Theses and Dissertations
Permanent URI for this collection
Browse
Browsing Theses and Dissertations by Author "Munyoka, W."
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item A business intelligence systems adoption framework for the small, medium, and micro-enterprises grocery retail sector : A case of Tshwane Metropolitan Municipality(2021-06-23) Muleya, Ashlyn Ennie Stubbs; Munyoka, W.; Kadyamatimba, A.Business Intelligence Systems (BIS) is regarded as a leveraging suite of tools and technologies to enhance the decision-making process of an organization by transforming data into valuable and actionable knowledge to gain a competitive advantage. While some small to medium enterprises (SMMEs) have adopted BIS technologies and are deriving benefits from them, others are confronted with a host of challenges when trying to adopt BIS. This study examined factors that are hampering the smooth adoption of BIS by SMMEs in the grocery retail sector in South Africa, focusing on the Tshwane Metropolitan Municipality, and proposed a suitable framework to guide such adoption. Three technology adoption models which underpinned this study are the technology acceptance model, task-technology fit model, and diffusion on innovation model. These models were integrated to develop a conceptual framework for the study. A survey research design was considered suitable for this study because it is the best method for generalizing the findings to the entire population. The study adopted a quantitative research approach, which is an approach for testing objective theories by examining the relationship among variables. In total, 300 close-ended questionnaires were distributed to SMMEs owners/managers around Pretoria. The data collected were analysed using the IBM SPSS version 27 software package. Multiple regression analysis was used to test the seven proposed hypotheses and to determine the statistical significance of each hypothesis. The final tested framework demonstrated that observability, trialability, perceived BIS ease of use, and perceived BIS usefulness were all positively correlated to BIS adoption. Furthermore, the framework also showed that BIS characteristics and task characteristics positively influence task technology fit. Recommendations are made for SMMEs to overcome barriers in adopting BIS, these are: there is a need for SMMEs management to invest in IT projects by allocating enough budget for technology purchase and implementation, sponsored IT support programs could enable SMMEs to increase their knowledge regarding the latest technologies they could adopt for their business, SME managers should be able to build a culture that is complimentary with technology and innovation and SMME managers should engage in strategic collaboration with other major business players to enhance learning experiences about BIS technologies.Item A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa(2023-05-19) Mathivha, Dakalo Tshifhiwa; Ochara, N. M.; Munyoka, W.The healthcare domain has constantly been swamped with a vast amount of complex data coming in swiftly. Big Data could be a term for tremendous data sets with expansive, more shifted, complex structures with troubles putting away, analyzing, and visualizing distinctive processes or results. Big Data Analytics may be a modern era of innovations and models planned to financially extract value from large volumes of a wide variety of data by empowering high-velocity capture, discovery, and analysis. An immeasurable sum of data is created in several healthcare industry divisions, such as data from clinics, hospitals, healthcare suppliers, medical insurance, medical equipment, life sciences, and medical research. With the progression in innovation technology, there is endless potential for utilizing this data to transform healthcare. The study aims to analyze how Big Data Analytics can be used for Data Management in Healthcare Organizations in South Africa to improve service delivery. The study reviewed the concept of BDA in healthcare, sources of Big Health Data, potential benefits and challenges, BDA capabilities, BDA technologies and techniques within healthcare, and Dynamic Capabilities Theory. The Dynamic Capabilities Theory was used as a theoretical lens to study Big Data Analytics in Healthcare. This research used primary data. A positivist research paradigm was used in this study. To achieve the aim of the study, 170 questionnaires were distributed for data collection, but only 102 responded. SPSS 25 was used to analyze data. The study found that the healthcare sector can spot, interpret, and pursue environmental opportunities. It can oversee and ideally synchronize resources, partners, deliverables, and tasks concerning tasks or necessities. It moreover can gather, understand, and exploit knowledge to make progressed decisions. Furthermore, it has processes that permit more effective problem-solving by combining different organizational resources. The findings further revealed that the healthcare sector could make strategic decisions and rapidly enact or execute against these by repositioning resources better to adjust the organization to the external or market environment.Item The Effect of Cyber Security on Citizens Adoption of e-Commerce Services: The Case of Vhembe District in Limpopo Province of South Africa(2019-05-18) Netshirando, Vusani; Kadyamatimba, A.; Munyoka, W.Today, information and communication technologies (ICT) have become an integral part of humans lives more especially in business, be it those in developed or developing countries. The evolution of ICT’s has also led to the introduction of e-Commerce services. Both the public and private sectors, develop these technologies with customer satisfaction in mind. Out of all the efforts by businesses and ICT experts, e-commerce systems continue to fail because of low user acceptance and user attitude, especially in developing nations. Security issues are known to be of top most concern for online shoppers. A survey was administered to 161 respondents, to find out how cyber security affects consumer’s intentions and actual use of e-commerce systems. The study encompasses both users of e-commerce systems and non-users of e-commerce systems across Vhembe district of Limpopo Province in South Africa. A quantitative research approach was used. The findings revealed that perceived security was the main concern for non-users of e-commerce intentions to use e-commerce systems because of lack of information and lack of trust on e-commerce systems. The study also revealed that users of e-commerce systems are still concerned about security, even though they intend to continue using e-commerce systems. For the success of e-commerce in rural communities, government needs to join hands with retailers and SME’s to start awareness campaigns that will clarify how e-commerce systems work and eradicate negative perception on e-commerce systems.Item Impact of digital technologies on small and medium enterprises in emerging towns: A case study of Vhembe District Municipality(2020-02) Mutobvu, Mpho Ronald; Munyoka, W.; Kadyamatimba, A.The importance of digital technologies on the growth and sustainability of small, micro and medium-sized enterprises (SMMEs) across the world need not be reemphasised. SMMEs plays a paramount role in the growth of economies, Gross Domestic Product (GDP) and the general socio-wellbeing of citizens; hence they are the driving force for employment creation. However, their efforts in adopting digital technologies to achieve their targets and growth, is not without challenges. This study establishes the impact of digital technologies on SMMEs in emerging towns in South Africa, with a focus on the Vhembe District Municipality in Limpopo Province. Guided by the Technology Organisation Environment (TOE) framework as a theoretical approach, this study proposed and tested a framework to predict factors that are impacting SMMEs. Data for testing the proposed framework was collected from 100 SMMEs owners and workers using a survey questionnaire across the Vhembe District Municipality. IBM SPSS was used to analyse the collected data using descriptive statistics and regression analysis. This study found that SMMEs with access to digital technologies have more access to information, markets, reduce operational costs while increasing the productivity and revenue. Management support regarding the use of digital technologies significantly improves the overall performance of SMMEs. This study recommend that government should provide an enabling environment through supportive policies and resources to ensure effective fusion and adoption of digital technologies by SMMEs.Item Information and communication technology for sustainable small-scale sweet potato farming: A case of Vhembe District in Limpopo Province, South Africa(2022-11-10) Mathivha, Nduvho Sharon; Munyoka, W.; Tutani, D.; Nethengwe, T.Nowadays Information and Communication Technologies (ICTs) has become an indispensable tool for enhancing farming. It is considered an important factor in disseminating farming information to small-scale sweet potato farmers. Farming information is regarded as a critical factor for decision making for small-scale sweet potato farmers. In South Africa, small-scale sweet potato farmers access farming information through ICT channels. However, the lack of knowledge and skills in using ICTs prohibits small-scale sweet potato farmers from accessing farming information. This study evaluates the effects of facilitating conditions, technical aspects, cost of accessing the internet and socio-cultural issues on sweet potato farmers’ behavioral intention to adopt ICTs for sustainable farming (BI-ICT4SF). Thus, this study aims to assess the effects of these factors on small-scale sweet potato farmers’ BI-ICT4SF and use behavior of ICT4SF. This study adopts a mixed method approach. Qualitative data was collected from 10 small-scale sweet potato farmers using semi-structured interview; while quantitative data was collected from 150 respondents using structured questionnaires from small-scale sweet potato farmers in Vhembe Rural District, Limpopo Province. Quantitative data was analyzed using IBM SPSS while qualitative data was analyzed thematically. The findings of this study showed that price value, performance expectancy, facilitating conditions, socio-cultural value and technical information are strong predictors of BI-ICT4SF; while BI-ICT4SF has a positive influence on use behavior of ICT4SF. Effort expectancy was not a significant predictor of BI-ICT4SF. These findings add new insights and awareness to small-scale sweet potato farmers on the best practice of using ICTs and skills they would require for accessing farming information. The proper adoption of ICTs will enhance sustainable small-scale sweet potato farming.