Performance Assessment Centers and Human Resources Competency Development in the Light of Artificial Intelligence
محورهای موضوعی : مدیریت
1 - استادیار گروه مدیریت دولتی و خط مشی گذاری، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: Human Resource Management, Competency Assessment and Development Center, Artificial Intelligenc ,
چکیده مقاله :
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.
چکیده انگلیسی:
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.
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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.
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