TY - JOUR
T1 - Evaluación Cuantitativa del Impacto de la Inteligencia Artificial en la Automatización de Procesos
AU - Palomino Quispe, Justiniano Felix
AU - Zapana Diaz, Domingo
AU - Choque-Flores, Leopoldo
AU - Castro León, Alisson Lizbeth
AU - Requis Carbajal, Luis Villar
AU - Pacherres Serquen, Edwin Eduardo
AU - García-Huamantumba, Arturo
AU - García-Huamantumba, Elvira
AU - García-Huamantumba, Camilo Fermín
AU - Guanilo Paredes, Carlos Enrique
N1 - Publisher Copyright:
© 2023; Los autores.
PY - 2023/1/20
Y1 - 2023/1/20
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Automation
KW - Business Processes
KW - Operating Efficiency
KW - Quantitative Impact
UR - https://www.scopus.com/pages/publications/85174582936
U2 - 10.56294/dm2023101
DO - 10.56294/dm2023101
M3 - Artículo
AN - SCOPUS:85174582936
SN - 2953-4917
VL - 2
JO - Data and Metadata
JF - Data and Metadata
M1 - 101
ER -