Department of Information Systemshttp://hdl.handle.net/11394/722024-01-25T23:21:58Z2024-01-25T23:21:58ZDesign of ethics to enhance privacy, security, and safety in e-logistics internet of things.Crown, Caitlynhttp://hdl.handle.net/11394/106122024-01-23T00:01:17Z2023-01-01T00:00:00ZDesign of ethics to enhance privacy, security, and safety in e-logistics internet of things.
Crown, Caitlyn
Purpose: This study focuses on making Internet of Things (IoT) implementations in the e-logistics industry private, secure, and safe. This is achieved through meeting the following objectives: creating an operational definition of ethics, identifying how ethics can be incorporated into the design of IoT, identifying whether ethics can be employed to ensure privacy, security, and safety, and documenting recommendations on how ethics by design can be used to improve the privacy, safety, and security of IoT e-logistics devices. Methodology/Design: This study utilises the theoretical framework detailed by Van Aken describing the main pillars of system design, namely object design, process design, and realization design. This framework guided the data collection and data analysis of the study by providing a context to inform further categorisation of the data for better insights. The data collection method used was a questionnaire to a single case study of 15 respondents using the philosophy of interpretivism to identify and understand the embarkment of knowledge during a study. Research Limitations: This study collected and used data from a single case study in South Africa – an IoT device manufacturer and software development organization focused on retail distribution IoT devices. This data collection from the case study limited the scope of the study to a specific sample that did not cater to the full spectrum of Logistics devices and their private, secure, and safe implementation.
Magister Commercii - MCom
2023-01-01T00:00:00ZFactors affecting the adoption of artificial intelligence (AI) in the supply chain and logistics lndustryMolopa, Tshwarelohttp://hdl.handle.net/11394/106062024-01-23T00:01:09Z2023-01-01T00:00:00ZFactors affecting the adoption of artificial intelligence (AI) in the supply chain and logistics lndustry
Molopa, Tshwarelo
This study explores factors affecting the adoption of Artificial Intelligence in the Supply Chain and Logistics Industry in the Rpublic of South Africa. The study followed these objectives: to explore technological factors affecting the adoption of Artificial Intelligence in supply chain and logistics industry’. To explore organisational factors that affect the adoption of Artificial Intelligence in the supply chain and logistics industry and to explore environmental factors that affect the adoption of Artificial Intelligence in the supply chain and logistics industry. The study selected a quantitative approach with a convenient sampling of 200 employees in the South African supply chain and logistics sector. Data was gathered using a self-managed, online questionnaire. The return rate of the questionnaire was 24%. Reliability and validity tests were conducted on the data, demonstrating that the concept measures produced consistent, repeatable results and faithfully captured the constructs they were designed to evaluate. The findings were that business units are committed to providing staff with the necessary training to support AI projects, with the majority of partcipants strongly agreeing with the sentiment. Besides, the majority of respondents agree that security is an important factor in the business when it comes to new technology adoption. A significant number of respondents think that AI can be difficult to deploy due to its various interdependencies, with half of the respondents believing that top managers are likely to invest in AI. The study further reveals that machine learning was the most popular algorithm implemented in the supply chain and logistics industry. The paper provides the expanding body of knowledge about AI adoption by leveraging factors from the T-O-E framework to explain adoption in the Supply Chain and Logistics industry.
Magister Commercii - MCom
2023-01-01T00:00:00ZDevelopment of a learning analytics approach to identify at-risk students in higher educationJongile, Sonwabohttp://hdl.handle.net/11394/105992024-01-23T00:01:06Z2023-01-01T00:00:00ZDevelopment of a learning analytics approach to identify at-risk students in higher education
Jongile, Sonwabo
Learning Analytics (LA) has emerged as a study domain within higher education, combining elements of Business Intelligence (BI) and education-focused analytics. It implies principles and processes similar to BI in the business field. LA primarily focuses on analysing student-institution interactions, student success factors, and the effectiveness of teaching and learning approaches such as traditional face-to-face, online, and blended learning. Like in the business field, LA relies on quality data inputs, which vary in their accuracy and completeness. Over the past two decades, higher education institutions (HEIs) have experienced significant changes related to the adoption of Information and Communications Technologies (ICTs). These changes aimed to improve operational efficiency, enhance management effectiveness, and increase competitiveness. Operational efficiency involved automating information-based processes, while management effectiveness included the implementation of Institutional Management Systems (IMS) such as Enterprise Resource Planning (ERP) and Student Information Systems (SIS). To improved competitiveness, HEIs implemented strategic information systems, shifted to online learning, and utilised blended learning practices through integrated Learning Management Systems (LMS) and Marks Administration (MAS).
Magister Commercii - MCom
2023-01-01T00:00:00ZA graduate level ethics framework for the higher education information systems curriculum in South AfricaAdams, Yusufhttp://hdl.handle.net/11394/105972024-01-20T00:01:10Z2023-01-01T00:00:00ZA graduate level ethics framework for the higher education information systems curriculum in South Africa
Adams, Yusuf
Purpose: The objective of this study was to fill a gap in the Information Systems (IS) literature oncerning the manner in which ethics are to be incorporated into the Information Systems curriculum to allow for accelerated learning by IS students in the field of ethics. This was accomplished by developing a framework that assisted Information Systems lecturers to embed ethics into the curriculum in ways that improved graduate comprehension and application of ethical principles during Information Systems learning, research and practice.
Methodology/design: This study used a single case study design, gathering data from two cohorts of IS graduates at a single university, before and after exposure to ethics teaching and learning that translated ethical considerations of AI systems into familiar IS concepts, such as input, process, output, and the technology-organisation-environment taxonomy.
Practical implications: This study added value to IS curriculum design as a discipline, clarifying how ethical principles that relate to IS are mapped to an existing undergraduate understanding of Information Systems – the existing curriculum, including a phased breakdown into input, design, and output, as well as IS concepts such as functional and non-functional system requirements.
Findings: Even after having received learning in ethics that were carefully embedded into relevant modules of the IS curriculum, students did not have a solid understanding of the essential ethical concerns required to create and design ‘ethical-by-design’ systems in the field of Information Systems.
Magister Commercii (Information Management) - MCom(IM)
2023-01-01T00:00:00Z