{"id":2373,"date":"2024-09-30T09:00:00","date_gmt":"2024-09-30T09:00:00","guid":{"rendered":"https:\/\/atras-univ-saida.dz\/en\/?p=2373"},"modified":"2025-01-30T18:57:36","modified_gmt":"2025-01-30T18:57:36","slug":"leveraging-artificial-intelligence-to-optimize-talent-management-in-higher-education-institutions","status":"publish","type":"post","link":"https:\/\/atras-univ-saida.dz\/en\/?p=2373","title":{"rendered":"Article 29 Issue 03 Vol 5 September 2024"},"content":{"rendered":"\n

Leveraging Artificial Intelligence to Optimize Talent Management in Higher Education Institutions<\/strong><\/h1><\/div><\/div>\n\n\n\n

Mohammed BRIK<\/strong>
Tipaza University Center, Algeria
Briki.mohammed@cu-tipaza.dz<\/a>
https:\/\/orcid.org\/0000-0002-3904-6132
Sara GHERRAB<\/strong>
Ain Temouchent University, Algeria
sara.gherrab@univ-temouchent.edu.dz<\/a>
Hassiba ALMI<\/strong>
Badji Mokhtar – Annaba University, Algeria
hassiba.almi@univ-annaba.dz<\/a>
https:\/\/orcid.org\/0009-0001-7560-754X<\/a><\/p><\/div><\/div>\n\n\n\n

Abstract<\/strong><\/p><\/div><\/div>\n\n\n\n

This research examines integrating talent management strategies\u2014recruitment, development, and retention\u2014with artificial intelligence in higher education institutions. The study aims to address how artificial intelligence can enhance talent management by recruiting technologically proficient staff, facilitating knowledge transfer, and automating routine tasks. Methodologically, the research draws on the descriptive-analytical method and qualitative data from case studies and expert interviews within university settings. Findings indicate that artificial intelligence significantly improves efficiency in human resources processes and promotes a shared vision between universities and stakeholders regarding the effective use of artificial intelligence for managing large datasets swiftly and accurately. The implications suggest that higher education institutions should invest in AI technologies and training to align with evolving educational needs and enhance institutional performance.<\/p><\/div><\/div>\n\n\n\n

Keywords:<\/strong> Artificial Intelligence, Higher Education Institutions, human resources, talent management, technology integration<\/p><\/div><\/div>\n\n\n

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DOI:<\/strong>
https:\/\/doi.org\/10.70091\/atras\/AI.29<\/strong><\/h1><\/div><\/div>\n\n\n\n

How to Cite this Paper :<\/strong><\/strong> <\/p><\/div><\/div>\n\n\n\n

Briki, M., Gherrab, S., & Almi, H. (2024). Leveraging Artificial Intelligence to Optimize Talent Management in Higher Education Institutions. Atras Journal,  5<\/em>(Special Issue), 464-480.<\/p><\/div><\/div>\n\n\n\n

References<\/strong>:<\/p><\/div><\/div>\n\n\n\n

Abdul Wahab, O. M. (2020). The Impact of Talent Management Strategy on Enhancing Organizational Effectiveness: An Exploratory Study at the Continuing Education Center. Business Economics and Trade Journal, 5<\/em>(2), 29-52.
Aboud, S. (2023). Artificial Intelligence and Human Resource Management: New Horizons and Challenges. Journal of Management and Economics Research, 5<\/em>(3), 547\u2013565.
Abusahlab, I. (2023). The Impact of Integrated Talent Management According to IBM’s Business Value Institute on Talent Management Perception in the Palestinian Public Sector in Gaza. Algerian Journal of Economic Performance, 7<\/em>(1), 122-141.
Amelia, E., & Rofaida, R. (2023). Talent Management in Organizations: Systematic Literature Review. Airlangga Journal of Innovation Management, 4<\/em>(1), 41-59.
Arslan, A., Cooper, C., Khan, Z., Golgeci, I., & ALI, I. (2022). Artificial intelligence and human workers interaction at the team level: a conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, 43<\/em>(1), 75-88.
Awad, M. H. (2023). Reliance on Artificial Intelligence During the COVID-19 Pandemic and Its Negative Effects on Ethical Systems. Islamic Sciences and Civilization Journal, 8<\/em>(01), 1\u201312.
Cichosz, M., Wallenburg, C. M., & Knemeyer, A. M. (2020). Digital transformation at logistics service providers: barriers, success factors, and leading practices. The International Journal of Logistics Management, 31<\/em>(2), 209-238.
Bruyn, A. D., Viswanathan, V., Beh, Y. S., Brock, J. K. U., & Wangenheim, F. v. (2020). Artificial intelligence and marketing: pitfalls and opportunities. Journal of Interactive Marketing, 51(1), 91-105. https:\/\/doi.org\/10.1016\/j.intmar.2020.04.007<\/a>
El-AZZam., F. (2016). Talent Management Strategies and Their Role in Achieving Competitive Advantage: A Case Study of Princess Rahma Educational Children’s Hospital in Jordan. Conference on Modern Trends in Business Management.<\/em> Amman, Jordan: Arab University for Graduate Studies.
El-Harithi, K., El-Harithi, A., & El-Ani, W. (2015). The State of Talent Management for Emerging School Leaders in Schools and Directorates of Education in Oman. Jordanian Journal of Educational Sciences, 11<\/em>(2), 201\u2013214.
Elleter, F., & et al. (2018). Applying Neural Networks for Loan Decisions in the Jordanian Commercial Banking System. International Journal of Computer Science and Network Security, 10<\/em>(01), 209-214.
El-Skran, B. A. (2019). The effectiveness of talent management strategies in the development of human resources teaching from the point of view of the leaders and members of the faculty of Taibah University. Journal of Educational and Psychological Sciences, 3<\/em>(15), 28-50.
El-Thubaiti., K. (2015). Leadership Talent Management Strategy in Government Institutions. 6th Management and Business Forum.<\/em> Khobar: Saudi Arabia.
Eubanks, B. (2022). Artificial intelligence for HR: Use AI to support and develop a thriving workforce. Kogan Page Publishers 10<\/em>(01), 1\u201320.
Garavan, T. N., Carbery, R., & Rock, A. (2012). Mapping talent development: definition, scope, and architecture. European Journal of Training and Development, 36<\/em>(1), 5\u201324.
Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & VIKAS, J. (2022). Consumers\u2019 adoption of artificial intelligence and robotics in hospitality and tourism: literature review and future research agenda. Tourism Review, 77<\/em>(4), 1081-1096.
Hajjou, F. M. (2022). Applications of Artificial Intelligence in Human Resource Management<\/em>. Retrieved from new-educ: https:\/\/www.new-educ.com\/
Ibrahim, Y. (2024). Best practices and strategies for talent acquisition, retention, and development in Egypt. Journal of Human Resource and Leadership, 9<\/em>(1), 54\u201364.
Jebbari, L. (2017). The Role of Artificial Intelligence Models in Decision-Making. Humanities Journal, 3<\/em>(1), 1\u201314.
Jebril, M. W., & El-Ferjani, A. F. (2022). The Reality of Talent Management Systems in Technical Higher Education Institutions in Derna from the Perspective of Faculty Members. Innovation and Marketing Journal, 7<\/em>(1), 125-154.
Kambur, E., & Akar, C. (2021). Human resource developments with the touch of artificial intelligence: a scale development study. International Journal of Manpower, 43<\/em>(1), 168-205.
Li, M. (2024). The impact of artificial intelligence on human resource management systems – applications and risks. Applied and Computational Engineering, 48<\/em>(1), 7\u201316.
Maamri, M., & Bouchekoua, S. (2023). The Application of Artificial Intelligence in Digital Media: Great Opportunities and Greater Challenges. Media and Communication Studies Journal, 3<\/em>(2), 3439-3443.
Madkour, M. (2021). Artificial Intelligence and the Future of Distance Learning. Journal of Studies in Development and Society, 6<\/em>(3), 72\u201383.
Maity, S. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development, 38<\/em>(8), 651\u2013663.
MaKdoud, W. (2015). Talent Management: Optimal Investment for 21st Century Organizations. Journal of Research and Scientific Studies, 9<\/em>(2), 74\u201381.
Mattalatta, Y., & Andriani, Y. (2023). Influence of Human Resource Management on Organizational Performance with Talent Management Mediation. Innovation Business Management and Accounting Journal, 2<\/em>(3).147-156.
Monad, M. (2013). Artificial Intelligence Between Human Needs and Moral Imperatives. Blogging Journal, 15<\/em>(1), 5\u20137.
Palos-S\u00e1nchez, P. et al. (2022). Artificial Intelligence and Human Resources Management: A Bibliometric Analysis. Applied Artificial Intelligence, 36<\/em>(1), 1-28.
Sabian, I., & Thabet, W. (2017). “Talent Management”: New Horizons for Intelligent Human Resource Management in Algerian Institutions\u2014Proposal of a Model. Economic Policies Journal, 5<\/em>(3),106- 114.
Saxena, R., & Kumar, Y. (2020). Influence of artificial intelligence on work, people and the firm: A multi-industry perspective. Human & Technological Resource Management (HTRM): new insights into. Revolution 4 <\/em>(2), 8\u201334.
Semioud, L., & Dahmani, S. (2022). Artificial Intelligence as a Digital Technology Leading to Innovative Educational Experiences in Algeria. Media and Communication Studies Journal, 2<\/em>(2), 201 – 217.
Shaffer, M. A., Harrison, D. A., Gregersen, H., Black, J. S., & Ferzandi, L. A. (2006). You can take it with you: individual differences and expatriate effectiveness. Journal of Applied Psychology, 91<\/em>(1), 1-19.
Shen, S., & Deng, Y. (2024). A performance prediction method for talent team building based on integrated isa-bp neural networks. ICST Transactions on Scalable Information Systems, 4<\/em>(2), 1-18.
Shenafi, N. (2020). Talent Management: The Foundation of Organizational Excellence in the Knowledge Economy. Al-Hadath Journal of Financial and Economic Studies,  Mohammed Khider University of Biskra, 8<\/em>(5),14\u201325.
Shili, E. (2023). Human Resource Management Amidst Challenges of Artificial Intelligence Application. Arsad Journal of Economic and Administrative Studies, 6<\/em>(1), 382\u2013393.
Shui, L., Feng, Y., Zhong, M., & Qin, Y. (2024). Application-oriented talent training for music majors in colleges and universities based on internet remote technology. International Journal of Web-Based Learning and Teaching Technologies, 19<\/em>(1), 1\u201312.
Sundarapandiyan, N. D. et al. (2024). AI-Powered Strategies for Talent Management Optimization. Journal of Informatics Education and Research, 4<\/em>(2), 854-860.
Tarshan, H. (2023). Human Talent Management in Higher Education Institutions: Models from the United States and Malaysia. Al-Risala Journal for Human Studies and Research, 8<\/em>(1),8\u201315.<\/em>
Tiwari, P., Pandey, R., Garg, V., & Singhal, A. (2021). Application of artificial intelligence in human resource management practices. 11th International Conference on Cloud Computing<\/em> (pp. 159-163). Data Science & Engineering (Confluence).
Vedapradha, R. et al.  (2024). Artificial intelligence\u2013talent acquisition in HEIs recruitments. The International Journal of Information and Learning Technology, (ahead-of-print). 41<\/em>(3), 230-243.<\/p><\/div><\/div>\n\n\n\n

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Copyright for all articles published in ATRAS <\/strong>belongs to the author. The authors also grant permission to the publisher to publish, reproduce, distribute, and transmit the articles. ATRAS <\/strong>publishes accepted papers under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. Authors submitting papers for publication in ATRAS <\/strong>agree to apply the CC BY-NC 4.0 license to their work. For non-commercial purposes, anyone may copy, redistribute material, remix, transform, and construct material in any media or format, provided that the terms of the license are observed and the original source is properly cited.<\/p><\/div><\/div>\n\n\n\n

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The implications suggest that higher education institutions should invest in AI technologies and training to align with evolving educational needs and enhance institutional performance","breadcrumb":{"@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2373#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/atras-univ-saida.dz\/en\/?p=2373"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2373#primaryimage","url":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","contentUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/09\/vol-05-n03-2024.png","width":437,"height":565},{"@type":"BreadcrumbList","@id":"https:\/\/atras-univ-saida.dz\/en\/?p=2373#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/atras-univ-saida.dz\/en\/"},{"@type":"ListItem","position":2,"name":"Article 29 Issue 03 Vol 5 September 2024"}]},{"@type":"WebSite","@id":"https:\/\/atras-univ-saida.dz\/en\/#website","url":"https:\/\/atras-univ-saida.dz\/en\/","name":"ATRAS journal","description":"ATRAS is a double-blind, peer-reviewed, and multidisciplinary journal issued by the Faculty of Letters, Languages, and Arts, Saida University","publisher":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#organization"},"alternateName":"ATRAS journal","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/atras-univ-saida.dz\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/atras-univ-saida.dz\/en\/#organization","name":"ATRAS journal","alternateName":"ATRAS is a double-blind, peer-reviewed, and multidisciplinary journal issued by the Faculty of Letters, Languages, and Arts, Saida University","url":"https:\/\/atras-univ-saida.dz\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/logo\/image\/","url":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/05\/logo-512x512-1.png","contentUrl":"https:\/\/atras-univ-saida.dz\/en\/wp-content\/uploads\/2024\/05\/logo-512x512-1.png","width":512,"height":512,"caption":"ATRAS journal"},"image":{"@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/p\/ATRAS-journal-100083161450894\/"]},{"@type":"Person","@id":"https:\/\/atras-univ-saida.dz\/en\/#\/schema\/person\/ad5e6fcff0b37638480b00e92868cd64","name":"atras","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/607d3e9ced6ad1403645c0d9854f1d33abaeefbd7fecc154ab8216f3dd005418?s=96&d=mm&r=g","caption":"atras"},"url":"https:\/\/atras-univ-saida.dz\/en\/?author=2"}]}},"_links":{"self":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2373"}],"version-history":[{"count":3,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2373\/revisions"}],"predecessor-version":[{"id":2573,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/posts\/2373\/revisions\/2573"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=\/wp\/v2\/media\/2246"}],"wp:attachment":[{"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atras-univ-saida.dz\/en\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}