@conference { ISI:000389806000017,
	title = {Knowledge Management Performance Measurement: A Generic Framework},
	booktitle = {DATABASES AND INFORMATION SYSTEMS, DB\&IS 2016},
	series = {Communications in Computer and Information Science},
	volume = {615},
	year = {2016},
	note = {12th International Baltic Conference on Databases and Information Systems (DB and IS), Riga, LATVIA, JUL 04-06, 2016},
	pages = {242-254},
	publisher = {Univ Latvia, Fac Comp; Exigen Serv Latvia; IEEE; Springer},
	organization = {Univ Latvia, Fac Comp; Exigen Serv Latvia; IEEE; Springer},
	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.},
	isbn = {978-3-319-40180-5; 978-3-319-40179-9},
	issn = {1865-0929},
	doi = {10.1007/978-3-319-40180-5\_17},
	author = {Oufkir, Latifa and Fredj, Mounia and Kassou, Ismail},
	editor = {Arnicans, G and Arnicane, V and Borzovs, J and Niedrite, L}
}
