsila, Mkhuseli
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52969 , vital:44869
- Description: Shale Gas Exploration (SGE) is one among various means that are seen as a solution to the energy crisis of the 21st century. In many first world countries, especially in America, Shale Gas Exploration (SGE) has been one of the energy sources that has been utilised along with other energy sources like coal as a means of moving towards a cleaner and more sustainable renewable energy source to reduce carbon emissions as it burns cleaner than coal. Shale Gas Development (SGD) is now gaining momentum around the world, including in the African continent and in particular, South Africa, which has shown potential for exploration. The recently discovered shale gas deposits in the Karoo region have drawn significant attention across the entire central region of the interior, including the Amathole District of the Eastern Cape Province of South Africa, a region often neglected in the discussion surrounding SGD as it falls within the far eastern corner of the existing areas under application for exploration. In the District, as in the Province as a whole, this has brought discussions around potential for development for the area and the country at large. Since the discovery of shale gas extracts in the Karoo, there has also been a heated debate in looking at Shale Gas Development (SGD) as one of the alternatives to coal within the Integrated Resource Plan (IRP) to be a part of a mixed resource plan for the country. The heated debate is based on anticipated environmental short run effects together with long-run impacts in comparison with the economic benefits that could bring about economic growth and development in the Eastern Cape and South Africa at large. The concerns around Shale Gas Development (SGD) make it difficult to exploit the resource due to scepticism of residents of the Amathole District Municipality, environmental organisations, NGOs and civil society, including land tenure rights as there is an unresolved land question in South Africa. The debate around the land question in South Africa is based on redressing the socio-economic imbalances that were caused by the historical land dispossessions and the apartheid system that disallowed the indigenous black majority land rights. , Thesis (MA) -- Faculty of Business and Economic Sciences, Department of Development Studies, 2021
- Full Text: false
- Date Issued: 2021-04
A framework to integrate social entrepreneurship into development planning in South Africa
- Authors: Nwauche, Sokeibelemaye
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52982 , vital:44881
- Description: The thesis presents a framework to integrate social entrepreneurship (SE) into development planning in South Africa. Even though there is no consensus on a universally accepted definition of the term, there is concurrence that SE brings about social change that can influence the overall development of the community. In South Africa, SE is thus conceived of as one of the mechanisms for addressing the wicked and persistent socio-economic challenges that face the country. Social entrepreneurship occurs in areas such as education, health, skills development, youth programmes, rehabilitation, safety, food security, poverty, job creation, human rights activism, environmental issues, arts and culture, among others. However, it remains unclear how SE is integrated into the development planning and implementation processes. Questions of integrating SE into development planning are asked within the context of South Africa as a democratic developmental state that intervenes in the development process. It emphasises the mobilization of and engagement with all sectors towards the achievement of its development objectives as articulated in the national development plan (NDP). Also, government recognizes organizations in the social enterprise sector (such as NPOs and NPCs) as stakeholders and development partners who deliver relevant services towards the achievement of these development objectives. However, there is a lack of framework to mobilize and integrate the social enterprise sector and SE into the development planning process. Social entrepreneurship, therefore, tends to occur in insolation from other development programmes. , Thesis (PhD) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Nwauche, Sokeibelemaye
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52982 , vital:44881
- Description: The thesis presents a framework to integrate social entrepreneurship (SE) into development planning in South Africa. Even though there is no consensus on a universally accepted definition of the term, there is concurrence that SE brings about social change that can influence the overall development of the community. In South Africa, SE is thus conceived of as one of the mechanisms for addressing the wicked and persistent socio-economic challenges that face the country. Social entrepreneurship occurs in areas such as education, health, skills development, youth programmes, rehabilitation, safety, food security, poverty, job creation, human rights activism, environmental issues, arts and culture, among others. However, it remains unclear how SE is integrated into the development planning and implementation processes. Questions of integrating SE into development planning are asked within the context of South Africa as a democratic developmental state that intervenes in the development process. It emphasises the mobilization of and engagement with all sectors towards the achievement of its development objectives as articulated in the national development plan (NDP). Also, government recognizes organizations in the social enterprise sector (such as NPOs and NPCs) as stakeholders and development partners who deliver relevant services towards the achievement of these development objectives. However, there is a lack of framework to mobilize and integrate the social enterprise sector and SE into the development planning process. Social entrepreneurship, therefore, tends to occur in insolation from other development programmes. , Thesis (PhD) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
A Functional Data Analysis approach to understand patterns imbedded within various data types
- Authors: Mangisa, Siphumlile
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Data mining
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52091 , vital:43426
- Description: The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling various data types. Strong motivation is provided for the use of interesting opportunities offered by FDA to analyse not only economic data, but generally, data from any domain. The use of these methods is illustrated using three unique self-contained case-studies from econometrics. , Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Mangisa, Siphumlile
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Data mining
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52091 , vital:43426
- Description: The thesis investigates the use of the novel Functional Data Analysis (FDA) methods in tackling various data types. Strong motivation is provided for the use of interesting opportunities offered by FDA to analyse not only economic data, but generally, data from any domain. The use of these methods is illustrated using three unique self-contained case-studies from econometrics. , Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
A model for smart factories in the consumer health sector
- Authors: Nherera, Bruce
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52959 , vital:44879
- Description: The manufacturing sector, globally, is facing significant challenges due to current societal, economic, environmental, and technological developments. To overcome the challenges into the future, manufacturing organisations will need new capabilities to manage their end to end supply chains to make sure that it is responsive and agile. The Smart factories, as an element of Industry 4.0, drive efficient operations while at the same time ensure that employees are safe, and operations are environmentally sustainable. The ability to be flexible, to be reconfigured and to be connected to customers allows Smart factories to mass customise their customers’ orders and maintain the same efficiencies when compared to mass production operations. Technologies such as the Internet of Things (IoT) in Smart factories must be employed to further drive efficiencies, agility and ease of production by giving operations the capability to respond in real time to problems with machines and customer requests. Smart factory technology allows operational sustainability through the efficient use of resources. The Smart factory revolution is significantly changing the relationship between humans and machines. Based on the literature review conducted, a theoretical model was constructed which was tested at a Consumer Health Organisation to identify the relationship between the dependent and independent factors. The independent factors, specified in the model were job security, organisation culture, training and skills, trust, costs and resources, parent company and standards. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Nherera, Bruce
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52959 , vital:44879
- Description: The manufacturing sector, globally, is facing significant challenges due to current societal, economic, environmental, and technological developments. To overcome the challenges into the future, manufacturing organisations will need new capabilities to manage their end to end supply chains to make sure that it is responsive and agile. The Smart factories, as an element of Industry 4.0, drive efficient operations while at the same time ensure that employees are safe, and operations are environmentally sustainable. The ability to be flexible, to be reconfigured and to be connected to customers allows Smart factories to mass customise their customers’ orders and maintain the same efficiencies when compared to mass production operations. Technologies such as the Internet of Things (IoT) in Smart factories must be employed to further drive efficiencies, agility and ease of production by giving operations the capability to respond in real time to problems with machines and customer requests. Smart factory technology allows operational sustainability through the efficient use of resources. The Smart factory revolution is significantly changing the relationship between humans and machines. Based on the literature review conducted, a theoretical model was constructed which was tested at a Consumer Health Organisation to identify the relationship between the dependent and independent factors. The independent factors, specified in the model were job security, organisation culture, training and skills, trust, costs and resources, parent company and standards. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
A systematic review of research into working capital management in South Africa
- Authors: Watson, Storm Brandon
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52995 , vital:44906
- Description: This study is set out to apply mixed methods approach to a systematic review of research into working capital management in South Africa. Research into working capital management has primarily focused on the effect it has on a business’s profitability, liquidity and performance. There is, however, limited research on the topic working capital management in South Africa and, as such, the primary objective of this study is to review research outputs on working capital management in South Africa. The purpose is to identify research gaps in the current body of knowledge by means of the development of a recommendation’s framework. , Thesis (MA) -- Faculty of Business and Economic Sciences, School of Management Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Watson, Storm Brandon
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52995 , vital:44906
- Description: This study is set out to apply mixed methods approach to a systematic review of research into working capital management in South Africa. Research into working capital management has primarily focused on the effect it has on a business’s profitability, liquidity and performance. There is, however, limited research on the topic working capital management in South Africa and, as such, the primary objective of this study is to review research outputs on working capital management in South Africa. The purpose is to identify research gaps in the current body of knowledge by means of the development of a recommendation’s framework. , Thesis (MA) -- Faculty of Business and Economic Sciences, School of Management Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
A theoretical study of alkoxyl radical and radical cation mediated cyclisation reactions in unsaturated alkanols
- Authors: Lee, Peter Mattison Clarke
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Density functionals
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52130 , vital:43430
- Description: A large part of this computational study focussed on selectivity patterns for 4-penten- 1-oxyl radical 1,5- and 1,6-cyclisations and for those of analogous 5-hexenyl, 4- penten-1-aminyl, 4-penten-1-iminyl and 3-phenylpropan-1-oxyl radicals. The study furthermore included cyclisation reactions of the radical cations of 4-penten-1-ol and 3-phenylpropan-1-ol. Calculations were performed for all applicable species involved in the two cyclisation modes studied, i.e. 1,5- and 1,6-cyclisation. These species included radical and radical cation precursors, as well as relevant radical transition state structures and radical adducts. All cyclisation systems investigated used the Density Functional Theory (DFT) functional B3LYP with a combination of eight basis sets. Each basis set used was a progressively higher level of theory than B3LYP/6-31G* which was used as a starting point. Cyclisations for unsubstituted species, e.g. the 4-penten-1-oxyl radical 1,5- and 1,6-cyclisations, were also simulated using the ωB97X-D and ωB97X-V functionals which account for dispersive effects. The same set of eight basis sets were used with these two functionals. , Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Lee, Peter Mattison Clarke
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Density functionals
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10948/52130 , vital:43430
- Description: A large part of this computational study focussed on selectivity patterns for 4-penten- 1-oxyl radical 1,5- and 1,6-cyclisations and for those of analogous 5-hexenyl, 4- penten-1-aminyl, 4-penten-1-iminyl and 3-phenylpropan-1-oxyl radicals. The study furthermore included cyclisation reactions of the radical cations of 4-penten-1-ol and 3-phenylpropan-1-ol. Calculations were performed for all applicable species involved in the two cyclisation modes studied, i.e. 1,5- and 1,6-cyclisation. These species included radical and radical cation precursors, as well as relevant radical transition state structures and radical adducts. All cyclisation systems investigated used the Density Functional Theory (DFT) functional B3LYP with a combination of eight basis sets. Each basis set used was a progressively higher level of theory than B3LYP/6-31G* which was used as a starting point. Cyclisations for unsubstituted species, e.g. the 4-penten-1-oxyl radical 1,5- and 1,6-cyclisations, were also simulated using the ωB97X-D and ωB97X-V functionals which account for dispersive effects. The same set of eight basis sets were used with these two functionals. , Thesis (PhD) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
An assessment of different methods for measuring mammal diversity in two Southern African arid ecosystems.
- Authors: Burt, Chloe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Biodiversity -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52338 , vital:43591
- Description: A current critical environmental problem is the loss of biodiversity. To allow for adaptive management and effective conservation interventions, reliable data needs to be readily available and effectively collected. To gather reliable data, the most appropriate method must be used. The aim of this thesis was to compare the effectiveness and efficiency of different mammal diversity sampling techniques, including discussing specificities and complementarity of each. I also assessed the limitation of methods in terms of the influence of species traits on detectability. I used standard mammal field methods such as block transects, camera traps, track plates, spotlight surveys, mist nets, acoustic surveys, and live traps for a wide range of mammal taxa, and also included the use of local knowledge in the comparison. I assessed the cost-efficiency of each method by determining the cost per species. The efficiency of each method was assessed by observing when the species accumulation curve reached an asymptote. The effectiveness was determined by the species richness and the taxonomic groups the method detected. My results indicated that block transects were the most efficient and effective method to assess species richness. However, a combination of methods allowed for a more comprehensive survey and my results indicate that block transects and live traps were the best combination. It is important to note, not only the effectiveness and efficiency of methods be assessed, but also their limitations. I therefore also assessed the influence of species traits on the detectability of five methods. The species traits that I tested were body size, diet, activity, and if they lived in groups. On both study areas, body size was the main trait that influenced detectability with most field methods. Diet and activity had varying influence on detectability depending on the method. Group living did not significantly influence detectability. Based on my results, I provide guidelines for choosing the most appropriate survey method for targeted studies on mammals in arid ecosystems as well as guidelines for choosing the most appropriate methods for a terrestrial mammal inventory. Survey methods selection and guidelines provided here can allow for effective monitoring and therefore effective and adaptive management and having reliable and repeatable outcomes from surveys. , Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Burt, Chloe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Biodiversity -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52338 , vital:43591
- Description: A current critical environmental problem is the loss of biodiversity. To allow for adaptive management and effective conservation interventions, reliable data needs to be readily available and effectively collected. To gather reliable data, the most appropriate method must be used. The aim of this thesis was to compare the effectiveness and efficiency of different mammal diversity sampling techniques, including discussing specificities and complementarity of each. I also assessed the limitation of methods in terms of the influence of species traits on detectability. I used standard mammal field methods such as block transects, camera traps, track plates, spotlight surveys, mist nets, acoustic surveys, and live traps for a wide range of mammal taxa, and also included the use of local knowledge in the comparison. I assessed the cost-efficiency of each method by determining the cost per species. The efficiency of each method was assessed by observing when the species accumulation curve reached an asymptote. The effectiveness was determined by the species richness and the taxonomic groups the method detected. My results indicated that block transects were the most efficient and effective method to assess species richness. However, a combination of methods allowed for a more comprehensive survey and my results indicate that block transects and live traps were the best combination. It is important to note, not only the effectiveness and efficiency of methods be assessed, but also their limitations. I therefore also assessed the influence of species traits on the detectability of five methods. The species traits that I tested were body size, diet, activity, and if they lived in groups. On both study areas, body size was the main trait that influenced detectability with most field methods. Diet and activity had varying influence on detectability depending on the method. Group living did not significantly influence detectability. Based on my results, I provide guidelines for choosing the most appropriate survey method for targeted studies on mammals in arid ecosystems as well as guidelines for choosing the most appropriate methods for a terrestrial mammal inventory. Survey methods selection and guidelines provided here can allow for effective monitoring and therefore effective and adaptive management and having reliable and repeatable outcomes from surveys. , Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 2021
- Full Text: false
- Date Issued: 2021-04
An assessment of risk management in a State-Owned Enterprise (SOE): a case of Transnet engineering
- Authors: Mnyiphika, Aphiwe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53009 , vital:44868
- Description: State-owned enterprises are facing several challenges. The challenges are associated with several risks in the business environment. Risk management has become increasingly important in the day to operations of any enterprise. This study is conducted to assess risk management implementation and execution within a state-owned enterprise (SOE). The main reason behind this research is that very little is known about risk management in the SOE sector in South Africa, as can be seen by the perpetual failure of these organisations. Therefore, this research focused on assessing the implementation and execution of risk management at Transnet Engineering because it continues to suffer losses as a result of “state capture”. The study sought to find out the role of organisational culture on the adoption of risk management in a state-owned enterprise. the main objectives of the research focused on the impact of commitment on the adoption of risk management in a state-owned enterprise; the function of implementation on the adoption of risk management in a state-owned enterprise; and the impact of monitoring on the adoption of risk management in a state-owned enterprise. A qualitative research methodology was utilised to attain results for these research objectives.The areas focused on Transnet Engineering with it regions and excluded other subdivisions of Transnet such as Transnet National Ports Authority, Freight rail, Port Terminals Pipelines and Properties. Convenience sampling was used to select 10 appropriate participants who were willing to provide the needed information to furnish the study’s findings. Interviews were utilised to collect data for this study. The data that was collected in this study was analysed using thematic analysis. The main findings of this study show that the organisational culture of Transnet Engineering is not enhancing the adoption and implementation of Enterprise Risk Management (ERM). , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMMU Business School, 2021
- Full Text:
- Date Issued: 2021-04
- Authors: Mnyiphika, Aphiwe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53009 , vital:44868
- Description: State-owned enterprises are facing several challenges. The challenges are associated with several risks in the business environment. Risk management has become increasingly important in the day to operations of any enterprise. This study is conducted to assess risk management implementation and execution within a state-owned enterprise (SOE). The main reason behind this research is that very little is known about risk management in the SOE sector in South Africa, as can be seen by the perpetual failure of these organisations. Therefore, this research focused on assessing the implementation and execution of risk management at Transnet Engineering because it continues to suffer losses as a result of “state capture”. The study sought to find out the role of organisational culture on the adoption of risk management in a state-owned enterprise. the main objectives of the research focused on the impact of commitment on the adoption of risk management in a state-owned enterprise; the function of implementation on the adoption of risk management in a state-owned enterprise; and the impact of monitoring on the adoption of risk management in a state-owned enterprise. A qualitative research methodology was utilised to attain results for these research objectives.The areas focused on Transnet Engineering with it regions and excluded other subdivisions of Transnet such as Transnet National Ports Authority, Freight rail, Port Terminals Pipelines and Properties. Convenience sampling was used to select 10 appropriate participants who were willing to provide the needed information to furnish the study’s findings. Interviews were utilised to collect data for this study. The data that was collected in this study was analysed using thematic analysis. The main findings of this study show that the organisational culture of Transnet Engineering is not enhancing the adoption and implementation of Enterprise Risk Management (ERM). , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMMU Business School, 2021
- Full Text:
- Date Issued: 2021-04
An assessment of the key factors that may impact the future demand for red meat in South Africa
- Authors: Pearce, Nathan
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53019 , vital:44887
- Description: The global human population is estimated to be in excess of nine billion by the year 2050, and the added population is expected to put further pressure on already over- extended resources such as food and water. Increased demand, positive growth and record high prices should be encouraging for the red meat industry. Despite all the positives such as the growth in the world population and the consumer’s ability to spend, the popularity of red meat around the world and in South Africa is continually declining in favour of white meat and other non-meat proteins. Although red meat will often be the most expensive component of any diet, the nutritional value that red meat offers as part of a healthy and balanced eating plan, should not be understated. This study intends to identify and assess factors that may impact on the future sustainable demand for red meat. Sixty-two adults were surveyed through an electronic questionnaire to assess their views on red meat consumption in South Africa. A set of 52 questions were deduced from the main focus and objectives. The data was analysed and conclusions derived from it. The results show that the demand for red meat is sustainable if outlets selling red meat are accessible and the preference for red meat remains, even with stiff competition from substitutes like pork, chicken and vegetables. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Pearce, Nathan
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53019 , vital:44887
- Description: The global human population is estimated to be in excess of nine billion by the year 2050, and the added population is expected to put further pressure on already over- extended resources such as food and water. Increased demand, positive growth and record high prices should be encouraging for the red meat industry. Despite all the positives such as the growth in the world population and the consumer’s ability to spend, the popularity of red meat around the world and in South Africa is continually declining in favour of white meat and other non-meat proteins. Although red meat will often be the most expensive component of any diet, the nutritional value that red meat offers as part of a healthy and balanced eating plan, should not be understated. This study intends to identify and assess factors that may impact on the future sustainable demand for red meat. Sixty-two adults were surveyed through an electronic questionnaire to assess their views on red meat consumption in South Africa. A set of 52 questions were deduced from the main focus and objectives. The data was analysed and conclusions derived from it. The results show that the demand for red meat is sustainable if outlets selling red meat are accessible and the preference for red meat remains, even with stiff competition from substitutes like pork, chicken and vegetables. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
Antifungal activity of silver nanoparticles on Cryptococcus species
- Authors: Roman, Nasstasja
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Cryptococcus
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52089 , vital:43445
- Description: Cryptococcus neoformans is responsible for cryptococcal infections, which have become a great concern particularly in immunocompromised patients. This pulmonary disease causes damage to lung tissue and is presumed to be responsible for approximately 650,000 deaths annually. There is a major need for novel antimicrobial agents to avoid the emergence of resistant strains due to extended use of known antifungal drugs. Silver has become an important antimicrobial agent used in medical devices, cosmetics and even house-hold or clothing products. It is highly toxic and has a reduced risk of resistance. Silver nanoparticles have been broadly explored as an antimicrobial agent due to its high reactivity, large surface area and small size. They have been reported to display antimicrobial activity towards bacteria, viruses and fungi. C. neoformans is a pathogenic microorganism that possesses a number of virulence factors which increases the infectivity of the microorganism in immunocompromised individuals. Some of these include the presence of a polysaccharide capsule, melanin, urease and phospholipase production. Owing to limited availability of antifungal drugs and the possibility of drug resistance, this study focused on an alternative antimicrobial agent, namely silver nanoparticles, and the effects that silver nanoparticles had on fungal β-glucan, chitin and urease, phospholipase and melanin virulence factors. Results from our study show that silver nanoparticles inhibited the growth of C. neoformans at concentrations between 3.125 ƒM and 25 ƒM. Both 26.4 nm and 28.4 nm nanoparticles displayed growth inhibition, but were unable to kill the organism at concentrations of 200 ƒM and above. The silver nanoparticles caused a reduction in βglucan content. There was also an accumulation of intracellular ROS, and phospholipase activity, was reduced. In contrast, the organism displayed an increase in chitin content, melanin and urease activity upon exposure to the nanoparticles. This study shows that chemically synthesized silver nanoparticles are an effective antifungal alternative that greatly reduces or inhibits C. neoformans growth at very low concentrations (ƒM). For future studies it may be feasible to investigate the use of these nanoparticles in combination with known antifungal agents, to prevent the emergence of resistance and inhibit possible defense mechanisms displayed by the organism. , Thesis (MSc) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Roman, Nasstasja
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Cryptococcus
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52089 , vital:43445
- Description: Cryptococcus neoformans is responsible for cryptococcal infections, which have become a great concern particularly in immunocompromised patients. This pulmonary disease causes damage to lung tissue and is presumed to be responsible for approximately 650,000 deaths annually. There is a major need for novel antimicrobial agents to avoid the emergence of resistant strains due to extended use of known antifungal drugs. Silver has become an important antimicrobial agent used in medical devices, cosmetics and even house-hold or clothing products. It is highly toxic and has a reduced risk of resistance. Silver nanoparticles have been broadly explored as an antimicrobial agent due to its high reactivity, large surface area and small size. They have been reported to display antimicrobial activity towards bacteria, viruses and fungi. C. neoformans is a pathogenic microorganism that possesses a number of virulence factors which increases the infectivity of the microorganism in immunocompromised individuals. Some of these include the presence of a polysaccharide capsule, melanin, urease and phospholipase production. Owing to limited availability of antifungal drugs and the possibility of drug resistance, this study focused on an alternative antimicrobial agent, namely silver nanoparticles, and the effects that silver nanoparticles had on fungal β-glucan, chitin and urease, phospholipase and melanin virulence factors. Results from our study show that silver nanoparticles inhibited the growth of C. neoformans at concentrations between 3.125 ƒM and 25 ƒM. Both 26.4 nm and 28.4 nm nanoparticles displayed growth inhibition, but were unable to kill the organism at concentrations of 200 ƒM and above. The silver nanoparticles caused a reduction in βglucan content. There was also an accumulation of intracellular ROS, and phospholipase activity, was reduced. In contrast, the organism displayed an increase in chitin content, melanin and urease activity upon exposure to the nanoparticles. This study shows that chemically synthesized silver nanoparticles are an effective antifungal alternative that greatly reduces or inhibits C. neoformans growth at very low concentrations (ƒM). For future studies it may be feasible to investigate the use of these nanoparticles in combination with known antifungal agents, to prevent the emergence of resistance and inhibit possible defense mechanisms displayed by the organism. , Thesis (MSc) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
Antiproliferative activity of novel rhenium complexes and medicinal plant extracts
- Oosthuizen, Kenneth Thomas, Venables, Luanne
- Authors: Oosthuizen, Kenneth Thomas , Venables, Luanne
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Medicinal plants -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52028 , vital:43441
- Description: Cancer is a complex, multifactorial disease that affects millions of individuals every year. The adverse side effects and escalating costs of current therapies coupled with the increased incidence of resistance to these therapies make it imperative that we explore novel treatments for the disease. This study investigated two avenues for novel drug design namely, novel synthetic compounds and medicinal plant extracts. The benzimidazole ring system has shown potential as a scaffold for designing novel anticancer agents. Conjugation of the metal rhenium to novel variants of this ring system open up the possibility of designing novel drugs that serve both a diagnostic and a therapeutic function. This study investigated the in vitro anticancer potential of ten such complexes against selected breast and cervical cancer cell lines. The selectivity of the complexes for cancer cells over normal cells was also investigated while the mechanism of action of effective complexes was determined by exploring cell cycle arrest, biochemical markers of apoptosis and mitochondrial membrane disruption. All ten complexes were screened against MCF7 breast and HeLa cervical cancer cell lines with four showing antiproliferative activity against both cancer cell lines and one showing cell line specific toxicity against MCF7 breast cancer cells. When looking at the SAR of the compounds it was noted that activity was higher in compounds which contain two potentially bidentate benzothiazole ligands, while compounds with potentially tridentate ligands show good activity, but only if the benzothiazole moiety is not involved in coordination. The complexes showed greater antiproliferative activity against the MCF7 breast cancer cells with IC50 values ranging from 3.2 to 7.0 µM versus a range of 7.6 to 24.4 µM being obtained on the HeLa cervical cancer cells. Antiproliferative complexes were tested against confluent and log phase Vero cells at their respective IC50 values to determine their effect on “normal” cells. Confluent Vero cells showed less cell death than those in log phase indicating that the complexes show preference for proliferating cells. The mechanism of action of the complexes was studied on both cancer cell lines via cell cycle analysis and apoptosis assays investigating phosphatidylserine translocation, caspase -3 and -8 activation and mitochondrial membrane potential with most complexes inducing cell cycle arrest followed by cell death via both the extrinsic and intrinsic pathways of apoptosis. Since 1940, 49% of all the available anticancer drugs approved for cancer treatment were natural products or directly derived from natural products. Plants are an excellent source of secondary metabolites, many of which are unique chemical compounds that cannot be synthesized in a laboratory. Ethnobotanical surveys conducted in conjunction with Traditional Health Practitioners of the Mkuranga and Same districts in Tanzania identified 25 plants that are used for the treatment of cancer. Four of these plants (A. mossambicensis, C. adenocaule, C. pseudopulchelusis and R. natalensis) with ethnobotanically reported anticancer usage showed cytotoxic activity against brine shrimp and were selected for further in vitro anticancer studies. All four plants were found to have antiproliferative activity against HeLa cervical cancer cells with IC50 values ranging from 3.4 to 50.8 µg/mL. This study was also tasked with investigating the mechanism of action of C. pseudopulchelus on HeLa cervical cancer cells by exploring cell cycle arrest, biochemical markers of apoptosis and mitochondrial membrane x disruption. C. pseudopulchelus caused early M phase arrest followed by slippage and subsequent cell death via the extrinsic pathway of apoptosis. In conclusion, this study showed that both novel complexes as well as medicinal plant extracts represent an interesting avenue for the development of novel anticancer drugs that are cheaper and produce less side effects than current therapies. , Thesis (MSc) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Oosthuizen, Kenneth Thomas , Venables, Luanne
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Medicinal plants -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52028 , vital:43441
- Description: Cancer is a complex, multifactorial disease that affects millions of individuals every year. The adverse side effects and escalating costs of current therapies coupled with the increased incidence of resistance to these therapies make it imperative that we explore novel treatments for the disease. This study investigated two avenues for novel drug design namely, novel synthetic compounds and medicinal plant extracts. The benzimidazole ring system has shown potential as a scaffold for designing novel anticancer agents. Conjugation of the metal rhenium to novel variants of this ring system open up the possibility of designing novel drugs that serve both a diagnostic and a therapeutic function. This study investigated the in vitro anticancer potential of ten such complexes against selected breast and cervical cancer cell lines. The selectivity of the complexes for cancer cells over normal cells was also investigated while the mechanism of action of effective complexes was determined by exploring cell cycle arrest, biochemical markers of apoptosis and mitochondrial membrane disruption. All ten complexes were screened against MCF7 breast and HeLa cervical cancer cell lines with four showing antiproliferative activity against both cancer cell lines and one showing cell line specific toxicity against MCF7 breast cancer cells. When looking at the SAR of the compounds it was noted that activity was higher in compounds which contain two potentially bidentate benzothiazole ligands, while compounds with potentially tridentate ligands show good activity, but only if the benzothiazole moiety is not involved in coordination. The complexes showed greater antiproliferative activity against the MCF7 breast cancer cells with IC50 values ranging from 3.2 to 7.0 µM versus a range of 7.6 to 24.4 µM being obtained on the HeLa cervical cancer cells. Antiproliferative complexes were tested against confluent and log phase Vero cells at their respective IC50 values to determine their effect on “normal” cells. Confluent Vero cells showed less cell death than those in log phase indicating that the complexes show preference for proliferating cells. The mechanism of action of the complexes was studied on both cancer cell lines via cell cycle analysis and apoptosis assays investigating phosphatidylserine translocation, caspase -3 and -8 activation and mitochondrial membrane potential with most complexes inducing cell cycle arrest followed by cell death via both the extrinsic and intrinsic pathways of apoptosis. Since 1940, 49% of all the available anticancer drugs approved for cancer treatment were natural products or directly derived from natural products. Plants are an excellent source of secondary metabolites, many of which are unique chemical compounds that cannot be synthesized in a laboratory. Ethnobotanical surveys conducted in conjunction with Traditional Health Practitioners of the Mkuranga and Same districts in Tanzania identified 25 plants that are used for the treatment of cancer. Four of these plants (A. mossambicensis, C. adenocaule, C. pseudopulchelusis and R. natalensis) with ethnobotanically reported anticancer usage showed cytotoxic activity against brine shrimp and were selected for further in vitro anticancer studies. All four plants were found to have antiproliferative activity against HeLa cervical cancer cells with IC50 values ranging from 3.4 to 50.8 µg/mL. This study was also tasked with investigating the mechanism of action of C. pseudopulchelus on HeLa cervical cancer cells by exploring cell cycle arrest, biochemical markers of apoptosis and mitochondrial membrane x disruption. C. pseudopulchelus caused early M phase arrest followed by slippage and subsequent cell death via the extrinsic pathway of apoptosis. In conclusion, this study showed that both novel complexes as well as medicinal plant extracts represent an interesting avenue for the development of novel anticancer drugs that are cheaper and produce less side effects than current therapies. , Thesis (MSc) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
Assessing community engagement programmes to mitigate uncontrolled, deliberately ignited fires in forestry plantation-communal land interface, Kwazulu-Natal, South Africa
- Authors: Ramantswana, Nontethelelo
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Forest fires -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52008 , vital:43439
- Description: Forestry plantations in South Africa are surrounded by poor local communities that normally depend on the forestry resources for subsistence. This interface area is faced with human induced uncontrolled fires. There is a lack of understanding regarding the reasons for deliberate ignition of uncontrolled fires. There is also lack of information on the success of community engagement programs (CEPs) as fire protection intervention and / or their implementation barriers. , Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Ramantswana, Nontethelelo
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Forest fires -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52008 , vital:43439
- Description: Forestry plantations in South Africa are surrounded by poor local communities that normally depend on the forestry resources for subsistence. This interface area is faced with human induced uncontrolled fires. There is a lack of understanding regarding the reasons for deliberate ignition of uncontrolled fires. There is also lack of information on the success of community engagement programs (CEPs) as fire protection intervention and / or their implementation barriers. , Thesis (MSc) -- Faculty of Science, School of Natural Resource Management, 2021
- Full Text: false
- Date Issued: 2021-04
Bayesian tolerance intervals and their application to ballistic grouping consistency in competitive shooting
- Authors: Gardiner, Marcell
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Bayesian statistical decision theory -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52456 , vital:43662
- Description: Competitive shooting has become immensely popular since the first modern Games held in 1896. Competitive shooting remains the fastest growing segment in the firearm industry, catering to individuals of all ages. Elite shooters are capable of reaching extreme levels of precision and accuracy, despite many factors existing that affect performance in Olympic shooting. One such factor is speed variability, which is dependent on the mass of the bullet, how constant is the lead being used, and, how constant the gunpowder is. The study focusses on the Bayesian simulation method proposed by Wolfinger (1998) for determining three kinds of tolerance intervals when applied to competitive shooting data, particularly examining speed variability. These tolerance intervals included the (𝛼𝛼,𝛿𝛿) tolerance interval (where 𝛼𝛼 is the content and 𝛿𝛿 is the confidence), the 𝛼𝛼 - expectation tolerance interval (where 𝛼𝛼 is the expected coverage of the interval) and the fixed-in advance tolerance interval in which the interval is held fixed and the proportion of process measurements it contains, is estimated. Speed measurements of individual shots fired were measured with either an Oeler 35P or Magneto Speed V3 chronograph and the data was fitted to a one-way random effects model. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text:
- Date Issued: 2021-04
- Authors: Gardiner, Marcell
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Bayesian statistical decision theory -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52456 , vital:43662
- Description: Competitive shooting has become immensely popular since the first modern Games held in 1896. Competitive shooting remains the fastest growing segment in the firearm industry, catering to individuals of all ages. Elite shooters are capable of reaching extreme levels of precision and accuracy, despite many factors existing that affect performance in Olympic shooting. One such factor is speed variability, which is dependent on the mass of the bullet, how constant is the lead being used, and, how constant the gunpowder is. The study focusses on the Bayesian simulation method proposed by Wolfinger (1998) for determining three kinds of tolerance intervals when applied to competitive shooting data, particularly examining speed variability. These tolerance intervals included the (𝛼𝛼,𝛿𝛿) tolerance interval (where 𝛼𝛼 is the content and 𝛿𝛿 is the confidence), the 𝛼𝛼 - expectation tolerance interval (where 𝛼𝛼 is the expected coverage of the interval) and the fixed-in advance tolerance interval in which the interval is held fixed and the proportion of process measurements it contains, is estimated. Speed measurements of individual shots fired were measured with either an Oeler 35P or Magneto Speed V3 chronograph and the data was fitted to a one-way random effects model. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text:
- Date Issued: 2021-04
Benthic habitat mapping using marine geophysics and machine learning on the continental shelf of South Africa
- Authors: Pillay, Talicia
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Marine geophysics
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52061 , vital:43452
- Description: A method to map seafloor substrates using machine learning, based primarily on hydroacoustic data including multibeam bathymetry, backscatter, and side-scan sonar, has been developed. The aim was to produce a customdesigned benthic habitat classification method that digitally integrates marine geophysics and biological science data, with relevance to all elements of the local substrate, and this was the first time it was attempted in a South African context. The algorithm developed is able to produce bio-physical benthic habitat maps and this can be extended along the continental shelf of South Africa as new data setsare collected and the algorithm is supplemented. At the outset, this work has focused on broad categories of rock and detailed categories of sediment. Four study sites with varying substrate were selected to holistically build the algorithm that followed a tiered approach of machine learning: Table Bay, Clifton, Koeberg Harbour and Cape St Francis. Table Bay was used to develop a new method of physical seafloor classification, by comparing and contrasting a number of statistical algorithms and software programs. Clifton was used to test the developed clustering algorithm, and Koeberg which is 35 km to the north was used to validate the algorithm because sediment samples, along with drop camera footage, were integrated to better define the results. The resultant verified algorithm was tested at Cape St Francis, where Remotely Operated Vehicle (ROV) footage was acquired in addition to hydroacoustic data. In the first phase of the process towards developing an algorithm, a customised tool was created within ArcGIS using python scripting language to classify seafloor bathymetry, which can be applied to any area of seafloor whatsoever. The tool was based on pioneering work done by the National Oceanic and Atmospheric Administration (NOAA) on a benthic terrain modelling toolbox and adapted to include side-scan sonar data. In the second phase of work, multibeam bathymetry, backscatter and side-scan sonar data that were processed using Qimera, Fledermaus Geocoder Toolbox, and Navlog processing software, were classified using different machine learning techniques including Decision Trees, Random Forests, and k-means clustering computer algorithms. The results from these algorithms were compared to manually-digitised polygons which were created to classify the seafloor substrate distribution by identification of different textures. Integrating all results facilitated a quantitative comparison that illuminated advantages and disadvantages of each machine learning technique and ultimately the k-means clustering techniques were found to be the simplest to implement and understand and worked most efficiently based on their seafloor segmentation capabilities in Table Bay, against all three hydroacoustic data sets (multibeam bathymetry, backscatter and side-scan sonar). In the third phase of work, ground-truthed seafloor characterisation maps were produced for the two study areas of Clifton and Koeberg Harbour. This applied multibeam bathymetry and backscatter data that were collected and processed with machine learning clustering techniques. , Thesis (MSc) -- Faculty of Science, Ocean Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Pillay, Talicia
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Marine geophysics
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52061 , vital:43452
- Description: A method to map seafloor substrates using machine learning, based primarily on hydroacoustic data including multibeam bathymetry, backscatter, and side-scan sonar, has been developed. The aim was to produce a customdesigned benthic habitat classification method that digitally integrates marine geophysics and biological science data, with relevance to all elements of the local substrate, and this was the first time it was attempted in a South African context. The algorithm developed is able to produce bio-physical benthic habitat maps and this can be extended along the continental shelf of South Africa as new data setsare collected and the algorithm is supplemented. At the outset, this work has focused on broad categories of rock and detailed categories of sediment. Four study sites with varying substrate were selected to holistically build the algorithm that followed a tiered approach of machine learning: Table Bay, Clifton, Koeberg Harbour and Cape St Francis. Table Bay was used to develop a new method of physical seafloor classification, by comparing and contrasting a number of statistical algorithms and software programs. Clifton was used to test the developed clustering algorithm, and Koeberg which is 35 km to the north was used to validate the algorithm because sediment samples, along with drop camera footage, were integrated to better define the results. The resultant verified algorithm was tested at Cape St Francis, where Remotely Operated Vehicle (ROV) footage was acquired in addition to hydroacoustic data. In the first phase of the process towards developing an algorithm, a customised tool was created within ArcGIS using python scripting language to classify seafloor bathymetry, which can be applied to any area of seafloor whatsoever. The tool was based on pioneering work done by the National Oceanic and Atmospheric Administration (NOAA) on a benthic terrain modelling toolbox and adapted to include side-scan sonar data. In the second phase of work, multibeam bathymetry, backscatter and side-scan sonar data that were processed using Qimera, Fledermaus Geocoder Toolbox, and Navlog processing software, were classified using different machine learning techniques including Decision Trees, Random Forests, and k-means clustering computer algorithms. The results from these algorithms were compared to manually-digitised polygons which were created to classify the seafloor substrate distribution by identification of different textures. Integrating all results facilitated a quantitative comparison that illuminated advantages and disadvantages of each machine learning technique and ultimately the k-means clustering techniques were found to be the simplest to implement and understand and worked most efficiently based on their seafloor segmentation capabilities in Table Bay, against all three hydroacoustic data sets (multibeam bathymetry, backscatter and side-scan sonar). In the third phase of work, ground-truthed seafloor characterisation maps were produced for the two study areas of Clifton and Koeberg Harbour. This applied multibeam bathymetry and backscatter data that were collected and processed with machine learning clustering techniques. , Thesis (MSc) -- Faculty of Science, Ocean Sciences, 2021
- Full Text: false
- Date Issued: 2021-04
Challenges faced by state owned entities and economic development in South Africa
- Willie, Ntsikelelo Mike Mncedi
- Authors: Willie, Ntsikelelo Mike Mncedi
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52976 , vital:44907
- Description: Background: State Owned Enterprises (SOEs) play a vital role in government activities and the delivery of basic services to the people. The Government is active in the key sectors, such as, services, utilities, transportation and construction. Presumably, the distribution of basic resources and infrastructure development is to some extent dependent on SOEs. South Africa is inundated with challenges in SOE’s, such as, lack of service delivery, poor financial management, less growth, massive unemployment, corruption and low business confidence. These are a threat to economic and financial sustainability of a country. Twenty years into democracy, South Africa’s SOEs environment had many scandals in both private and public sectors. SOEs such as SABC, Eskom, and Transnet had their share of malpractice, fraud and corruption in management and at board level. These incidents call for interrogation at all levels as the impact undermines political, economic stability and growth prospects. One of today’s core challenges is to justify the existence of some of the SOEs in our economy. Looking at South Africa, most of the SOEs financial performances are severely deteriorating. Due to their financial constraints, they receive a bailout from government to enable them to continue to operate. Aim: This study identified specific governance challenges faced by SOEs and economic development in South Africa, over the period of 10 years (2014 - 2018). The study made recommendations to restore good governance in SOEs. Setting: This study reviewed articles and literature on the challenges faced by SOEs and economic development in South Africa. Primary sources for the document review took the form of newspapers, various official reports and ongoing records of SOEs activities, government departments, student transcripts, mission statements, annual reports, policy, manuals, student handbooks, and strategic plans, and press releases, theses from academic institutions, trade journals, business journals, government publications and business review publications. Secondary sources used were published books and journal articles. , Thesis (MA) -- Faculty of Business and Economic Sciences , School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Willie, Ntsikelelo Mike Mncedi
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52976 , vital:44907
- Description: Background: State Owned Enterprises (SOEs) play a vital role in government activities and the delivery of basic services to the people. The Government is active in the key sectors, such as, services, utilities, transportation and construction. Presumably, the distribution of basic resources and infrastructure development is to some extent dependent on SOEs. South Africa is inundated with challenges in SOE’s, such as, lack of service delivery, poor financial management, less growth, massive unemployment, corruption and low business confidence. These are a threat to economic and financial sustainability of a country. Twenty years into democracy, South Africa’s SOEs environment had many scandals in both private and public sectors. SOEs such as SABC, Eskom, and Transnet had their share of malpractice, fraud and corruption in management and at board level. These incidents call for interrogation at all levels as the impact undermines political, economic stability and growth prospects. One of today’s core challenges is to justify the existence of some of the SOEs in our economy. Looking at South Africa, most of the SOEs financial performances are severely deteriorating. Due to their financial constraints, they receive a bailout from government to enable them to continue to operate. Aim: This study identified specific governance challenges faced by SOEs and economic development in South Africa, over the period of 10 years (2014 - 2018). The study made recommendations to restore good governance in SOEs. Setting: This study reviewed articles and literature on the challenges faced by SOEs and economic development in South Africa. Primary sources for the document review took the form of newspapers, various official reports and ongoing records of SOEs activities, government departments, student transcripts, mission statements, annual reports, policy, manuals, student handbooks, and strategic plans, and press releases, theses from academic institutions, trade journals, business journals, government publications and business review publications. Secondary sources used were published books and journal articles. , Thesis (MA) -- Faculty of Business and Economic Sciences , School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
Cluster analysis for group selection in launch sales predictions
- Authors: Watchurst, Lee
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Cluster analysis
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52003 , vital:43447
- Description: One way for businesses to stay ahead in a competitive market is through the launch of new products and planning for these launches optimally. This includes ordering the correct quantity of stock in advance as well as maintaining these stock levels while the item launches. However, holding too much stock in warehouses can affect the business costs adversely. This research proposes the use of cluster analysis techniques to determine the up-front purchase quantity by identifying similar items and using their initial quantities sold. Products will be grouped based on their numerical and categorical attributes. Once the data is clustered, the Bass model will be used to obtain a sales profile for the new item. The Bass model is a popular choice for product life cycle planning due to the emphasis placed on the timing of adoption. The study will make use of data from a retail and wholesale company that sells, in part, single use items. With the planning for new launches being a key problem point in many companies, this research aims to optimise the planning process and ensure product launch success across stores. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Watchurst, Lee
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Cluster analysis
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52003 , vital:43447
- Description: One way for businesses to stay ahead in a competitive market is through the launch of new products and planning for these launches optimally. This includes ordering the correct quantity of stock in advance as well as maintaining these stock levels while the item launches. However, holding too much stock in warehouses can affect the business costs adversely. This research proposes the use of cluster analysis techniques to determine the up-front purchase quantity by identifying similar items and using their initial quantities sold. Products will be grouped based on their numerical and categorical attributes. Once the data is clustered, the Bass model will be used to obtain a sales profile for the new item. The Bass model is a popular choice for product life cycle planning due to the emphasis placed on the timing of adoption. The study will make use of data from a retail and wholesale company that sells, in part, single use items. With the planning for new launches being a key problem point in many companies, this research aims to optimise the planning process and ensure product launch success across stores. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Date Issued: 2021-04
Community development and sustainable livelihoods: the Jeffrey’s Bay wind farm bee-keeping initiative, South Africa
- Authors: Phillip, Busisiwe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53033 , vital:44886
- Description: The Renewable Energy Independent Power Producer Procurement (REIPPP) policy requirements set by the South Africa Government have shaped the responsibility of the socio-economic trajectory to include various stakeholders in the economy, such as the private sector companies that operate in and around areas affected by poverty and unemployment. The Eastern Cape is among the provinces of South Africa that are trapped in poverty (Edwards, 2003). The Eastern Cape Socio-Economic Consultative Council (2019) reported that in the first quarter of 2019 the Eastern Cape had the highest unemployment rate (34.7%) in the country and that the youth unemployment rate was at 50.8%; a record high. The Kouga Municipality, which is where the Rooidraai community is situated in Ward 13, has a population of 98 558 people of which 38 412 are economically active and of these, 21.5% are unemployed (StatsSA, 2019). In view of this, there seems to be a problem addressing poverty in the Eastern Cape, especially in rural communities. The aim of this study was to investigate if the Jeffrey’s Bay Wind Farm (JBWF) can create initiatives aimed at sustainable community development. In doing so, the research question will be answered, which entails investigating ways that the leaders of the Jeffrey’s Bay Wind Farm project can employ to improve the beekeeping initiative’s outcomes and perhaps launch future initiatives that are aimed at developing communities. The Rooidraai community was the study’s area of research. This area was chosen because the beekeeping initiative is mainly situated in this community and also because the majority of the beneficiaries are situated in this area. The dearth of research on issues pertaining to community development and sustainable livelihoods through beekeeping was a motivating factor to conduct the study. The problem statement highlighted that private sector companies are not particularly well versed with regard to community development approaches that deal with beneficiaries of projects that are imposed upon them that result in undesired outcomes that could have been avoided had proper processes been followed. The study used the theories of community development and sustainable livelihoods to assist in the research problem statement as these theories deal with issues of human development which have proposed approaches such as bottom-up development, self-reliance and giving voice to people at grassroots level. The study employed the qualitative approach due to its non-emergent nature and also the ability to predetermine methods of data collection and analysis through which semi-structured interviews, observations and field notes were employed as data collection tools and a thematic analysis and SLF analysis approaches were used as approaches for analysing the data. The study employed purposive sampling to which eight members of the beekeeping project made the sample size. , Thesis (MA) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Phillip, Busisiwe
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53033 , vital:44886
- Description: The Renewable Energy Independent Power Producer Procurement (REIPPP) policy requirements set by the South Africa Government have shaped the responsibility of the socio-economic trajectory to include various stakeholders in the economy, such as the private sector companies that operate in and around areas affected by poverty and unemployment. The Eastern Cape is among the provinces of South Africa that are trapped in poverty (Edwards, 2003). The Eastern Cape Socio-Economic Consultative Council (2019) reported that in the first quarter of 2019 the Eastern Cape had the highest unemployment rate (34.7%) in the country and that the youth unemployment rate was at 50.8%; a record high. The Kouga Municipality, which is where the Rooidraai community is situated in Ward 13, has a population of 98 558 people of which 38 412 are economically active and of these, 21.5% are unemployed (StatsSA, 2019). In view of this, there seems to be a problem addressing poverty in the Eastern Cape, especially in rural communities. The aim of this study was to investigate if the Jeffrey’s Bay Wind Farm (JBWF) can create initiatives aimed at sustainable community development. In doing so, the research question will be answered, which entails investigating ways that the leaders of the Jeffrey’s Bay Wind Farm project can employ to improve the beekeeping initiative’s outcomes and perhaps launch future initiatives that are aimed at developing communities. The Rooidraai community was the study’s area of research. This area was chosen because the beekeeping initiative is mainly situated in this community and also because the majority of the beneficiaries are situated in this area. The dearth of research on issues pertaining to community development and sustainable livelihoods through beekeeping was a motivating factor to conduct the study. The problem statement highlighted that private sector companies are not particularly well versed with regard to community development approaches that deal with beneficiaries of projects that are imposed upon them that result in undesired outcomes that could have been avoided had proper processes been followed. The study used the theories of community development and sustainable livelihoods to assist in the research problem statement as these theories deal with issues of human development which have proposed approaches such as bottom-up development, self-reliance and giving voice to people at grassroots level. The study employed the qualitative approach due to its non-emergent nature and also the ability to predetermine methods of data collection and analysis through which semi-structured interviews, observations and field notes were employed as data collection tools and a thematic analysis and SLF analysis approaches were used as approaches for analysing the data. The study employed purposive sampling to which eight members of the beekeeping project made the sample size. , Thesis (MA) -- Faculty of Business and Economic Sciences, School of Economics, Development and Tourism, 2021
- Full Text: false
- Date Issued: 2021-04
Customer experience in the South African retail banking industry
- Authors: Mtyu, Noluchumo
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53037 , vital:44874
- Description: This treatise explores customer experience in the South African banking industry and its importance for the success of retail banks. Customer experience leaves a memory that has critical effects on future spending of not only direct customers, but others around them. The main issues addressed by this study are how customer experience is a differentiator in the South African banking industry. The banking industry is a highly competitive industry and the importance of customer service in the banking industry is essential for business if they wish to stay relevant and have sustained continuity and growth. In today’s fast-evolving business life, customer experience has become the new battleground for businesses and banks can no longer rely on products or prices to be competitive. Retail banks now need to compete by providing exceptional customer experiences, which cannot be imitated by their competitors. Services provided by South African banks are very similar and banks need to use superior customer experiences to gain competitive advantage over rivals. Understanding customer experience in achieving customer satisfaction is essential to ensure that banks have satisfied customers who encourage others to join or stay with the bank. Once understood, customer experience will assist bank managers to provide inimitable and superior experiences, resulting in business success. The study aims to assist South African banks to improve customer experiences by investigating customer experience and factors that influence it. Definitions and theories are discussed as well as the importance of customer experience in the South African retail banking industry. This study specifically explored the role of the customer experience through factors brand experience, service experience and post-purchase experience. Each factor is statistically explored and its importance highlighted. An empirical study, using a questionnaire, was conducted amongst 858 respondents. The purpose of this was to determine the satisfaction levels of South African retail banking customers, by using data analyses and descriptive and inferential statistics to test the factors identified in the conceptual model. , Thesis (MA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Mtyu, Noluchumo
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53037 , vital:44874
- Description: This treatise explores customer experience in the South African banking industry and its importance for the success of retail banks. Customer experience leaves a memory that has critical effects on future spending of not only direct customers, but others around them. The main issues addressed by this study are how customer experience is a differentiator in the South African banking industry. The banking industry is a highly competitive industry and the importance of customer service in the banking industry is essential for business if they wish to stay relevant and have sustained continuity and growth. In today’s fast-evolving business life, customer experience has become the new battleground for businesses and banks can no longer rely on products or prices to be competitive. Retail banks now need to compete by providing exceptional customer experiences, which cannot be imitated by their competitors. Services provided by South African banks are very similar and banks need to use superior customer experiences to gain competitive advantage over rivals. Understanding customer experience in achieving customer satisfaction is essential to ensure that banks have satisfied customers who encourage others to join or stay with the bank. Once understood, customer experience will assist bank managers to provide inimitable and superior experiences, resulting in business success. The study aims to assist South African banks to improve customer experiences by investigating customer experience and factors that influence it. Definitions and theories are discussed as well as the importance of customer experience in the South African retail banking industry. This study specifically explored the role of the customer experience through factors brand experience, service experience and post-purchase experience. Each factor is statistically explored and its importance highlighted. An empirical study, using a questionnaire, was conducted amongst 858 respondents. The purpose of this was to determine the satisfaction levels of South African retail banking customers, by using data analyses and descriptive and inferential statistics to test the factors identified in the conceptual model. , Thesis (MA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
Customer experience: a comparative analysis between the banking and grocery retail sectors
- Authors: Pillay, Deneesha
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53007 , vital:44891
- Description: The notion of customer experience has gained prominence in the field of marketing over the last three decades. It has become a strategic imperative for firms in order to ensure sustained business growth. A positive customer experience not only has the ability to promote customer loyalty but can also assist firms in encouraging brand advocacy. While customer experience has been explored in several contexts, regions and industries, customer experience in South Africa’s banking and grocery retail sectors has not yet been adequately explored. Therefore, this study attempts to provide a comparative analysis of these two sectors and in turn present a model for improving customer experience as a marketing tool. The execution of this study requires a literature review to investigate the field of customer experience. This literature review assisted in developing a conceptual model for customer experience in the attempt of improving customer experience quality. Furthermore, this Treatise pursues a positivistic research approach using quantitative methods of analysis. Factor analysis was conducted using data gathered from an online questionnaire disseminated via e-mail. The sample of this study was selected at random using convenience and snowball sampling. A sample size of n = 858 is used in this study. Descriptive and inferential statistical analysis were conducted on the data. The primary contribution of this study was the presentation and statistical assessment of an exploratory factor analysis of factors influencing customer experience in South Africa’s grocery retail and banking sectors. This study found that the independent factors of Brand Experience, Service Experience and Post-purchase Experience were all found to have a positive effect on the overall customer experience. In the grocery-retail sector, Post-purchase Experience was found to have a strong positive correlation with customer experience. Brand Experience and Service Experience were strongly correlated with each other as independent factors, but did not demonstrate any practical or statistical significance in relation to the dependent factor, Customer Experience. However, in the banking sector, all of these factors demonstrate positive correlations with Customer Experience that are statistically and practically significant. The model presented in this study identifies the determinants of Customer Experience within both sectors. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
- Authors: Pillay, Deneesha
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/53007 , vital:44891
- Description: The notion of customer experience has gained prominence in the field of marketing over the last three decades. It has become a strategic imperative for firms in order to ensure sustained business growth. A positive customer experience not only has the ability to promote customer loyalty but can also assist firms in encouraging brand advocacy. While customer experience has been explored in several contexts, regions and industries, customer experience in South Africa’s banking and grocery retail sectors has not yet been adequately explored. Therefore, this study attempts to provide a comparative analysis of these two sectors and in turn present a model for improving customer experience as a marketing tool. The execution of this study requires a literature review to investigate the field of customer experience. This literature review assisted in developing a conceptual model for customer experience in the attempt of improving customer experience quality. Furthermore, this Treatise pursues a positivistic research approach using quantitative methods of analysis. Factor analysis was conducted using data gathered from an online questionnaire disseminated via e-mail. The sample of this study was selected at random using convenience and snowball sampling. A sample size of n = 858 is used in this study. Descriptive and inferential statistical analysis were conducted on the data. The primary contribution of this study was the presentation and statistical assessment of an exploratory factor analysis of factors influencing customer experience in South Africa’s grocery retail and banking sectors. This study found that the independent factors of Brand Experience, Service Experience and Post-purchase Experience were all found to have a positive effect on the overall customer experience. In the grocery-retail sector, Post-purchase Experience was found to have a strong positive correlation with customer experience. Brand Experience and Service Experience were strongly correlated with each other as independent factors, but did not demonstrate any practical or statistical significance in relation to the dependent factor, Customer Experience. However, in the banking sector, all of these factors demonstrate positive correlations with Customer Experience that are statistically and practically significant. The model presented in this study identifies the determinants of Customer Experience within both sectors. , Thesis (MBA) -- Faculty of Business and Economic Sciences, NMU Business School, 2021
- Full Text: false
- Date Issued: 2021-04
Deep neural networks for robot vision in evolutionary robotics
- Authors: Watt, Nathan
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Neural networks (Computer science)
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52100 , vital:43448
- Description: Advances in electronics manufacturing have made robots and their sensors cheaper and more accessible. Robots can have a variety of sensors, such as touch sensors, distance sensors and cameras. A robot’s controller is the software which interprets its sensors and determines how the robot will behave. The difficulty in programming robot controllers increases with complex robots and complicated tasks, forming a barrier to deploying robots for real-world applications. Robot controllers can be automatically created with Evolutionary Robotics (ER). ER makes use of an Evolutionary Algorithm (EA) to evolve controllers to complete a particular task. Instead of manually programming controllers, an EA can evolve controllers when provided with the robot’s task. ER has been used to evolve controllers for many different kinds of robots with a variety of sensors, however the use of robots with on-board camera sensors has been limited. The nature of EAs makes evolving a controller for a camera-equipped robot particularly difficult. There are two main challenges which complicate the evolution of vision-based controllers. First, every image from a camera contains a large amount of information, and a controller needs many parameters to receive that information, however it is difficult to evolve controllers with such a large number of parameters using EAs. Second, during the process of evolution, it is necessary to evaluate the fitness of many candidate controllers. This is typically done in simulation, however creating a simulator for a camera sensor is a tedious and timeconsuming task, as building a photo-realistic simulated environment requires handcrafted 3-dimensional models, textures and lighting. Two techniques have been used in previous experiments to overcome the challenges associated with evolving vision-based controllers. Either the controller was provided with extremely low-resolution images, or a task-specific algorithm was used to preprocess the images, only providing the necessary information to the controller. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false
- Authors: Watt, Nathan
- Date: 2021-04
- Subjects: Gqeberha (South Africa) , Eastern Cape (South Africa) , Neural networks (Computer science)
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/52100 , vital:43448
- Description: Advances in electronics manufacturing have made robots and their sensors cheaper and more accessible. Robots can have a variety of sensors, such as touch sensors, distance sensors and cameras. A robot’s controller is the software which interprets its sensors and determines how the robot will behave. The difficulty in programming robot controllers increases with complex robots and complicated tasks, forming a barrier to deploying robots for real-world applications. Robot controllers can be automatically created with Evolutionary Robotics (ER). ER makes use of an Evolutionary Algorithm (EA) to evolve controllers to complete a particular task. Instead of manually programming controllers, an EA can evolve controllers when provided with the robot’s task. ER has been used to evolve controllers for many different kinds of robots with a variety of sensors, however the use of robots with on-board camera sensors has been limited. The nature of EAs makes evolving a controller for a camera-equipped robot particularly difficult. There are two main challenges which complicate the evolution of vision-based controllers. First, every image from a camera contains a large amount of information, and a controller needs many parameters to receive that information, however it is difficult to evolve controllers with such a large number of parameters using EAs. Second, during the process of evolution, it is necessary to evaluate the fitness of many candidate controllers. This is typically done in simulation, however creating a simulator for a camera sensor is a tedious and timeconsuming task, as building a photo-realistic simulated environment requires handcrafted 3-dimensional models, textures and lighting. Two techniques have been used in previous experiments to overcome the challenges associated with evolving vision-based controllers. Either the controller was provided with extremely low-resolution images, or a task-specific algorithm was used to preprocess the images, only providing the necessary information to the controller. , Thesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2021
- Full Text: false