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Assessing the effects of fish stock management on Cape gannet foraging behaviour in South Africa
Get PDFSeabirds are one of the most threatened groups of birds under both marine and terrestrial pressures. Among seabirds, the Cape gannet Morus capensis is a southern African endemic species facing several pressures of anthropogenic origin, including competition with industrial fisheries on small pelagic fish stocks. Cape gannets, being a long-lived species that is sensitive to environmental changes, are sentinels of change in oceanic environments granting it important to understand which factors influence their foraging behaviour and breeding outputs. For example, factors like age can result in a loss of physical capabilities which can lead to behavioral compensation and subsequent changes in chick provisioning rates and amounts. With the current fisheries management the fish stocks are continually decreasing, indicating the importance of an updated fine-scale assessment on the spatiotemporal overlap between foraging gannets and fisheries. The first objective of this thesis was to determine the influence of adult Cape gannets’ age and sex on their foraging characteristics and energy expenditure during foraging. I equipped chick-rearing Cape gannets of known age and sex with a 3D accelerometer and GPS device. Foraging effort (trip duration, foraging path and maximum distance to the nest) did not differ between sexes nor with age in Cape gannets. Both sexes rested less on the water with age. Aging females also spent more time in flight than males. The age- and sexual differences in energy expenditure prevalent in our study might reflect niche and/or risk partitioning strategies to ensure adequate provisioning to the chick. The second objective of this thesis was to determine the influence of fisheries catch rates, sardine and anchovy biomass, and adult foraging effort on chick growth rates in Cape gannets, using a long-term dataset collected between 2005 and 2020 on Malgas Island. I equipped chick-rearing adults with a GPS device and I weighed the chicks for between 3 to 6 increments to calculate the average daily mass increment. Of all the variables, foraging trip duration was the main determinant of daily growth rates, with chicks benefitting from parents’ shorter foraging trip durations. Chicks tended to grow slower when fisheries catch of sardine and anchovy were higher, possibly an effect of competition with fisheries. Chicks also grew faster when fish biomass was higher. This long-term monitoring demonstrated the possible effect of food competition between Cape gannets and fisheries, with negative impacts on gannet fitness as determined via chick growth rates. The third objective of this thesis was to determine the influence of both the biomass and fisheries catch rates of sardine and anchovy on Cape gannet foraging effort at a spatial and temporal scale. This was achieved by equipping a total of 668 chick-rearing Cape gannets with a GPS device. With an increase in fisheries catch there was an increase in the birds’ foraging effort. To reduce competition between the gannets and fisheries, the gannets’ core foraging areas seldomly overlapped with the fisheries catch locations, at the cost of the gannets’ increased foraging effort. One method to halt the Cape gannet population decline would be to conserve the fish resources close to the breeding colonies. This would reduce the birds’ foraging whereby increasing their fitness. Safeguarding small pelagic fish to ensure the perseverance of the remaining Benguela seabird populations, would lead to preserving the Benguela marine ecosystem as a whole. My study provided new insight into effects of fish stock management on Cape gannet foraging behaviour in South Africa, and the need for adequate management to ensure population persistence.Thesis (PhD) -- Faculty of Science, School of Environmental Sciences, 202
Integrating state-space modelling and systematic conservation planning to recommend penguin-fishery management zones in Algoa Bay, South Africa
Get PDFDirect anthropogenic impacts on vulnerable marine ecosystems are growing and require effective conservation measures. Integrating the cost impacts of conservation interventions and optimising the spatiotemporal scale of management interventions may improve cohesion between opposing marine users. This study aimed to integrate spatial and temporal models to advise dynamic penguin-fishery management plans in Algoa Bay, off Gqeberha, South Africa, that would maximise penguin foraging success while minimising the impact on the fishing industry. Determining the foraging locations important to breeding penguins is fundamental when understanding the relationship between fisheries and prey availability. Using Global Positioning System (GPS) data gathered from feeding trips of breeding African penguins between 2012 and 2017, and a hidden Markov model, three behavioural states (foraging, commuting, transitioning) were inferred and used as conservation targets in spatial prioritisation using the prioritizr package in R. The cost to the fishery was estimated using the catch of pelagic fish by the fishing industry between 2012 and 2015 as the proxy. The energetic cost to penguins was the distance they travelled from their breeding colony. Nine prioritisation scenarios, varying in levels of conservation for penguins, spatial cohesion and costs to fisheries, were developed using all year’s combined data to explore an ‘optimal’ closure configuration. The optimal closure was determined as an area which met the targets for penguin conservation, with a low cost to the fishery, close to the breeding colony and spatially clumped. The best solution from each scenario was isolated and the solution for the conservation target of 20% foraging habitat, 10% commuting habitat and 10% transitioning habitat and a boundary penalty of 0.01 (a dimensionless value that is used to reduce spatial fragmentation – increasing the value of the parameter signals that it is important to minimise the total exposed boundary of the prioritisation by favouring solutions where units are clumped together) was chosen as the optimal closure. This configuration was used as a static closure and applied to individual fishing seasons to estimate how the cost of a static closure design to the fishery would vary between seasons. Subsequently, a dynamic closure was designed using the same optimal configuration criteria every year, and the cost to the fishing industry was compared seasonally with the cost of a static closure. The cost to fisheries of dynamic closures was consistently lower than that of a static closure and the area required to meet the penguin feeding targets was drastically reduced. While dynamic closure scenarios show promise to minimise costs to the industry while meeting penguin conservation targets, these configurations were designed retrospectively with data collected after the end of the fishery seasons. For efficient management, the closures need to be designed by using data collected at an appropriate temporal scale. For that, the critical missing dimension to this study is the addition of real-time data on pelagic fish positions, areas of fishing intensity and sites of penguin foraging to create appropriate recommendations for up-to-date fishery exclusion zones. Therefore, the priority now is to explore methods of collecting real-time data on pelagic fish abundance, feeding behaviour of penguins at sea, site and mass of pelagic fishery catch, and using these data to delineate real-time, dynamic closures, coupled with a governance and management strategy that can implement dynamic closures.Thesis (MSc) -- Faculty of Science, School of Environmental Sciences, 202
Chemical analysis and biological activities of crude extracts and essential oil of selected medicinal plants from the Eastern Cape, South Africa, and Volta Region of Ghana
Get PDFLantana camara and Khaya grandifoliola extracts are among many plants found traditionally effective for the treatment of wounds and ulcers. This study assessed the phytochemical content, isolation and identification of single compounds from methanol and ethyl acetate extracts of Lantana camara and Khaya grandifoliola. Further, the bioactivity testing including antioxidant, antimicrobial and cytoxicity of the extracts was done to confirm the wound healing potential discovered by the traditional healers. Materials and methods: Extraction was done successively using maceration method with 100 % ethyl acetate and 100 % methanol with a biomass-to-solvent ratio of 1:3 (w/v) to obtain L. camara ethyl acetate extracts of berry (ELB), flower (ELF) and leaf (ELL) and methanol extracts of MLB, MLF, MLL and K. grandifoliola ethyl acetate extracts of leaf (EKL), root (EKR) and stem bark (EKSB) and methanol extracts of MKL, MKR, MKSB respectively. L. camara leaf essential oil (EO) was extracted using the hydro-distillation method with a Clevenger apparatus. Total phytochemical content was assessed for each extract using spectrophotometric methods and a calibration curve of standards: bromocresol green method with atropine; Folin–Ciocalteu colorimetric method with gallic acid, aluminium chloride colorimetric method with quercetin and concentrated sulphuric acid chloroform with linalool for total alkaloid, phenolic, flavonoid and terpenoid contents respectively. Single compound isolation and purification was conducted using chromatographic techniques. Elucidation of single compounds was done using spectrometric method, high resolution- mass spectrometry, and one and two-dimensional (1D and 2D)-NMR. Stereochemistry of each compound was confirmed using electronic circular dichroism spectra. A Crystalline compound was identified by single crystal X-ray diffraction using CuKα-radiation. In vitro bioactivities were assessed with methods such as 3-[4,5-dimethylthiazole-2-yl]-2,5-diphenyltetrazolium bromide, free radical scavenging activity of 1,1-diphenyl-2-picrylhydrazyl, inhibitory effect on nitric oxide production in lipopolysaccharide-activated RAW 264.7 macrophages, and 96-well plate micro dilution for cytotoxicity, ant-inflammatory and antimicrobial activity testing. Results: Methanol extracts of both plants retained high phytochemical concentrations of all the phytoconstituents investigated compared with the ethyl acetate extracts which retained lower concentrations. The results of the L. camara methanol extracts include; total alkaloid content (TAC) (2.05±0.18, 1.87±1.54 and 2.60±1.10 mg AEQ/100 mg); total phenolic content (TPC) (14.05±4.04, 34.59±3.01 and 18.58±1.87 mg GAEQ/100 mg); the total flavonoid content(TFC) of flower (12.45±1.87, 20.41±2.69 and mg QEQ/100 mg); total terpenoids (TTC) (20.74±2.34, 20.74±2.34 and 15.97±1.19 mg LIN EQ/100mg) of MLB, MLF and MLL respectively. Whereas that of the K. grandifoliola methanol extracts include; TAC (7.32±0.14,8.49±0.34, 10.67±0.22 mg AEQ/100 mg); TPC (37.49±1.40, 44.41±0.69, 53.57±1.50 mgGAEQ/100 mg); TFC (6.54±0.55, 9.58±0.89 and 10.26±0.92 mg QEQ/100 mg); TTC(10.16±1.41, 35.78±2.14 and 23.45±1.76 mg LIN EQ/100mg) of MKL, MKR and MKSB respectively. The major components of essential oil, out of the 71 constituents identified include Davanone D (32.91 %), Caryophyllene (5.07 %), Nerolidol 2 (3.56 %) and GermacreneD (3.13 %). Compounds 3.47 was isolated from the methanol extract of L. camara flowers. This compound is reported for the first time from the L. camara flower extract. Two compounds, compounds 4.23, and 4.26, were isolated from the methanol extract of K. grandifoliola roots, compound 4.22 was isolated from the ethyl acetate root extract while compounds 4.24 and 4.25 were isolated from the ethyl acetate stem bark extract as isomers in a mixture. Compounds 4.22 and 4.23 are reported from K. grandifoliola root for the first time. The isolated compounds (compounds 3.47 and 4.23) were nontoxic to the Vero cell line and this may contribute to possible stimulation of cell proliferation, promoting wound healing. Cytotoxicity describes extract virulence to Vero cell line. MLF and ELB were found nontoxic even at the highest concentration of 200 μg/mL. The MKSB and MKR, as well as the EKSB were nontoxic. Antioxidant activity results, described by the percentage inhibition in the DPPH assay, showed that MLF and MKSB had the highest antioxidant activities compared with the ascorbic acid standard, with IC50 of 38.68±5.09 and 37.03±11.95 μg/mL for L. camara and K. grandifoliola respectively. ELB exhibited a significant anti-inflammatory activity inhibiting NO• radical generation in the LPS-stimulated RAW 264.7 macrophages at concentration ranging from 50 and 100 μg/mL. EKSB and MKR showed significant anti-inflammatory activity at 100 and 200 μg/ml respectively. ELL and ELF demonstrated potent growth inhibition against S. pyogenes with an MIC value ≤ 0.125 mg/mL, while the MICs of the ELB and MLL were 0.5 mg/mL and 2 mg/mL respectively. MKSB and MKR and EKSB extract exhibited an effective growth inhibition against S. aureus with MIC of 1 mg/mL. The growth of S. pyogenes was supressed by both ethyl acetate and methanol extracts of all plant parts tested with MIC ranging from 0.25–2 mg/mL. Conclusion: The potent bioactivity shown in the results of the cytotoxicity, antioxidant activity, anti-inflammatory and antimicrobial activity testing, and the nontoxic singlecompounds of L. camara and K. grandifoliola extracts led to the conclusion that the two plants had wound healing potential. The study therefore confirmed their traditional uses for treatment of wounds.Thesis (PhD) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 202
Parental influence on next-generation family members in South African black-owned family businesses
Get PDFThis study focuses on the parental influence on next-generation family members in South African Black-owned family businesses. In both developed and developing countries, the majority of businesses are family-owned and contribute significantly to their country's economic growth. To be sustainable, family businesses should anticipate, recognise and understand the impact parents have on their next-generation family members’ intentions to join the family business. Controlling a family business with the intent to transfer it to the next family generation is often seen as the defining characteristic of family businesses. Transferring the control of a family business to the next generation presents a critical managerial challenge. It has been noted that parents are the most important influence in a child’s life and could therefore have the greatest influence on their career choice. This study discusses parents' impact on their next-generation family members’ career choices in the context of career choice theories: Holland’s theory of vocational personalities in the work environment, Super’s developmental self-concept theory, and social cognitive career theory. Moreover, the important influence that parents have on their children and the impact of the parent is elaborated on; the characteristics of the parent's job, self-efficacy, outcome expectations, parent's relationship, parental expectations, parent's style, and cultural influence are discussed. In addition, career choice theories in the South African context are also briefly discussed. The lack of desire of next-generation family members to join the family business endangers its long-term sustainability. Although numerous factors influence a person's career choice, including the decision to join their family business, parents are by far the most influential. Therefore, the primary objective of this study was to identify the influence parents have on a next-generation family member’s intention to join the family business. A structured questionnaire was distributed to South African respondents with parents who own a family business. Respondents were identified by means of judgemental sampling. A total of 317 usable questionnaires were subjected to statistical analysis. The validity of the scales measuring the dependent and independent variables was assessed using factor analysis, and the scales’ reliability was confirmed by calculating Cronbach’s alpha coefficients. Both descriptive and inferential statistics were calculated. The family businesses iv associated with the respondents were mostly first-generation owned. The majority of respondents were Xhosa and Zulu speakers and represented family businesses that employed more than five employees. The next-generation family members who participated in this study were predominantly males under the age of 25 years, and most had no post-matric qualification. Multiple regression analysis was used to assess the hypothesised relationships. The results indicate that four parental influences (parental style, culture, self-efficacy and parental identification) significantly influence a next-generation family member’s intention to join the family business. It is important for parents to understand which factors influence their children's decision to join the family business, as this allows the parents to manage these factors best.Thesis (Ma) -- Faculty of Faculty of Business and Economic Sciences, 202
Current harmonic compensation of nonlinear loads in a three phase, four wire system
Get PDFNonlinear loads, in low voltage distribution networks, inject current harmonics which affect the quality of supply voltages. In this work, the power usage of a university student residential complex was logged over a four day period for analysis of harmonic currents injected by nonlinear loads. Student residents use nonlinear loads such as lighting, televisions, computer power supplies, and other household appliances. The harmonic analysis was performed on the quality of voltages in the university’s distribution network, the level of current distortion in the load current and the contribution of triplen harmonics to the neutral current. Standards such as the NRS048-2 (2007), IEEE-519 (2014) and IEC61000-3-2 (2009) are helpful in regulating harmonic levels in the distribution network, however, they cannot guarantee good quality supply. This work further investigates two methods of current harmonic cancellation, i.e. a shunt passive and an active current harmonic cancellation technique. A passive power filter was designed, built, and evaluated for a given nonlinear load to provide selective filtering of the dominant current harmonics. A four branch, shunt, passive filter was considered in this work for implementation in a three phase four wire distribution network due to its attractive possibility to be tuned to two different harmonic components with a minimum number of passive elements. While passive filters may be inexpensive, they suffer from several disadvantages, such as providing fixed compensation, performance that is source impedance dependent, has an inherent risk of system resonance and detuning due to ageing and component variation. To overcome the disadvantages of passive filters, a shunt connected active power filter was designed, built and evaluated to provide adjustable, wide bandwidth and dynamic correction to nonlinear loads for the compensation of harmonic currents, reactive power, and neutral currents. The controller used was an indirect FFT-based technique with a second order generalized integrator (SOGI) filter for voltage synchronization. It was digitally implemented in an FPGA programmed in VHDL to allow for fast parallel processing of input variables.Thesis (M.Eng) -- Faculty of Engineering, the Built Environment, and Technology, School of Engineering, 202
The design and synthesis of novel fluorescent coumarin-based derivatives as chemosensory for the application of toxic metal ion detection
Get PDFThe rise of humankind has caused pollution, increasing damage to the environment. The actions of humans over hundreds of years have led to an increase in the release of heavy metal cations in concentrations that are toxic to plants, animals and humans. These toxic metals can find their way into humans’ diets through water sources or bioaccumulation in plants and animals such as fish. Heavy metals such as lead and mercury are known to cause serious health issues when consumed, affecting the functioning of the circulatory and nervous systems and causing developmental disorders. Other metal cations, such as iron and copper, can be found in the human body. However, detrimental health issues can occur when normal concentrations are disturbed (either too high or too low). Iron, for example, can be toxic if in excess in the human body, causing damage to the liver and heart and can cause neuroinflammation and Alzheimer’s disease. Many methods have been employed to detect and measure the concentrations of toxic metal cations. However, these methods are performed in a laboratory and need skilled operators using expensive equipment. This results in long and tedious sample collection, long feedback time and costly analysis. Chemosensors have been researched and proposed as a cost-effective, on-site, real-time alternative for use as metal detectors. Chemosensory can selectively detect specific metal cations and can be sensitive up to the nanomolar range. Various chemosensors have been synthesised and screened for their colourimetric and fluorometric abilities. Colourimetric chemosensors can be used to visually detect cationic and anionic analytes, whereas fluorometric chemosensors are used to detect anions using their emission properties which handheld devices can measure.Thesis (PhD) -- Faculty of Science, School of Biomolecular and Chemical Sciences, 202
The influence of site characteristics on growth and wood properties of Pinus radiata and Pinus elliottii in the Southern and Eastern Cape forestry regions of South Africa
Get PDFThe intensive nature of plantation forestry in South Africa requires efficiency and financial viability in production systems, amidst a complex growing environment subjected to changing macro-climatic patterns. The success of plantation forestry operations depends, amongst others, on our understanding of tree growth and wood formation patterns in response to variable growing conditions in both space and time. This study was conducted on the two most commonly used species in the southern and Eastern Cape forestry regions, i.e., Pinus radiata and P. elliottii. The region is regarded as highly suitable for plantation forestry in terms of climatic conditions, but soil characteristics pose several challenges due to nutritional disorders and poor drainage. The study focused on investigating the influence of both soil and climatic conditions on the growth and Wood Density properties of the two species, and to establish functional relationships where possible. The two species showed comparable growth rates at the reference age of 13 years on the range of sites sampled in the study area. An analysis of variance showed greater differences in Site Index between than within sample plots, pointing towards the possible influence of site on growth variation. Correlations between climatic variables and the growth of both species were generally weak and contradictory. Possible reasons for this phenomenon are discussed. It is proposed that the general favourable climatic profile of the region and hydromorphic nature of soils reduce the chances of significant correlations between variables influencing moisture availability and tree growth. The analysis of correlations between soil parameters and tree growth revealed some influence of soil organic C and Na on the growth of P. elliottii. This is discussed in terms of our understanding of the influence of soil parent material and soil ecology. The absence of any correlations between soil chemical parameters and the growth of P. radiata was conspicuous. This is in contradiction with earlier studies on the species in the region and can possibly be explained in terms of the site-specific fertilizing policy of the industry, as well as the less diverse range of sites sampled than in the past, which can mask or reduce nutrient limitations for tree growth. However, P. radiata did show a high level of sensitivity towards effective soil depth. Site-quality prediction models are proposed for the two species, but with variable application value due to the limited options of significant control variables that can be considered for inclusion in the models.Thesis (MSc) -- Faculty of Science, School of Natural Resource Science and Management, 202
Investigating the role of UAVs and convolutional neural networks in the identification of invasive plant species in the Albany Thicket
Get PDFThe study aimed to determine whether plant species could be classified by using high resolution aerial imagery and a convolutional neural network (CNN). The full capabilities of a CNN were examined including testing whether the platform could be used for land cover and the evaluation of land change over time. A drone or unmanned aerial vehicle (UAV) was used to collect the aerial data of the study area, and 45 subplots were used for the image analysis. The CNN was coded and operated in RStudio, and digitised data from the input imagery were used as training and validation data by the programme to learn features. Four classifications were performed using various quantities of input data to access the performance of the neural network. In addition, tests were performed to understand whether the CNN could be used as a land cover and land change detection tool. Accuracy assessments were done on the results to test reliability and accuracy. The best-performing classification achieved an average user and producer accuracy of above 90%, while the overall accuracy was 93%, and the kappa coefficient score was 0.86. The CNN was also able to predict the land coverage area of Opuntia to be within 4% of the ground truthing data area. A change in land cover over time was detected by the programme after the manual clearing of the invasive plant had been undertaken. This research has determined that the use of a CNN in remote sensing is a very powerful tool for supervised image classifications and that it can be used for monitoring land cover by accurately estimating the spatial distribution of plant species and by monitoring the species' growth or decline over time. A CNN could also be used as a tool for landowners to prove that they are making efforts to clear invasive species from their land.Thesis (MSc) -- Faculty of Science, School of Environmental Sciences, 202
An evaluation of the legislative framework for public infrastructure investment to reduce unemployment in South Africa
Get PDFThis study evaluated South Africa’s legislative framework for public infrastructure investment to determine its effectiveness in reducing unemployment. The study is primarily driven by South Africa’s persistent challenge of unemployment with Statistics South Africa estimating the unemployment rate at 35.5 per cent or 7.9 million labourers. Persistently high levels of unemployment harm the socio-economy as unemployment increases poverty and contributes to inequality. For the government an increase in expenditure on social relief programmes, while offering some relief, decreases revenue collection. In order to mitigate this imbalance, the South African government identified public infrastructure investment as a stimulus for economic growth and create employment, such as in the Expanded Public Works Programme initiative. The legislative framework is an important aspect of study as policy is legitimised and implemented through the legislative framework. Previous studies have focused on the effect of fiscal policy on economic growth and employment creation. These studies have also used quantitative data analysis to explain the relationship between fiscal policy, economic growth, and unemployment. Other studies have focused on public policy planning and implementation, and some of the policies that have been implemented to address unemployment. This study focused on public infrastructure investments specifically rather than fiscal policy in general. The study also examined the legislative framework to determine whether it is effective in reducing unemployment through public infrastructure investment. The study made used qualitative data analysis as the researcher undertook a document analysis of publicly available documents which were sampled using a purposive sampling technique and analysed using the thematic analysis method. The findings of the study were that the legislative framework supported employment creation through public infrastructure investment through the establishment of a public institution to support the construction industry, the use of local content as inputs and labour-intensive technologies in the infrastructure delivery process. The legislative framework was not effective in supporting the policy, which is demonstrated by the perpetually high unemployment rate despite unemployment alleviating initiatives being implemented in the early and mid-2000sThesis (MSc) -- Faculty of business and economic sciences, 202
Consumer perceptions of human digital twins as a marketing tool
Get PDFA Digital Twin is a digital representation of a physical product or entity or a “set of virtual information constructs”. To effectively represent its physical counterpart, the digital representation needs to know about its properties, rules and behaviour. In order to enable this, there is a constant flow of data between physical objects and digital representations. The data contained in the digital representation allows simulations to be conducted and learnings from these simulations enable better decision making without affecting the physical realm. Human Digital Twins duplicate a person, rather than a physical product or artifact. As Human Digital Twins hold large amounts of data about a person and are able to utilise this data to predict a person’s possible behaviour and control a person’s choices Human Digital Twins hold economic value for organisations. Human Digital Twins can be effectively used in consumer choice modelling to determine a person’s preferences and assist organisations in marketing products and alternatives to customers. Location, purchasing behaviour and online activity can be used to predict potential future customer behaviour and choices. In previous studies proposing Human Digital Twins, limited emphasis has been placed on the opinion of the people who have been twinned. There are several ethical and moral implications in creating Human Digital Twins. The perceptions of the twinning process of people have not adequately been researched. Current technology allows Human Digital Twins to be created but challenges lie with the moral and ethical complications in a person’s Digital Twin acceptance. Various factors have been identified in previous research relating to Human Digital Twins. Knowledge, Perceived Usefulness, Perceived Ease of Use, Trust and Technological Proficiency are factors that have an influence on a person’s Human Digital Twin acceptance. These factors were considered as independent factors of the conceptual model while user acceptance was considered the dependent factor of the proposed model. The questionnaire for this study was completed by a sample of 121 respondents, who were reached through convenience and snowball sampling. The questionnaire was primarily distributed to students at the Nelson Mandela Business School in Gqeberha, South Africa. The demographic data indicates that a high number of respondents v reside in the Eastern Cape and the majority of respondents achieved a post graduate degree. This is not necessarily an accurate description of the South African population and the sample used in future studies should be more representative of the South African population. The results indicate that the independent factors Perceived Usefulness, Perceived Ease of Use and Technological Proficiency had significant positive effects on Human Digital Twin acceptance. Two of the original independent factors were split into two sub-factors as a result of the EFA. The independent factor Trust became Human Digital Twin Distrust and Trust in Companies using Human Digital Twins. The independent factor Knowledge became Knowledge about Human Digital Twins and Knowledge about the role of technology. This study based its conceptual model on the Technology Acceptance Model. The model relies on two major determinants, Perceived Usefulness and Perceived Ease of Use, to determine a user’s intention to use and accept a technology. This study added new determinants of acceptance to the original TAM, two of which was found reliable. Knowledge of Human Digital Twins and Technological Proficiency were both found to have a significant positive influence on the acceptance of Human Digital Twins. This study was one of the first to suggest a relationship between Technological Proficiency and the acceptance of a new technology. The managerial recommendations set out to bridge the gap between this study and practice. It is not uncommon for researchers to suggest corrective actions and make strategic recommendations based on the results of a study. This study provided managerial recommendations to marketers who want to employ Human Digital Twins in their strategies. This will allow marketers to test campaigns and improve on existing campaigns much quicker than before and take new products to market with testing marketing strategies at a much quicker pace. Organisations need to be cognisant of the fact that legal issues such privacy, consent, discrimination and copyright will be very important when creating Human Digital Twins. Marketers will not only be able to use information gathered by Human Digital Twins in the real world but in virtual worlds as well.Thesis (MA) -- FFaculty of business and economic sciences, 202