Browsing by Author "Peu, Ephenia"

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    Automated knowledge discovery or integration : a systematic review of data mining in knowledge management
    (Stellenbosch : Stellenbosch University, 2021-12) Peu, Ephenia; Maasdorp, Christiaan H.; Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Information Science.
    ENGLISH SUMMARY : Data mining and knowledge management activities have been crucial for making sense of the vast amounts of data, information, and knowledge created in organisations. Data mining comprises the collection, categorisation, and analysis of data to find useful patterns and establishing solutions based on those patterns. Integrating data mining into knowledge management has had little exploration and attention. The thesis aims at this gap and investigates the role of data mining in the knowledge management literature in both quantitative and qualitative studies between 2000 to 2017. A systematic literature review identified and analysed published articles utilising data mining in knowledge management to reveal the trends in the field. The initial search was conducted on four interdisciplinary databases and an article selection process that involved inclusion and exclusion criteria and a quality assessment using a checklist yielded 54 articles for analysis. Six themes were identified in a thematic analysis where the articles were coded using Atlas.ti software: 1) technical advances improve access to and transformation of knowledge, 2) the knowledge base as the basis for improved product and service development, 3) the use of big data analytics for customer relationship management, 4) the role of data and information assets for decision support, 5) combining automation and human expertise to improve efficiency, and 6) the effectiveness of data mining applications as guided by the specificity of the knowledge management task. Finally, the themes resulting from the coding are mapped on the stages of the knowledge management process. The discovery and capture stages concern data mining techniques for knowledge discovery; the process stage uses the knowledge base and decision support to access knowledge for action; and the share and benefits stage is the domain of learning and capacity development.