dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:25:56Z
dc.date.accessioned2022-10-05T13:17:45Z
dc.date.available2014-05-20T13:25:56Z
dc.date.available2022-10-05T13:17:45Z
dc.date.created2014-05-20T13:25:56Z
dc.date.issued2010-01-01
dc.identifierProceedings of The 11th European Conference on Knowledge Management, Vols 1 and 2. Nr Reading: Academic Conferences Ltd, p. 98-106, 2010.
dc.identifierhttp://hdl.handle.net/11449/8278
dc.identifierWOS:000284261400012
dc.identifier3078055042318066
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3884914
dc.description.abstractMuch has been researched and discussed in the importance played by knowledge in organizations. We are witnessing the establishment of the knowledge economy, but this "new economy" brings in itself a whole complex system of metrics and evaluations, and cannot be dissociated from it. Due to its importance, the initiatives of knowledge management must be continually assessed on their progress in order to verify whether they are moving towards achieving the goals of success. Thus, good measurement practices should include not only how the organization quantifies its knowledge capital, but also how resources are allocated to supply their growth. Thinking about the aspects listed above, this paper presents an approach to a model for Knowledge extraction using an ERP system, suggesting the establishment of a set of indicators for assessing organizational performance. The objective is to evaluate the implementation of projects of knowledge management and thus observe the general development of the organization.
dc.languageeng
dc.publisherAcademic Conferences Ltd
dc.relationProceedings of The 11th European Conference on Knowledge Management, Vols 1 and 2
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectknowledge extraction
dc.subjectknowledge assets
dc.subjectknowledge management
dc.subjectknowledge management systems
dc.subjectsystem performance evaluation
dc.titleA Proposal for System Performance Evaluation for an ERP Knowledge Extraction Model
dc.typeResumo


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