Performance Assessment Centers and Human Resources Competency Development in the Light of Artificial Intelligence
Subject Areas : Management
1 - Assistant Professor, Department of Public Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Keywords: Human Resource Management, Competency Assessment and Development Center, Artificial Intelligenc. ,
Abstract :
The role of conscious management in performance appraisal centers and human resource development by managers in increasing organizational productivity is undeniable. However, it is important to note that this argument will not be made in a theoretical vacuum. The researcher must consider reviewing sensitive theoretical concepts and previous findings. In this context, the current applied research aims to provide a comprehensive narrative of recent years research findings on the opportunities and challenges of performance appraisal centers influenced by developments in artificial intelligence. This research takes an idea-based approach to enhance the knowledge of human resource managers at both individual and organizational levels. In order to examine the reliability and validity of the data, information was obtained from websites approved by the Ministry of Science and Research. According to Strauss, Corbin, and Glasser, this approach is reassuring in ensuring the reliability, transferability, and validity of the research findings. This article introduces readers to evaluation centers and their significance in organizational management. This study can assist public sector human resources specialists in evaluating the alignment of decision-making areas within evaluation centers.
References:
Ahsan, M. J. (2025). Cultivating a culture of learning: the role of leadership in fostering lifelong development. The Learning Organization, 32(2), 282-306; doi/210.1108/TLO-1103-2024-0099/full/html.
Akbari, m., fayyazi, m., & Jamshidi, h. (2016). Identification and Prioritization of the Problems of the Evaluation and Development Centers in Iran. Journal of Research in Human Resources Management, 8(1), 103-130; https://dor.isc.ac/dor/120.1001.1001.20084528.20081395.20084528.20084521.20084524.20084523. https://hrmj.ihu.ac.ir/article_19980_a67c615f5c5fc8fef143dee6cafbf5a7.pdf
Bastida, M., García, A. V., Taín, M. Á. V., & Araujo, M. D. R. (2025). From automation to augmentation: Human Resource's journey with Artificial Intelligence. Journal of Industrial Information Integration, 100872; science/article/pii/S2452414X25000950.
Bautista, S. N., Mosqueira, E., & Lafuente, M. (2024). Better Governments for Better Lives: Strengthening State Capacities for Strategic, Meritocratic, and Inclusive Management of Civil Service in Latin America and the Caribbean: Executive Summary; http://dx.doi.org/10.18235/0013424.
Bhatia, S., Arora, V., & Batra, S. (2024). The Role of Artificial Intelligence in Developing an Effective Training Assessment Tool. In AI-Oriented Competency Framework for Talent Management in the Digital Economy (pp. 244-255; 9781003440901). CRC Press.
Bray, D. W. (1982). The assessment center and the study of lives. American Psychologist, 37(2), 180; https://psycnet.apa.org/record/1982-24649-24001.
Burns, J. K., Etherington, C., Cheng‐Boivin, O., & Boet, S. (2024). Using an artificial intelligence tool can be as accurate as human assessors in level one screening for a systematic review. Health Information & Libraries Journal, 41(2), 136-148; https://doi.org/110.1111/hir.12413.
Cao, C., Chen, M., Tang, X., & Liu, H. . . (2025). Linking information technology use with corporate entrepreneurship: The mediation role of openness to external knowledge. Information Systems Journal, 35(1), 71-96; https://doi.org/10.1111/isj.12529.
Chaka, C. (2023). Fourth industrial revolution—a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning, 18, 002-002.
Chukwuka, E. J., & Dibie, K. E. (2024). Strategic role of artificial intelligence (AI) on human resource management (HR) employee performance evaluation function. International Journal of Entrepreneurship and Business Innovation, 7(2), 269-282; https://www.doi.org/210.52589/IJEBI-HET52585STYK.
David, S., Zinica, D., Bărbuță-Mișu, N., Savga, L., & Virlanuta, F.-O. (2024). Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm. Technological Forecasting and Social Change, 199, 123088. https://doi.org/9781394220977, 1394220979
Douglas, A. M. (2024). Cross-Functional Training and Development Methods for African American Women That Impact Their Advancement to Executive Management Positions University of Maryland University College; digital/collection/p15434coll5/id/1440/].
Fathi Vajargah, K., Mostafavi Montazeri, S. A., & Khorasani, A. (2022). Identifying and modeling the challenges of effective use of the Development Center in Tehran Oil Refining Company [Research]. Strategic studies in the oil and energy industry, 13(52), 59-80; http://iieshrm.ir/article-51-1355-en.html. http://iieshrm.ir/article-1-1355-en.html
Geloune, R. B. (2024). Predictive Accuracy of Performance in Knowledge Work: Comparison of Human Judgment, Regression and Artificial Intelligence Models Case Western Reserve University; https://www.proquest.com/openview/7c67890b075d1bf69ef631614dc05e55/1?pq-origsite=gscholar&cbl=18750&diss=y].
Gopane, S., Kotecha, R., Obhan, J., & Pandey, R. K. (2024). CHEAT DETECTION IN ONLINE EXAMINATIONS USING ARTIFICIAL INTELLIGENCE. ASEAN Engineering Journal, 14(1), 121-128; https://doi.org/110.11113/aej.v11114.20188.
Grunenberg, E., Stachl, C., Breil, S. M., Schäpers, P., & Back, M. D. (2025). Predicting and Explaining Assessment Center Judgments: A Cross Validated Behavioral Approach to Performance Judgments in Interpersonal Assessment Center Exercises. Human Resource Management, 64(2), 423-445; https://doi.org/410.1002/hrm.22252.
Gruzina, I., & Pererva, I. (2023). Investigation of the dynamics of investment processes in Ukraine in the context of ensuring competence of organizations on the European market; http://repository.hneu.edu.ua/handle/123456789/33782.
Gusain, A., Singh, T., Pandey, S., Pachourui, V., Singh, R., & Kumar, A. (2023). E-recruitment using artificial intelligence as preventive measures. 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS); https://doi.org/10.1109/ICSCDS56580.2023.10105102,
Hickey, S., & Correia, A.-P. (2024). Centering the learner within instructional design: the evolution of learning design and the emergence of learning experience design (LXD) in Workforce training and development. Journal of Educational Technology Systems, 52(4), 429-447; 00472395231226094.
Hossaini, Z. (2019). Resources Development Centers
Transition from Assessment Centers to Human Resources Development Centers in Iran Using Artificial Intelligence. The 7th National Conference on Human Capital Education and Development. https://doi.org/https://civilica.com/doc/1272362
Ibrahim, M., & Rasheed, A. (2024). Exploring the Link Between Customer Relationship Management and Hotel Performance. Journal of Policy Options, 7(1), 1-10; http://resdojournals.com/index.php/jpo/article/view/348.
Ingaggiati, M., Barbato, G., Guerci, M., & Ruffini, R. (2024). Reimagining the bureaucracy and post-bureaucracy debate: a systematic literature review on paradoxes in public administration. Public Management Review, 1-30; https://doi.org/10.1109/ICSCDS56580.52023.10105102.
Jackson, D. J., Michaelides, G., Dewberry, C., & Yang, W.-N. (2025a). The expert assessor perspective on assessment center taxonomies. Human Performance, 38(1), 1-27; doi/abs/10.1002/9781405164221.ch9781405164211.
Jackson, D. J., Michaelides, G., Dewberry, C., & Yang, W.-N. (2025b). The expert assessor perspective on assessment center taxonomies. Human Performance, 38(1), 1-27; https://doi.org/10.1080/08959285.08952024.02428190.
Jiang, L., & Qu, Y. (2024). Assessing core competencies of business English students in Chinese higher vocational colleges. Scientific Reports, 14(1), 29328; 29328; https://doi.org/29310.21038/s41598-29024-78898-y.
Jovari, B. (2024a). Artificial Intelligence Ethics in Organizational Human Resources Management. International Journal of Management, Accounting and Economics, 11(7), 930-950. https://doi.org/10.5281/zenodo.12752414
Jovari, B. (2024b). E-Human resources management model in smart city management (In the light of e-government requirements). New Applied Studies in Management, Economics & Accounting, 7(4), 153-168; https://doi.org/110.22034/nasmea.22024.198068. https://doi.org/10.22034/nasmea.2024.198068
Jovari, B. (2024c). E-Human resources management model in smart city management (In the light of e-government requirements). New Applied Studies in Management, Economics & Accounting, 7(4), 153-168.
Jovari, B. (2024d). International Scientometric Systems: A study of acceptance management in academic communities., International Journal of Information Science and Management, 22(21).doi:10.22034/ijism.22023.1977966.1977960.
Jovari, B., & Yeganegi, K. (2024). Explaining the role of various organizational activities in financial performance with emphasis on the mediating role of human capital (Case study: Private banks). New Applied Studies in Management, Economics & Accounting, 7(2), 18-31; doi: 10.22034/nasmea.22024.185691. https://doi.org/10.22034/nasmea.2024.185691
Julian, A., & Haripriya, K. (2024). NLP based Resume Analysis and Adaptive Skill Assessment System. 2024 3rd International Conference for Innovation in Technology (INOCON),
Kaur, G., Kaur, M., & Rawat, B. (2024). A Study on Employee Competency Management System. Technology Conference (KHI-HTC), 1-7; https://doi.org/10.1109/KHI-HTC60760.62024.10481947.
Khakifirooz, M., Fathi, M., & Dolgui, A. (2024). Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI. International Journal of Production Research, 1-35.
Kharub, M., Mondal, S., Singh, S., & Gupta, H. (2025a). Evaluation of competency dimensions for employee performance assessment: evidence from micro, small, and medium enterprises. International Journal of Productivity and Performance Management, 74(1), 107-138; https://doi.org/110.1108/IJPPM-1107-2023-0379.
Kharub, M., Mondal, S., Singh, S., & Gupta, H. (2025b). Evaluation of competency dimensions for employee performance assessment: evidence from micro, small, and medium enterprises. International Journal of Productivity and Performance Management, 74(1), 107-138;https://doi.org/110.1108/IJPPM-1107-2023-0379.
Koutsoumpis, A., Ghassemi, S., Oostrom, J. K., Holtrop, D., Van Breda, W., Zhang, T., & de Vries, R. E. (2024). Beyond traditional interviews: Psychometric analysis of asynchronous video interviews for personality and interview performance evaluation using machine learning. Computers in Human Behavior, 154, 108128; https://doi.org/108110.101016/j.chb.102023.108128.
Lievens, F., & Thornton III, G. C. (2017). Assessment centers: Recent developments in practice and research. The Blackwell handbook of personnel selection, 243-264; /doi/abs/210.1002/9781405164221.ch9781405164211.
Liu, Y., & Song, P. (2024). R Network Process. (2024). esearch on the Application Maturity of Enterprises’ Artificial Intelligence Technology Based on the Fuzzy Evaluation Method and Analytic. Applied Sciences, 14(17), 7804. https://doi.org/7810.3390/app14177804.
Maghsoudi, M., Shahri, M. K., Kermani, M. A. M. A., & Khanizad, R. (2023). Unveiling the Collaborative Patterns of Artificial Intelligence Applications in Human Resource Management: A Social Network Analysis Approach. arXiv preprint arXiv:2308.09798.
McAlpine, M. (2002). Principles of assessment.CAA Centre, University of Luton Luton.
Michelotti, M., McColl, R., Puncheva‐Michelotti, P., Clarke, R., & McNamara, T. (2024). The effects of medium and sequence on personality trait assessments in face‐to‐face and videoconference selection interviews: Implications for HR analytics. Human Resource Management Journal,, 34(2), 292-310; https://doi.org/210.1111/1748-8583.12425.
Mohammad, E. Y. (2025). Management Policies for Education in the Age of Globalization. EuroGlobal Journal of Linguistics and Language Education, 2(3), 4-20; https://doi.org/10.3390/su17135951.
Mujtaba, D. F., & Mahapatra, N. R. (2024). Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions. arXiv preprint arXiv:2405.19699.
Odedokun, E. (2024). Appraisal of Assessment Centre as Management Tool for Personnel Selection. FUOYE JOURNAL OF PUBLIC ADMINISTRATION AND MANAGEMENT (FJPAM), 2(2), 14-14.
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), em2307.
Padhi, A., Agarwal, A., Saxena, S. K., & Katoch, C. (2023a). Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook. VirusDisease, 34(3), 345-355; https://doi.org/310.1007/s13337-13023-00841-y.
Padhi, A., Agarwal, A., Saxena, S. K., & Katoch, C. (2023b). Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook. VirusDisease, 34(3), 345-355.
Paramesha, M., Rane, N. L., & Rane, J. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133; https://ssrn.com/abstract=4855856.
Pillay, T. S., Jafri, L., & Punchoo, R. (2025). Formulation of workplace-based assessments (WBAs) and entrustable professional activities (EPAs) for postgraduate medical trainees in clinical biochemistry. Journal of Clinical Pathology, 78(4), 240-250; https://doi.org/210.1136/jcp-2024-209796.
Piwowar-Sulej, K., & Bąk-Grabowska, D. (2024). Developing future competencies of people employed in non-standard forms of employment: employers’ and employees’ perspective. Personnel Review, 53(3), 721-742; https://www.emerald.com/insight/0048-3486.htm.
Radonjić, A., Duarte, H., & Pereira, N. (2024). Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges. European Management Journal, 42(1), 57-66.
Rejeki, S., Sugiarto, A., Nuraini, C., & Milanie, F. (2024). ASSESSMENT OF PORT CITY SERVICE CENTER ALIGNMENT IN THE TERRAIN. International Journal on Livable Space, 9(2), 109-128; https://doi.org/110.25105/livas.v25109i25102.19747.
Riggio, R. E., Jacobs, R., & Loviscky, G. (2025a). USING ASSESSMENT CENTERS FOR LEADER DEVELOPMENT AND ASSESSMENT. Moving the Needle: What We Know (and Don’t Know) About Developing Leaders, 27; https://www.google.com/books/edition/Moving_the_Needle/vZtiEQAAQBAJ.
Riggio, R. E., Jacobs, R., & Loviscky, G. (2025b). USING ASSESSMENT CENTERS FOR LEADER DEVELOPMENT AND ASSESSMENT. Moving the Needle: What We Know (and Don’t Know) About Developing Leaders, 27.
Sadek, K., & Karkoulian, S. (2025). Green performance appraisal impact on organizational sustainability: exploring the role of green knowledge and behavior in Lebanese firms. Social Responsibility Journal, 21(1), 198-215; https://doi.org/110.1108/SRJ-1104-2024-0251.
Salvadorinho, J., Ferreira, C., & Teixeira, L. (2024). A technology-based framework to foster the lean human resource 4.0 and prevent the great resignation: The talent management lift. Technology in Society, 77, 102510; https://doi.org/102510.101016/j.techsoc.102024.102510.
Sarlak, M. A., abedi ardakani, m., Darvish, H., & Forati, H. (2022). Identifying indicators of staff competency development in the center of evaluation and development with an interpretive structural modeling approach. Interdisciplinary Studies on Strategic Knowledge, 5(20), 37-58; https://dor.isc.ac/dor/20.1001.1001.74672588.74671400.74672585.74672520.74672582.74672580. https://issk.sndu.ac.ir/article_1779_2345d44344cb7d363d858563130bb52a.pdf
Sarver, K. L., Fogarty, K., Johns, T., Hensley, S. T., & Pracht, D. W. (2024). Volunteer Training, Tenure, Characteristics and Facilitation of Essential Elements for Youth Development. Journal of Youth Development, 19(2 ).
Senses, S., & Kumral, M. (2024). Trade-off between time and cost in project planning: a simulation-based optimization approach. Simulation, 100(2), 127-143.
Setiawati, A. P., & Mujanah, S. (2025). Inclusive Talent Development as A Key for Talent Management and Talent Retention to Achieve Sustainable Human Resource Management in Rural Bank Sharia Indonesia. Journal of Ecohumanism, 4(1), 1024–1033-1024–1033; https://doi.org/1010.62754/joe.v62754i62751.65907.
Shammi, S. A., Ghosh, P., Sutradhar, A., Shamrat, F. J. M., Moni, M. A., & De Oliveira, T. E. A. (2024). Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases. IEEE Transactions on Computational Social Systems.
Sharma, S., & Malodia, L. (2022). Competency mapping: building a competent workforce through competency-based human resource information system. Journal of Information and Optimization Sciences, 43(7), 1749-1762.
Shirani, M. (2025). Trends and classification of artificial intelligence models utilized in dentistry: A bibliometric study. Cureus, 17(4 ).
Sidki, M., Boerger, L., & Boll, D. (2024). The effect of board members’ education and experience on the financial performance of German state-owned enterprises. Journal of Management and Governance, 28(2), 445-482.
Smirnova, Z. V., Cherney, O. T., Skachkova, E. G., Garina, E. P., & Romanovskaya, E. V. (2025). Improving the Sustainable Development of the Personnel Management System in Service Organizations Using the Competency-based Approach in Education and HRM. In Lifelong Learning in Central Asia: Relevance of the Fourth Industrial Revolution (pp. 55-63; https://doi.org/10.1007/1978-1981-1096-1941-1002_1006). Springer.
Sonmez Cakir, F., Kalaycioglu, O., & Adiguzel, Z. (2024). Examination the effects of organizational innovation and knowledge management strategy in information technology companies in R&D departments on service quality and product innovation. Information Technology & People, 37(4), 1540-1559; https://doi.org/1510.1108/ITP-1503-2022-0196.
Stone, R. J., Cox, A., Gavin, M., & Carpini, J. (2024). Human resource management.John Wiley & Sons.
Thornton III, G. C., & Rupp, D. E. (2006). Assessment centers in human resource management: Strategies for prediction, diagnosis, and development.Psychology Press.
Ujlayan, A., Bhattacharya, S., & Sonakshi. (2023). A Machine Learning-Based AI Framework to Optimize the Recruitment Screening Process. International Journal of Global Business and Competitiveness, 18(Suppl 1), 38-53.
Valerio, C., & Etheridge, L. (2024). Assessment techniques. Oxford Handbook of Medical Education in Practice.
Vergara, D., Antón-Sancho, Á., & Fernández-Arias, P. (2024). Engineering professors' habits: didactic use of Information and Communication Technologies (ICT). Education and Information Technologies, 29(6), 7487-7517; https://doi.org/7410.1007/s10639-10023-12110-y.
Yaghoubi, E., Yaghoubi, E., Khamees, A., Razmi, D., & Lu, T. (2024). A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior. Engineering Applications of Artificial Intelligence, 135, 108789.
Yenugula, M., Sahoo, S., & Goswami, S. (2024). Cloud computing for sustainable development: An analysis of environmental, economic and social benefits. Journal of future sustainability, 4(1), 59-66; http://dx.doi.org/10.5267/j.jfs.2024.5261.5005.
Zhang, X., Wang, P., & Peng, L. (2024). Developing a Competency Model for Human Resource Directors (HRDs) in Exponential Organizations Undergoing Digital Transformation. Sustainability, 16(23), 10540; https://www.mdpi.com/12071-11050/10516/10523/10540#.
Zhou, Q., Li, B., Han, L., & Jou, M. (2023). Talking to a bot or a wall? How chatbots vs. human agents affect anticipated communication quality. Computers in Human Behavior, 143, 107674; https://doi.org/107610.101016/j.chb.102023.107674.
Ahsan, M. J. (2025). Cultivating a culture of learning: the role of leadership in fostering lifelong development. The Learning Organization, 32(2), 282-306; doi/210.1108/TLO-1103-2024-0099/full/html.
Akbari, m., fayyazi, m., & Jamshidi, h. (2016). Identification and Prioritization of the Problems of the Evaluation and Development Centers in Iran. Journal of Research in Human Resources Management, 8(1), 103-130; https://dor.isc.ac/dor/120.1001.1001.20084528.20081395.20084528.20084521.20084524.20084523. https://hrmj.ihu.ac.ir/article_19980_a67c615f5c5fc8fef143dee6cafbf5a7.pdf
Bastida, M., García, A. V., Taín, M. Á. V., & Araujo, M. D. R. (2025). From automation to augmentation: Human Resource's journey with Artificial Intelligence. Journal of Industrial Information Integration, 100872; science/article/pii/S2452414X25000950.
Bautista, S. N., Mosqueira, E., & Lafuente, M. (2024). Better Governments for Better Lives: Strengthening State Capacities for Strategic, Meritocratic, and Inclusive Management of Civil Service in Latin America and the Caribbean: Executive Summary; http://dx.doi.org/10.18235/0013424.
Bhatia, S., Arora, V., & Batra, S. (2024). The Role of Artificial Intelligence in Developing an Effective Training Assessment Tool. In AI-Oriented Competency Framework for Talent Management in the Digital Economy (pp. 244-255; 9781003440901). CRC Press.
Bray, D. W. (1982). The assessment center and the study of lives. American Psychologist, 37(2), 180; https://psycnet.apa.org/record/1982-24649-24001.
Burns, J. K., Etherington, C., Cheng‐Boivin, O., & Boet, S. (2024). Using an artificial intelligence tool can be as accurate as human assessors in level one screening for a systematic review. Health Information & Libraries Journal, 41(2), 136-148; https://doi.org/110.1111/hir.12413.
Cao, C., Chen, M., Tang, X., & Liu, H. . . (2025). Linking information technology use with corporate entrepreneurship: The mediation role of openness to external knowledge. Information Systems Journal, 35(1), 71-96; https://doi.org/10.1111/isj.12529.
Chaka, C. (2023). Fourth industrial revolution—a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning, 18, 002-002.
Chukwuka, E. J., & Dibie, K. E. (2024). Strategic role of artificial intelligence (AI) on human resource management (HR) employee performance evaluation function. International Journal of Entrepreneurship and Business Innovation, 7(2), 269-282; https://www.doi.org/210.52589/IJEBI-HET52585STYK.
David, S., Zinica, D., Bărbuță-Mișu, N., Savga, L., & Virlanuta, F.-O. (2024). Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm. Technological Forecasting and Social Change, 199, 123088. https://doi.org/9781394220977, 1394220979
Douglas, A. M. (2024). Cross-Functional Training and Development Methods for African American Women That Impact Their Advancement to Executive Management Positions University of Maryland University College; digital/collection/p15434coll5/id/1440/].
Fathi Vajargah, K., Mostafavi Montazeri, S. A., & Khorasani, A. (2022). Identifying and modeling the challenges of effective use of the Development Center in Tehran Oil Refining Company [Research]. Strategic studies in the oil and energy industry, 13(52), 59-80; http://iieshrm.ir/article-51-1355-en.html. http://iieshrm.ir/article-1-1355-en.html
Geloune, R. B. (2024). Predictive Accuracy of Performance in Knowledge Work: Comparison of Human Judgment, Regression and Artificial Intelligence Models Case Western Reserve University; https://www.proquest.com/openview/7c67890b075d1bf69ef631614dc05e55/1?pq-origsite=gscholar&cbl=18750&diss=y].
Gopane, S., Kotecha, R., Obhan, J., & Pandey, R. K. (2024). CHEAT DETECTION IN ONLINE EXAMINATIONS USING ARTIFICIAL INTELLIGENCE. ASEAN Engineering Journal, 14(1), 121-128; https://doi.org/110.11113/aej.v11114.20188.
Grunenberg, E., Stachl, C., Breil, S. M., Schäpers, P., & Back, M. D. (2025). Predicting and Explaining Assessment Center Judgments: A Cross Validated Behavioral Approach to Performance Judgments in Interpersonal Assessment Center Exercises. Human Resource Management, 64(2), 423-445; https://doi.org/410.1002/hrm.22252.
Gruzina, I., & Pererva, I. (2023). Investigation of the dynamics of investment processes in Ukraine in the context of ensuring competence of organizations on the European market; http://repository.hneu.edu.ua/handle/123456789/33782.
Gusain, A., Singh, T., Pandey, S., Pachourui, V., Singh, R., & Kumar, A. (2023). E-recruitment using artificial intelligence as preventive measures. 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS); https://doi.org/10.1109/ICSCDS56580.2023.10105102,
Hickey, S., & Correia, A.-P. (2024). Centering the learner within instructional design: the evolution of learning design and the emergence of learning experience design (LXD) in Workforce training and development. Journal of Educational Technology Systems, 52(4), 429-447; 00472395231226094.
Hossaini, Z. (2019). Resources Development Centers
Transition from Assessment Centers to Human Resources Development Centers in Iran Using Artificial Intelligence. The 7th National Conference on Human Capital Education and Development. https://doi.org/https://civilica.com/doc/1272362
Ibrahim, M., & Rasheed, A. (2024). Exploring the Link Between Customer Relationship Management and Hotel Performance. Journal of Policy Options, 7(1), 1-10; http://resdojournals.com/index.php/jpo/article/view/348.
Ingaggiati, M., Barbato, G., Guerci, M., & Ruffini, R. (2024). Reimagining the bureaucracy and post-bureaucracy debate: a systematic literature review on paradoxes in public administration. Public Management Review, 1-30; https://doi.org/10.1109/ICSCDS56580.52023.10105102.
Jackson, D. J., Michaelides, G., Dewberry, C., & Yang, W.-N. (2025a). The expert assessor perspective on assessment center taxonomies. Human Performance, 38(1), 1-27; doi/abs/10.1002/9781405164221.ch9781405164211.
Jackson, D. J., Michaelides, G., Dewberry, C., & Yang, W.-N. (2025b). The expert assessor perspective on assessment center taxonomies. Human Performance, 38(1), 1-27; https://doi.org/10.1080/08959285.08952024.02428190.
Jiang, L., & Qu, Y. (2024). Assessing core competencies of business English students in Chinese higher vocational colleges. Scientific Reports, 14(1), 29328; 29328; https://doi.org/29310.21038/s41598-29024-78898-y.
Jovari, B. (2024a). Artificial Intelligence Ethics in Organizational Human Resources Management. International Journal of Management, Accounting and Economics, 11(7), 930-950. https://doi.org/10.5281/zenodo.12752414
Jovari, B. (2024b). E-Human resources management model in smart city management (In the light of e-government requirements). New Applied Studies in Management, Economics & Accounting, 7(4), 153-168; https://doi.org/110.22034/nasmea.22024.198068. https://doi.org/10.22034/nasmea.2024.198068
Jovari, B. (2024c). E-Human resources management model in smart city management (In the light of e-government requirements). New Applied Studies in Management, Economics & Accounting, 7(4), 153-168.
Jovari, B. (2024d). International Scientometric Systems: A study of acceptance management in academic communities., International Journal of Information Science and Management, 22(21).doi:10.22034/ijism.22023.1977966.1977960.
Jovari, B., & Yeganegi, K. (2024). Explaining the role of various organizational activities in financial performance with emphasis on the mediating role of human capital (Case study: Private banks). New Applied Studies in Management, Economics & Accounting, 7(2), 18-31; doi: 10.22034/nasmea.22024.185691. https://doi.org/10.22034/nasmea.2024.185691
Julian, A., & Haripriya, K. (2024). NLP based Resume Analysis and Adaptive Skill Assessment System. 2024 3rd International Conference for Innovation in Technology (INOCON),
Kaur, G., Kaur, M., & Rawat, B. (2024). A Study on Employee Competency Management System. Technology Conference (KHI-HTC), 1-7; https://doi.org/10.1109/KHI-HTC60760.62024.10481947.
Khakifirooz, M., Fathi, M., & Dolgui, A. (2024). Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI. International Journal of Production Research, 1-35.
Kharub, M., Mondal, S., Singh, S., & Gupta, H. (2025a). Evaluation of competency dimensions for employee performance assessment: evidence from micro, small, and medium enterprises. International Journal of Productivity and Performance Management, 74(1), 107-138; https://doi.org/110.1108/IJPPM-1107-2023-0379.
Kharub, M., Mondal, S., Singh, S., & Gupta, H. (2025b). Evaluation of competency dimensions for employee performance assessment: evidence from micro, small, and medium enterprises. International Journal of Productivity and Performance Management, 74(1), 107-138;https://doi.org/110.1108/IJPPM-1107-2023-0379.
Koutsoumpis, A., Ghassemi, S., Oostrom, J. K., Holtrop, D., Van Breda, W., Zhang, T., & de Vries, R. E. (2024). Beyond traditional interviews: Psychometric analysis of asynchronous video interviews for personality and interview performance evaluation using machine learning. Computers in Human Behavior, 154, 108128; https://doi.org/108110.101016/j.chb.102023.108128.
Lievens, F., & Thornton III, G. C. (2017). Assessment centers: Recent developments in practice and research. The Blackwell handbook of personnel selection, 243-264; /doi/abs/210.1002/9781405164221.ch9781405164211.
Liu, Y., & Song, P. (2024). R Network Process. (2024). esearch on the Application Maturity of Enterprises’ Artificial Intelligence Technology Based on the Fuzzy Evaluation Method and Analytic. Applied Sciences, 14(17), 7804. https://doi.org/7810.3390/app14177804.
Maghsoudi, M., Shahri, M. K., Kermani, M. A. M. A., & Khanizad, R. (2023). Unveiling the Collaborative Patterns of Artificial Intelligence Applications in Human Resource Management: A Social Network Analysis Approach. arXiv preprint arXiv:2308.09798.
McAlpine, M. (2002). Principles of assessment.CAA Centre, University of Luton Luton.
Michelotti, M., McColl, R., Puncheva‐Michelotti, P., Clarke, R., & McNamara, T. (2024). The effects of medium and sequence on personality trait assessments in face‐to‐face and videoconference selection interviews: Implications for HR analytics. Human Resource Management Journal,, 34(2), 292-310; https://doi.org/210.1111/1748-8583.12425.
Mohammad, E. Y. (2025). Management Policies for Education in the Age of Globalization. EuroGlobal Journal of Linguistics and Language Education, 2(3), 4-20; https://doi.org/10.3390/su17135951.
Mujtaba, D. F., & Mahapatra, N. R. (2024). Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions. arXiv preprint arXiv:2405.19699.
Odedokun, E. (2024). Appraisal of Assessment Centre as Management Tool for Personnel Selection. FUOYE JOURNAL OF PUBLIC ADMINISTRATION AND MANAGEMENT (FJPAM), 2(2), 14-14.
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), em2307.
Padhi, A., Agarwal, A., Saxena, S. K., & Katoch, C. (2023a). Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook. VirusDisease, 34(3), 345-355; https://doi.org/310.1007/s13337-13023-00841-y.
Padhi, A., Agarwal, A., Saxena, S. K., & Katoch, C. (2023b). Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook. VirusDisease, 34(3), 345-355.
Paramesha, M., Rane, N. L., & Rane, J. (2024). Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence. Partners Universal Multidisciplinary Research Journal, 1(2), 110-133; https://ssrn.com/abstract=4855856.
Pillay, T. S., Jafri, L., & Punchoo, R. (2025). Formulation of workplace-based assessments (WBAs) and entrustable professional activities (EPAs) for postgraduate medical trainees in clinical biochemistry. Journal of Clinical Pathology, 78(4), 240-250; https://doi.org/210.1136/jcp-2024-209796.
Piwowar-Sulej, K., & Bąk-Grabowska, D. (2024). Developing future competencies of people employed in non-standard forms of employment: employers’ and employees’ perspective. Personnel Review, 53(3), 721-742; https://www.emerald.com/insight/0048-3486.htm.
Radonjić, A., Duarte, H., & Pereira, N. (2024). Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges. European Management Journal, 42(1), 57-66.
Rejeki, S., Sugiarto, A., Nuraini, C., & Milanie, F. (2024). ASSESSMENT OF PORT CITY SERVICE CENTER ALIGNMENT IN THE TERRAIN. International Journal on Livable Space, 9(2), 109-128; https://doi.org/110.25105/livas.v25109i25102.19747.
Riggio, R. E., Jacobs, R., & Loviscky, G. (2025a). USING ASSESSMENT CENTERS FOR LEADER DEVELOPMENT AND ASSESSMENT. Moving the Needle: What We Know (and Don’t Know) About Developing Leaders, 27; https://www.google.com/books/edition/Moving_the_Needle/vZtiEQAAQBAJ.
Riggio, R. E., Jacobs, R., & Loviscky, G. (2025b). USING ASSESSMENT CENTERS FOR LEADER DEVELOPMENT AND ASSESSMENT. Moving the Needle: What We Know (and Don’t Know) About Developing Leaders, 27.
Sadek, K., & Karkoulian, S. (2025). Green performance appraisal impact on organizational sustainability: exploring the role of green knowledge and behavior in Lebanese firms. Social Responsibility Journal, 21(1), 198-215; https://doi.org/110.1108/SRJ-1104-2024-0251.
Salvadorinho, J., Ferreira, C., & Teixeira, L. (2024). A technology-based framework to foster the lean human resource 4.0 and prevent the great resignation: The talent management lift. Technology in Society, 77, 102510; https://doi.org/102510.101016/j.techsoc.102024.102510.
Sarlak, M. A., abedi ardakani, m., Darvish, H., & Forati, H. (2022). Identifying indicators of staff competency development in the center of evaluation and development with an interpretive structural modeling approach. Interdisciplinary Studies on Strategic Knowledge, 5(20), 37-58; https://dor.isc.ac/dor/20.1001.1001.74672588.74671400.74672585.74672520.74672582.74672580. https://issk.sndu.ac.ir/article_1779_2345d44344cb7d363d858563130bb52a.pdf
Sarver, K. L., Fogarty, K., Johns, T., Hensley, S. T., & Pracht, D. W. (2024). Volunteer Training, Tenure, Characteristics and Facilitation of Essential Elements for Youth Development. Journal of Youth Development, 19(2 ).
Senses, S., & Kumral, M. (2024). Trade-off between time and cost in project planning: a simulation-based optimization approach. Simulation, 100(2), 127-143.
Setiawati, A. P., & Mujanah, S. (2025). Inclusive Talent Development as A Key for Talent Management and Talent Retention to Achieve Sustainable Human Resource Management in Rural Bank Sharia Indonesia. Journal of Ecohumanism, 4(1), 1024–1033-1024–1033; https://doi.org/1010.62754/joe.v62754i62751.65907.
Shammi, S. A., Ghosh, P., Sutradhar, A., Shamrat, F. J. M., Moni, M. A., & De Oliveira, T. E. A. (2024). Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases. IEEE Transactions on Computational Social Systems.
Sharma, S., & Malodia, L. (2022). Competency mapping: building a competent workforce through competency-based human resource information system. Journal of Information and Optimization Sciences, 43(7), 1749-1762.
Shirani, M. (2025). Trends and classification of artificial intelligence models utilized in dentistry: A bibliometric study. Cureus, 17(4 ).
Sidki, M., Boerger, L., & Boll, D. (2024). The effect of board members’ education and experience on the financial performance of German state-owned enterprises. Journal of Management and Governance, 28(2), 445-482.
Smirnova, Z. V., Cherney, O. T., Skachkova, E. G., Garina, E. P., & Romanovskaya, E. V. (2025). Improving the Sustainable Development of the Personnel Management System in Service Organizations Using the Competency-based Approach in Education and HRM. In Lifelong Learning in Central Asia: Relevance of the Fourth Industrial Revolution (pp. 55-63; https://doi.org/10.1007/1978-1981-1096-1941-1002_1006). Springer.
Sonmez Cakir, F., Kalaycioglu, O., & Adiguzel, Z. (2024). Examination the effects of organizational innovation and knowledge management strategy in information technology companies in R&D departments on service quality and product innovation. Information Technology & People, 37(4), 1540-1559; https://doi.org/1510.1108/ITP-1503-2022-0196.
Stone, R. J., Cox, A., Gavin, M., & Carpini, J. (2024). Human resource management.John Wiley & Sons.
Thornton III, G. C., & Rupp, D. E. (2006). Assessment centers in human resource management: Strategies for prediction, diagnosis, and development.Psychology Press.
Ujlayan, A., Bhattacharya, S., & Sonakshi. (2023). A Machine Learning-Based AI Framework to Optimize the Recruitment Screening Process. International Journal of Global Business and Competitiveness, 18(Suppl 1), 38-53.
Valerio, C., & Etheridge, L. (2024). Assessment techniques. Oxford Handbook of Medical Education in Practice.
Vergara, D., Antón-Sancho, Á., & Fernández-Arias, P. (2024). Engineering professors' habits: didactic use of Information and Communication Technologies (ICT). Education and Information Technologies, 29(6), 7487-7517; https://doi.org/7410.1007/s10639-10023-12110-y.
Yaghoubi, E., Yaghoubi, E., Khamees, A., Razmi, D., & Lu, T. (2024). A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior. Engineering Applications of Artificial Intelligence, 135, 108789.
Yenugula, M., Sahoo, S., & Goswami, S. (2024). Cloud computing for sustainable development: An analysis of environmental, economic and social benefits. Journal of future sustainability, 4(1), 59-66; http://dx.doi.org/10.5267/j.jfs.2024.5261.5005.
Zhang, X., Wang, P., & Peng, L. (2024). Developing a Competency Model for Human Resource Directors (HRDs) in Exponential Organizations Undergoing Digital Transformation. Sustainability, 16(23), 10540; https://www.mdpi.com/12071-11050/10516/10523/10540#.
Zhou, Q., Li, B., Han, L., & Jou, M. (2023). Talking to a bot or a wall? How chatbots vs. human agents affect anticipated communication quality. Computers in Human Behavior, 143, 107674; https://doi.org/107610.101016/j.chb.102023.107674.