Tecnologías emergentes en gestión de proyectos empresariales: revisión sistemática 2018-2025

Emerging technologies in business project management: systematic review 2018-2025

Contenido principal del artículo

Autores/as

Este estudio analiza los avances en tecnologías emergentes aplicadas a la gestión de proyectos en empresas de servicios durante el período 2018-2025 mediante una revisión sistemática. Se siguió el protocolo PRISMA utilizando las bases de datos Scielo, Scopus y Web of Science, aplicando criterios de inclusión específicos para estudios sobre tecnologías emergentes y gestión de proyectos. De 457 registros iniciales, se seleccionaron 26 artículos para análisis bibliométrico mediante el software Bibliometrix. Los resultados identificaron tres campos temáticos emergentes: metodologías ágiles basadas en inteligencia artificial para minería de datos orientadas a decisiones críticas, marcos de desempeño de proyectos innovadores sostenibles en entornos complejos e inciertos, y machine learning aplicado a gestión de riesgos y asignación de recursos basada en información. El análisis culturonómico reveló que los temas más candentes se dirigen a sistemas inteligentes para toma de decisiones, mientras que los temas básicos reconocen la inteligencia artificial y métodos ágiles como fundamentos para métricas de desempeño. Se concluye que las tecnologías emergentes están transformando significativamente la gestión de proyectos empresariales, especialmente en la automatización de procesos y optimización de recursos.

This study analyzes advances in emerging technologies applied to project management in service companies during the 2018-2025 period through a systematic review. The PRISMA protocol was followed using Scielo, Scopus, and Web of Science databases, applying specific inclusion criteria for studies on emerging technologies and project management. From 457 initial records, 26 articles were selected for bibliometric analysis using Bibliometrix software. Results identified three emerging thematic fields: agile methodologies based on artificial intelligence for data mining oriented to critical decisions, performance frameworks for innovative sustainable projects in complex and uncertain environments, and machine learning applied to risk management and resource allocation based on information. Culturonomic analysis revealed that the hottest topics are directed toward intelligent systems for decision-making, while basic topics recognize artificial intelligence and agile methods as foundations for performance metrics. It is concluded that emerging technologies are significantly transforming business project management, especially in process automation and resource optimization.

Detalles del artículo

Cómo citar
Martínez Terreros, S. M., & Peñafiel Manchego, E. V. (2025). Tecnologías emergentes en gestión de proyectos empresariales: revisión sistemática 2018-2025. Impulso, Revista De Administración, 5(11), 496-513. https://doi.org/10.59659/impulso.v.5i11.158
Sección
Artículos de Investigación

Cómo citar

Martínez Terreros, S. M., & Peñafiel Manchego, E. V. (2025). Tecnologías emergentes en gestión de proyectos empresariales: revisión sistemática 2018-2025. Impulso, Revista De Administración, 5(11), 496-513. https://doi.org/10.59659/impulso.v.5i11.158

Referencias

Adegbite, A. O., Adefemi, A., Ukpoju, E. A., Abatan, A., Adekoya, O., y Obaedo, B. O. (2023). Innovations in project management: Trends and best practices. Engineering Science & Technology Journal, 4(6), 509–532. https://doi.org/10.51594/estj.v4i6.670

Adeniran, I. A., Agu, E. E., Efunniyi, C. P., Osundare, O. S., y Iriogbe, H. O. (2024). The future of project management in the digital age: Trends, challenges, and opportunities. Engineering Science & Technology Journal, 5(8), 2632–2648. https://doi.org/10.51594/estj.v5i8.1516

Al-Ayed, S. I. (2025). The Role of Artificial Intelligence in Project Management Performance: The Mediating Effects of Competence Retention and Top Management Support. Journal of Project Management. https://doi.org/10.5267/j.jpm.2025.3.005

Alghail, A., Yao, L., Abbas, M., y Baashar, Y. (2021). Assessment of Knowledge Process Capabilities Toward Project Management Maturity: An Empirical Study. Journal of Knowledge Management. https://doi.org/10.1108/jkm-03-2021-0180

Alhammadi, A. (2025). The Impact of Technological Innovation on Project Management Performance: The Mediating Roles of Sustainability Culture and Top Management Support. Journal of Project Management. https://doi.org/10.5267/j.jpm.2025.5.003

Aljaaidi, K. S., Ibrahim Abdulmajeed, I. A., Bafaqeer, S. M., y Habee, S. (2025). Green Project Management Competencies and Sustainable Development Goals (SDGs): Empirical Evidence. Journal of Project Management. https://doi.org/10.5267/j.jpm.2025.1.004

Aria, M., y Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Aria, M., Cuccurullo, C., D'Aniello, L., Misuraca, M., y Spano, M. (2022). Thematic analysis as a new culturomic tool: the social media coverage on COVID-19 pandemic in Italy. Sustainability, 14(6), 3643. https://doi.org/10.3390/su14063643

Ashill, N. J., Williams, P., Khan, M. S., y Naumann, E. (2022). Dynamic and Ordinary Capabilities: A Project Management Perspective. IEEE Transactions on Engineering Management. https://doi.org/10.1109/tem.2020.3005534

Azevedo, A., Jugdev, K., y Mathur, G. (2022). The Impact of Organizational Support for the Project Management Process on Project and Firm Performance. International Journal of Managing Projects in Business. https://doi.org/10.1108/ijmpb-05-2022-0114

Bachari, M. S., Solouki, A., y Ghanbari, H. (2025). Exploring the application of artificial intelligence in project management: A systematic literature review. Journal of Project Management, 10(3), 451–468. https://doi.org/10.5267/j.jpm.2025.5.002

Bakhshi, J., Golzad, H., Martek, I., Hosseini, M. R., y Papadonikolaki, E. (2024). Unveiling the Complexity Code: Navigating BIM-enabled Projects With a Project Management Complexity Index. Engineering Construction & Architectural Management. https://doi.org/10.1108/ecam-07-2023-0702

Benmicia, N., y Belarbi, L. (2024). Bim: A collaborative approach to architectural project management. International Journal of Innovative Technologies in Social Science, 2(42), 1–9. https://doi.org/10.31435/rsglobal_ijitss/30062024/8136

Bloch, F., Jackson, M. O., y Tebaldi, P. (2023). Centrality measures in networks. Social Choice and Welfare, 61(2), 413-453. https://doi.org/10.1007/s00355-023-01462-8

Bushuyev, S., y Ivko, A. (2024). Construction of Models and Application of Syncretic Innovation Project Management in the Era of Artificial Intelligence. Eastern-European Journal of Enterprise Technologies. https://doi.org/10.15587/1729-4061.2024.306436

Chen, H., Xu, B., Wong, L., y Zhong, K. (2025). Enhancing Software Effort Estimation Through Reinforcement Learning-Based Project Management-Oriented Feature Selection. International Journal of Managing Projects in Business. https://doi.org/10.1108/ijmpb-03-2024-0065

Diao, Z. (2024). Project management in the age of artificial intelligence. Highlights in Business, Economics and Management, 39, 1119–1125. https://doi.org/10.54097/23axpg43

Fernandes, G., Araújo, M., Pinto, E. B., y Machado, R. J. (2019). An Extension of the Improving and Embedding Project Management Practice Framework. International Journal of Managing Projects in Business. https://doi.org/10.1108/ijmpb-11-2017-0143

Foster, M. J. (2022). Systematic review methodology in health technology assessment. International Journal of Technology Assessment in Health Care, 38(1), e4. https://doi.org/10.1017/S0266462321000635

Gorordo-Delsol, L., y Merinos-Sánchez, G. (2022). Palabras clave: ¿qué son y cómo utilizar los descriptores en ciencias de la salud? Revista de Educación e Investigación en Emergencias, 4(2), 178-181. https://doi.org/10.24875/REIE.22000069

Grant, M., y Booth, A. (2009). A typology of reviews: an analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91-108. https://doi.org/10.1111/j.1471-1842.2009.00848.x

Harvey, Z. (2024). The future use of cloud-based virtual technologies to enhance project management in west coast governments: A Delphi study. Journal of Information and Technology, 8(1), 65–81. https://doi.org/10.53819/81018102t2398

Holzmann, V., Zitter, D., y Peshkess, S. (2022). The expectations of project managers from artificial intelligence: A Delphi study. Project Management Journal, 53(5), 438–455. https://doi.org/10.1177/87569728211061779

Jewell, S. T. (2022). Piecing together systematic reviews and other evidence syntheses. Rowman & Littlefield. https://doi.org/10.5771/9781538161005

Kiani, A. (2024). Harnessing AI in entrepreneurial project management: Opportunities and challenges. Strategic Direction, 40(10), 14–16. https://doi.org/10.1108/sd-10-2024-0189

Koengkan, M., Poveda, Y. E., y Fuinhas, J. A. (2020). Globalisation as a motor of renewable energy development in Latin America countries. GeoJournal, 85(6), 1591–1602. https://doi.org/10.1007/s10708-019-10042-0

Košťálová, J., y McGrath, J. (2021). Sustainability in Project Management: ¿Two sides of the same coin or poles apart? En J. Maci, P. Maresova, K. Firlej, & I. Soukal (Eds.), Proceedings of the international scientific conference Hradec Economic Days 2021. University of Hradec Kralove. https://doi.org/10.36689/uhk/hed/2021-01-045

Krpan, L., Ivandić, D. V., y Talajić, M. (2025). Artificial Intelligence and ONA: Transforming Project Management Practices. European Project Management Journal. https://doi.org/10.56889/aqcy3444

Li, J., Lai, S., Shuai, Z., Tan, Y., Jia, Y., Yu, M., y Lu, Y. (2024). A comprehensive review of community detection in graphs. Neurocomputing, 600, 128-169. https://doi.org/10.1016/j.neucom.2024.127869

Machado, F., Duarte, N., Amaral, A., y Barros, T. (2021). Project Management Maturity Models for Construction Firms. Journal of Risk and Financial Management, 14(12), 571. https://doi.org/10.3390/jrfm14120571

Mahabir, R. J., y Pun, K. F. (2022). Revitalising Project Management Office Operations in an Engineering-Service Contractor Organisation: A key Performance Indicator Based performance Management Approach. Business Process Management Journal. https://doi.org/10.1108/bpmj-10-2021-0655

Mainela, T., y Ulkuniemi, P. (2013). Personal interaction and customer relationship management in project business. Journal of Business & Industrial Marketing, 28(2), 103–110. https://doi.org/10.1108/08858621311295245

Metsis, K., Inchley, J., Williams, A. J., Vrahimis, S., Brown, L., y Sullivan, F. (2024). Conceptualisation of health among young people: a protocol for systematic review and thematic synthesis of qualitative studies. Systematic Reviews, 13(1), 200. https://doi.org/10.1186/s13643-024-02614-0

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., y PRISMA Group. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336–341. https://doi.org/10.1016/j.ijsu.2010.02.007

Mulesa, O., Horvat, P., Radivilova, T., Sabadosh, V., Baranovskyi, O., y Duran, S. (2023). Design of mechanisms for ensuring the execution of tasks in project planning. Eastern-European Journal of Enterprise Technologies, 2(4), 16–22. https://doi.org/10.15587/1729-4061.2023.277585

Munn, Z., Peters, M., Stern, C., Tufanary, C., McArthur, A., y Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x

Page, M., McKenzie, J., Bossuyt, P., Boutron, I., Hoffmann, T., Mulrow, C., ... y Alonso-Fernández, S. (2021). Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790–799. https://doi.org/10.1016/j.recesp.2021.06.016

Plattfaut, R. (2022). On the importance of project management capabilities for sustainable business process management. Sustainability, 14(13), 7612. https://doi.org/10.3390/su14137612

Pratama, I. N., Dachyar, M., y Pratama, N. R. (2023). Optimization of Resource Allocation and Task Allocation With Project Management Information Systems in Information Technology Companies. TEM Journal, 12(3), 1665-1674. https://doi.org/10.18421/tem123-65

Sakka, A., Kourjieh, M., y Kraiem, I. B. (2023). An IT Projects' Conceptual Model to Facilitate Upstream Decision‐making: Project Management Method Selection. International Transactions in Operational Research. https://doi.org/10.1111/itor.13231

Salleh, M. H., y Aziz, K. A. (2022). Artificial intelligence augmented project management. En Proceedings of the International Conference on Technology and Innovation Management (ICTIM 2022) (pp. 274–284). Atlantis Press International BV. https://doi.org/10.2991/aebmr.k.220415.044

Santos, C., Santos, V., Tavares, A., y Varajão, J. (2020). Project management in public health: A systematic literature review on success criteria and factors. Portuguese Journal of Public Health, 38(1), 37–48. https://doi.org/10.1159/000509531

Savio, R. D., y Dewan, B. (2023). Project management enhancement through technology. Eximia, 12, 610–617. https://doi.org/10.47577/eximia.v12i1.406

Shenhar, A. (2015). What is Strategic Project Leadership? Open Economics and Management Journal, 2(Suppl 1), 29–37. https://doi.org/10.2174/2352630001502010029

Silva, F. J. G., Kirytopoulos, K., Ferreira, L. P., Sá, J. C., Santos, G., y Cancela Nogueira, M. C. (2022). The Three Pillars of Sustainability and Agile Project Management: How Do They Influence Each Other. Corporate Social Responsibility and Environmental Management, 29(5), 1495-1512. https://doi.org/10.1002/csr.2287

Sobchenko, V., Bashynskyi, A., Piatkov, M., Shaforost, S., y Chmyr, V. (2024). Artificial Intelligence for Enhancing Engineering Project Management During Emergencies: Perception-Based Analysis. Quality Innovation Prosperity, 28(3), 48-71. https://doi.org/10.12776/qip.v28i3.2048

Sohi, A. J., Bosch‐Rekveldt, M., y Hertogh, M. (2019). Does Flexibility in Project Management in Early Project Phases Contribute Positively to End-Project Performance? International Journal of Managing Projects in Business, 12(4), 918-941. https://doi.org/10.1108/ijmpb-07-2019-0173

Yang, Z., Algesheimer, R., y Tessone, C. J. (2016). A comparative analysis of community detection algorithms on artificial networks. Scientific Reports, 6(1), 30750. https://doi.org/10.1038/srep30750

Zasa, F. P., Patrucco, P. P., y Pellizzoni, E. (2021). Managing the Hybrid Organization: ¿How Can Agile and Traditional Project Management Coexist? Research-Technology Management, 64(1), 54-63. https://doi.org/10.1080/08956308.2021.1843331