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Context-based evaluation of mobile knowledge management systems

Abstract : The technological revolution has been accompanied with the appearance of mobile systems. Mobile Knowledge Management Systems (KMS) which introduce a new style of managing organizations using mobile devices, are used in different contexts of use. So, a context based evaluation of such systems becomes required. Our contribution consists of enhancing the evaluation of mobile KMS that was previously confined to the classifier performance evaluation. In this work, we propose a quality model which ensures a global evaluation of mobile KMS. The proposed quality model evaluates the mobile KMS regarding three dimensions: classifier performance, usability and quality of promotion. It defines a set of criteria and allows their measurement. To validate the proposed approach, an evaluation system has been developed. The results obtained from a series of evaluation results drawing on 20 users show that the continuous change of the context affects the use of a mobile KMS.
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Submitted on : Wednesday, September 8, 2021 - 5:53:55 PM
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Emna Ben Ayed, Christophe Kolski, Houcine Ezzedine. Context-based evaluation of mobile knowledge management systems. 13th International Conference of Computer Systems and Applications (AICCSA), Nov 2016, Agadir, Morocco. 8 p., ⟨10.1109/AICCSA.2016.7945794⟩. ⟨hal-03338580⟩



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