Search for dissertations about: "data and knowledge management"

Showing result 1 - 5 of 811 swedish dissertations containing the words data and knowledge management.

  2. 1. Strategic Planning of Knowledge Management Systems : A Problem Exploration Approach

    Author : Jan Aidemark; Harald Kjellin; Peter Révay; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap; Knowledge management; Informatics; computer and systems science; Informatik; data- och systemvetenskap; Information Systems; Informatik;

    Abstract : Knowledge management (KM) is focused on the problems and opportunities of using organizational knowledge as a resource. Information systems that are used to support KM processes are called knowledge management systems (KMS). READ MORE

  4. 2. Data-driven quality management using explainable machine learning and adaptive control limits

    Author : Niklas Fries; Patrik Rydén; Jun Yu; Rebecka Jörnsten; Umeå universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; quality management; machine learning; local explanation methods; process adjustment policies; simulation; matematisk statistik; Mathematical Statistics; data science; data science;

    Abstract : In industrial applications, the objective of statistical quality management is to achieve quality guarantees through the efficient and effective application of statistical methods. Historically, quality management has been characterized by a systematic monitoring of critical quality characteristics, accompanied by manual and experience-based root cause analysis in case of an observed decline in quality. READ MORE

  5. 3. Operationalizing Industrial Ecology in the Waste Sector : Roles and tactics for circular value innovation

    Author : Graham Aid; Nils Brandt; Monika Olsson; Maria Malmström; Leenard Baas; Stefan Anderberg; Mats Eklund; Anna Björklund; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; SOCIAL SCIENCES;

    Abstract : The take-make-waste approach to resource management in human production and consumption systems is contributing to a variety of environmental and social problems worldwide. Additionally, as the world’s population and affluence increase, so do the negative impacts of poor resource management. READ MORE

  6. 4. Scalability and Semantic Sustainability in Electronic Health Record Systems

    Author : Erik Sundvall; Håkan Örman; Magnus Borga; Hans Åhlfeldt; Dipak Kalra; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; MEDICAL AND HEALTH SCIENCES;

    Abstract : This work is a small contribution to the greater goal of making software systems used in healthcare more useful and sustainable. To come closer to that goal, health record data will need to be more computable and easier to exchange between systems. READ MORE

  7. 5. IT-supported Knowledge Repositories : Increasing their Usefulness by Supporting Knowledge Capture

    Author : Lena Aggestam; Benkt Wangler; Anne Persson; Murray Jennex; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURVETENSKAP; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap; Computer science; Datavetenskap; Teknik; Technology;

    Abstract : Organizations use various resources to achieve business objectives, and for financial gain. In modern business, knowledge is a critical resource, and organizations cannot afford not to manage it. Knowledge Management (KM) aims to support learning and to create value for the organization. READ MORE