Purpose
This paper aims to propose a model for measuring the performance of knowledge management (KM) projects in enterprises. No such model has been proposed in the literature thus far. The activities, factors and outcomes of KM are the main constructs of the model. Their operationalization and interactions are investigated.
Design/methodology/approach
A survey was conducted of 120 respondents from SME firms in Morocco. A structural equation modeling (SEM) technique called partial least squares (PLS) was used to assess the validity of the constructs and verify the hypotheses. A performance index for KM projects was derived from the model constructs.
Findings
The results support the model designed for KM activities and related interactions. The effects of KM activities on its outcomes are significant as well. The results also confirm that KM factors are predictors of KM activities and that the effects of these are significant. Furthermore, a performance importance analysis (importance performance map analysis [IPMA]) was performed on the data to expand the results of the PLS-SEM by identifying under-performing KM drivers that require managerial action.
Originality/value
This paper is one of the first to propose a generic performance measurement model for KM projects. Additionally, it is a pioneering study in the use of IPMA for KM performance measurement.
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'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.
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