The association between the effectiveness of human resource management functions and the use of artificial intelligence
Open accessAbstract
The main purpose of this study is to investigate the association between the effectiveness of human resource management (HRM) functions and the use of artificial intelligence (AI).The HRM functions included in this research are recruitment and selection, people analytics, and talent acquisition.A quantitative research design was used in this study.A questionnaire containing 30 questions was prepared and submitted to employees and managers working in companies in three major cities (Riyadh, Jeddah, and Dammam) in Saudi Arabia.Data were collected using the random sampling method.The study used SPSS software to analyse data collected from 50 participants.The findings reveal that there was a statistically significant association between the effectiveness of HRM functions, including recruitment and selection, people analytics, and talent acquisition, and the use of AI.In addition, the correlations between the effectiveness of HRM functions and the use of AI were moderate and strong.The contribution of this study is to enhance the literature on HRM functions and AI.In addition, the study reveals that HRM functions can operate effectively using appropriate AI programs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI in recruitment has the potential for fast resume scanning, quickly and automatically responding to candidate queries, and virtual recruitment activities.
“Baakeel (2020) examined the use of AI in recruitment, and found the potential for fast resume scanning, quickly and automatically responding candidate's queries, and virtual recruitment activities.”
From Unlocking the value of artificial intelligence in human resource management through AI capability framework (2023) · cites this paper as Baakeel (2020)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Research methods for business: A skill building approach
(1993) · Long Range Planning · doi:10.1016/0024-6301(93)90168-f · Cited by 17,000 · see citing works
Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,726 · see citing works
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342 · see citing works
User’s guide to correlation coefficients
Akoglu, H. (2018) · Turkish Journal of Emergency Medicine · doi:10.1016/j.tjem.2018.08.001 · Cited by 5,849 · see citing works
Fundamental Research Statistics for the Behavioral Sciences
Roscoe, J. (2004) · Journal of the American Statistical Association · doi:10.2307/2284880 · Cited by 1,628 · see citing works
Statistics without maths for psychology
Dancey, C. P., & Reidy, J. G. (1999) · Cited by 1,261 · see citing works
Human Resource Management: A Critical Text
Storey, J. W. (1994) · Cited by 964 · see citing works
The human equation: building profits by putting people first
(1998) · Choice Reviews Online · doi:10.5860/choice.35-5750 · Cited by 841 · see citing works
Marketing Research Within a Changing Information Environment
Hair, J. F., Bush, R. P., & Ortinau, D. J. (2003) · Cited by 573 · see citing works
Strategic human resource management: where have we come from and where should we be going?
Boxall, P., & Purcell, J. (2000) · International Journal of Management Reviews · doi:10.1111/1468-2370.00037 · Cited by 453 · see citing works
Users are individuals: individualizing user models
Rich, E. A. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1981.0312 · Cited by 449 · see citing works
Satisfaction with HR practices and commitment to the organisation: why one size does not fit all
Kinnie, N., Hutchinson, S., Purcell, J., Rayton, B., & Swart, J. (2005) · Human Resource Management Journal · doi:10.1111/j.1748-8583.2005.tb00293.x · Cited by 343 · see citing works
Users are individuals: individualizing user models
Rich, E. A. (1983) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(83)80007-8 · Cited by 334 · see citing works
Tell me a story: a new look at real and artificial memory
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5698 · Cited by 294 · see citing works
An Integrated IoT Architecture for Smart Metering
Lloret, J., Tomás, J., Cánovas, A., & Parra, L. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.1600647cm · Cited by 275 · see citing works
People analytics—A scoping review of conceptual boundaries and value propositions
Tursunbayeva, A., Di Lauro, S., & Pagliari, C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.002 · Cited by 263 · see citing works
Artificial Intelligence in Human Resources Management: Challenges and a Path ForwardPreprint
Cappelli, P. H., Tambe, P. B., & Yakubovich, V. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3263878 · Cited by 160 · see citing works
Human Resource Management in Construction Projects
Loosemore, M., Dainty, A., & Lingard, H. C. (2003) · Routledge eBooks · doi:10.4324/9780203417881 · Cited by 146 · see citing works
Berger, L. A., & Berger, D. R. (2003) · Medical Entomology and Zoology · Cited by 135 · see citing works
(2018) · Journal of the Association for Information Systems · Cited by 129 · see citing works
Bratton, J. A., & Gold, J. (2017) · doi:10.1057/978-1-137-58668-1 · Cited by 126 · see citing works
Saidi Mehrabad, M., & Fathian Brojeny, M. (2007) · Computers & Industrial Engineering · doi:10.1016/j.cie.2007.06.023 · Cited by 92 · cited 1× · see citing works
“According to [17], AI can help managers and leaders to make appropriate decisions regarding HRM functions including recruitment, training and development, performance evaluation, and the selection process.”
BackgroundDecision support for team staffing: An automated relational recommendation approach
Malinowski, J., Weitzel, T., & Keim, T. (2007) · Decision Support Systems · doi:10.1016/j.dss.2007.05.005 · Cited by 88 · see citing works
Forecasting future competency requirements: a three‐phase methodology
Robinson, M. A., Sparrow, P., Clegg, C., & Birdi, K. S. (2007) · Personnel Review · doi:10.1108/00483480710716722 · Cited by 85 · see citing works
Human Resource Predictive Analytics (HRPA) For HR Management In Organizations
Mishra, S. N., Lama, D. R., & Pal, Y. (2016) · International journal of scientific and technology research · Cited by 75 · see citing works
Redefining HR using people analytics: the case of Google
Shrivastava, S., Nagdev, K., & Rajesh, A. (2018) · Human Resource Management International Digest · doi:10.1108/hrmid-06-2017-0112 · Cited by 72 · see citing works
Transitioning to a New Hris: The Reshaping of Human Resources and Information Technology Talent
Wiblen, S. L., Grant, D., & Dery, K. (2010) · Research Online (University of Wollongong) · Cited by 60 · see citing works
ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT
R.Bhagyalakshmi, & María, E. (2020) · Studies in Indian Place Names · Cited by 52 · see citing works
Nawaz, N. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/62842019 · Cited by 51 · see citing works
An HR perspective: the global hunt for talent in the digital age
Dickson, D. R., & Nusair, K. (2010) · Worldwide Hospitality and Tourism Themes · doi:10.1108/17554211011012612 · Cited by 44 · see citing works
Artificial intelligence in human resource management
Cappelli, P. H., & Rogovsky, N. (2023) · International Labour Office eBooks · doi:10.54394/ohvv4382 · Cited by 32 · see citing works
The Future of HR in the Presence of AI: A Conceptual StudyPreprint
Rana, T. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3335670 · Cited by 29 · see citing works
van Esch, P., Northey, G., Duffy, S. M., Heller, J., & Striluk, M. (2017) · Journal of Promotion Management · doi:10.1080/10496491.2018.1378300 · Cited by 25 · see citing works
Talent Management : Designing Strategies
Dawn, S. K., & Biswas, S. (2013) · ASBM Journal of Management · Cited by 9 · see citing works
Supriyanto, A. S., & Maharani, V. (2015) · Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton) · Cited by 8 · see citing works
Guillermo, D. L. C. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/67832019 · Cited by 5 · see citing works
Big data analysis: Changing the way
Jain, S. (2016) · International Journal of Research in Advanced Engineering and Technology · Cited by 5 · see citing works
CIÊNCIA, INTELIGÊNCIA ARTIFICIAL E PÓS-MODERNIDADE
Nespoli., Z. B. (2004) · Revista Diálogo Educacional · doi:10.7213/rde.v4i13.7004 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 9
- [22]22. M. Jatoba, I. Gutierriz, P. O. Fernandes, J. P. Teixeira, D. Moscon, "Artificial intelligence in the recruitment & selection: innovation and impacts for the human resources management", Economic and Social Development, pp. 96-104, 2019.
- [23]23. T. M. Almeri, K. R. Martins, and D. D. S.O. Paiva de Paula, "The use of virtual social networks in the recruitment and selection processes", Education Magazine: Education Culture and Communication, pp. 77-93, 2013.
- [24]24. T. D. O. Rosa and H. S. Luz, "Basic concepts of genetic algorithms: Theory and practice", XI Meeting of Tocantins Informatics Students, pp. 27-37, 2009.
- [28]28. D. Peck, "They're watching you at work", The Atlantic, Vol. 312, No. 5, pp. 72-84, 2013.
- [30]30. F. Hansen, "What is talent", Workforce Management, Vol. 86, No. 1, pp. 12-13, 2007.
- [35]35. G. Walford-Wright and W. Schott-Jackson, "Talent rising people analytics technology driving talent acquisition strategy", Strategic HR review, Vol. 17, No. 5, pp. 226-233, 2018.
- [38]38. L. Harasim, "Online education and the implications of artificial intelligence", FAEEBA-Education and Contemporaneity, Vol. 24, No. 44, pp. 25-39, 2015.
- [41]41. L. P. Cintra, J. Barbosa, A. C. Q. Barbosa, D. Franco, "Human resources, skills and performance: (Im) possible articulation in the Minas Gerais Foundation", Administration Magazine FACES Journal, Vol. 16, No. 4, pp. 27-44, 2017.
- [42]42. C. Unahabhokha, K. Platts, and K.H. Tan, "Predictive performance measurement system: A fuzzy expert system approach", Benchmarking: An International Journal, Vol. 14, No. 1, pp. 77-91, 2007.
Cited by
Sorted by citations
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927 · see citing works
Human resources analytics: A systematization of research topics and directions for future research
Margherita, A. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2020.100795 · Cited by 410 · see citing works
Trocin, C., Hovland, I. V., Mikalef, P., & Dremel, C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121081 · Cited by 230 · see citing works
Impact of Artificial Intelligence on Recruitment and Selection of Information Technology Companies
Hemalatha, A., Kumari, P., Nawaz, N., & Gajenderan, V. (2021) · International Conference on Artificial Intelligence and Smart Energy (ICAIS) · doi:10.1109/icais50930.2021.9396036 · Cited by 87 · see citing works
Trends in the thematic landscape of HR analytics research: a structural topic modeling approach
Thakral, P., Srivastava, P. R., Dash, S. S., Jasimuddin, S. M., & Zhang, Z. (2023) · Management Decision · doi:10.1108/md-01-2023-0080 · Cited by 61 · see citing works
Ioakeimidou, D., Chatzoudes, D., Symeonidis, S., & Chatzoglou, P. (2023) · International Journal of Manpower · doi:10.1108/ijm-10-2022-0496 · Cited by 27 · see citing works
IoT-based farm management systems for modern agronomy
Юрьевич, Е. Д., Kukartseva, S. V., Kravtsov, K. I., Kuznetsov, G., & Masich, D. (2025) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh64129.2025.10959282 · Cited by 12 · see citing works
Persson, M., & Wallo, A. (2024) · Gender Technology and Development · doi:10.1080/09718524.2024.2406039 · Cited by 13 · see citing works
Artificial Intelligence-based People Analytics Transforming Human Resource Management Practices
Rai, A., & Singh, L. B. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80382-027-920231012 · Cited by 11 · see citing works
AI-Driven Transformation in Higher Education
Din, M. S. E., & Harrasi, N. A. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-2145-4.ch006 · Cited by 7 · see citing works
Automation and Public Service Values in Human Resource Management
Persson, M., & Wallo, A. (2022) · Progress in IS · doi:10.1007/978-3-030-92644-1_5 · Cited by 6 · see citing works
Leveraging AI in HR Analytics to Foster Green Human Resource Management
John, J. E., & Pramila, S. (2024) · Studies in systems, decision and control · doi:10.1007/978-3-031-67890-5_95 · Cited by 5 · see citing works
A study on the impact of artificial intelligence on talent sourcing
Chand, H. V., Kumar, K. A., Sikanda, S. A., Sabharwal, S., & Kumar, S. A. (2023) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i1.pp1-8 · Cited by 5 · see citing works
The Role of Artificial Intelligence in Human Resources
Hassan, A. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-99000-8_4 · Cited by 5 · see citing works
Artificial Intelligence in HR: Practices and Prospects of the Spread in Ukraine
Tsymbaliuk, S., Vasylyk, A., & Bilyk, O. (2022) · The Eurasia Proceedings of Science Technology Engineering and Mathematics · doi:10.55549/epstem.1176076 · Cited by 4 · see citing works
Sivasubramanian, K., Mukthar, K. P. J., Allauca-Castillo, W., Asís-López, M., Cayotopa-Ylatoma, C., & Mory-Guarnizo, S. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-7874-6_66 · Cited by 2 · see citing works
Ologunoye, O. T., Adisa, T. A., & Mordi, C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4791847
Artificial Intelligence for Employee Selection, Recruitment, and Training in Business Organisations
Mupaikwa, E., & Yadav, P. (2024) · Advances in human resources management and organizational development book series · doi:10.4018/979-8-3693-6412-3.ch001 · Cited by 1 · see citing works
TECHNOLOGY ENABLED SYSTEM IN VARIOUS MANAGEMENT ROLE IN COMPANIES: SPECIAL REFERENCE TO AI
Gogate, S. (2025) · myresearchgo · doi:10.64448/myresearchgo..vol.1.issue.6.026
Kim, M., & Lee, H. (2026) · Annals of Data Science · doi:10.1007/s40745-026-00705-4
Zain, N. R., & Marhendra, A. V. H. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.07.017
- Authors
- Baakeel, O. A.
- Affiliations
- University of Jeddah (SA)
- Corresponding author
- Baakeel, Omar A.
- ORCID
- Baakeel, Omar A.
- Venue
- International Journal of Advanced Trends in Computer Science and Engineering
- Published
- 2020-02-15
- Volume
- 9
- Issue
- 1.1 S I
- Pages
- 606-612
- ISSN
- 2278-3091 (ISSN-L)
- OpenAlex
- W3012375535
- Semantic Scholar
- b357c37ac0519f4e1189f5fd54856c07b038386f
- Cited by
- 21
- References
- 38
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 3
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Advanced Trends in Computer Science and Engineering (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Keywords
- human resources function, artificial intelligence in human resource management, recruitment and selection, HR analytics, talent acquisition, HRM effectiveness, Saudi Arabia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
