Estructuración de un modelo de gestión eficiente para AJ Colombia SAS

En la mayoría de los países, los negocios familiares representan un alto porcentaje de todas las empresas constituidas. Colombia no es la excepción a este comportamiento, donde las empresas familiares representan el 70% de todas las compañías, según la Superintendencia de Sociedades, en las que se incluyen PYMES y grandes grupos económicos. Este trabajo de grado tiene como objetivo estructurar un modelo de gestión eficiente para la empresa AJ Colombia S.A.S. una empresa mediana que se ha venido estructurando de manera empírica, por lo que tras el análisis de sus procesos encontramos posibles mejoras usando herramientas como el Cambio Estratégico y la Reingeniería, además de la generación de valor por medio de los Inventarios.

Observatorio del tratado de libre comercio entre Colombia y la Unión Europea (Irlanda, Italia, Letonia, Lituania y Luxemburgo): Estrategia de Internacionalización para las PYMES en Colombia

Este trabajo expone algunas de las potencialidades con las que Colombia cuenta en el mercado de la Unión Europea, más exactamente en los países de Irlanda, Italia, Letonia, Lituania y Luxemburgo. Lo anterior tomando como referencia las cifras de exportaciones de Colombia hacia estos países durante los últimos 4 años, así como las importaciones de cada uno de los países provenientes de todo el mundo. Este análisis permite conocer las oportunidades que las Pymes Colombianas tienen frente a cada uno de los mercados de los países anteriormente mencionados, con el fin de proporcionar información pertinente y útil para futuras acciones y análisis. Cada país es analizado en cuanto a las cifras registradas en la base de datos WISERTrade para la operación comercial de importación de todos los bienes para los años 2012 a 2015 (acumulado). Esto permite hallar tendencias y el comportamiento del mercado para evidenciar oportunidades de penetración en dichos mercados.

SME’s Alliance Dynamics in the Mobile Marketing Industry

This paper presents a case study of the two similar sized, new, technology-based firms acting as alliance partners in the Mobile commerce industry. The analysis describes how the alliance dynamics in our case study relate to seminal research in the field of business alliance formation. Contrary to the established predictions we find that the negative influence on alliance performance described as a consequence of the dissolved routinized alliance pattern by seminal authors is not present. At the same time, the case study shows that internalization of complementary assets does not by necessity result in dissolution of the business alliance as argued from a resource and competence based perspective.

An entropy-based financial decision support system (e-FDSS) for project analysis in construction SMEs

Uncertainty contributes a major part in the accuracy of a decision-making process while its inconsistency is always difficult to be solved by existing decision-making tools. Entropy has been proved to be useful to evaluate the inconsistency of uncertainty among different respondents. The study demonstrates an entropy-based financial decision support system called e-FDSS. This integrated system provides decision support to evaluate attributes (funding options and multiple risks) available in projects. Fuzzy logic theory is included in the system to deal with the qualitative aspect of these options and risks. An adaptive genetic algorithm (AGA) is also employed to solve the decision algorithm in the system in order to provide optimal and consistent rates to these attributes. Seven simplified and parallel projects from a Hong Kong construction small and medium enterprise (SME) were assessed to evaluate the system. The result shows that the system calculates risk adjusted discount rates (RADR) of projects in an objective way. These rates discount project cash flow impartially. Inconsistency of uncertainty is also successfully evaluated by the use of the entropy method. Finally, the system identifies the favourable funding options that are managed by a scheme called SME Loan Guarantee Scheme (SGS). Based on these results, resource allocation could then be optimized and the best time to start a new project could also be identified throughout the overall project life cycle.

Entropic risk analysis by a high level decision support system (e-FDSS) for construction SMEs

The method of entropy has been useful in evaluating inconsistency on human judgments. This paper illustrates an entropy-based decision support system called e-FDSS to the solution of multicriterion risk and decision analysis in projects of construction small and medium enterprises (SMEs). It is optimized and solved by fuzzy logic, entropy, and genetic algorithms. A case study demonstrated the use of entropy in e-FDSS on analyzing multiple risk criteria in the predevelopment stage of SME projects. Survey data studying the degree of impact of selected project risk criteria on different projects were input into the system in order to evaluate the preidentified project risks in an impartial environment. Without taking into account the amount of uncertainty embedded in the evaluation process; the results showed that all decision vectors are indeed full of bias and the deviations of decisions are finally quantified providing a more objective decision and risk assessment profile to the stakeholders of projects in order to search and screen the most profitable projects.