@article{oufkir2017performance,
  title = {Performance Measurement for Knowledge Management:  Designing a Reference Model},
  author = {Latifa Oufkir and Mounia Fredj and Ismail Kassou},
  year = 2017,
  url = {https://ibimapublishing.com/articles/JOKM/2017/733562/},
  journal = {Journal of Organizational Knowledge Management},
  volume = 2017,
  pages = 13,
  doi = 10.5171/2017.733562,
  abstract = {Knowledge Management (KM) projects are socio-technical systems that enable knowledge activities and ensure that the right knowledge gets to the right person at the right time. The crucial role of KM in achieving companies’ organizational objectives generates a great interest in KM projects and an increasing trend in KM adoption. As the number of KM applications is growing, there is a focus shift towards measuring performance of such KM projects in order to rationalize their usage. In fact, there have been several models developed for KM performance measurement in the literature. While most of these models address mainly the performance of the whole KM of the organization and do not assess each KM project separately. Other measurement models are tailored   for a specific KM project. In this work, we propose a generic KM performance measurement model fitting any kind of KM projects. This model is built on existing KM models literature and enhanced with theoretical findings. In particular, it is composed of three interrelated sub-models: KM processes, socio-technical influencing KM factors and KM key performance indicators. Moreover, it follows the reference modeling design process in view of producing a high quality model.},
  keywords = {knowledge management model; performance measurement; reference model;},
  note = Article ID: 733562
}