Classification of micro,small and medium enterprises (M-SME) based on their available levels of knowledge |
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| Affiliation: | 1. National Autonomous University of Mexico (UNAM), Mexico;2. National Committee of Productivity and Technological Innovation (COMPITE), Mexico;1. Posgrado del Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P. 62490, Cuernavaca, Morelos, Mexico;2. Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P. 62490, Cuernavaca, Morelos, Mexico;3. CONACYT-Instituto de Ingeniería-UNAM, Ciudad de México, Mexico;4. CONACYT-Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P. 62490, Cuernavaca, Morelos, Mexico;5. Centro de Investigación en Ingeniería y Ciencias Aplicadas-Universidad Autónoma del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, C.P. 62209, Cuernavaca, Morelos, Mexico;1. Centro Regional de Formación Docente e Investigación Educativa del Estado de Sonora, 83165 Hermosillo, Sonora, Mexico;2. División de Ingeniería y Tecnología, Universidad de la Sierra, 84560 Moctezuma, Sonora, Mexico;3. Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, 78000 San Luis Potosí, Mexico;4. Instituto de Física, Universidad Autónoma de San Luis Potosí, 78000 San Luis Potosí, Mexico;5. Instituto de Física, Universidad Nacional Autónoma de México, Apdo. Postal 20-364, 01000 México, D.F., Mexico;6. CNR-ICCOM, Consiglio Nazionale delle Ricerche, v. G. Moruzzi 1, Pisa 56124, Italy;7. Departamento de Investigación en Física, Universidad de Sonora, Blvd. Luis Encinas & Rosales, 83000 Hermosillo, Sonora, Mexico;1. Facultad de Ingeniería Mecánica y Eléctrica, Universidad de Colima, 28950 Coquimatlán Colima, Mexico;2. Departamento de Control Automático, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, 07360 Gustavo A. Madero DF, Mexico;3. Instituto de Ingeniería, Universidad Nacional Autónoma de México, 04510 Coyoacán DF, Mexico;1. Graduate Program in Computer Science and Engineering, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico;2. Department of Computer Science, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, 04510, Mexico;1. Departamento de Física Matemática, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, C.P. 04510, México D.F., Mexico;2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina;3. Centro de Investigación en Informática para la Ingeniería, Universidad Tecnológica Nacional – Facultad Regional Córdoba, Maestro López esq. Cruz Roja Argentina, X5016ZAA Córdoba, Argentina |
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| Abstract: | ![]()
This paper proposes a novel and practical method of classifying micro, small and medium enterprises (M-SME) based on their available levels of knowledge. This classification considers that the specific problems that dominate a company’s operations are related to the level of knowledge available. Therefore, identifying the dominant problem groups facing the company can enable an estimate of the level of knowledge available in the enterprise.Data from 2698 Mexican M-SMEs are used to identify operational problems. The main problem groups are obtained through a cluster analysis. The proposed classification consists of three levels of knowledge based on the interpretation of the dominant problem groups in each enterprise. Each of the 2698 Mexican M-SME are classified by a discriminant analysis.Nearly half of the M-SME are classified as having a lower level of available knowledge, and only 10% are classified with the highest level. No difference is observed between the size of the company and the level of available knowledge. This means that growth in the number of employees and sales of M-SMEs is not necessarily accompanied by an accumulation of knowledge that companies can use to improve their operations. |
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| Keywords: | SME classification SME taxonomy Knowledge available Cluster analysis Discriminant analysis |
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