Business classification: exploring management as an art, the mathematical school, and systems theory

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作者

ANGEL RAFAEL GUILLERMO FELIX¹ , JOSE GABRIEL PEREZ GOMEZ¹ , JOSE ALBERTO SANCHEZ LOPEZ¹

1. Tecnológico Nacional de México

会议/活动

General Theory of Administration, September 2023 (虚拟会议)

海报摘要

The poster addresses the development of the mathematical stream in administration from Archimedes to linear programming in the 1960s, emphasizing its influence on administrative decisions. It defines administration as a social discipline that utilizes systematic rules to lead and coordinate efficiently. The study focuses on the "General Theory of Administration" and relies on secondary sources such as "Google Scholar" and "ScienceDirect." It examines business classification according to Isaac Guzmán's definition and highlights an article on classification through machine learning. The poster underscores the significance of leadership, the mathematical stream, systems theory, and business classification in management, concluding that these elements interconnect to tackle challenges and achieve sustainable success in business administration.

关键词

Administration, Systems theory, Machine learning, Mathematical stream, Business classification, Decision-making

研究领域

Education, Humanities and Social Sciences, Library and Information Science, Political Science, Business, Economics and Finance

参考文献

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9. Thomé, H. (2008). Turismo rural y campesinado, una aproximación social desde la ecología, la cultura y la economía. Convergencia, 15(47), 237–261. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-14352008000200009
10. Torres Fernández, C. D., Zaldívar Martínez, P., & Enriquez García, F. (2013). Turismo Alternativo y Educación. El Periplo Sustentable, 24. UNAM. (2000). Técnicas de Investigación de Campo. https://uapa.cuaieed.unam.mx/sites/default/files/minisite/static/0fecd888-6a3f-4b31-b704-a2d94e3eed72/U000308176506/index.html

基金

暂无数据

补充材料

暂无数据

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

知识共享许可协议

Copyright © 2023 GUILLERMO FELIX et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.