Quantitative Evaluation of the Impact of Artificial Intelligence on the Automation of Processes

Authors

  • Justiniano Felix Palomino Quispe Universidad Cesar Vallejo (UCV). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0001-5220-0563
  • García Huamantumba Universidad Privada Norbert Wiener (UPNW). Facultad de Ingeniería y Negocios, Carrera de Administración y Negocios Internacionales. Ciudad de Lima, Perú Author https://orcid.org/0009-0007-2624-7350
  • Elvira García Huamantumba Universidad Privada Norbert Wiener (UPNW). Facultad de Ingeniería y Negocios, Carrera de Administración y Negocios Internacionales. Ciudad de Lima, Perú Author https://orcid.org/0000-0001-7773-828X
  • Arturo García Huamantumba Universidad Privada Norbert Wiener (UPNW). Facultad de Ingeniería y Negocios, Carrera de Administración y Negocios Internacionales. Ciudad de Lima, Perú Author https://orcid.org/0000-0001-6713-6971
  • Edwin Eduardo Pacherres Serquen Universidad Tecnológica del Perú (UTP). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0002-5730-8562
  • Luis Villar Requis Carbajal Universidad Cesar Vallejo (UCV). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0002-3816-7047
  • Alisson Lizbeth Castro León Universidad Cesar Vallejo (UCV). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0002-3939-4436
  • Leopoldo Choque Flores Universidad Cesar Vallejo (UCV). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0003-0914-7159
  • Domingo Zapana Diaz Universidad Cesar Vallejo (UCV). Facultad de Ingeniería, Carrera de Ingeniería Civil. Ciudad de Lima, Perú Author https://orcid.org/0000-0001-5447-3549
  • Carlos Enrique Guanilo Paredes Universidad Autónoma del Perú (UA). Facultad de Ciencias de Gestión y Comunicaciones, Carrera de Administración y Empresas. Ciudad de Lima, Perú Author https://orcid.org/0000-0001-8935-5366

DOI:

https://doi.org/10.56294/dm2023101

Keywords:

Artificial intelligence, Automation, Business Processes, Operating efficiency, Quantitative Impact

Abstract

Introduction: in the current era, Artificial Intelligence (AI) has profoundly transformed the operation and management of business processes, being essential for competitiveness. This article focuses on quantitatively evaluating the impact of AI on the automation of business processes, seeking to support decision making.
Objective: this study aims to carry out a quantitative evaluation of the impact of AI on business processes. Robust methods are used to measure and analyze key variables related to AI adoption.
Methods: the methodology combines secondary data and company surveys. Public business databases are accessed and financial data is collected, in addition to analyzing Key Performance Indicators (KPI). A random selection of companies is made for the surveys, a structured questionnaire is used and the data is subjected to rigorous statistical analysis.
Result: quantitative results show significant impact of AI on business processes. The average reduction in operating costs reaches 26 %, the improvement in the quality of products and services is 30 %, and an average increase of 20 % in profit margins is observed. Possible moderators that influence these results are identified.
Conclusion: this quantitative study supports the strategic importance of AI in business, demonstrating substantial improvements in efficiency, quality and decision making. Despite its limitations, it offers a solid framework for decision-making and future research in the field of AI and business automation

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Published

2023-10-15

Issue

Vol. 2 (2023): Data and Metadata

Section

Original

License

Copyright (c) 2023 Justiniano Felix Palomino Quispe , García Huamantumba, Elvira García Huamantumba , Arturo García Huamantumba , Edwin Eduardo Pacherres Serquen , Luis Villar Requis Carbajal , Alisson Lizbeth Castro León, Leopoldo Choque Flores, Domingo Zapana Diaz , Carlos Enrique Guanilo Paredes (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

How to Cite

1.
Palomino Quispe JF, García Huamantumba CF, García Huamantumba E, García Huamantumba A, Pacherres Serquen EE, Villar Requis Carbajal L, et al. Quantitative Evaluation of the Impact of Artificial Intelligence on the Automation of Processes. Data and Metadata [Internet]. 2023 Oct. 15 [cited 2024 Dec. 21];2:101. Available from: https://dm.ageditor.ar/index.php/dm/article/view/151