Theses and dissertations (Accounting and Informatics)

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Adoption of mobile cloud computing by small and medium-sized enterprises (SMEs) in rural areas
(2023-10) Cele, Noxolo Pretty; Govender, Mogiveny; Rajkoomar, Mogiveny
This study was conducted in the rural areas of KwaZulu-Natal (KZN) province of the Republic of South Africa. These rural areas includes uMbumbulu, Hlokozi, Eluphepheni, and KwaMakhutha. The main aim was to examine various factors that affect the adoption of Mobile Cloud Computing (MCC) by SMEs located in these areas. This study was motivated by benefits of MCC in various sectors around the world. This includes the provision of cloud-based services to users through the Internet and mobile devices. The current study is of the view that providing MCC to small and medium sized enterprises (SMEs) in rural areas can help them leverage cloud computing resources to improve their performance and delivery of services to customers. A quantitative research strategy was employed to obtain greater knowledge and understanding of the factors that affect the implementation of MCC by SMEs in the indicated rural areas, aiming to produce objective data that can be clearly communicated through statistics and numbers. The online survey was administered to owners, managers, employees and customers of these SMEs. The collected data was later analysed through Excel and the Statistical Package for the Social Sciences (SPSS) version 25. The results of this study reveal that, according to the customers’ point of view, SMEs in rural areas will be able to adopt MCC if there are adequate technological devices. The results suggest that relative advantage (RA), perceived security, perceived ease of use (PEU), and attitude are some of the factors that need to be considered for SMEs in rural areas to successfully adopt MCC. The findings also signal a strong correlation between perceived need, technological devices, compatibility, RA, complexity, trialability, and observability, when measured against MCC. In summary, the results indicate the importance of doing proper research before adopting cloud-based services in order to identify the need for MCC adoption. Significantly few respondents showed resistance or doubt regarding SMEs‘ adoption of MCC.
The alleviation of information poverty in a selected small-scale farming community in KwaZulu-Natal
(2023-04-12) Zondi, Nombuso Phamela; Moyane, Smangele Pretty; Nkomo, Ntando
Information is crucial to human development, yet crucial as it is, rural communities are experiencing information poverty. It is recognized that rural South Africans who survive on the main through farming are confronted by information poverty as a significant barrier to their development. Access to information has been identified as one of the most significant barriers confronting rural small-scale farmers. The problem of information poverty in rural small-scale farming communities is a critical issue that must be addressed if a country desires to develop. This study therefore examined the alleviation information poverty in a selected small-scale farming community in Kwazulu-Natal. The objectives of the study were to establish the information needs of the selected small-scale farmers, determine factors that influence information poverty for the selected small-scale farmers, ascertain whether the selected small-scale farmers are information poor in accordance with Chatman's (1996) information poverty theory and to determine the strategies employed and needed by the selected small-scale farmers to address information needs for the aim of alleviating information poverty.The study was guided by Elfreda Chatman's (1996) Theory of Information Poverty which views information poverty, as situations in which people are hesitant to disclose or seek for assistance for needed information because they feel isolated. An interpretive paradigm employing qualitative research in an exploratory research design was adopted. The population targeted was rural small-scale farmers of ward thirteen in Swayimane, KwaZulu-Natal. In the absence of a sampling frame, the study employed purposive and convenience sampling methods. Data yielded from three focus groups was analysed using thematic analysis. The study found that small-scale farmers’ information needs were chiefly crop soil requirements, market information, and guidance on livestock production and maintenance. Furthermore, adult education, ICTs, and library services were important needs for both young and older members of the community. The findings indicate that the information poverty faced by rural small-scale farmers is influenced by several factors. Among the factors were low family income brought by a lack of employment opportunities, rural small-scale farmers' isolation from essential services, a lack of government intervention, and small-scale farmers’ cultural beliefs deemed to be backward. The findings showed that rural small-scale farmers distrust information they receive from outsiders, which is consistent with Chatman's theory of Information Poverty that individuals who are information poor mistrust outsiders. The findings, however, contradict Chatman's claims that informationpoor people are averse to sharing their needs with outsiders. The study revealed that rural small-scale farmers rely heavily on agricultural advisors, seasoned farmers, radio, and word of mouth for information. With regards to the strategies needed by small-scale farmers to address information poverty, the study found that government intervention, easy access to the internet, and an increase in the number of agricultural advisors were crucial. The study recommends increasing the number of agricultural advisors to provide small-scale farmers with more immediate support; establishing a library facility to offer library services to fill information gaps; adding more agricultural programs on radio and television to cover a wide range of small- scale farmers informational needs; offering ABET programs to reduce illiteracy among rural small-scale farmers; development of commercial centers in rural farming communities to improve rural small-scale farmer access to markets; government intervention in educating rural small-scale farmers on modern agricultural practices and on methods of obtaining agricultural information.
The application of environmental management accounting practices on plastic pollution control in food and beverages manufacturing firms in Durban, South Africa
(2021-07-21) Nzama, Smangele; Olarewaju, Odunayo Magret; Arise, O. A.
Businesses are confronted with pressure from several stakeholders to become more sustainable. Plastic waste is a global environmental issue that requires immediate attention. In South Africa, waste management is poor, and the adoption of Environmental Management Accounting (EMA) is low. The deterioration of plastic waste in the environment takes time and negatively impacts the environment, the ocean and its inhabitants. The essence of carrying out this study is to observe how EMA practices can be applied to plastic pollution control in food and beverage manufacturing companies in Durban, South Africa. The quantitative approach was used in the research work and primary data was collected using questionnaires. A non-probability sampling called convenience sampling was used. Questionnaires were sent to 32 food and beverage manufacturing firms with four respondents in each. The respondents were financial managers, management accountants, factory accountants, and chief accountants. A total of 128 questionnaires were distributed and completed, only 124 questionnaires were correctly completed and analysed. Data obtained from the questionnaires were analysed using Statistical Package for Social Science (SPSS). Inferential statistics like correlation coefficient and linear regression analysis were utilized to respond to the research questions. An adverse relationship was discovered between environmental management accounting and corporate environmental strategy. It was discovered that an improvement in plastic pollution control was directly related to disclosure of environmental information. Also, an improved corporate environmental strategy will result in improved measures to control plastic pollution. Additionally, the study discovered that addressing barriers to environmental sustainability will improve the implementation of EMA. Further findings revealed that food and beverage manufacturing companies which are engaged in environmental activities tend to build a good company image and not to reduce plastic waste.
Approaches for improving participation of administrative staff in corporate entrepreneurship at Vaal University of Technology
(2023) Lebyane, Mashuto; Nyide, Celani J
The aim of the study was to examine the approaches for improving participation of administrative staff in Corporate Entrepreneurship (CE) at Vaal University of Technology (VUT). The study was guided by four specific objectives: to investigate the CE challenges facing VUT, to examine the role currently played by administrative employees in CE at VUT, to determine factors affecting the participation of administrative staff in CE at VUT, and to propose approaches that can be used at VUT to improve administrative staff’s participation in CE. The Corporate Entrepreneurship Assessment Instrument (CEAI) model was used to assess these constructs. A quantitative research approach was adopted and an online survey questionnaire was used to obtain data from respondents. The target population for this study was 110 administrative employees within VUT. In selecting the respondents, the census sampling method was used to select all 110 administrative employees. Survey questionnaires were emailed to all 110 respondents. A response rate of 54.5% was achieved and 60 usable questionnaires were received. The data was analysed using the Statistical Package for the Social Sciences (SPSS), version 28.0 for Windows. The key findings indicated that most administrative employees had no role in an entrepreneurial environment. It was discovered that the majority of administrative staff members were not participating in the process of CE, notably during the idea formulation or start stages. Furthermore, it appeared that there was no employee participation with relation to CE among administrative employees. According to the recommendations, management should concentrate on the factors that influence CE, such as management support, rewards, work discretion/autonomy, resources, organisational structure, and organisational culture. Future research recommendations were also made in the conclusion of this study. Because this was the university's first formal study, it can be used as a guide for other South African universities to examine their entrepreneurial intensity and corporate entrepreneurial climate.
Bio-inspired optimisation of a new cost model for minimising labour costs in computer networking infrastructure
(2024) Nketsiah, Richard Nana; Millham, Richard Charles; Agbehadji, Israel Edem
This thesis revolves around the bio-inspired optimisation of a newly formulated cost model tailored for initial installation of a user-specified computer networking infrastructure, motivated by requirements of networking industries, with a focal point on minimising labour costs. The new cost function of this infrastructure installation incorporates essential decision variables related to labour, encompassing the daily requirements and costs of both skilled and unskilled workers, their respective hourly rates, installation hours, and the overall project duration. This deliberate emphasis on labour-centric factors aim to offer nuanced insights into the intricacies of project budgeting and resource allocation. The research critically evaluates the effectiveness of the cost function by examining various factors, such as daily fixed costs, a size and complexity factor tailored to individual scenarios, and a penalty coefficient aimed at ensuring compliance with project schedules. Significantly, the deliberate exclusion of equipment, material, maintenance and operational costs underscores the focused examination of labour-related expenditures, providing a unique contribution to the optimisation landscape within the installation of the user-specified computer networking infrastructure projects. Utilising advanced bio-inspired optimisation techniques, alongside real-world data, this study endeavours to gauge the effectiveness of the new cost model in minimising labour expenses while upholding optimal network performance. The anticipated outcomes of this study extend beyond theoretical contexts to practical implications, providing actionable insights and recommendations for network infrastructure planners. The significance of labour-centric considerations in project planning and design is underscored, providing a more encompassing perspective that aligns with the evolving landscape of modern technological infrastructures. By giving attention to labour-intensive aspects within installation of computer networking infrastructure projects, the thesis aspires to enhance budgeting accuracy and streamline resource allocation processes, thereby fostering more efficient and cost-effective project outcomes.
Blockchain-Based digital records management for auditing process : a case study of Msunduzi Local Municipality
(2023) Zuma, Khulekani P.; Rajkoomar, Mogiveny; Naicker, Nalen
The Auditor General of South Africa frequently identifies poor records management as a major issue during auditing process, resulting in absence of supporting documentation and challenges in proving allegations of misconduct in Municipalities. To address this issue, the study explores the importance of a functional digital records management system and the feasibility of using blockchain technology to enhance records transparency, authenticity, security, and privacy in Msunduzi Local Municipality. It seeks to determine whether the municipality has a digital records management system, assess the potential benefits of blockchain technology, and investigate the likelihood of improved audit results through its implementation. This research employed the Records Continuum Model as a theoretical framework. Post-positivist paradigm and qualitative research approach were used in this study. The study collected data using semi-structured interviews with 15 participants from records management and auditing staff in the municipality, and data was analyzed using thematic analysis. Results from this study indicate that Msunduzi Local Municipality needs a functional digital records management system, which may positively impact audit processes. The use of blockchain technology is perceived as a viable solution to enhance records transparency, authenticity, security, and privacy. Participants in the study believe that implementing blockchain can significantly improve audit results and mitigate issues like maladministration and negative cash flows. Recommendations include the urgent establishment of a digital records management system and a feasibility study on integrating blockchain technology to strengthen records management and auditing practices in the municipality. These measures are seen as essential for promoting transparency and accountability in the public sector.
Community development through information communication technologies in Ward three of Durban metro
(2004) Majola, Pretty L.
This topic was initiated because of love of community development and information communication application by the researcher. It was further strengthened by taking part during the International Wowen University (Ifu) practice in 2000. The main theme of the study was Information Age. Ifu is well known as the virtual university, which is based in Germany at the University of Hamburg. The researcher, together with eight other women from different countries, designed and developed a model for community development by using ICTs. The model can be used as a basic guide for similar projects. The work, therefore in this thesis is based on personal experiences shared experiences, and research as well as by reading others experiences. This study provides ideas for potential community development by using Information Communication Technologies (ICTs) in rural areas with special reference to Ward Three of Durban Metro. The results of the study confirmed the saying “If you can’t beat them join them”. This study reported on research conducted in two different rural areas known as Bamshela and Ward Three. The results from the first area Bamshela, illustrated the way forward for Ward Three. Since the ICTs center exists in Bamshela the author received more information about the centre’s utilisation than its establishment. The focus on the second area emphasises the necessity, awareness and participation in community development. The three specifics focuses on whether there is a need for the ICTs centre for community development. Further more the study focused on areas where ICTs played prominent roles, such as in policy making, education, globalisation, ICTs, community development and participation of community members in community development projects.
The design of a faculty research data repository platform conducive to a University of Technology
(2023) Zibani, Patiswa; Marimuthu, Ferina; Rajkoomar, Mogiveny
As significant players in the production of scholarly work, academic researchers are increasingly gathering and producing data rapidly, exceeding the development of the knowledge and skills required for proper data storage and management. However, the focus has typically been on research publication outputs rather than the research data determining the academic's research output. This study conducted an audit survey on research data management in a University of Technology faculty context to gain insight into their research data management practices. The study was guided by the Data Audit Framework (DAF), the Community Capability Model Framework (CCMF), and the User-Centered Research Data Management Framework (UCRDMF). The study utilized an explanatory sequential mixed method research design incorporating quantitative and qualitative components. In the quantitative phase, an online survey was administered to postgraduate students pursuing Master's and Doctoral degrees between 2015 and 2020. On the other hand, the qualitative phase involved conducting a meta-analysis of research repositories across global Higher Education Institutions (HEIs) and conducting online interviews with postgraduate supervisors who play a crucial role in postgraduate study and research administration. The quantitative data were analyzed using the Statistical Package for the Social Sciences (SPSS), while the qualitative data were analyzed using NVivo software. The collected data were then analyzed respectively with theoretical frameworks and existing literature. The findings revealed that managing research data was primarily a personal matter. The main reason for the difficulties was that the faculty lacked a research data management investment. The use of emails, external hard drives, and personal laptops are additional examples that showcased that the faculty had not established centralized systems for managing research. However, participants did recognize the benefits of managing research data, such as scientific advances, enhanced data repurpose, and simplicity for data reusers. Findings also showed that the lack of platforms permitting data sharing and reuse was one of the main reasons that most researchers had not shared or reused other researchers' research data. Researchers, however, wanted to share their data without restrictions. The study's conclusions were also used to create and document a conceptual framework for the faculty research data repository platform. The proposed model aims to guide the conception of a repository that will secure the storage of faculty digital information that can be easily retrieved.
Determinants of participation of Msunduzi local municipality’s peri-urban households in the digital finance economy
(2024) Nyide, Nelisiwe Fortunate; Olarewaju, Odunayo Magret
Digital finance is an instrument that has the potential of improving access to finance to underprivileged groups such as peri-urban communities. Digital financial tools are capable of achieving traditional crisis management objectives with greater potency and accuracy than was historically possible. The financial services sector is in a process of accelerating change by adopting new business models based on convergent technological developments to increase customer participation in periurban areas. Therefore, the financial services sector can use digital finance to improve the availability of household financial services through diversified financial products, thus promoting the growth of household consumption. However, several studies maintain that determinants of digital finance participation of marginalised households, including peri-urban households, are generally underdetermined. Moreover, there is limited literature on the participation of South African households in the digital economy. Scholarly literature asserts that the level of participation of South Africans in digital finance is concerning. This is largely due to a lack of awareness and knowledge of digital financial services that are available to South African households. This study seeks to bridge that gap by examining the determinants of participation of peri-urban households in digital finance in the financial services sector in KwaZuluNatal, South Africa. A quantitative research approach was adopted to answer the research questions. This method was found to be suitable for this study given that the research objectives can be best measured using a structured survey that is quantitative in nature. The target population of this study consisted of peri-urban households located in the Greater Edendale area, which is the largest peri-urban area within the Msunduzi Local Municipality. The sample size for this study was 384 periurban households which were selected using purposive sampling, derived from nonprobability sampling. The questionnaires were in English and were also translated into isiZulu in order to make it easier for respondents to participate in this study. The Statistical Package for the Social Sciences (SPSS) was used to compile the descriptive statistics. The results of this study indicate that the general public in economically disadvantaged communities participates in digital financial transactions in the financial services sector on a regular basis. A Spearman correlation analysis found a substantial positive link between the usage of digital platforms by peri-urban families and their degree of participation in digital finance. This association was shown to be statistically significant (r = .649, n = 315, p < .001). However, the results of a Mann-Whitney U test showed that there was no statistically significant difference between genders with regard to involvement in digital finance (Z = -1.804, p = .071). A correlation analysis was undertaken to determine whether peri-urban households’ awareness of digital financial services influenced their adoption of digital platforms. The Spearman correlation analysis (r = .768, n = 315, p < .001) showed a strong and significant relationship between peri-urban households’ knowledge and awareness of digital financial services and their use of digital platforms. Additionally, a Spearman correlation analysis (r = -.524, n = 315, p < .001) revealed a significant negative association between peri-urban households’ adoption of digital financial platforms and their digital literacy. This is despite the fact that literature argues that in South Africa, the adoption of digital financial services is negatively affected by a lack of information and knowledge which is prevalent among marginalised communities.
Determining and developing appropriate methods for requirements verification and modelling of telecentre operational monitoring in a developing country
(2017) Pancham, Jeebodh; Millham, Richard C.
Telecentres are a means of allowing members of disadvantaged communities access to information and communication technologies (ICTs) so that they are included in the digital world. Thorough literature searches, along with communication with the Uni-versal Service Access Agency of South Africa (USAASA) indicated that there was no common operational monitoring model for Telecentres. The lack of such a model re-sulted in a lack of real time user and usage profile information to provide strategic business insights for managers. To obtain the requirements for this model, different stakeholders of South African Telecentres were consulted, and these consultations were supplemented by research studies based on international Telecentres. After a detailed evaluation of the different research methodologies, positivism and re-ductionism were selected as the most appropriate conceptual frameworks for the re-search. The research design included both quantitative and qualitative research meth-ods. Requirements engineering was used to provide a number of different methods for verification and modelling. The UML methodology was used to represent the TeleMun monitoring model. A specific UML diagram, the activity diagram, was used to validate the phase consistency of the TeleMun model using the semiformal tool of VeriScene. The choice of methods depended on several factors, for example, the problem domain, and the nature of the solution required, amongst others. Design science methodology was selected as an overarching methodology to encompass the full process from re-quirements to the final design and reporting phases. This methodology was used both in the design of the model and in the design of VeriScene. (The literature review had revealed that there was a gap concerning appropriate phase consistency tools to ensure consistency between the requirements and design phases. To address this gap, a tool ‘VeriScene’ was developed to provide this consistency). In order to analyse these re-quirements, a combination of different appropriate methods was selected, providing the design strength associated with triangulation. These requirements engineering methods were applied to derive the TeleMun model. Thus the monitoring model, TeleMun, was developed, verified and partially validated using several requirements engineering methods. The model is designed at a high level and therefore can be modified to suit other local and international Telecentre opera-tions.
Development of a mobile digital library model for teaching support in selected under-resourced public high schools in KwaZulu-Natal
(2024) Khomo, Musawenkosi Phumelela; Sucheran, Reshma; Rajkoomar, Mogiveny
This study aimed to identify the contributing factors to the successful development and use of a mobile digital library model, assess its feasibility for teaching purposes, determine the technological competences of teachers in utilizing mobile technology, and develop a suitable mobile digital library model for under-resourced schools. The objectives of the study were to identify the factors that would contribute to the successful development and the use of mobile digital library model for teaching and learning support at selected under-resourced public high schools in KwaZulu-Natal; to establish the feasibility of using a mobile digital library model for teaching in selected under-resourced public high schools in KwaZulu-Natal; to ascertain the technological competences of teachers to use mobile technology; and to develop a mobile digital library model suitable for teaching in under-resourced schools. The study employed an exploratory sequential mixed method design. The preferred research paradigm for this study was pragmatism and interpretivism. The study surveyed eleven selected under-resourced public high schools in KwaZulu-Natal, categorized as quintile one, quintile two, and quintile three. Ninety-three teachers and three teacher librarians contributed to the study. Clustersampling method was employed to select the participating schools. Data collection instruments included individual interviews with teacher librarians, focus group discussions with teachers, and self-administered questionnaires for teachers and librarians. The study consisted of two distinct phases i.e. qualitative data collection through focus group and individual interviews then quantitative data collection with the usage of questionnaire. A mixed methods approach for data analysis was used. Both individual interviews and focus group interviews were transcribed and later edited, with the audio recordings serving as the primary source of data. The themes were formulated by the researcher, and the findings were subsequently synthesized and organized within these thematic categories. For quantitative data, the researcher employed multivariate analysis, a statistical technique aimed at investigating relationships among multiple variables. The findings revealed several factors influencing the development and use of a mobile digital library, such as the need for digital literacy training for the school community, user-friendliness of the mobile digital library platform, and financial support from the organization. The feasibility of implementing a mobile digital library relied on factors such as financial support, robust internet connectivity, digital literacy among the school community, and improvements in technological infrastructure. Additionally, the study found that younger teachers demonstrated greater technological competence compared to more experienced teachers. A mobile digital library model was developed to support teaching, ensuring a conducive learning environment where teachers and learners have access to information anytime and anywhere. The study recommends regular training for teachers and learners on the utilisation of a mobile digital library, adequate funding for hosting and maintenance, and improvements in technological infrastructure.
Development of a web based smart city infrastructure for refuse disposal management
(2017) Oluwatimilehin, Adeyemo Joke; Olugbara, Oludayo O.; Adetiba, Emmanuel
The future of modern cities largely depends on how well they can tackle intrinsic problems that confront them by embracing the next era of digital revolution. A vital element of such revolution is the creation of smart cities and associated technology infrastructures. Smart city is an emerging phenomenon that involves the deployment of information communication technology wares into public or private infrastructure to provide intelligent data gathering and analysis. Key areas that have been considered for smart city initiatives include monitoring of weather, energy consumption, environmental conditions, water usage and host of others. To align with the smart city revolution in the area of environmental cleanliness, this study involves the development of a web based smart city infrastructure for refuse disposal management using the design science research approach. The Jalali smart city reference architecture provided a template to develop the proposed architecture in this study. The proposed architecture contains four layers, which are signal sensing and processing, network, intelligent user application and Internet of Things (IoT) web application layers. A proof of concept prototype was designed and implemented based on the proposed architecture. The signal sensing and processing layer was implemented to produce a smart refuse bin, which is a bin that contains the Arduino microcontroller board, Wi-Fi transceiver, proximity sensor, gas sensor, temperature sensor and other relevant electronic components. The network layer provides interconnectivity among the layers via the internet. The intelligent user application layer was realized with non browser client application, statistical feature extraction and pattern classifiers. Whereas the IoT web application layer was realised with ThingSpeak, which is an online web application for IoT based projects. The sensors in the smart refuse bin, generates multivariate dataset that corresponds to the status of refuse in the bin. Training and testing features were extracted from the dataset using first order statistical feature extraction method. Afterward, Multilayer Perceptron Artificial Neural Network (MLP-ANN) and support vector machine were trained and compared experimentally. The MLP-ANN gave the overall best accuracy of 98.0%, and the least mean square error of 0.0036. The ThingSpeak web application connects seamlessly at all times via the internet to receive data from the smart refuse bin. Refuse disposal management agents can therefore query ThingSpeak for refuse status data via the non browser client application. The client application, then uses the trained MLP-ANN to appositely classify such data in order to determine the status of the bin.
Evolving a framework to observe and analyse customer experience on the Twitter platform using machine learning techniques
(2024) Moodley, Thaneshni; Thakur, Surendra
Retailers have become more focused on retaining and turning existing customers into longterm clients because retailers have become more competitive, customers more demanding, and competitors more aggressive. The 2020 COVID-19 pandemic has forced a transformation for retailers. Within months, a revolution has taken place, constituting major changes to how consumers view cash, how they shop online and what they expect from retailers as part of a positive buying experience. Consumers increasingly expect retailers to create a seamless customer experience. This often means leaning on digital capabilities to create a seamless, omni-channel experience by linking different aspects of the customer shopping experience. The usage of big data analytics has primarily been implemented outside of South Africa to better understand customer connections and experiences, highlighting a noticeable research gap in South Africa. It has been proven to be an effective tool for retailers in predicting customer behaviour. There is a need to reduce the complexities in understanding which are the most appropriate machine learning techniques for sentiment analysis of online customer experience and to capitalise on development. Thereafter, online retailers are better equipped to tailor machine learning tools to craft analytical tools. Given the massive migration to online transactions, this work presents a rigorous analysis of social media posts, which is paramount for modern-era retailers. Businesses can use sentiment analysis to determine how well their brand is performing in the marketplace, learn more about the attitudes of their customers and determine whether their items receive more positive or negative feedback. A longitudinal study was adopted to analyse a dataset of retail-related tweets for the identification of customer complaints using a sentiment analysis hybrid approach, which is a combination of lexicon and machine learning approaches. A conceptual framework was developed to observe and analyse customer experiences on the Twitter platform using machine learning techniques. The framework encompasses components such as data preparation, natural language processing pre-processing techniques, calculating sentiment using sentiment lexicon and ML techniques, and thereafter a selection of the best-performing machine learning technique for sentiment analysis within the developed conceptual framework. The extracted dataset contains 240 000 tweets posted between 01 January 2017 and 31 January 2019, out of which 27 233 tweets were selected for the study. Natural language pre-processing techniques were applied to the dataset, including tokenisation, stemming, lemmatisation, part-of-speech tagging, and name-of-entity recognition. Supervised and deep machine learning gave the best results of 61.75 and 60.25. This study has identified deep learning as a good technique for sentiment analysis when NLP pre-processing methods are done in a certain order. A study on analysing retail complaints posted on the Twitter platform using a sentiment analytic framework has not been done in South Africa before. This study has proven that the sentiment analysis hybrid approach is highly capable of analysing social media data.
Exploration of budget, budgetary control and performance of public hospitals in KwaZulu-Natal, Durban
(2023) Fada, Sinesipho; Olarewaju, Odunayo Magret
Budgeting and budgetary controls are instruments of financial management that are critical for the accomplishment of objectives and goals of an organisation. Hospitals are amongst vital organisations in every country that citizens rely upon to attend to their different injuries, ailments and more especially in times of crisis such as during the recent corona virus pandemic. It is in this vein that this work set out to explore the budget, budgetary control, and performance of public hospitals in KwaZulu–Natal, Durban. Seven hospitals were the subject of the investigation. The research employed quantitative data collection. A sample of seventy employees from different hospitals participated in the study. Data analysis relied on NVIVO and Statistical Package for Social Sciences (SPSS). The investigation discovered that poor budget planning and a low-income generation base make it difficult for these hospitals to meet their obligations as health care institutions. It is suggested that subordinates are always planning.
Exploring quality administration management practices on customer retention and satisfaction : case study of small medium micro enterprises at eThekwini Metropolitan area
(2024) Mchunu, Nkosingiphile Trevor; Ngxongo, Nduduzo Andrias; Moyane, Smangele Pretty
Small Medium Micro Enterprises (SMMEs) play a significant role in many countries’ economic growth and development. However, customer retention and satisfaction remain critical challenges facing SMMEs. This study investigated the effectiveness of quality administration management practices in SMMEs located in the eThekwini Metropolitan Area. The objectives of the study were to examine how quality administration management practices impact customer retention and satisfaction in SMMEs located in the eThekwini Metropolitan area, to comprehend the influence of training and development of employees on quality management practices and customer retention and satisfaction in small and medium-sized enterprises (SMMEs), to recognise how internal and external factors impact quality management practices in SMMEs in the eThekwini Metropolitan area and, to determine the factors that contribute to and hinder customer retention and satisfaction in SMMEs in the eThekwini Metropolitan area and propose integrated, effective quality administration management practices to address these factors. The Quality Administration Management Theory (QAMT) was adopted as a theoretical framework in this study to assert the effective role of administration and management in achieving successful business quality management practices in SMMEs. QAMT’s focus was relevant to small and medium-sized enterprises (SMEs), which often face resource constraints and struggle to implement quality management practices effectively. Due to time constraints, the geographical scope of the study was limited to the eThekwini Metropolitan Area. Potential limitations included the possibility of response bias and a relatively small sample size. The research adopted a quantitative research approach and employed a survey questionnaire to collect data from customers of selected SMMEs. Data was analysed using descriptive statistics and inferential statistics, including t-tests, ANOVA, factor analysis, and regression analysis, through the Statistical Package for the Social Sciences (SPSS) software. The findings of the study indicated that hat continuous improvement with the quality administration management practice significantly influences the customer satisfaction and in return, it positively relates to customer retention. Secondly, the results revealed that the education levels significantly had increasing impact on customer retention perceptions. The study thereafter recommended for SMMEs in the eThekwini Metropolitan area to continue striving for improvement in quality management practices achievable by implementing strategies that cater for customers with different levels of education. Policy frameworks also need to be initiated to develop and promote customer customer retention.
Factors influencing innovative leadership in mobilising small and medium enterprises (SMEs) towards smart manufacturing in Pietermaritzburg
(2023) Maphumulo, Sydney Dumisani; Nyide, Celani John
Small and medium-sized businesses (SMEs) are regarded as effective drivers of inclusive economic growth and expansion in South Africa and globally. After noting the significance of SMEs and their contribution to the economy, it is helpful to observe how their growth and sustainability is being maintained through the adoption and utilisation of smart manufacturing techniques and innovative leadership. Consequently, this study highlighted the significance of SME adoption of innovative leadership in smart manufacturing. The main aim was to critically examine factors influencing innovative leadership in mobilising SMEs towards smart manufacturing in Pietermaritzburg, KwaZulu-Natal (KZN), South Africa. A quantitative research approach was adopted with census sampling; 102 manufacturing SMEs registered in the Msunduzi Municipality database participated. The data was analysed using the latest version of SPSS V 29.0.1. The findings of this research indicate that the use of robotic technology among manufacturing SMEs is very limited. Moreover, the adoption of internet of things (IoT) and artificial intelligence technologies is still very low. Therefore, the general finding is that the utilisation of smart manufacturing processes by SMEs in the manufacturing sector in Pietermaritzburg is still in its infancy. This study also found that there is substantial evidence supporting the presence of innovative leadership practices in SMEs operating in the manufacturing sector. This provides an opportunity for these companies to advance the smart manufacturing agenda through effective leadership. The study found a number of factors that had an impact on the use of smart manufacturing processes and innovative leadership.
A framework for supporting technological innovation by manufacturing small and medium enterprises in KZN
(2024) Bingwa, Luyanda Loraine; Ngibe, Musawenkosi
Unemployment is an ongoing phenomenon in every country. It is rapidly increasing, which leads to a decline in the economy and other societal problems. This is particularly evident in developing countries such as South Africa, where the unemployment rate is 32.9%. The South African government has identified small and medium-sized enterprises (SMEs) as a key aspect of its strategy to reduce unemployment rates and to realise the vision outlined in the National Development Plan 2030. SMEs are major job creators and contribute significantly to the gross domestic product (GDP) of South Africa. They account for the majority of employment opportunities in the country, especially in sectors such as agriculture, manufacturing, and services. SMEs also support economic growth through their capacity for innovation and swift market adaptation. They are ideal for generating innovative ideas due to their pioneering role in adopting new technologies and are particularly adept at identifying gaps in the market which could be addressed through innovative solutions. There are ongoing debates about the uptake of technology by SMEs in African countries, including South Africa. Some scholars argue that manufacturing SMEs in South Africa have been hesitant to adopt modern technologies, which has hindered their growth and their ability to reach full potential. However, there are counterarguments that provide a more nuanced perspective on the challenges and opportunities for technology adoption among manufacturing SMEs in KwaZulu-Natal (KZN), South Africa. One significant issue is SME owners' inability to fully grasp the complexity of information and communications technology (ICT), which has a negative impact on their decision to adopt ICT. Furthermore, government regulations and compliance requirements have been a crucial factor affecting the viability and growth of manufacturing SMEs. Without a comprehensive understanding of ICT, SMEs find it challenging to make informed decisions about their investments in this field. Critically evaluating the use of Fourth Industrial Revolution (4IR) technologies as a way of improving success rates amongst manufacturing SMEs in KZN will enable the development of a framework which can provide practical guidance for the adoption of 4IR technologies by manufacturing SMEs in KZN. The objectives of this study are supported by a pragmatic methodology, which considerably expands the area of the investigation. 384 manufacturing SMEs in KZN are the target population for this study, and approaches for identification and selection of the sample size include convenience and purposive sampling. The study utilises both primary and secondary research. Interviews and questionnaires are utilised as data collection instruments. The review of literature and relevant theories such as the technology acceptance model (TAM), the technology-organisation-environment (TOE) framework, dynamic capability theory (DCT), the theory of planned behaviour (TPB), task-technology fit, process virtualisation, and the unified theory of acceptance and use of technology (UTAUT) assist in identifying and addressing potential barriers that may arise during the technology adoption process, such as cost, skills, resistance to change, and compatibility with existing systems. The primary results of this study demonstrate that digital competencies and thorough ICT knowledge are lacking in manufacturing SMEs in KZN. In addition, ICT adoption and usage in manufacturing SMEs in KZN is significantly low, which diminishes the potential of ICT as a long-term strategy. This is evident in the investigation of several factors relating to the acceptance and use of ICT by manufacturing SMEs as a longterm tool for business success. The findings of this study also suggest that manufacturing SMEs do not have the capacity to identify and implement appropriate and adequate ICTs as a sustainable strategy to improve their business viability. Based on the key findings, the study recommends that manufacturing SMEs prioritise digital literacy, which will enhance their comprehension of the potential benefits of ICT adoption. Consultation with IT professionals is recommended as a valuable means for SME owners to obtain reliable guidance and to discuss the complexities of ICT. The government should consider creating platforms to enable SMEs to express objections to regulations, contribute to amendments, and provide insight into the impact of legislation on their business.
A framework to lower maternal mortality and morbidity rates in Kenya using mobile technology
(2019-11-15) Mukami, Victoria; Millham, Richard; Puckree, Threethambaal
Background. Maternal health represents an area of significant concern in the world. With various innovations in healthcare, maternal mortality rates are decreasing exponentially. However, this is not the situation in developing countries, specifically Kenya. Several causes of maternal mortality exist; however, it is noted that one of the key causes is due to a lack of information by pregnant women. Traditional strategies such as free maternal health care at public hospitals have been in place to improve overall pregnancy outcomes. While this is aimed at a reduction in maternal mortalities, it has not been as effective in Kenya. Non-conventional strategies are needed to improve maternal health outcomes and reduce maternal mortality. Information Communication Technology (ICT) is one of the areas that has been proven successful in reducing maternal mortality. Aim. The aim of the research was to create an ICT framework that aided in educating pregnant women using an mHealth dissemination tool and thus reduce complications that led to mortalities within Kajiado North Constituency. Methods. The study utilized a sequential mixed-method design. Phase one consisted of a retrospective chart review and a cross-sectional survey on nurses and pregnant women. The first phase focused on understanding the maternal mortality rates within Kajiado North and to determine procedures pregnant women and nurses took during pregnancy. The retrospective chart review was conducted for a period of six months at two health facilities, the Ongata Health Centre (OHC) and Ngong Sub District hospital (NSD). The cross-sectional survey interrogated the mitigation strategies with a focus on information and communication technologies (ICT). Phase two was a prospective multi-location randomized clinical trial (RCT). A two-arm, two-site RCT was conducted using an intervention in the form of an ICT prototype with messages aimed at educating the pregnant participants. The trial was conducted at two public health facilities namely the Ongata Health Center and the Ngong Sub District. A total of 211 pregnant women were recruited from both locations after they had met the inclusion and exclusion criteria and after providing consent to participate in the study. During the RCT, an intervention was developed using the Design Science Research Methodology (DSRM) and was used to send messages to participants within the intervention arm. The DSRM approach allowed for two iterations to be created, with one iteration being tested during the pilot test and the other during the RCT. Pregnant participants within the intervention groups received messages on their mobile phones about well-being during pregnancy. Women in the control group continued to receive their established standard of care. Both groups completed a post-test survey at the end of the trial. Data were analysed using ANOVA with the probability set at p≤0.05%. The relationship between the number of antenatal visits and the place of delivery on the complication rate was shown using the correlation coefficient. Additionally, a multiple regression model was generated based on the antenatal visits, place of delivery and the study arms and their impact on the complications. Results. Data from phase one of the study showed a need for a messaging system to send messages to pregnant women. The retrospective data showed no maternal mortalities, however, the nurse survey highlighted possible explanations for the lack of mortalities. From the RCT, there were no known maternal mortalities. There were three neonatal mortalities (p=0.154), one from the OHC intervention group and two from the OHC control group. The ANC visits relationship towards the complication rate was calculated. At the NSD site, the effect size of the ANC visits based on the participants' study arm toward the complication rate was low (0.027) and statistically insignificant (p=0.15). At the OHC site, the effect size was moderate (0.405) and statistically significant (p=0.003) for the ANC visits variable. The place of delivery relationship towards the complication rate was calculated. At the NSD site, the effect size of the place of delivery based on the participants' study arm toward the complication rate was moderate (0.366) but statistically insignificant (p=0.479). At the OHC site, the effect size of the variables was low (0.237) and statistically insignificant (p=0.789). The stepwise regression model at the OHC site showed significance when ANC visits (p=0.007), place of delivery (p=0.003) and participants study arm (p=0.008) were sequentially entered. The multiple variables (R=0.516) Only had a medium effect size (0.266) toward the complication rate. The stepwise regression model at the NSD site was statistically insignificant when the place of delivery (p=0.283), participants study arm (p=0.445) and ANC visits (p=0.655) were sequentially entered. The multiple variables (R=0.217) had a small effect size (0.047) toward the complication rate. Conclusion: Qualitative findings revealed that maternal health was affected adversely by several lengthy health worker strikes. Negligence on part of the health worker was a lead contributor to neonatal deaths. The study also found that accountability systems for referrals were lacking within the county and measures needed to be put in place to mitigate the consequences. In addition, feedback from the study participants indicated that the messages had aided in helping them to take necessary action based on complications and warning symptoms. Based on the data, the study finally proposed a framework that would allow for a reduction of maternal and neonatal mortality rates using ICT technologies. The study equally contributed to knowledge when using technology to empower women on maternal health matters as well as areas of maternal health practice that need improvement
The impact of debt-financing costs on the growth and development of Small-Medium Enterprises in South Africa : empirical evidence from Durban
(2024) Majola, Khethiwe Prudence; Olarewaju, Odunayo Magret; Ngiba, Brian Thulane
Since small-medium enterprises are considered the backbone of every country’s economy, it is important that they have a source of finance for their growth and development. As a result, the objectives of this study were to examine the factors that impact access to debt financing; determine the effect of market imperfections on the decision of small-medium enterprises (SMEs) to apply for debt financing; evaluate the impact of debt financing as a source of finance on the growth and development of small-medium enterprises (SMEs); and lastly, examine the influence of the economic environment on small- medium enterprises (SMEs)’ growth in South Africa: Empirical evidence from Durban. A qualitative research method and a purposive sampling technique were utilized to select the participants for this study. The researcher used the formula proposed by Yamane to calculate the sample size at a 90% confidence level, where P = 10. The sample size was calculated to be 88. For the purposes of this study, a target sample size of 200 was used. The study collected primary data through a survey questionnaire from respondents who are owners and managers in the agricultural, retail, manufacturing and construction sectors in Durban, South Africa. Three hundred (300) questionnaires were administered, and the data was analyzed using the Statistical Package for the Social Sciences (SPSS). A regression analysis and Pearson’s correlation analysis were conducted to address and achieve the objectives of the study. Some of the most notable findings were small-medium enterprises (SMEs) are shutting down even though they had been funded because of weak financial management skills in utilizing funds effectively and efficiently, using funds on unrealistic market criteria, and ending up over-indebted and unable to pay back the borrowed amount with interest. Small-medium enterprises (SMEs) are finding it difficult to obtain debt financing for their growth and development due to their limited knowledge on how to go about applying for debt financing and what requirements they must meet to obtain funding.
The impact of environmental reporting on the value of listed manufacturing firms in South Africa
(2023-03-07) Mgilane, Nolwando L.; Maama, Haruna; Marimuthu, Ferina
Environmental reporting is a recent novelty in both corporate and academic fields around the globe. As a result, an increase in environmental pollution and degradation has raised many concerns from the stakeholders. Equally, the firms addressed these concerns through a proper disclosure in a form of annual integrated reporting which addressed how firm’s day-to-day operations and production activities affect the environment, especially the environment of the location where firms operate, this reporting included the measurements implemented to mitigate the impact. On the 1st of March 2010, the JSE has passed a listing requirement which compelled all the listed firms and companies to also report on non-compliance and compliance of environmental and social aspects. This JSE listing requirement was prompted by the assumption that the annual financial statements, also referred to as traditional reporting, only served the interest of investors with financial interest. However, the question of whether the disclosure of environmental reporting impacts firm value remains unanswered. Therefore, this study aims to investigate the impact of environmental reporting on the value of South African manufacturing firms listed on the Johannesburg Stock Exchange (JSE). A content analysis was utilized to attain the environmental reporting information from the integrated annual reports of listed manufacturing firms from 2016 to 2020. These reports were retrieved from the companies' websites. Both descriptive and Wilcoxon-signed ranked test was used to test the extent and the movement of environmental reporting practices of South African listed manufacturing. Furthermore, this study adopts regression techniques to test the association between environmental reporting and firms’ profitability. The findings of this study further indicated that the environmental reporting practices implemented by manufacturing firms increased gradually over time. The evidence further showed a significant negative relationship between environmental reporting and return on equity (ROE) and a positive but insignificant relationship with ROA. Lastly, this study documents that environmental reporting negatively affects firm value. The study further demonstrated that environmental reporting is mainly adopted to conform with JSE listing requirements and not for accountability purposes. As a result, it is recommended that South African listed manufacturing firms must develop a technique that will assist in knowing and understanding the desires of primary and prominent stakeholders to disclose relevant environmental reporting information to the relevant stakeholders, as this can increase the trust between stakeholders and manufacturing firms.

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