M.A. / Managers have an important and prominent role in an organisation. As decision-makers they hold the authority and responsibility to act on the available information. As leaders, they set examples and promote a culture of information sharing and collaboration. As strategists, they ensure that information policies are well aligned with the organisation's mission. One of the greatest challenges facing an organisation is to understand how the external environment is changing, what the changes mean, and how the organisation can best respond to the new provisos. The process of learning about the external environment is environmental scanning, i.e. the art of gathering and interpreting information about the environment enabling the organisation to have the knowledge to develop effective courses of action. The goal of information management is thus to harness information resources and information capabilities to enable the organisation to learn and adapt in an ever-changing environment. Key information processes will be assessed with reference to special problems of managing each process. At the same time the opportunity for change would be highlighted by combining an understanding of information use behaviours with a more flexible, user centred design of information services and systems. Competitive intelligence on the other hand is the systematic process of gathering and analysing information about the activities of competitors and general business trends to further the organisation’s goals. All definitions point toward creating knowledge from openly available information by use of a systematic process involving planning, collection, analysis, communication and management which result in decision-maker action. While competitive intelligence incorporates knowledge management processes of collecting and storing knowledge, competitive intelligence definitions discuss the actual analysis of the gathered information. Key factors for success of information management in organisations reinforce the need for the integration of business strategy and information. The key factors are the relationships with customers and suppliers; flatter management structures and better use of resources; training and quality and environmental issues. Each of these factors rests on information, its use, creation, storage and dissemination. A process approach to information management supports the integration of business strategy and information. The calls for integration come from at least three different communities: information management, information systems and management. Successful companies are those that adapt to and shape their environments. They do so by using and creating information in a process of continuous improvement and innovation. Key factors for success in organisations reinforce the need for integration of business strategy and information. Managers in firms see their success as dependent on their organisation's ability to accommodate and manage change and to respond to changes in their environments. The study concludes with a case study of Pyromet Technologies showing that it is possible to have an integrated strategic information management model incorporating all three variables successfully.

Information System development involves various activities; the process of developing information systems is considered to be the production of a series of documents. The information derived from the activities of the life cycle needs to be stored in a way that will facilitate the carrying out of subsequent activities. That is, information must be stored with a consistent, semantically rich, flexible, and efficient structure that will make it accessible for use by various tools employed in carrying out the development process. In this research, knowledge base management system (KBMS) to manage the information created by the information system development process was designed and implemented. Several contemporary popular knowledge representation schemes can be managed conveniently by this KBMS, which utilized efficient database techniques to facilitate fast retrieval and traversal of the underlying semantic inheritance net and frame knowledge structure. Inference and logic deduction capability was made a part of the static knowledge structure to further extend the functionality of the KBMS. Furthermore, a specially designed relational database management system was implemented and interfaced with the KBMS to alleviate the possibility of a storage saturation problem and to facilitate the storage of detailed exclusive information of terms defined in the knowledge base. Models that are applicable to various information system development activities were identified and stored in the knowledge base. The aggregation of those models is, in fact, a conceptual non-procedural language that provides a concise descriptive framework to help the user gather and manage information derived from various activities during the information system development process. The knowledge base, the language, and several knowledge-base related tools were used by more than seventy graduate students in a case study for a system analysis and design course. An information system methodology specifically tailored for this knowledge base supported environment was proposed and applied in a simplified case to illustrate the process of how a database-centered information system can be derived from the initial strategic planning phase. The methodology explored and made use of the storage structure of the closely coupled knowledge base and database. Finally, future research direction was identified.

Objectives: This project seeks to reduce duplication of effort in finding data for NHS healthcare quality indicators, to resolve issues identified in previous efforts to develop quality-monitoring ontologies and to identify areas for future computer-interpretable quality indicator development for the United Kingdom’s Department of Health and National Health Service (NHS). Outcomes will include specification of inclusion and exclusion criteria for a set of healthcare quality indicators, along with categorisation beyond screening and prevention and identification of levels of indicator relationships Methodology: Following an exploration of potential methods for ontology development, Methontology was the method chosen to develop the ontology. This involved a conceptual analysis to inform the development of an ontology for a 2009 set of healthcare quality indicators made available on the NHS Information Centre website. Indicators were categorised by NHS Dimension, NHS-specified clinical pathway and by United States Institute of Medicine purpose. Relationships between indicators were identified, as well as an initial set of inclusion and exclusion criteria. Protégé 3.4.1 was the platform used to develop a pilot ontology. Results: NHS quality indicators that share some of the same criteria were made searchable, along with broader and narrower related criteria. Up to six layers of inclusion and exclusion criteria were specified and incorporated into the ontology. Search capabilities were created for indicators originating from the same source and from more than one source, along with indicators assigned to specific care pathways. It was shown that indicators have purposes other than prevention and screening, rendering Arden Syntax, intended for computer-interpretable guidelines and previously tested on a specialised set of healthcare quality indicators, unsuitable for a large, diverse set of quality indicators. A large number, 222, of quality indicators with different purposes justified the development of a separate ontology. Conclusions: This ontology could reduce duplication of effort in finding data for NHS healthcare quality indicators. There is potential to link to components of queries currently in use in the NHS, as an interim step away from the need to develop separate queries for each indicator. Areas for future computer- interpretable quality indicator development include resolving Electronic Health Record compatibility issues and improved indicator metadata quality. The ontology could be useful to NHS indicator developers, NHS data xtractors and vendors of electronic health records who supply to the NHS.

This research investigates the relative effectiveness of different modes of regulation of access to personal data on social networking services in the UK. A review of the literature demonstrated that there was a gap in research comparing different regulatory modes applied to online social networking services (SNSs). A model of regulation was developed based on Lessig’s four modes of regulating the internet. Risk to individual users was selected as a way of testing different regulatory approaches, using the premise that risk-based regulation has become a key consideration in European regulation. The regulatory effects were tested using: online surveys, interviews with industry experts, content analysis of privacy policies, and a legislative review. The research data are appended to the main body of the thesis. The research demonstrated the potential of risk as a means of distinguishing between different regulatory modes and concluded that a combination of regulatory approaches was the most effective way of protecting individuals against abuse of personal data on online SNSs. Further research suggested includes: looking at risk from the perspective of companies, and of society; further development of the regulatory model; and country comparisons to discover whether the findings of this study are more generally applicable.

Thesis (MBA)--Stellenbosch University, 2008. / ENGLISH ABSTRACT: In the past decade or two companies started to realise that competitive advantage is not only achieved by optimising their business value chain, but also in managing the knowledge in the company. This led to the development of different knowledge management models and to millions of dollars being spent on knowledge management implementations across the world. Although there were huge successes, a large number of initiatives were spectacular failures - believed to be mainly caused by the linear method of capturing and presenting knowledge. Computer-based mapping tools is a new generation of personal computer (PC) based tools that allow people to present knowledge graphically. Since the focus of most research into computer-based mapping tools has been on the educational use of mapping tools, the focus of this study will be on the business use of these tools. Thus a number of common, off-the-shelf computer-based mapping tools were evaluated to determine whether they can add business value. From the evaluation a decision matrix was developed to assist knowledge workers in selecting the best tool for a specific application. The primary activities of the knowledge value chain model were investigated to select a series of business activities where the use of computer-based mapping tools could possibly generate more business value in the execution of the business activity. These activities were then measured against a set of criteria that was developed in order to evaluate the different computer-based mapping tools. It was found that the selected software applications could be clearly separated based upon their theoretical and philosophical backgrounds into concept mapping tools and mind mapping tools. It was further found that the possible business value that could be derived through the use of these tools is more dependent on the selection of the correct type of tool, than on the selection of a specific software package. Lastly it was found that concept mapping tools could be used across a broader spectrum of business activities. The research also reached the conclusion that the use of concept mapping tools will possibly add more value to a business than the use of mind mapping software. / AFRIKAANSE OPSOMMING: Gedurende die afgelope dekade of wat het maatskappye al meer begin besef dat hulle mededingingsvoordeel nie net geleë is in hoe goed hulle die besigheid se waardeketting kan optimiseer nie, maar dat die kennis in die maatskappy ook beter bestuur moet word. Dit het tot gevolg gehad dat 'n aansienlike hoeveelheid kennis bestuursmodelle ontwikkel is en dat miljoene dollar gespandeer is op die implementering van kennis bestuurstelsels. Ten spyte van groot suksesse wat behaal is, was daar ook totale mislukkings. Die vermoede bestaan dat een van die redes vir die mislukkings die liniêre manier is waarop kennis vasgevang en aangebied is. Rekenaar-gebaseerde karteringspakkette is 'n nuwe generasie van persoonlike rekenaar programmatuur wat gebruikers in staat stel om kennis grafies voor te stel. Die meeste navorsing oor die gebruik van rekenaar-gebaseerde karteringspakkette het egter op die opvoedkundige aspek daarvan gefokus. In hierdie navorsing val die fokus eerder op die besigheidsgebruik van sodanige gereedskap. 'n Aantal algemeen beskikbare, van-die-rak pakkette is ge-evalueër om vas te stel of hulle waarde tot 'n besigheid kan toevoeg. Vanuit hierdie evaluering is In keuse-matriks saamgestel om kenniswerkers in staat te stel om die beste pakket vir 'n spesifieke besigheidsaktiwiteit te kies. Die primêre aktiwiteite van die kennis waardeketting model is ondersoek ten einde 'n aantal besigheidsaktiwiteite te kan selekteer wat moontlik meer waarde tot die besigheid kan toevoeg deur die gebruik van rekenaar-gebaseerde karteringspakkette. Die geselekteerde aktiwiteite is gemeet teen 'n reeks kriteria wat ontwikkel is om die verskillende rekenaar-gebaseerde karteringspakette teen mekaar op te weeg. Die navorsing het bevind dat die geselekteerde programmatuur pakkette hoofsaaklik in twee groepe val op grond van hulle teoretiese en filosofiese funderings, naamlik konsepkaarte en gedagtekaarte. Verder is vasgestel dat meer besigheidswaarde ontsluit word deur die keuse van die regte tipe programmatuur vir 'n spesifieke aanwending as deur die keuse van In spesifieke programmatuur pakket. Laastens is bevind dat konsepkaarte oor 'n wyer verspreiding van besigheidsaktiwiteite gebruik kan word. Eventueel kan afgelei word dat die gebruik van konsepkaarte meer waarde tot 'n besigheid sal toevoeg as die gebruik van gedagtekaarte.

Cluster is not a new phenomenon, having existed in different forms for a long time. Although a large amount of work has been dedicated to cluster research (Marshall, 1920; Krugman, 1995; Schmitz 1997; Porter, 1998; Wilson and Popp, 2003), there is still a lack of convincing explanations as to how and why clusters are created. Reviewing the different definitions of ‘cluster’ from previous studies, produces the interesting finding that most of the cluster definitions neglect one key element – the ‘actor’ – that is, the individuals who are involved in the process of founding new businesses that give rise to cluster formation. Recognising the values and shortcomings of the extant studies on clusters, this thesis aims to establish a conceptual framework and attempt to advance the understanding of the cluster formation process from an alternative view. The purpose is to answer the research questions of how and why cluster are formed, how different actors interact with key institutional factors relevant to cluster creation and how these actors themselves make sense of the cluster creation process, particularly in the Chinese context. This research employs a qualitative approach comprising semi-structured in-depth interviews, which seek to uncover the depth and richness of the living experiences of different actors with the SME clusters. Fieldwork was completed in multi-phases involving a preliminary data collection in phase one, followed by a further data collection in the second and subsequent phases through re-interviewing the key informants. The findings of the three empirical case studies echoed the claims that the very notion of a cluster is a dynamic, and for some a ‘Chaotic’ one (Martin and Sunley, 2003). This highlights the importance of a comprehensive framework to address the complex web of elements that are involved in cluster formation. The result of the thesis also indicates that individual (entrepreneurs & social relations), and the social interactions among individuals and their institutional context are the key ingredients for forming clusters. It is suggested that the established conceptual framework, based upon the theories of institutionalisation, social embeddedness and sensemaking, can help to fill the gap in the extant cluster research and pave the way for future research.

Tag recommendation algorithms aid the social tagging process in many userdriven document indexing applications, such as social bookmarking and publication sharing websites. This thesis gives an overview of existing tag recommendation methods and proposes novel approaches that address the new document problem and the task of ranking tags. The focus is on graph-based methods such as Folk- Rank that apply weight spreading algorithms to a graph representation of the folksonomy. In order to suggest tags for previously untagged documents, extensions are presented that introduce content into the recommendation process as an additional information source. To address the problem of ranking tags, an in-depth analysis of graph models as well as ranking algorithms is conducted. Implicit assumptions made by the widely-used graph model of the folksonomy are highlighted and an improved model is proposed that captures the characteristics of the social tagging data more accurately. Additionally, issues in the tag rank computation of FolkRank are analysed and an adapted weight spreading approach for social tagging data is presented. Moreover, the applicability of conventional weight spreading methods to data from the social tagging domain is examined in detail. Finally, indications of implicit negative feedback in the data structure of folksonomies are analysed and novel approaches of identifying negative relationships are presented. By exploiting the three-dimensional characteristics of social tagging data the proposed metrics are based on stronger evidence and provide reliable measures of negative feedback. Including content into the tag recommendation process leads to a significant increase in recommendation accuracy on real-world datasets. The proposed adaptations to graph models and ranking algorithms result in more accurate and computationally less expensive recommenders. Moreover, new insights into the fundamental characteristics of social tagging data are revealed and a novel data interpretation that takes negative feedback into account is proposed.

This thesis presents an investigation into the role played by laboratory records in the disciplinary discourse of academic molecular biology laboratories. The motivation behind this study stems from two areas of concern. Firstly, the laboratory record has received comparatively little attention as a linguistic genre in spite of its central role in the daily work of laboratory scientists. Secondly, laboratory records have become a focus for technologically driven change through the advent of computing systems that aim to support a transition away from the traditional paper-based approach towards electronic recordkeeping. Electronic recordkeeping raises the potential for increased sharing of laboratory records across laboratory communities. However, the uptake of electronic laboratory notebooks has been, and remains, markedly low in academic laboratories. The investigation employs a multi-perspective research framework combining ethnography, genre analysis, and reading protocol analysis in order to evaluate both the organizational practices and linguistic practices at work in laboratory recordkeeping, and to examine these practices from the viewpoints of both producers and consumers of laboratory records. Particular emphasis is placed on assessing variation in the practices used by different scientists when keeping laboratory records, and on assessing the types of articulation work used to achieve mutual intelligibility across laboratory members. The findings of this investigation indicate that the dominant viewpoint held by laboratory staff other than principal investigators conceptualized laboratory records as a personal resource rather than a community archive. Readers other than the original author relied almost exclusively on the recontextualization of selected information from laboratory records into ‘public genres’ such as laboratory talks, research articles, and progress reports as the preferred means of accessing the information held in the records. The consistent use of summarized forms of recording experimental data rendered most laboratory records as both unreliable and of limited usability in the records management sense that they did not form full and accurate descriptions that could support future organizational activities. These findings offer a counterpoint to other studies, notably a number of studies undertaken as part of technology developments for electronic recordkeeping, that report sharing of laboratory records or assume a ‘cyberbolic’ view of laboratory records as a shared resource.

This dissertation provides a foundation for electronic information management in organizations. It focuses on the relationships among communication, control, and information flows of the organization. The main thesis addresses the question of how electronic mail messages may be managed according to their contents, ensuring at the same time, the preservation of organizational and social relationships. A taxonomy for the management of unstructured electronic information relevance based on the treatment of information is derived from current research. Among the three paradigms, the information processing, the information distribution, and the information sharing paradigms, the inadequacy of the first two is recognized, and the treatment of information in its active mode is proposed. This taxonomy can be used to quickly differentiate one research from another and evaluate its adequacy. Three concepts, four cornerstones, and an architecture constitute our framework of information relevance management. The cornerstones are knowledge of the organization, knowledge of the individual, information construction, and information interpretation. Through knowledge of the organization and the individual, the machine production systems are able to distribute and manage information according to the logic of human production systems. The other two cornerstones together improve the unity of interpretation among the organizational members. The physical architecture can adapt a number of applications, each of which, may not only have different knowledge presentations and inference mothods, but also may co-exist in the system simultaneously. An integrated knowledge-based electronic messaging system, the AI-MAIL system, is built, tested, and evaluated through a case study to demonstrate the feasibility of the architecture and its applicability to the real-world environment. The three operating levels, interorganizational, intraorganizational, and individual, are illustrated through a study of the U.S. Army. From three large scale field studies, the existing AUTODIN I system, a backbone of the Army's communications, is analyzed and evaluated to illustrate the applicability and benefits of the three operating levels. This dissertation contributes to the field of Management Information Systems by offering a methodology, a taxonomy, a new paradigm, a framework, and a system for information management and a method of adaptive organizational design. In addition, it points toward future research directions. Among them are research to deal with ethical issues, organizational research, knowledge engineering, multi-processor configuration, and internal protocols for applications.

The Internet is changing the way people obtain their information, growing at a faster rate than any previous media outlet. Experts fully expect this growth to continue. The power of the Internet as a new media source has led to research concerning its effect on traditional media (newspaper, television, radio, and magazines) for certain tasks. However, research has yet to focus solely on sports information gathering, which has been identified as the number one reason men between eighteen and thirty-four years of age access the Internet. The purpose of this study was to examine where students get their sports information, to determine whether gathering sports information through the Internet leads to a decrease in gathering sports information through traditional media. / Department of Journalism