Emotional intelligence in the exercise of pastoral leadership: An analysis in an ecclesial community
DOI:
https://doi.org/10.61236//utcprospectivas.v9i2.1345Keywords:
people analytics, predictive intelligence, human talent managementAbstract
Human talent management is undergoing a profound transformation driven by digitalization, data analytics, and the need to base organizational decision-making on information. This study aimed to analyze the incorporation of practices associated with People Analytics and Predictive Intelligence in talent management within an Ecuadorian animal feed company. The research followed a quantitative approach, non-experimental design, cross-sectional scope, and descriptive objectives, complemented by a bibliographic review to support the theoretical framework. Data were collected via a survey applied to 150 employees. Results indicated a greater presence of People Analytics and Predictive Intelligence in processes related to performance monitoring, productivity, and training, particularly in integrating performance with organizational productivity indicators (64,7%), evaluating training impact (58,7%), incorporating wellness and health indicators (57,3%), and leader training in predictive tools (54,7%). Conversely, lower presence was observed in workforce turnover prediction (50,7%) and using People Analytics reports for strategic planning (47,3%). The study concludes that both variables show favorable incorporation and a growing orientation toward strategic data use and predictive analysis in organizational management.
References
Alaimo, V., Alarcón, V., Hernández, J., Kaplan, D., Novella, R., & Chaves, M. (2022). El futuro del trabajo en América Latina y el Caribe: la flexibilidad, ¿llegó para quedarse? Washington, D.C.: Banco Interamericano de Desarrollo. http://dx.doi.org/10.18235/0004504
Araujo, B., Loor, A., Vargas, M., Guevara, C., & Merino, A. (2025). Impactos Proyectados de la Inteligencia Artificial y la Automatización en el Mercado Laboral Ecuatoriano. Revista Ciencia Latina Científica Multidisciplinar, 9(5), 8138 - 8153. https://doi.org/10.37811/cl_rcm.v9i5.20151
Belizón, M., & Kieran, S. (2021). Human resources analytics: A legitimacy process. Human Resource Management Journal, 32(3). https://doi.org/10.1111/1748-8583.12417
Bennett, A., & Loose, S. (2024). User-Centered Development of an Online Dashboard Tool for Economic Sustainability for Small and Medium Enterprises. Sustainability, 16(2), 557. https://doi.org/10.3390/su16020557
Căvescu, A., & Popescu, N. (2025). Predictive Analytics in Human Resources Management: Evaluating AIHR’s Role in Talent Retention. Applied Math, 5(99). https://doi.org/10.3390/appliedmath5030099
Cisco. (2026). Data and Privacy Benchmark Study. Cisco Systems, Inc. https://www.cisco.com/c/dam/en_us/about/doing_business/trust-center/docs/cisco-privacy-benchmark-study-2026.pdf
De Stefano, V., & Taes, S. (2022). Algorithmic management and collective bargaining. Transfer: European Review of Lab our and Research, 29(1). https://doi.org/10.1177/10242589221141055
Diefenhardt, F., Rapp, M., Bader, V., & Mayrhofer, W. (2024). In God we trust, all others must bring data: Unpacking the influence of human resource analytics on the strategic recognition of human resource management. Human Resource Management Journal (35), 597-612. https://doi.org/10.1111/1748-8583.12583
Fernández, C., González, R., & Gascó, J. (2024). Analítica de recursos humanos: una revisión sistemática de literatura. INNOVA Research Journal, 9(3), 137-166. https://doi.org/10.33890/innova.v9.n3.2024.2538
Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. New York: Oxford University Press. https://acortar.link/LOGupq
Hjelle, S., Mikalef, P., Altwaijry, N., & Parida, V. (2024). Organizational decision making and analytics: An experimental study on dashboard visualizations. Science Direct, 61(6). https://doi.org/10.1016/j.im.2024.104011
Hurbean, L., Militaru, F., Muntean, M., & Danaiata, D. (2023). The Impact of Business Intelligence and Analytics Adoption on Decision Making Effectiveness and Managerial Work Performance. Scientific Annals of Economics and Business, 43 - 54. https://doi.org/10.47743/saeb-2023-0012
Kang, H.-s., & Kim, S. (2024). Proposed Data Literacy Competency Framework through Literature Analysis. International Journal of Knowledge Content Development & Technology, 14(3), 115 - 140. http://dx.doi.org/10.5865/IJKCT.2024.14.3.115
Kuvaas, B., Buch, R., & Dysvik, A. (2020). Individual variables pay for performance, controlling effects, and intrinsic motivation. Motivation and Emotion, 44(4), 525-533. https://doi.org/10.1007/s11031-020-09828-4
López, J. d. (2025). Artificial intelligence in enhancing human talent and knowledge management in organizations: a systematic review in Scopus. Revista científica de sistemas e informática, 5(1), 9. https://doi.org/10.51252/rcsi.v5i1.889
McCartney, S., & Fu, N. (2024). Enacting people analytics: Exploring the direct and complementary effects of analytical and storytelling skills. Human Resource Management, 63(2), 187 - 205. https://doi.org/10.1002/hrm.22194
Minbaeva, D., & Navrbjerg, S. (2023). Strategic human resource management in the context of environmental crises: A COVID-19 test. Human Resource Management, 62(6), 811-832. https://doi.org/10.1002/hrm.22162
Naranjo-Gaibor, J. (2024). Herramientas para la gestión del talento humano empresarial. Polo del Conocimiento, 10(4), 3362 - 3373. https://doi.org/10.23857/pc.v10i7.10097
Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management: Zeitschrift für Personalforschung, 34(3). German Journal of Human Resource Management: Zeitschrift für Personalforschung: https://doi.org/10.1177/2397002220921131
Tsamados, A., Floridi, L., & Taddeo, M. (2025). Human control of AI systems: from supervision to teaming. AI and Ethics (5), 1535 - 1548. https://doi.org/10.1007/s43681-024-00489-4
UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESDOC Biblioteca Digital. Obtenido de https://unesdoc.unesco.org/ark:/48223/pf0000377897
Vargas, G. (2025). People Analytics en Recursos Humanos: Evidencias, Avances y Desafíos desde una Revisión Sistemática (2015–2025). Revista Ciencia y Reflexión, 4(3), 1147. https://orcid.org/0000-0002-4383-32007
Varghese, S., RB, L., Patil, G., Thomas, N., & T, H. (2025). Predictive HR Analytics: Forecasting Employee Turnover Through Machine Learning Models. Advanced in Consumer Research, 2(4), 2588 - 2603. https://acr-journal.com/
Weller, J. (2020). Las transformaciones tecnológicas y el Empleo en América Latina: oportunidades y desafíos. Revista de la CEPAL (130), 7 - 34. https://repositorio.cepal.org/server/api/core/bitstreams/5ce6eb0f-5e56-4853-aac4-45f4c7ee8f48/content
Wirges, F., & Neyer, A. (2023). Towards a process-oriented understanding of HR analytics. Review of Managerial Science, 2777 - 2808. https://doi.org/10.1007/s11846-022-00574-0
Yi Li, L., & Fan, F. (2023). Employees’ Appraisals and Trust of Artificial Intelligences´ Transparency and Opacity. Behavioral Sciences, 13(4), 344. https://doi.org/10.3390/bs13040344
Zervas, I., & Triantari, S. (2025). Digital HRM Practices and Perceived Digital Competence: An Analysis of Organizational Culture´s Role. Digital, 5(34). https://doi.org/10.3390/digital5030034
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Karen Michelle Muquinche Alulema, Andrés Sebastián Venegas Aguirre, Danilo Javier Altamirano Analuisa
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors retain all copyright over their works published in this journal. By submitting their articles, the authors grant the journal the right of first publication and agree that their works may be distributed under terms that allow open access and academic use, while always maintaining recognition of their original authorship. The journal does not require the transfer of economic rights, so authors retain full freedom to use, disseminate, and reuse their works, with the only condition of citing their initial publication in this journal.
