Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Impelling research productivity and impact through collaboration: a scientometric case study of knowledge management(Palgrave Macmillan, 2017-07-11) Ceballos, Hector G.; Fangmeyer Jr, James Andrew; Galeano Sánchez, Nathalíe M.; Juarez, Erika; Cantú Ortíz, Francisco J.; Tecnologico de MonterreyA case study for impelling university research productivity and impact through collaboration is presented. Scientometric results support the hypothesis that a knowledge management model increased research collaboration and thereby boosted a university’s number of publications and citations. Results come from fifteen years of data at a Mexican university with 2400 researchers who produced 24,000 works in fifteen research disciplines. These data are treated with social network visualizations and algorithms to identify patterns of collaboration and clustering, as well as with normalizations to make disciplines comparable and to verify increasing citation impact. The knowledge management model implemented in the study may be a costeffective way for universities to intensify collaboration and improve research performance.
- A multiagent knowledge and information network approach for managing research assets(ELSEVIER, 2010-07) Ceballos, Hector G; Cantu, Francisco J; Instituto Tecnológico y de Estudios Superiores de MonterreyWe describe a knowledge and information network approach for managing research assets in a knowledge-oriented organization using a multiagent system. The purpose of the approach is to provide decision makers a knowledge management framework to assist them in generating benefits from the knowledge assets developed by the research groups in a knowledge institution. The research assets under consideration are of three types: research products, intellectual capital and research programs. Research products include publications of various kinds, such as journal articles, research-based books, patents, technology licensing, trademarks, incubation of technology-based startup companies and others. Intellectual capital consists of the talent and expertise of research staff, such as professors, students and researchers. Research programs include academic curricula, research units, research infrastructure, and business incubators. The approach is supported by an intelligent platform that contains an information system, a multiagent-based system, a knowledge management system and a knowledge-information interpreter that coordinate repositories, domain ontologies and databases for handling the various types of research assets. The system provides a means for distributing existing research assets both within the organization and beyond, a variety of research reports, online consultations, a search engine, web services and data mining facilities for knowledge extraction. The knowledge and information generated by the system guide managers in defining strategies on competitiveness, for example, rankings, benchmarking, intellectual property and incubation of technology-based spin offs. The system has been operational at Tecnológico de Monterrey since August 2004, and has proved useful for both acquiring knowledge of research capabilities and for stimulating entrepreneurial science initiatives.
- A knowledge-based entrepreneurial approach for business intelligence in strategic technologies: Bio-MEMS(2005-08-15) Cantu, Francisco J; Mora, Silvia P; Garcia, Aldo; Ceballos, Hector; Martinez, Sergio O; Instituto Tecnológico y de Estudios Superiores de MonterreyWe propose a knowledge-based entrepreneurial (KBE) approach for business intelligence in strategic technologies at industrial sectors. The KBE approach is at the convergence of business intelligence and knowledge management and is used for advising users in business decisions and potential risks. Our approach comprises both a technology roadmap model as well as a knowledge-based entrepreneurial portal for various technologies. We use the Biological-Micro-Electrical-and- Mechanical-Systems industry (Bio-MEMS) to illustrate the approach. The technology roadmap model identifies the main actors, defines their roles and specifies the issues to be addressed. It handles information about main products, market trends, companies, research centers, application domains, products, standardization, and intellectual properties issues. The portal provides knowledge about the main actors through automation facilities based on digital libraries, searching and knowledge extraction from databases, data-ware houses and the Web. We explain how the KBE is helping Bio-MEMS users in business analysis.