Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector

Autores:: Ruiz-Rivera, Andrea-Nataly
Sarmiento-Rojas, Jorge-Andrés
Ballesteros-Ricaurte, Javier-Antonio

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.en-US.fl_str_mv	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
title	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
spellingShingle	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector Talent acquisition Artificial intelligence Systematic review Construction Adquisición de talento Inteligencia artificial Revisión sistemática Construcción
title_short	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
title_full	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
title_fullStr	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
title_full_unstemmed	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
title_sort	Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector
dc.creator.fl_str_mv	Ruiz-Rivera, Andrea-Nataly Sarmiento-Rojas, Jorge-Andrés Ballesteros-Ricaurte, Javier-Antonio
dc.contributor.author.eng.fl_str_mv	Ruiz-Rivera, Andrea-Nataly Sarmiento-Rojas, Jorge-Andrés Ballesteros-Ricaurte, Javier-Antonio
dc.subject.none.fl_str_mv	Talent acquisition Artificial intelligence Systematic review Construction Adquisición de talento Inteligencia artificial Revisión sistemática Construcción
topic	Talent acquisition Artificial intelligence Systematic review Construction Adquisición de talento Inteligencia artificial Revisión sistemática Construcción
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-05-23 00:00:00 2026-04-16T17:47:48Z
dc.date.available.none.fl_str_mv	2025-05-23 00:00:00
dc.date.issued.none.fl_str_mv	2025-05-23
dc.type.spa.fl_str_mv	Artículo de revista
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dc.relation.references.none.fl_str_mv	Gallup, State of the Global Workplace, 2024. Y. Huicab-García, “Gestión del talento humano en el entorno BANI,” 593 Digital Publisher CEIT, vol. 8, no. 1, pp. 155-165, 2023. https://doi.org/10.33386/593dp.2023.1-1.1533 World Economic Forum, Future Of Jobs Report 2023, 2023. Y. Wang, X. Deng, H. Mao, “The Optimization of Personnel Localization Management on international construction projects: cases study from China enterprises,” Engineering, Construction and Architectural Management, vol. 30, no. 8, pp. 3259-3291, 2023. https://doi.org/10.1108/ECAM-10-2021-0957 J.-A. Sarmiento-Rojas, C.-G. Hernández-Carrillo, F.-D. Güiza-Pinzón, “Complejidad en proyectos: generación de un modelo en el sector de la construcción colombiano,” Revista Científica, vol. 47, no. 2, pp. 25-38, 2023. https://doi.org/10.14483/23448350.20386 O. A. Ayodele, Y. Chang-Richards, V. A. González, “A framework for addressing construction labour turnover in New Zealand,” Engineering, Construction and Architectural Management, vol. 29, no. 2, pp. 601-618, 2022. https://doi.org/10.1108/ECAM-05-2020-0358 J. E. Figueroa, J. F. Maldonado, P. Ramírez, La alta rotación del personal en el sector de la construcción, Grade Thesis, Corporación Universitaria UNITEC, Colombia, 2018. https://repositorio.unitec.edu.co/handle/20.500.12962/444 Project Management Institute, PMBOK GUIDE A Guide to the Project Management Body Of Knowledge and the Standard for project Management, 2021. https://lccn.loc.gov/2021011107 E. Y. Torres Nova, “Aspectos que afectan la gestión del talento humano en el sector construcción en Colombia,” SIGNOS-Investigación en sistemas de gestión, vol. 10, no. 2, pp. 103-117, 2018. https://doi.org/10.15332/s2145-1389.2018.0002.06 K. K. Tripathi, K. N. Jha, “An Empirical Study on Performance Measurement Factors for Construction Organizations,” KSCE Journal of Civil Engineering, vol. 22, no. 4, pp. 1052-1066, 2018. https://doi.org/10.1007/s12205-017-1892-z R. D. Johnson, D. L. Stone, K. M. Lukaszewski, “The benefits of eHRM and AI for talent acquisition,” Journal of Tourism Futures, vol. 7, no. 1, pp. 40-52, 2020. https://doi.org/10.1108/JTF-02-2020-0013 Z. Chen, “Collaboration among recruiters and artificial intelligence: removing human prejudices in employment,” Cognition, Technology and Work, vol. 25, no. 1, pp. 135-149, 2023. https://doi.org/10.1007/s10111-022-00716-0 T. Jacob Fernandes França, H. São Mamede, J. M. Pereira Barroso, V. M. Pereira Duarte dos Santos, “Artificial intelligence applied to potential assessment and talent identification in an organisational context,” Heliyon, vol. 9, no. 4, e14694, 2023. https://doi.org/10.1016/j.heliyon.2023.e14694 N. Lawande, “Exploring the Trends of Artificial Intelligence in Recruitment: A Bibliometric Study,” International Journal of Supply and Operations Management, vol. 11, no. 3, pp. 351-366, 2024. https://doi.org/10.22034/IJSOM.2024.110284.3016 M. J. Page et al., The PRISMA 2020 statement: An updated guideline for reporting systematic reviews, 2021. https://doi.org/10.1136/bmj.n71 J. M. Costa, Benchmarking de procesos, 2007. https://www.apqc.org K. C. Iyer, P. S. Banerjee, “Measuring and benchmarking managerial efficiency of project execution schedule performance,” International Journal of Project Management, vol. 34, no. 2, pp. 219-236, 2016. https://doi.org/10.1016/j.ijproman.2015.10.008 J. S. Black, P. van Esch, “AI-enabled recruiting: What is it and how should a manager use it?,” Business Horizons, vol. 63, no. 2, pp. 215-226, 2020. https://doi.org/10.1016/j.bushor.2019.12.001 Y. Milanés, Tutorial de Bibliometrix/Biblioshiny y caso práctico resuelto, 2024. https://www.bibliometrix.org/ M. J. Cobo, A. G. Lõpez-Herrera, E. Herrera-Viedma, F. Herrera, “SciMAT: A new science mapping analysis software tool,” Journal of the American Society for Information Science and Technology, vol. 63, no. 8, pp. 1609-1630, 2012. https://doi.org/10.1002/asi.22688 U. Paschen, C. Pitt, J. Kietzmann, “Artificial intelligence: Building blocks and an innovation typology,” Business Horizont, vol. 63, no. 2, pp. 147-155, 2020. https://doi.org/10.1016/j.bushor.2019.10.004 S. Chatterjee, R. Chaudhuri, D. Vrontis, R. V. Mahto, S. Kraus, “Global talent management by multinational enterprises post‐COVID‐19: The role of enterprise social networking and senior leadership,” Thunderbird International Business Review, vol. 65, no. 1, pp. 77-88, 2023. https://doi.org/10.1002/tie.22248 R. Pillai, B. Sivathanu, “Adoption of Artificial Intelligence (AI) for talent acquisition in IT/ITeS organizations,” Benchmarking: An international Journal, vol. 27, no. 9, pp. 2599-2629, 2020. https://doi.org/10.1108/BIJ-04-2020-0186 D. Vrontis, M. Christofi, V. Pereira, S. Tarba, A. Makrides, E. Trichina, “Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review,” International Journal of Human Resource Management, vol. 33, no. 6, pp. 1237-1266, 2022. https://doi.org/10.1080/09585192.2020.1871398 G. M. Sridevi, S. Kamala, “AI based suitability measurement and prediction between job description and job seeker profiles,” International Journal of Information Management Data Insights, vol. 2, no. 2, e100109, 2022. https://doi.org/10.1016/j.jjimei.2022.100109 K. Rab-Kettler, B. Lehnervp, “Recruitment in the Times of Machine Learning,” Management Systems in Production Engineering, vol. 27, no. 2, pp. 105-109, 2019. https://doi.org/10.1515/mspe-2019-0018 S. Liu, G. Li, H. Xia, “Analysis of Talent Management in the Artificial Intelligence Era,” in Proceedings of the 5th Asia-Pacific Conference on Economic Research and Management Innovation, 2021. https://doi.10.2991/aebmr.k.210218.007 L. Morse, M. Mihail Teodorescu, Y. Awwad, G. Kane, “A Framework for Fairer Machine Learning in Organizations,” MIS Quarterly, vol. 45, no. 3b, pp. 1483-1499, 2021. https://doi.org/10.25300/MISQ/2021/16535 M. P. Hauer, J. Kevekordes, M. A. Haeri, “Legal perspective on possible fairness measures – A legal discussion using the example of hiring decisions,” Computer Law & Security Review, vol. 42, e105583, 2021. https://doi.org/10.1016/j.clsr.2021.105583 P. T. Kim, D. Noyes, M. T. Bodie, Artificial Intelligence and the Challenges of Workplace Discrimination and Privacy, 2021. Y. Acikgoz, K. H. Davison, M. Compagnone, M. Laske, “Justice perceptions of artificial intelligence in selection,” International Journal of Selection and Assessment, vol. 28, no. 4, pp. 399-416, 2020. https://doi.org/10.1111/ijsa.12306 M. Haenlein, A. Kaplan, “A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence,” California Management Review, vol. 61, no. 4, pp. 5-14, 2019. https://doi.org/10.1177/0008125619864925 K. Roemmich, T. Rosenberg, S. Fan, N. Andalibi, “Values in Emotion Artificial Intelligence Hiring Services: Technosolutions to Organizational Problems,” in Proceedings of the ACM on Human Computer Interaction, 2023. https://doi.org/10.1145/3579543 A. Ghosh, B. Basu, “Leveraging Analytics for Talent Acquisition: Case of IT Sector in India,” Asia Pacific Journal of Information Systems, vol. 30, no. 4, pp. 879-918, 2020. https://doi.org/10.14329/APJIS.2020.30.4.879 T. Tanantong, P. Wongras, “A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand,” Systems, vol. 12, no. 1, e28, 2024. https://doi.org/10.3390/systems12010028 A. Agnihotri, K. H. Pavitra, B. Balusamy, A. Maurya, P. Bibhakar, “Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management,” EAI Endorsed Transactions on Internet of Things, vol. 10, e4642, 2023. https://doi.org/0.4108/eetiot.4642 N. Kshetri, “Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence,” Management Research Review, vol. 44, no. 7, pp. 970-990, 2021. https://doi.org/10.1108/MRR-03-2020-0168
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dc.rights.none.fl_str_mv	Andrea-Nataly Ruiz-Rivera, Jorge-Andrés Sarmiento-Rojas, Javier-Antonio Ballesteros-Ricaurte - 2024
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spelling	Ruiz-Rivera, Andrea-NatalySarmiento-Rojas, Jorge-AndrésBallesteros-Ricaurte, Javier-Antonio2025-05-23 00:00:002026-04-16T17:47:48Z2025-05-23 00:00:002025-05-230121-1129https://repositorio.uptc.edu.co/handle/001/2161010.19053/uptc.01211129.v33.n70.2024.192022357-5328https://doi.org/10.19053/uptc.01211129.v33.n70.2024.19202application/pdftext/xmlUniversidad Pedagógica y Tecnológica de ColombiaAndrea-Nataly Ruiz-Rivera, Jorge-Andrés Sarmiento-Rojas, Javier-Antonio Ballesteros-Ricaurte - 2024https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/19202Talent acquisitionArtificial intelligenceSystematic reviewConstructionAdquisición de talentoInteligencia artificialRevisión sistemáticaConstrucciónArtificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction SectorArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Gallup, State of the Global Workplace, 2024.Y. Huicab-García, “Gestión del talento humano en el entorno BANI,” 593 Digital Publisher CEIT, vol. 8, no. 1, pp. 155-165, 2023. https://doi.org/10.33386/593dp.2023.1-1.1533World Economic Forum, Future Of Jobs Report 2023, 2023.Y. Wang, X. Deng, H. Mao, “The Optimization of Personnel Localization Management on international construction projects: cases study from China enterprises,” Engineering, Construction and Architectural Management, vol. 30, no. 8, pp. 3259-3291, 2023. https://doi.org/10.1108/ECAM-10-2021-0957J.-A. Sarmiento-Rojas, C.-G. Hernández-Carrillo, F.-D. Güiza-Pinzón, “Complejidad en proyectos: generación de un modelo en el sector de la construcción colombiano,” Revista Científica, vol. 47, no. 2, pp. 25-38, 2023. https://doi.org/10.14483/23448350.20386O. A. Ayodele, Y. Chang-Richards, V. A. González, “A framework for addressing construction labour turnover in New Zealand,” Engineering, Construction and Architectural Management, vol. 29, no. 2, pp. 601-618, 2022. https://doi.org/10.1108/ECAM-05-2020-0358J. E. Figueroa, J. F. Maldonado, P. Ramírez, La alta rotación del personal en el sector de la construcción, Grade Thesis, Corporación Universitaria UNITEC, Colombia, 2018. https://repositorio.unitec.edu.co/handle/20.500.12962/444Project Management Institute, PMBOK GUIDE A Guide to the Project Management Body Of Knowledge and the Standard for project Management, 2021. https://lccn.loc.gov/2021011107E. Y. Torres Nova, “Aspectos que afectan la gestión del talento humano en el sector construcción en Colombia,” SIGNOS-Investigación en sistemas de gestión, vol. 10, no. 2, pp. 103-117, 2018. https://doi.org/10.15332/s2145-1389.2018.0002.06K. K. Tripathi, K. N. Jha, “An Empirical Study on Performance Measurement Factors for Construction Organizations,” KSCE Journal of Civil Engineering, vol. 22, no. 4, pp. 1052-1066, 2018. https://doi.org/10.1007/s12205-017-1892-zR. D. Johnson, D. L. Stone, K. M. Lukaszewski, “The benefits of eHRM and AI for talent acquisition,” Journal of Tourism Futures, vol. 7, no. 1, pp. 40-52, 2020. https://doi.org/10.1108/JTF-02-2020-0013Z. Chen, “Collaboration among recruiters and artificial intelligence: removing human prejudices in employment,” Cognition, Technology and Work, vol. 25, no. 1, pp. 135-149, 2023. https://doi.org/10.1007/s10111-022-00716-0T. Jacob Fernandes França, H. São Mamede, J. M. Pereira Barroso, V. M. Pereira Duarte dos Santos, “Artificial intelligence applied to potential assessment and talent identification in an organisational context,” Heliyon, vol. 9, no. 4, e14694, 2023. https://doi.org/10.1016/j.heliyon.2023.e14694N. Lawande, “Exploring the Trends of Artificial Intelligence in Recruitment: A Bibliometric Study,” International Journal of Supply and Operations Management, vol. 11, no. 3, pp. 351-366, 2024. https://doi.org/10.22034/IJSOM.2024.110284.3016M. J. Page et al., The PRISMA 2020 statement: An updated guideline for reporting systematic reviews, 2021. https://doi.org/10.1136/bmj.n71J. M. Costa, Benchmarking de procesos, 2007. https://www.apqc.orgK. C. Iyer, P. S. Banerjee, “Measuring and benchmarking managerial efficiency of project execution schedule performance,” International Journal of Project Management, vol. 34, no. 2, pp. 219-236, 2016. https://doi.org/10.1016/j.ijproman.2015.10.008J. S. Black, P. van Esch, “AI-enabled recruiting: What is it and how should a manager use it?,” Business Horizons, vol. 63, no. 2, pp. 215-226, 2020. https://doi.org/10.1016/j.bushor.2019.12.001Y. Milanés, Tutorial de Bibliometrix/Biblioshiny y caso práctico resuelto, 2024. https://www.bibliometrix.org/M. J. Cobo, A. G. Lõpez-Herrera, E. Herrera-Viedma, F. Herrera, “SciMAT: A new science mapping analysis software tool,” Journal of the American Society for Information Science and Technology, vol. 63, no. 8, pp. 1609-1630, 2012. https://doi.org/10.1002/asi.22688U. Paschen, C. Pitt, J. Kietzmann, “Artificial intelligence: Building blocks and an innovation typology,” Business Horizont, vol. 63, no. 2, pp. 147-155, 2020. https://doi.org/10.1016/j.bushor.2019.10.004S. Chatterjee, R. Chaudhuri, D. Vrontis, R. V. Mahto, S. Kraus, “Global talent management by multinational enterprises post‐COVID‐19: The role of enterprise social networking and senior leadership,” Thunderbird International Business Review, vol. 65, no. 1, pp. 77-88, 2023. https://doi.org/10.1002/tie.22248R. Pillai, B. Sivathanu, “Adoption of Artificial Intelligence (AI) for talent acquisition in IT/ITeS organizations,” Benchmarking: An international Journal, vol. 27, no. 9, pp. 2599-2629, 2020. https://doi.org/10.1108/BIJ-04-2020-0186D. Vrontis, M. Christofi, V. Pereira, S. Tarba, A. Makrides, E. Trichina, “Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review,” International Journal of Human Resource Management, vol. 33, no. 6, pp. 1237-1266, 2022. https://doi.org/10.1080/09585192.2020.1871398G. M. Sridevi, S. Kamala, “AI based suitability measurement and prediction between job description and job seeker profiles,” International Journal of Information Management Data Insights, vol. 2, no. 2, e100109, 2022. https://doi.org/10.1016/j.jjimei.2022.100109K. Rab-Kettler, B. Lehnervp, “Recruitment in the Times of Machine Learning,” Management Systems in Production Engineering, vol. 27, no. 2, pp. 105-109, 2019. https://doi.org/10.1515/mspe-2019-0018S. Liu, G. Li, H. Xia, “Analysis of Talent Management in the Artificial Intelligence Era,” in Proceedings of the 5th Asia-Pacific Conference on Economic Research and Management Innovation, 2021. https://doi.10.2991/aebmr.k.210218.007L. Morse, M. Mihail Teodorescu, Y. Awwad, G. Kane, “A Framework for Fairer Machine Learning in Organizations,” MIS Quarterly, vol. 45, no. 3b, pp. 1483-1499, 2021. https://doi.org/10.25300/MISQ/2021/16535M. P. Hauer, J. Kevekordes, M. A. Haeri, “Legal perspective on possible fairness measures – A legal discussion using the example of hiring decisions,” Computer Law & Security Review, vol. 42, e105583, 2021. https://doi.org/10.1016/j.clsr.2021.105583P. T. Kim, D. Noyes, M. T. Bodie, Artificial Intelligence and the Challenges of Workplace Discrimination and Privacy, 2021.Y. Acikgoz, K. H. Davison, M. Compagnone, M. Laske, “Justice perceptions of artificial intelligence in selection,” International Journal of Selection and Assessment, vol. 28, no. 4, pp. 399-416, 2020. https://doi.org/10.1111/ijsa.12306M. Haenlein, A. Kaplan, “A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence,” California Management Review, vol. 61, no. 4, pp. 5-14, 2019. https://doi.org/10.1177/0008125619864925K. Roemmich, T. Rosenberg, S. Fan, N. Andalibi, “Values in Emotion Artificial Intelligence Hiring Services: Technosolutions to Organizational Problems,” in Proceedings of the ACM on Human Computer Interaction, 2023. https://doi.org/10.1145/3579543A. Ghosh, B. Basu, “Leveraging Analytics for Talent Acquisition: Case of IT Sector in India,” Asia Pacific Journal of Information Systems, vol. 30, no. 4, pp. 879-918, 2020. https://doi.org/10.14329/APJIS.2020.30.4.879T. Tanantong, P. Wongras, “A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand,” Systems, vol. 12, no. 1, e28, 2024. https://doi.org/10.3390/systems12010028A. Agnihotri, K. H. Pavitra, B. Balusamy, A. Maurya, P. Bibhakar, “Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management,” EAI Endorsed Transactions on Internet of Things, vol. 10, e4642, 2023. https://doi.org/0.4108/eetiot.4642N. Kshetri, “Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence,” Management Research Review, vol. 44, no. 7, pp. 970-990, 2021. https://doi.org/10.1108/MRR-03-2020-0168e1920270e1920233Revista Facultad de Ingenieríahttps://revistas.uptc.edu.co/index.php/ingenieria/article/download/19202/15698https://revistas.uptc.edu.co/index.php/ingenieria/article/download/19202/15743Núm. 70 , Año 2024 : October-December 2024 (Publicación Continua)PublicationOREORE.xmltext/xml2762https://repositorio.uptc.edu.co/bitstreams/5cb52455-c4be-456d-bb60-d2e6c701e7e5/download06d476aa756b59dd0e311904024ed00dMD51falseAnonymousREAD001/21610oai:repositorio.uptc.edu.co:001/216102026-10-29 14:05:20.314https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Artificial Intelligence as a Supporting Tool in Staff Selection for Businesses in the Construction Sector

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