@article {Oufkir2016242,
	title = {Knowledge management performance measurement: A generic framework},
	journal = {Communications in Computer and Information Science},
	volume = {615},
	year = {2016},
	note = {cited By 0},
	pages = {242-254},
	abstract = {This theoretical article aims to propose a generic framework for measuring performance of Knowledge Management (KM) projects based on critical literature review. The proposed framework fills the existing gap on KM performance measurement in two points: (i) it provides a generic tool that is able to assess all kinds of KM project as well as the overall organization KM, (ii) it assesses KM projects according to KM objectives in a generic manner. Our framework (GKMPM) relies on a process reference model that provides a KM common understanding in a process based view. It is based on a goal-oriented measurement approach and considers that KM performance dimensions are stakeholder{\textquoteright}s objectives. The framework application follows a procedural approach that begins with the KM project modelling, followed by the objectives prioritization. The next step consists of collecting and analysing data for pre-designed measures, and produces a set of key performance indicators (KPIs) related to the KM project processes and in accordance with its objectives. {\textcopyright} Springer International Publishing Switzerland 2016.},
	doi = {10.1007/978-3-319-40180-5_17},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979022041\&doi=10.1007\%2f978-3-319-40180-5_17\&partnerID=40\&md5=7353ebf3c020ba8a9bc9458832afda06},
	author = {Oufkir, L. and Fredj, M. and Kassou, I.}
}
