Search for dissertations about: "information systems human resource management"
Showing result 1 - 5 of 26 swedish dissertations containing the words information systems human resource management.
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1. Ontology for Information Systems (04IS) Design Methodology : Conceptualizing, Designing and Representing Domain Ontologies
Abstract : Globalization has opened new frontiers for business enterprises and human communication. There is an information explosion that necessitates huge amounts of information to be speedily processed and acted upon. READ MORE
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2. Designing an Information System for Open Innovation – Bridging the Gap between Individual and Organisational Creativity
Abstract : History shows that those companies that continue to invest in their innovative capabilities during tough economic times are often those that prosper when growth returns. Recently, information systems (IS) have been harnessed to support innovation. Even with IS support, innovation campaigns and suggestion management systems often end up in failure. READ MORE
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3. Beyond Waste Management : Challenges to Sustainable Global Physical Resource Management
Abstract : Current physical resource management (PRM) was investigated in a global perspective in this thesis, to gain a deeper understanding of its implications in a sustainability perspective. In particular, the main challenges to the current PRM system and the kinds of systemic changes needed for sustainable PRM were examined. READ MORE
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4. Designing Digital Resourcing
Abstract : Digital innovation has become imperative for organizational survival and is increasingly contributing to the growth of national wealth. A central element of digital innovation, brought into light in this dissertation, is digital resourc-ing. READ MORE
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5. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information
Abstract : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. READ MORE