@article {Oufkir201872,
	title = {Measuring knowledge management project performance},
	journal = {Advances in Intelligent Systems and Computing},
	volume = {745},
	year = {2018},
	pages = {72-81},
	doi = {10.1007/978-3-319-77703-0_7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045131625\&doi=10.1007\%2f978-3-319-77703-0_7\&partnerID=40\&md5=5e015ad9e8b84a851af4a4705e149472},
	author = {Oufkir, L. and Kassou, I.}
}
@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.}
}
@conference {Oufkir20162744,
	title = {Towards a reference model for Knowledge Management performance measurement},
	booktitle = {Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016},
	year = {2016},
	note = {cited By 0},
	pages = {2744-2755},
	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 growing number of KM applications confirms the need for a performance measurement model able to assess the diversity of KM initiatives in order to rationalize their usage. To the best of our knowledge, a generic KM model for performance measurement fitting any kind of KM projects is missing in the literature. Instead, existing approaches are specific to a particular KM project or assess the overall KM of the organization. In this paper, we propose a KM model for performance measurement that is built on existing KM models literature and enhanced with theoretical findings. It also follows the reference modelling design process in view of producing a high quality model. Copyright {\textcopyright} 2016 International Business Information Management Association},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984611689\&partnerID=40\&md5=6ee42ddfe7a2a3ce0b1f2f99f09aa05b},
	author = {Oufkir, L. and Fredj, M. and Kassou, I.}
}
