The aim of this study is to conduct a thorough theoretical study on the relevant aspects involved in knowledge management and organisational learning, and to assess the maturity level of knowledge management within the South African steel industry. Various aspects of knowledge, knowledge management and organisational learning with specific relation to sustainable competitive advantage are discussed in the literature study. During the literature research several factors which either promote or hinder the effective management of knowledge were identified and a list of lessons learned by other successful knowledge focused companies, are discussed. The critical success factors for a successful knowledge management program are also discussed. Knowledge can create a sustainable competitive advantage within an organisation, if successfully applied to make value adding decisions and to enable learning, and if it is applied to make decisions which are superior to that of its rivals across the supply chain. An integrated approach needs to be followed when KM is pursued and the knowledge must be applied to make value added decisions and facilitate learning across all processes in the value chain. The focus must be to retain an organisation’s tacit knowledge as this is a key success factor to ensure a sustainable competitive advantage. The study includes research on whether knowledge management is effectively used as a sustainable competitive advantage in the South African steel industry. The maturity level of the application of knowledge and learning principles implemented within the South African steel industry is assessed and compared to the maturity level of ArcelorMittal, Monlevade, located in Brazil. A survey was designed and distributed to determine the knowledge management and organisational learning maturity levels at two steel facilities of ArcelorMittal in South Africa and one facility in Brazil. The key problem areas as identified through the empirical research are discussed and it is concluded that South African facilities do not effectively use knowledge management as a sustainable competitive advantage. The maturity level of knowledge management in ArcelorMittal, South Africa is low compared to the maturity at Monlevade and rival companies such as Tata and Posco steel. A significant effort needs to be made in order to allow the effective creation, acquisition, sharing and leveraging of knowledge within the South African steel facilities. The key factors which constrain effective knowledge management is related to ineffective Human Resource policies, organisation structure, lack of knowledge exchange forums, collaboration and communication, coaching, and a lack of incentives to share tacit knowledge. It is also evident that knowledge is not seen as a sustainable competitive advantage by many respondents and that they perceive they do not have the time or capacity to transfer knowledge. Ten practical design principles were constructed and a knowledge management framework was developed to guide South African steel companies during the design and execution of a knowledge management programme which will ensure that knowledge management will result into a sustainable competitive advantage. / Thesis (M.B.A.)--North-West University, Potchefstroom Campus, 2011.

This research is concerned with the nature and extent of problems experienced by detectives in the collection, processing and utilisation of crime information for the investigation of crime. The problems gave rise to poor detective performance. The development of information-led policing offers an alternative to the traditional ”reactive” model of investigation of crime. Information-led policing advocates the targeting, gathering, analysis and dissemination of information which is used to inform decisions about the prioritisation of problems and allocation of resources to address the problems (Cope, as quoted by Alison, 2005:93). The purpose of this study is to determine the strengths and weaknesses in the collection, processing and utilisation of crime information at the Rustenburg Detective Service, to find new knowledge that can improve the situation, and to apply the found knowledge to enhance the performance of detectives. / Criminology and Security Science / M.Tech. (Forensic Investigation)

Bibliography: pages 184-207 / Digital records are either stored in an enterprise resource planning (ERP) system or electronic content management (ECM), or managed without the benefit of either system. In many countries, public and private organisations have implemented ECM systems, some have implemented ERP systems and others generate digital records without the benefit of any controlled system. In most organisations such systems are not integrated resulting in duplication and fragmentation of records. The South African Water Utility company, Rand Water, has implemented both ERP and ECM systems. Investing in these systems as an organisation comes at a cost but it can add value when used optimally to improve the organisation’s productivity and efficiency. To achieve high productivity and efficiency, integration of an ERP system into an ECM system is a requirement but remains lacking. This qualitative study utilised the Actor Network Theory to explore the integration of ERP into ECM at the South African Water Utility company, Rand Water, with a view to developing a framework for integration of the systems. The study utilised a system analysis case design with fourteen interviews conducted at different levels in the organisation and diverse business units using ERP and ECM to perform their operational deliverables in line with the organisation’s business objectives. The interviews were augmented with data from document analysis of policies, specifications and functionalities of the systems to determine the feasibility of integration. The study established that the water utility company has implemented ERP systems (SAP) since 1994 and ECM system since 1991 (Papertrail and later IBM FileNet) with only information flow module integrated. The study suggested that to integrate ERP into ECM, human and non-human actors need to collaborate to ensure that the actor network being integrated is achieved. The study also presents a strategy discussion for integrating ERP into ECM. A further study on the transfer of digital records in ECM into archival custody is recommended. / Information Science / D. Phil. (Information Science)

Sjöräddning i Sverige sker genom samverkan mellan statliga verksamheter, kommuner och frivilligorganisationer för ett gemensamt mål att rädda personer som råkat i sjönöd. Tid är ofta en kritisk faktor i räddningsuppdragen men ett snabbt och oplanerat utryck riskerar samtidigt att sätta räddningsaktörerna själva i farozonen. Utvecklingen av obemannade autonoma farkoster för SAR (eng. Search And Rescue) ses som en lösning på behovet att kunna snabbt skicka hjälp till samt få ögon på incidentplatsen utan att försätta räddningsaktörerna för onödig risk. Nuvarande kommunikationssystem inom svensk sjöräddning kan dock inte hantera annan typ av information än muntlig varav räddningsaktörer endast känner till riktlinjer för hantering av muntlig information. Med ett framtida införande av autonoma farkoster kommer dock fler informationstyper att behöva hanteras i sjöräddningar varav oklarheten om vilka informationstyper autonoma farkoster samlar in och vilka datahanteringskrav som finns är problematiskt. Oklarhet om informationstyperna och deras datahanteringskrav är vidare problematiskt för utvecklingen och implementeringen av autonoma farkoster då risken finns att farkoster och tekniker utvecklas men inte får användas för att de inte är anpassade efter lagkraven på hantering av olika datatyper. I denna studie undersöks därför vilka informationstyper som autonoma farkoster kan samla in vid sjöräddning. Detta för att komma fram till vilka riktlinjer för datahantering som gäller vid sjöräddning med autonoma farkoster. Studien undersöker också vilka informationstyper som är kritiska för en SAR-sjöräddningssamverkan samt vilka informationsdelningsutmaningar som finns i dagens sjöräddning. Studien genomfördes i form av en kvalitativ fallstudie och har tillämpat ett socio-tekniskt systemperspektiv för att bättre se till helheten och besvara frågeställningarna. Resultatet av denna studie visar att autonoma farkoster kan samla in information om sin omgivning, vilket utgör grunden för att skapa en medvetenhet om situationen som är kritiskt för SAR-operationer, och kan även samla in information om sitt eget tillstånd. De lagverk som identifierats utgöra de huvudsakliga restriktionerna är kamerabevakningslagen, lagen för skydd av geografisk information, offentlighets- och sekretesslagen, GDPR och dataskyddslagen. Dessa lagverk innehåller riktlinjer för delning av information och personuppgiftsbehandling i SAR-sjöräddning. Kunskapsbidrag studien har genererat inkluderar bland annat identifiering av datatyper som kan samlas in av autonoma farkoster i en SAR-sjöräddning, och sannolikt andra typer av räddningsinsatser, och delning och hanteringskraven på de datatyperna i räddningsinsatser och därmed kunskap om vilka datatyper som är mest reglerade. Vidare kunskapsbidrag är kunskap om vilka informationstyper som är mest kritiska för SAR-sjöräddningar, och därför bör prioriteras att samlas in och delas, och identifieringen av utmaningar för informationsdelning mellan statliga verksamheter och frivilligorganisationer. / Maritime rescue in Sweden is performed through a cooperation between government agencies, municipalities and non-governmental organisations (NGOs) with the common goal of saving people in distress. Time is often a critical factor in the rescue missions but a fast and unplanned response may at the same time put the rescue workers in danger. The development of unmanned autonomous vehicles for SAR is seen as a solution to the need of being able to quickly sendhelp as well as get eyes on the scene of the incident without exposing the rescue workers for unnecessary risks. However, the current communications systems in Swedish maritime rescue are unable to handle any other type of information except verbal, meaning that rescue workers only know guidelines for handling verbal information. However, with a future implementation of autonomous vehicles, there will be a need to handle more information types in maritime rescue whereas the uncertainty regarding what kind of information autonomous vehicles collect and which data management requirements exist is problematic. The uncertainty about the information types and their data management requirements is also problematic for the development and implementation of autonomous vehicles as there is a risk that vehicles and technologies are developed but not allowed to be used because they are not adapted to the legal requirements on management of the different types of data. Therefore, in this study I examine what information types that autonomous vehicles can collect in a maritime rescue to find out what guidelines for data management that applies during a maritime rescue with autonomous vehicles. The study also examines what kind of information’s are critical for a SAR maritime rescue cooperation as well as what information sharing challenges exist in current maritime rescue. The study was performed as a qualitative case study and has used a socio-technical systems perspective so as to better see the overall picture and answer the research questions. The result shows that autonomous vehicles can collect information about their surroundings, which is the foundation for establishing situation awareness that is critical for SAR-operations, and that they can collect information about their own status. The main laws and regulations that have been identified as constituting the main restrictions are (translated from Swedish) the law of camera surveillance, the law for protection of geographical information, the public access to information and secrecy act, the GDPR and the data protection act. These contains guidelines for sharing information and the processing of personal data in SAR maritime rescue. The knowledge contributions of this study includes among others the identification of datatypes that can be collected by autonomous vehicles in SAR maritime rescue, and probably other types of rescue operations, and the sharing and management requirements on those datatypes in rescue operations and thus knowledge of what datatypes that are the most restricted. Further knowledge contributions is knowledge about which information types that are the most critical for SAR maritime rescue and thus should be prioritised for collection and sharing as well as the identification of challenges for information sharing between government agencies and NGOs.

Univerzita Karlova v Praze Filozofická fakulta Ústav informačních studií a knihovnictví Informační věda PhDr. Zuzana Šidlichovská Význam a design evaluačního výzkumu v oblasti managementu informačních služeb řízení informačních aktivit a toků v organizacích ze sektoru soukromých bezpečnostních služeb The importance and the design of evaluation research on information management management of information activities and flows in private security service organization Abstrakt dizertační práce v angličtině Vedoucí práce: Prof. Ing. Josef Basl, CSc. Praha 2015 3 Abstrakt dizertační práce v angličtině In the first part, the dissertation describes the importance and the design of evaluation research on information management at small and medium-sized enterprises in the area of private security services. Secondly, it provides a general mapping of current evaluation practices trends from all over the world as well as from the Czech Republic. Thirdly, the dissertation depicts the main characteristics of evaluation and evaluation research methodology focused on the target group of small and medium-sized enterprises in private security service sector. The main goal of the dissertation project is to map and discuss the current importance of evaluation research on information management. Its main output is to explore an...

<p>Technological advances have a profound impact on people and the world in which they live. People use a wide range of smart devices, such as the Internet of Things (IoT), smartphones, and wearable devices, on a regular basis, all of which store and use location data. With this explosion of technology, these devices have been playing an essential role in digital forensics and crime investigations. Digital forensic professionals have become more able to acquire and assess various types of data and locations; therefore, location data has become essential for responders, practitioners, and digital investigators dealing with digital forensic cases that rely heavily on digital devices that collect data about their users. It is very beneficial and critical when performing any digital/cyber forensic investigation to consider answering the six Ws questions (i.e., who, what, when, where, why, and how) by using location data recovered from digital devices, such as where the suspect was at the time of the crime or the deviant act. Therefore, they could convict a suspect or help prove their innocence. However, many digital forensic standards, guidelines, tools, and even the National Institute of Standards and Technology (NIST) Cyber Security Personnel Framework (NICE) lack full coverage of what location data can be, how to use such data effectively, and how to perform spatial analysis. Although current digital forensic frameworks recognize the importance of location data, only a limited number of data sources (e.g., GPS) are considered sources of location in these digital forensic frameworks. Moreover, most digital forensic frameworks and tools have yet to introduce geo-contextualization techniques and spatial analysis into the digital forensic process, which may aid digital forensic investigations and provide more information for decision-making. As a result, significant gaps in the digital forensics community are still influenced by a lack of understanding of how to properly curate geodata. Therefore, this research was conducted to develop a transdisciplinary framework to deal with the limitations of previous work and explore opportunities to deal with geodata recovered from digital evidence by improving the way of maintaining geodata and getting the best value from them using an iPhone case study. The findings of this study demonstrated the potential value of geodata in digital disciplinary investigations when using the created transdisciplinary framework. Moreover, the findings discuss the implications for digital spatial analytical techniques and multi-intelligence domains, including location intelligence and open-source intelligence, that aid investigators and generate an exceptional understanding of device users' spatial, temporal, and spatial-temporal patterns.</p>

Orientation: The safety of any natural being with respect to the processing of their personal information is an essential human right as specified in the Zimbabwe Data Protection Act (ZDPA) bill. Once enacted, the ZDPA bill will affect universities as public entities. It will directly impact how personal information is collected and processed. The bill will be fundamental in understanding the privacy perceptions of students in relation to privacy awareness, privacy expectations and confidence within university. These need to be understood to give guidelines to universities on the implementation of the ZPDA. Problem Statement: The current constitution and the ZDPA are not sufficient to give organisations guidelines on ensuring personal information privacy. There is need for guidelines to help organisations and institutions to implement and comply with the provisions of the ZDPA in the context of Zimbabwe. The privacy regulations, regarded as the three concepts (awareness, expectations and confidence), were used to determine the student perceptions. These three concepts have not been researched before in the privacy context and the relationship between the three concepts has not as yet been established. Research purpose: The main aim of the study was to develop and validate an Information Privacy Perception Survey (IPPS) diagnostic tool and a Student Personal Information Privacy Perception (SPIPP) model to give guidelines to universities on how they can implement the ZDPA and aid universities in comprehending student privacy perceptions to safeguard personal information and assist in giving effect to their privacy constitutional right. Research Methodology: A quantitative research method was used in a deductive research approach where a survey research strategy was applied using the IPPS instrument for data collection. The IPPS instrument was designed with 54 items that were developed from the literature. The preliminary instrument was taken through both the expert review and pilot study. Using the non-probability convenience sampling method, 287 students participated in the final survey. SPSS version 25 was used for data analysis. Both descriptive and inferential statistics were done. Exploratory factor analysis (EFA) was used to validate the instrument while confirmatory factor analysis (CFA) and the structural equation modelling (SEM) were used to validate the model. Main findings: diagnostic instrument was validated and resulted in seven new factors, namely university confidence (UC), privacy expectations (PE), individual awareness (IA), external awareness (EA), privacy awareness (PA), practice confidence (PC) and correctness expectations (CE). Students indicated that they had high expectations of the university on privacy. The new factors showed a high level of awareness of privacy and had low confidence in the university safeguarding their personal information privacy. A SPIPP empirical model was also validated using structural equation modelling (SEM) and it indicated an average overall good fit between the proposed SPIPP conceptual model and the empirically derived SPIPP model Contribution: A diagnostic instrument that measures the perceptions (privacy awareness, expectations and confidence of students) was developed and validated. This study further contributed a model for information privacy perceptions that illustrates the relationship between the three concepts (awareness, expectations and confidence). Other universities can use the model to ascertain the perceptions of students on privacy. This research also contributes to improvement in the personal information protection of students processed by universities. The results will aid university management and information regulators to implement measures to create a culture of privacy and to protect student data in line with regulatory requirements and best practice. / School of Computing / Ph. D. (Information Systems)

Since the earliest reported cases of HIV/AIDS probably in 1959 in Africa, there has been a consistent progression in the new HIV/AIDS infection cases. In South Africa, Gauteng, records one of the highest HIV/AIDS prevalence rates in the country. The Department of Health (DOH) South Africa conducts ongoing studies on HIV/AIDS at provincial levels; these studies monitor the prevalence of HIV/AIDS amongst pregnant women attending antenatal clinics, as a tool for determining and monitoring the prevalence, trends, patterns and spread of the disease in the general population. This study analyses sentinel and spatial data collected from the (DOH) and Statistics South Africa (StatsSA) respectively, and depicts them in the form of spatial maps, and then critically analyses the spatial patterns that occur. The research findings would hopefully contribute to the overall knowledge of HIV/AIDS and provide framework and relevant literature for further investigation. / Geography / M.Sc. (Geography)

Music is perceived and described very subjectively by every individual. Nowadays, people often get lost in their steadily growing, multi-placed, digital music collection. Existing music player and management applications get in trouble when dealing with poor metadata that is predominant in personal music collections. There are several music information services available that assist users by providing tools for precisely organising their music collection, or for presenting them new insights into their own music library and listening habits. However, it is still not the case that music consumers can seamlessly interact with all these auxiliary services directly from the place where they access their music individually. To profit from the manifold music and music-related knowledge that is or can be available via various information services, this information has to be gathered up, semantically federated, and integrated into a uniform knowledge base that can personalised represent this data in an appropriate visualisation to the users. This personalised semantic aggregation of music metadata from several sources is the gist of this thesis. The outlined solution particularly concentrates on users’ needs regarding music collection management which can strongly alternate between single human beings. The author’s proposal, the personal music knowledge base (PMKB), consists of a client-server architecture with uniform communication endpoints and an ontological knowledge representation model format that is able to represent the versatile information of its use cases. The PMKB concept is appropriate to cover the complete information flow life cycle, including the processes of user account initialisation, information service choice, individual information extraction, and proactive update notification. The PMKB implementation makes use of SemanticWeb technologies. Particularly the knowledge representation part of the PMKB vision is explained in this work. Several new Semantic Web ontologies are defined or existing ones are massively modified to meet the requirements of a personalised semantic federation of music and music-related data for managing personal music collections. The outcome is, amongst others, • a new vocabulary for describing the play back domain, • another one for representing information service categorisations and quality ratings, and • one that unites the beneficial parts of the existing advanced user modelling ontologies. The introduced vocabularies can be perfectly utilised in conjunction with the existing Music Ontology framework. Some RDFizers that also make use of the outlined ontologies in their mapping definitions, illustrate the fitness in practise of these specifications. A social evaluation method is applied to carry out an examination dealing with the reutilisation, application and feedback of the vocabularies that are explained in this work. This analysis shows that it is a good practise to properly publish Semantic Web ontologies with the help of some Linked Data principles and further basic SEO techniques to easily reach the searching audience, to avoid duplicates of such KR specifications, and, last but not least, to directly establish a \"shared understanding\". Due to their project-independence, the proposed vocabularies can be deployed in every knowledge representation model that needs their knowledge representation capacities. This thesis added its value to make the vision of a personal music knowledge base come true.

Since the earliest reported cases of HIV/AIDS probably in 1959 in Africa, there has been a consistent progression in the new HIV/AIDS infection cases. In South Africa, Gauteng, records one of the highest HIV/AIDS prevalence rates in the country. The Department of Health (DOH) South Africa conducts ongoing studies on HIV/AIDS at provincial levels; these studies monitor the prevalence of HIV/AIDS amongst pregnant women attending antenatal clinics, as a tool for determining and monitoring the prevalence, trends, patterns and spread of the disease in the general population. This study analyses sentinel and spatial data collected from the (DOH) and Statistics South Africa (StatsSA) respectively, and depicts them in the form of spatial maps, and then critically analyses the spatial patterns that occur. The research findings would hopefully contribute to the overall knowledge of HIV/AIDS and provide framework and relevant literature for further investigation. / Geography / M.Sc. (Geography)