Knowledge is a competitive advantage for companies. Knowledge Management helps to keep this competitiveness. Universities face with challenges in research, innovation and international competitiveness. The purpose of this paper includes studying Knowledge Management Models, and Innovation Models apply to Research Groups of Universities, through an analysis of relation in inter-organizational level. Some researchers and leaders of research groups participated in a survey about knowledge management and innovation. Here we show the relationship between knowledge management, innovation and research, including processes and operations performed by universities around these. We organize the results in three dimensions: Knowledge Management perception, the relationship between Knowledge Management and Innovation, and Strategic Knowledge organization. Too, we identify a generality of good practices, challenges, and limitations on Research Groups for Knowledge Management.

ResumenExisten diferentes lenguajes de programación de Controladores Lógicos Programables (PLC), el más común de ellos es el lenguaje de programación gráfico para autómatas programables llamado LADDER. Sin embargo, el lenguaje LADDER no es amigable en programas que requieren de cálculos de ecuaciones matemáticas, por ejemplo, el cálculo del volumen de un tanque en un control de nivel. Lenguajes alternativos como el Lenguaje de Control Estructurado (SCL) son menos estudiados dada su complejidad y poca popularidad en la pequeña y mediana industria. En este artículo se compara los resultados del lenguaje de programación LADDER y el lenguaje SCL generado mediante la herramienta Simulink® PLC Coder de MATLAB® tomando como caso de estudio el cálculo de volumen de un tanque. Finalmente, este trabajo demuestra que la herramienta Simulink® PLC Coder presenta una alternativa de desarrollo más eficiente.

Cloud Computing (CC) is a computing infrastructure paradigm that provides elasticity to software or hardware solutions on organizations, and is more powerful than traditional architectures for storage, processing, and distribution of data. Meanwhile, Enterprise Architecture (EA) describes organization's structure and allows assurance its objectives. Recent studies face to integration of EA with CC convergence analysis between EA and CC is required to facilitate true integration in organization. This paper aims contribute to reduce the EA and CC gap. Analysis of importance and benefits of EA-CC integrated approach is presented, beside a proposed EA-CC framework that can be extended to corporate governance models. Phases, activities, artifacts and deliverables from framework are described.

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