Towards the construction of a mechanism supported in fuzzy logic to evaluate the viability of businesses under the canvas model

10.21158/01208160.n84.2018.1921
Published 2018-04-16
Scientific articles

Abstract

                                                                 Rev.esc.adm.neg

This article aims at showing the first functional approximation to the creation of a mechanism which generates a viability indicator of of a producto r a business plan base don the design of Canvas Model as well as using Emis Benchmarking Score as a referential issue suggested by Euromoney Institutional Inversor Company (EMIS), an organization which reveals company financial information. This approximation focuses on the application of fuzzy logic as a tool for analyzing and generating this indicator.
Based on the data and information generated by a fuzzy stated system and experimental figures, a Pearson correlation coefficient was used to measure this behavioral model, resulting in 88 % which

Keywords

Similar Articles

1-10 of 898

Authors

  • Laura Daniela Acosta Contreras

    Universidad Distrital Francisco José de Caldas

  • Andrés Ricardo Barreto López

    Universidad Distrital Francisco José de Caldas

  • Carlos Enrique Montenegro Marín

    Universidad Distrital Francisco José de Caldas

  • Paulo Alonso Gaona García

    Universidad Distrital Francisco José de Caldas

References

Angarita, A. A., Tabares, C. A., & Rios, J. I. (2015). Definición de un modelo de medición de análisis de riesgos de la seguridad de la información aplicando lógica difusa y sistemas basados en el conocimiento. Entre Ciencia e Ingeniería, 9(17), 71-80.

Bolsa de Valores de Colombia BVC. (2017). Bolsa de Valores de Colombia, Un país todos los valores. Retrieved from http://www.bvc.com.co/pps/tibco/portalbvc/Home/Empresas/Ranking+por+Capitalizaci%C3%B3n+Burs%C3%A1til?action=dummy

Cortina, I. B., & Robaina, D. A. (2010). Lógica difusa aplicada a la toma de decisiones. Ingenieria Industrial, 31(1), 1-5. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=zbh&AN=60258575&lang=es&site=ehost-live%5Cnhttp://content.ebscohost.com/ContentServer.asp?T=P&P=AN&K=60258575&S=R&D=zbh&EbscoContent=dGJyMNHr7ESep7E4yOvqOLCmr0yep7FSr6m4SK+WxWXS&ContentCustomer=dGJyMPGrr

Euchner, J., & Ganguly, A. (2014). Business Model Innovation in Practive. Research-Technology Management, o. Jg.(December), 33–40. https://doi.org/10.5437/08956308X5706013

Euromoney Institutional Investor Company EMIS. (2017). EMIS Benchmark. Retrieved from https://www.emis.com/benchmark

Fogel, D., Liu, D., & Keller, J. (2016). Fundamentals of Computational Intelligence. http://dx.doi.org/10.1002/9781119214403

Global Entrepreneurship Monitor GEM. (2015). ¿Qué es GEM? - Global Entrepreneurship Monitor. Retrieved from http://gem.ufm.edu/que-es-gem/

González-Santoyo, F., Gil-Lafuente, A. M., & Flores Romero, B. (2015). Presupuesto base cero, gestión de la tesorería en contexto de incertidumbre (fuzzy logic): técnica y aplicación. Revista Nicolaita de Estudios Económicos, 10(1), 39-52.

Guerra, R. C. C., Smith, K. A., McKenna, A. F., Swan, C., Korte, R., Jordan, S., … MacNeal, R. (2014). Innovation corps for learning: Evidence-based entrepreneurshipTM to improve (STEM) education. In Frontiers in Education Conference (FIE) Proceedings, 2014 IEEE, 1-5. https://doi.org/10.1109/FIE.2014.7044484

Johnson, R., & Kuby, P. (2012). Elementary statistics. (1st ed.). Cengage Learning, Boston: Brooks/Cole

Kelley, D., Singer, S., & Herrington, M. (2015). GEM global report 2015/16. Global Entrepreneurship Monitor, 1–78.

Kenney, J. (1966). Mathematics of statistics (1st ed.). Princeton, NJ: Van Nostrand.

Kolomvatsos, K., Anagnostopoulos, C., & Hadjiefthymiades, S. (2012). A fuzzy logic system for bargaining in information markets. ACM Transactions on Intellent Systems and Technology (TIST), 3(2), 32. https://doi.org/10.1145/2089094.2089108

Marqués, F. (2009). Modelos para la economía y la empresa a través de Excel (1st ed.). San Fernando de Henares: RC Libros.

Osterwalder, A., & Pigneur, Y. (2011). Generación de modelos de negocio. PlanetadeLibros.com, 285. https://doi.org/10.1016/S0737-6782(96)90159-9

Proença, D., Nadali, A., & Borbinha, J. (2015). A Pragmatic Risk Assessment Method Supported by the Business Model Canvas. Proceedings of the 5th International Symposium on Business Modeling and Software Design (BMSD 2015), 156-162. https://doi.org/10.5220/0005886501560162

Rojas López, M. D., Zuluaga Laserna, E., & Valencia Corrales, M. E. (2014). Sistema de inferencia difuso para la valoración de empresas. Revista Ingenierías Universidad de Medellín, 13(24), 90-108.

Rojas, M., López, D., & Rincón, C. (2012). Aplicación del método cybersin con lógica difusa en un sistema de control de gestión. Revista Ingenierías Universidad de Medellín, 11(20), 153-164. Retrieved from

http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242012000100013&lng=en&tlng=

Romero, M. C., Villalobos, J., & Sanchez, M. (2015). Simulating the business model canvas using system dynamics. Computing Colombian Conference (10CCC), 2015 10th, 527-534. IEEE. Retrieved from https://doi.org/10.1109/ColumbianCC.2015.7333469

Zadeh, L. A. (2008). Is there a need for fuzzy logic? Information Sciences, 178(13), 2751-2779. https://doi.org/10.1016/j.ins.2008.02.012

Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information Sciences, 8(3), 199-249. Retrieved from http://dx.doi.org/10.1016/0020-0255(75)90036-5

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. Retrieved from https://doi.org/10.1016/S0019-9958(65)90241-X

Statistics

Abstract
0
PDF accesses
0

Dimensions

PlumX

Downloads

Download data is not yet available.