Business transformation: artificial intelligence in employee interaction and IT process management

Authors

DOI:

https://doi.org/10.31637/epsir-2024-778

Keywords:

Artificial Intelligence, Information Technology Management, Best Practices, IT Governance, AI Integration, IT architecture, AI articulation, IT Management

Abstract

Introduction: The application of artificial intelligence (AI) in business processes has revolutionized the way companies interact with their customers and manage their internal processes. Methodology: The objective of the research is to study the adaptation process of employees and IT management in companies with the adoption of AI. The research approach is mixed applied type, phase I: Data collection: Obtaining relevant information on case studies, statistics and trends in the adoption of AI in IT management. Phase II: Fieldwork: Survey application and interviews with business professionals. Results: AI in companies is used in the need to develop internal capacity to take full advantage of the potential of this technology. It is crucial to invest in staff training and capacity building. Discussions: In IT management, AI can monitor and analyze system performance, identify potential problems and take preventive measures before critical failures. Conclusions: Organizations can prepare to integrate AI into their operations in a cross-cutting and incremental manner. Rethink processes and organizational culture to take full advantage of the benefits AI offers.

Downloads

Download data is not yet available.

Author Biographies

Lorena Uribe Rodriguez, Corporación Universitaria Minuto de Dios

Research Professor at the Faculty of Engineering of the Minuto de Dios University Corporation — Uniminuto. Virtual Rector's Office. Professor assigned to the Information Technology Administration program. Leader of the AdminTI Seedbed. Degree in Technology and Computer Education - San Buenaventura University. Specialist in Educational Research in University Contexts - San Buenaventura University. Master's Degree in Information Technology Management - Open and Distance National University.

Diana Milena Jiménez Velandia, Corporación Universitaria Minuto de Dios

Undergraduate student of Information Technology Administration at the Minuto de Dios University Corporation – Virtual. Student of the AdminTI Seedbed. Technologist in Information Systems Analysis, Database Fundamentals, Java. – SENA. Undergraduate student of Information Technology Administration at the Minuto de Dios University Corporation – Virtual.

References

Barrera, D. D. P. y Ollarves, R. J. R. (2019). Las TIC como estrategia competitiva en la gestión empresarial. Revista Enfoques, 3(12), 286-298. DOI: https://doi.org/10.33996/revistaenfoques.v3i12.72

Buitrago, H. Y. M. II. Reconocimiento y aplicación de los diferentes tipos de metaversos en la educación. Sinergia Digit@ l: Aportes a la Educación Superior Virtual, 15.

Devang, V., Chintan, S., Gunjan, T. y Krupa, R. (2019). Applications of artificial intelligence in marketing. Annals of the University Dunarea de Jos of Galati: Fascicle: XVII, Medici ne, 28-36. DOI: https://doi.org/10.35219/eai158404094

Estupiñán Ricardo, J., Leyva Vázquez, M. Y., Peñafiel Palacios, A. J. y El Assafiri Ojeda, Y. (2021). Inteligencia artificial y propiedad intelectual. Universidad Y Sociedad, 13(S3), 362-368. https://rus.ucf.edu.cu/index.php/rus/article/view/2490

Jiménez Moreno, A. M. (2023). El impacto de la Inteligencia Artificial frente a la automatización de los trabajos en empresas del sector TI de Colombia.

King, W. R. y He, J. (2005). Understanding the role and methods of meta-analysis in IS research. Communications of the Association for Information Systems, 16(1), 665-686. https://doi.org/10.17705/1CAIS.01632 DOI: https://doi.org/10.17705/1CAIS.01632

Marulanda C, López, M. y Valencia D. (2017). Gobierno y gestión de ti en las entidades públicas. Repositorio Digital Scielo. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-02792017000200075 DOI: https://doi.org/10.17230/ad-minister.31.5

Mojica Sanchez, K. (2022). Retos de la inteligencia artificial en la solución de problemas públicos en Colombia.

Montoya, A.Y y Valencia F. J. (2020). Inteligencia artificial al servicio de la auditoría: una revisión sistemática de literatura. Revista Ibérica de Sistemas e Tecnologias de Informacion, E27, 213-226.

Pardiñas Remeseiro, S. (2020). Inteligencia Artificial: Un estudio de impacto en la sociedad. Universidad de A Coruña. http://surl.li/wdddvl

Pérez, J. F., Suárez, D. y Ramírez Peña, A. (2020). Inteligencia artificial, una tendencia inevitable que reta a la humanidad.

Rincón, J. J. (2019) Colombia. Grupo de Investigación en Portafolios. Programas y Proyectos – GIP3 pp. 95-138 Lecciones aprendidas en proyectos de inteligencia artificial del sector de BPO Universidad Bolivariana. http://repositorio.unitec.edu/handle/123456789/7137}

Salvador Serna, M. (2021). Inteligencia artificial y gobernanza de datos en las administraciones públicas: reflexiones y evidencias para su desarrollo Gestión y Análisis de Políticas Públicas, (Núm. 26, pp. 20-32). Instituto Nacional de Administración Pública (INAP). https://doi.org/10.24965/gapp.i26.10855 DOI: https://doi.org/10.24965/gapp.i26.10855

Sánchez, E. M. M. y Expósito, E. H. (2023). Auditoría algorítmica en la inteligencia artificial en el Sector Público. Proyecciones, 17, 025-025. DOI: https://doi.org/10.24215/26185474e025

Torres Bermúdez, A., Arboleda, H. y Lucumí Sánchez, W. (2023). http://documentos.redclara.net/handle/10786/1007

Tortoise Intelligence (2021). The Global AI Index 2021. https://www.tortoisemedia.com/intelligence/global-ai/

Villacorta Vidal, C. A., Enciso Suárez, J. R. y Mendoza De los Santos, A. C. (2023). Impacto de la inteligencia artificial en la gestión de servicios de tecnología de información en una organización. Ingeniería Investiga, 5. https://doi.org/10.47796/ing.v5i0.794 DOI: https://doi.org/10.47796/ing.v5i0.794

Downloads

Published

2024-09-17

How to Cite

Uribe Rodriguez, L., & Jiménez Velandia, D. M. (2024). Business transformation: artificial intelligence in employee interaction and IT process management. European Public & Social Innovation Review, 9, 1–13. https://doi.org/10.31637/epsir-2024-778

Issue

Vol. 9 (2024)

Section

INNOVATING IN TRADITIONAL AND DISRUPTIVE ECONOMY

License

Copyright (c) 2024 Lorena Uribe Rodriguez, Diana Milena Jiménez Velandia

Creative Commons License

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

Authors who publish with this journal agree to the following terms:
  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Funding data