Auflistung nach Autor:in "Chalmeta, Ricardo"
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- KonferenzbeitragDefinition of target knowledge in virtual enterprises(Business Information Systems – 9th International Conference on Business Information Systems (BIS 2006), 2006) Grangel, Reyes; Chalmeta, Ricardo; Campos, CristinaA virtual enterprise is a new organisational paradigm which requires novel technological approaches to managing data, information and knowledge in an efficient way. Knowledge management systems have been adopted as a solution to deal with enterprise systems which generate a huge amount of data, and also need to manage information in an appropriate manner and to share knowledge for decision-making. However, these systems are even more essential in the context of virtual enterprises, where business success is based on interoperability achieved by means of ICT, and therefore there is a need for a common conceptual framework that enables partners in the virtual enterprise to share data, information, and knowledge. Thus, the implementation of this kind of technologies in virtual enterprises demands new, more specific requirements. In this paper, we propose a conceptual framework that introduces the concept of target knowledge as a first step for implementing efficient knowledge management systems, and for further knowledge representation in the context of virtual enterprises. Finally, a classification of target knowledge defined taking into account several enterprise dimensions is provided.
- ZeitschriftenartikelMethodology for the Implementation of Knowledge Management Systems 2.0(Business & Information Systems Engineering: Vol. 61, No. 2, 2019) Orenga-Roglá, Sergio; Chalmeta, RicardoWeb 2.0 and Big Data tools can be used to develop knowledge management systems based on facilitating the participation and collaboration of people in order to enhance knowledge. The paper presents a methodology that can help organizations with the use of Web 2.0 and Big Data tools to discover, gather, manage and apply their knowledge by making the process of implementing a knowledge management system faster and simpler. First, an initial version of the methodology was developed and it was then applied to an oil and gas company in order to analyze and refine it. The results obtained show the effectiveness of the methodology, since it helped this company to carry out the implementation quickly and effectively, thereby allowing the company to gain the maximum benefits from existing knowledge.