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Performance measurement has been widely acknowledged as a useful management tool for decades. Most of the previous research has however regarded performance measurement as being of static nature, and not as an evolving process. This thesis sets out to research how the performance measurement in a Case Company can be developed to be dynamic in order to evolve with both the external and internal changes. The research method used in this thesis is based on design science and the research is executed as a single case study. The research is of qualitative nature, where the empirical part includes interviews, meetings, background material and observations. The body of knowledge builds on journals and books related to the subject, which introduces the main characters of performance measurement. A contrast analysis between the body of knowledge and empirical part was conducted in order to identify development areas. And based on the results from the contrast analysis, the research provides recommendations and guidelines on how the Case Company should develop their performance measurement system into a dynamic nature. The overall findings showed that before dynamic performance measurement can be realized, the underlying foundation performance measurement builds on needs to be addressed. By implementing single and double learning loops with performance measurement, the system is enabled to answer to both internal and external changes. And it is recognized that it is possible to achieve dynamic performance measurement in the Case Company with a system that evolves with the changes.