Implementation and impact of Artificial Intelligence on business growth in Paraguay
Keywords:
Artificial intelligence, goods and services, business, efficiencyAbstract
The objective of this study is to analyze the implementation and impact of Artificial Intelligence (AI) on business growth in Paraguay, 2023. It was based on a qualitative approach of non-experimental design, with a cross-sectional and descriptive section. 10 in-depth interviews (6 business owners and 4 with administrative positions) of 30 minutes each were carried out, face-to-face and by trial in 2023. The inclusion criteria were: active experts in the various business areas and with voluntary participation . The only exclusion criterion was professionals not active in the world of work. The most relevant results were: 1. AI can increase efficiency and reduce operating costs in the long term but a significant initial investment is needed in terms of infrastructure, hiring of specialized personnel and training and, 2. AI can contribute to the administrative decision making by analyzing large amounts of data and providing useful information, improving the efficiency and accuracy of the decisions made. It is concluded that AI has a significant positive impact on different business areas and increases efficiency in repetitive processes and production.
References
Acemoglu, D., Anderson, G. W., Beede, D. N., Buffington, C., Childress, E. E.,
Dinlersoz, E., Foster, L. S., Goldschlag, N., Haltiwanger, J. C., Kroff, Z., Restrepo, P., & Zolas, N. (2022). Automation and the workforce: A firm-level view from the 2019 Annual Business Survey. National Bureau of Economic Research. https://www.nber.org/books-and-chapters/technology-productivity-and-economic-growth/automation-and-workforce-firm-level-view-2019-annual-business-survey
Amatucci, C., & Mollo, G. (2022). Sustainable growth and the role of artificial intelligence
in improving circular economy. Law & Digital Technologies, 2(1), 7-15. https://elibrary.ru/item.asp?id=49504694
Bai, S. (2011). Artificial intelligence technologies in business and engineering.
International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011). https://doi.org/10.1049/CP.2011.0486
Bérubé, M., Giannelia, T., & Vial, G. (2021). Barriers to the Implementation of AI in
Organizations: Findings from a Delphi Study
Carvajal, L. F. (2023). ¿Cómo aprovechar la inteligencia artificial en su empresa? La
Opinión, Cúcuta. https://thelogisticsworld.com/innovacion/como-aprovechar-al-maximo-la-inteligencia-artificial-en-una-empresa/
Equipo de Expertos de Ciencia y Tecnología. (2021). Inteligencia artificial, ventajas y
desventajas. Universidad Internacional de Valencia. https://www.universidadviu.com/es/actualidad/nuestros-expertos/inteligencia-artificial-ventajas-y-desventajas
Hamm, P., & Klesel, M. (2021). Success Factors for the Adoption of Artificial
Intelligence in Organizations: A Literature Review. In AMCIS.
Murrieta, J. P. (2023). La inteligencia artificial como herramienta para el desarrollo de
tu negocio. La Razón de México. https://www.razon.com.mx/opinion/columnas/iraltus-l/inteligencia-artificial-herramienta-desarrollo-negocio-527050
Nuñez Rocha, E. R. A. (2022). La inteligencia artificial en los negocios.[Ensayo,
Real Academia Española (RAE) (s.f.). inteligencia | Definición |
Diccionario de la lengua española. https://dle.rae.es/inteligencia#2DxmhCT
Pérez León, E. V., & Rojas Arévalo, D. I. (2019). Impacto de la inteligencia artificial en
las empresas con un enfoque global. [Tesis de Grado, Universidad Peruana de Ciencias Aplicadas]. http://hdl.handle.net/10757/628123
Saladrigas, M. M. (2022). La Inteligencia Artificial” su aplicación en las Empresas.
Buenos Aires, Argentina.
Sánchez, J. A. (2020). ¿Cómo aprenden las máquinas? Machine Learning y sus diferentes
tipos. https://datos.gob.es/es/blog/como-aprenden-las-maquinas-machine-learning-y-sus-diferentes-tipos
Suarez Prieto, J. E. (2018). Los beneficios de la inteligencia artificial en el sector
empresarial. [Monografía. Universidad Santo Tomás].
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