Abstract
Given the importance of micro, small and medium-sized enterprises (MSMEs) in Colombia, both in terms of the number of enterprises and the generation of employment, it is important to know their nature, as well as the main determinants of their financial performance. In this sense, this paper aims to provide relevant information for the formulation of strategies, programs and public policies that promote practices within companies and thus improve the performance of this segment of organizations.
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References
Alvarez, A.T.V., Carrasco, L.V.M., y Córdova, Z.A.F.: Estrategia organizacional y la rentabilidad en em-presas del sector automotriz de la Zona Central del Ecuador. Revista Eniac Pesquisa, 5(2), 181–192 (2016). https://doi.org/10.22567/rep.v5i2.399
Alsaaty, F., Zenebe, A., Sengupta, S.: The Influence of Some Macroeconomic Factors on the Growth of Micro Firms in the United States. Available at SSRN: https://ssrn.com/abstract=2775339 or http://dx.doi.org/10.2139/ssrn.2775339. Accessed on 12 June 2017
Bechara, J.E.A., Cruz, J.C.T., Ceballos, H.V.: Predicciones de modelos econométricos y redes neuronales: el caso de la acción de SURAMINV. Semestre Económico Universidad de Medellín, 12(25), 95–109 (2009). Available from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S012063462009000300007&lng=en&nrm=i-so. Accessed on 07 Aug 2017
Bizarrón, M.E.B., Palacios, E.M.C., Bobadilla, L.I.Z., García, N.L.A.: El desarrollo de la Mipyme y la vinculación universitaria en Puerto Vallarta, Jalisco. Eur. Sci. J. ESJ 10(19) (2014). Available at http://www.eujournal.org/index.php/esj/article/view/3788/3604. Accessed on 18 June 2017
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: 1994. Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, pp. 487–499 (1994)
Guzmán, M.G., Guzmán, M.M., Fuentes, M.R.: Análisis del uso de las TIC en las pymes de Guayaquil en el año 2015. Revista OIKOS 20(41), 109–119 (2016). Available at https://dialnet.unirioja.es/descarga/articulo/5841091.pdf, ISSN 0718–4670. Accessed on 13 May 2017
Hahsler, M., Karpienko, R.: Visualizing association rules in hierarchical groups. J. Bus. Econ. 87, 317–335 (2017)
Silverstein, C., Brin, S., Motwani, R., Ullman, J.: Scalable techniques for mining causal structures. Data Min. Knowl. Discovery 4(2–3), 163–192 (2000)
Amelec, V., Carmen, V.: Relationship between variables of performance social and financial of microfinance institutions. Adv. Sci. Lett. 21(6), 1931–1934 (2015)
Viloria, A., Lezama, O.B.P.: Improvements for determining the number of clusters in k-means for innovation databases in SMEs. Procedia Comput. Sci. 151, 1201–1206 (2019)
Kamatkar, S.J., Kamble, A., Viloria, A., Hernández-Fernandez, L., Cali, E.G.: Database performance tuning and query optimization. In: International Conference on Data Mining and Big Data, pp. 3–11. Springer, Cham (2018)
Viloria, A., et al.: Integration of data mining techniques to PostgreSQL database manager system. Procedia Comput. Sci. 155, 575–580 (2019)
Lanzarini, L., Villa Monte, A., Aquino, G., De Giusti, A.: Obtaining classification rules using lvqPSO advances in swarm and computational intelligence. In: Lecture Notes in Computer Science, vol. 6433, pp. 183–193. Springer, Berlin (2015)
Amelec, V., Carmen, V.: Validation of a model for productivity evaluation for microfinance institutions. Adv. Sci. Lett. 21(5), 1610–1614 (2015)
Jiménez, L.R.G., Rodas, M.F.G., Quiroz, M.Q.G.: Opción de Financiamiento a Pymes ubicadas en la Provincia del Guayas enfocadas en la Búsqueda de Capitales mediante la Emisión de Títulos a través del Mercado de Valores Ecuatoriano. Empresarial 10(40), 21–30 (2017). Available at https://dialnet.unirioja.es/descarga/articulo/5924579.pdf, ISSN No. 1390-3748. Accessed on 18 May 2017
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Silva, J. et al. (2020). Measuring the Financial Performance of MSMEs Through Artificial Neural Networks. In: Bindhu, V., Chen, J., Tavares, J. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 637. Springer, Singapore. https://doi.org/10.1007/978-981-15-2612-1_17
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DOI: https://doi.org/10.1007/978-981-15-2612-1_17
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