OPTIMIZATION OF THE HUMAN RESOURCE TRANSFER AND PROMOTION SYSTEM FOR PROPER JOB PLACEMENT TO SUPPORT ORGANIZATIONAL PERFORMANCE
Abstract
Human resource (HR) management plays a pivotal role in achieving organizational goals by ensuring the right people are placed in the right roles. The optimization of HR transfer and promotion systems is critical to fostering employee satisfaction and organizational performance. However, many organizations face challenges in aligning HR processes with strategic objectives, leading to inefficiencies in job placement and performance. This study investigates the optimization of HR transfer and promotion systems to enhance job placement accuracy and support organizational performance. The research aims to analyze existing HR practices, identify key factors influencing job placement, and propose an optimized framework that aligns employee capabilities with organizational goals. A mixed-method approach was employed, combining qualitative case studies, expert interviews, and quantitative surveys. The findings reveal that organizations with structured and transparent HR systems experience higher employee satisfaction and better alignment between individual skills and job roles. In contrast, organizations with informal HR processes face misalignments, lower engagement, and suboptimal performance. The study concludes that formalizing HR transfer and promotion systems is essential for improving job fit, boosting employee satisfaction, and enhancing organizational performance. The research provides actionable recommendations for organizations to optimize HR practices and contribute to long-term success.
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References
Abbour, F. Z., Lghaouch, E. M., Mahjoubi, K., Ardchir, S., Ounacer, S., & Azzouazi, M. (2026). Enhancing recruitment strategies with a hybrid AutoML approach to employee promotion prediction. International Journal of Information Management Data Insights, 6(1), 100399. https://doi.org/10.1016/j.jjimei.2026.100399
Abdelrahman, M. M., Tiar, S., Grutters, M., Aldhanhani, A., Alshammari, K., Al Eissaee, A., Aljneibi, N., Al Tenaiji, A., Al-Attar, M., & Matveev, S. (2025). Lessons Learned from First Application of Polymer Dispersed System (PDS) Chemical Water Shut-Off Technology in Carbonate Reservoir: A Case Study for Water Production Management in Mature Oil Field, UAE. Middle East Oil, Gas and Geosciences Show (MEOS GEO), D031S088R001. https://doi.org/10.2118/227316-MS
Ariga, R. A., Aurelia, R., Anak Ampun, P. T. D., Hutabarat, C. P., & Panjaitan, F. B. (2024). Enhancing Nursing Excellence: Exploring the Relationship between Nurse Deployment and Performance. International Journal of Environmental Research and Public Health, 21(10), 1309. https://doi.org/10.3390/ijerph21101309
Bouhsaien, L., Mensouri, H., & Azmani, A. (2025). Optimizing models performance: A comprehensive approach to addressing employee turnover with artificial intelligence. IET Conference Proceedings, 2024(34), 341–345. https://doi.org/10.1049/icp.2025.0106
Ger, T.-Y., Mousavi, S. M., Yang, C.-J., Yao, C.-H., & Lai, J.-Y. (2026). Engineered cerium oxide nanoparticles conjugated with carrier platforms: Therapeutic mechanisms for skin wound healing applications. Acta Biomaterialia, 210, 570–603. https://doi.org/10.1016/j.actbio.2025.12.016
Hapoff, R., Esquitin, Y., Meyer, E., & Sperle, N. (2025). Incorporation of an Annular Expandable System: Effective Reservoir Isolation Within the Production Liner with Full Losses During Cementing. SPE Annual Technical Conference and Exhibition, D031S035R009. https://doi.org/10.2118/228367-MS
Hu, J., & Li, Z. (2025). A Systematic Analysis of Military Turnover Determinants: An Application of the Price-Mueller Model. Proceedings of the 2025 2nd International Conference on Big Data and Digital Management, 961–967. https://doi.org/10.1145/3768801.3768967
Hu, Z., Yang, J., Yang, T., Ye, Y., & Xiao, T. (2025). A Three-Dimension-Driven AI+Management Framework Development and Implementation Pathway. Proceedings of the 2025 International Symposium on Artificial Intelligence and Computational Social Sciences, 228–236. https://doi.org/10.1145/3776759.3776795
Huali, N., & Cuiwei, Z. (2026). Spatial Heterogeneity of Characteristic Villages in Guizhou Province and the Optimization Path of Tourism Development. Journal of Resources and Ecology, 17(1). https://doi.org/10.5814/j.issn.1674-764x.2026.01.009
Ji, L., Zhou, X., & Yao, L. (2026). Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System. Journal of Medical Internet Research, 28, e75372–e75372. https://doi.org/10.2196/75372
Jimbo, T., Matsuo, H., Imoto, Y., Sodemura, T., Nishimori, M., Fukui, Y., Hayashi, T., Furuyashiki, T., & Yokoyama, R. (2024). Author Correction: Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputers. Scientific Reports, 14(1), 2233. https://doi.org/10.1038/s41598-024-52774-1
Jin, L. (2024). Human Resource Performance Value Assessment Based on Integration of Statistics and Machine Learning. 2024 6th International Conference on Applied Machine Learning (ICAML), 416–422. https://doi.org/10.1109/ICAML64299.2024.00081
Kochanek, M., Janssens, U., & König, V. (2025). „Grüne Intensivstation“. DMW - Deutsche Medizinische Wochenschrift, 150(17), 1019–1026. https://doi.org/10.1055/a-2286-0436
Kondo, K., Salazar, J., Orfali, M. W., Sajid, M., Afzal, H., & Craven, A. (2024). Achievement of 7-In. Production Liner Cementing with Seamless HP Zonal Isolation Integrity Whilst Coping with Challenges of Well Ballooning and Influx. GOTECH, D011S006R002. https://doi.org/10.2118/219308-MS
Leong, W. Y. (Ed.). (2024). Industry 5.0: Design, standards, techniques and applications for manufacturing. The Institution of Engineering and Technology. https://doi.org/10.1049/PBME026E
Liu, M., & Liu, X. (2024). Design and Implementation of an Intelligent Employee Promotion Strategy Optimization System. Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management, 515–520. https://doi.org/10.1145/3718751.3718834
Ma, X. (2025). Fire Extinguisher Position Detection in Complex Environments based on Deep Learning Model of ResNet-50 and Feature Pyramid Enhancement. 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1–6. https://doi.org/10.1109/ISMSIT67332.2025.11267974
Ma, Y., Han, D., Qiao, J., Ma, J., Ma, Y., Wang, Z., Guo, P., Hui, X., & Xu, J. (2026). Evaluating the quality of rural human settlements and the perception of farm households—A case study of traditional agricultural areas in China. Habitat International, 170, 103724. https://doi.org/10.1016/j.habitatint.2026.103724
Meng, Q., Pi, H., Xu, T., & Li, L. (2024). Exploring the relationship between regional tourism development and land use efficiency: A case study of Guangxi Zhuang Autonomous Region, China. PLOS ONE, 19(1), e0297196. https://doi.org/10.1371/journal.pone.0297196
Mishra, R. A., Bhaskar, P., & Khan, M. (2025). An integrated blockchain architecturefor sustainable higher education administration. On the Horizon: The International Journal of Learning Futures, 33(4), 460–474. https://doi.org/10.1108/OTH-07-2025-0084
Nassreddine, G., Hammoud, J., Al-Khatib, O., & Majzoub, M. A. (2026). Employee Attrition Prediction: An Explanatory and Statistically Robust Ensemble Learning Model. Computers, 15(3), 185. https://doi.org/10.3390/computers15030185
Nugraha, A. C., Sundari, S., Azizah, A. N., & Femiani, H. A. (2025). Employee Promotion Prediction Using XGBoost Algorithm and Hyperparameter Optimization. 2025 International Conference on ICT for Smart Society (ICISS), 1–6. https://doi.org/10.1109/ICISS66954.2025.11389730
Payne, R. A., Blair, P. S., Caddick, B., Chew-Graham, C. A., Dreischulte, T., Duncan, L. J., Guthrie, B., Mann, C., Parslow, R. M., Round, J., Salisbury, C., Turner, K. M., Turner, N. L., & McCahon, D. (2025). Optimising polypharmacy management in primary care through general practitioner?pharmacist collaboration, informatics, and enhancing clinician engagement: The IMPPP cluster-randomised trial. The Lancet Healthy Longevity, 6(10), 100774. https://doi.org/10.1016/j.lanhl.2025.100774
Peng, G., Zhao, C., Chen, L., & Wang, L. (2025). Resource allocation and task scheduling for computing power aware networks. In Y. Liu (Ed.), International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2024) (p. 109). SPIE. https://doi.org/10.1117/12.3060661
Sharma, J., Chander, T., Khan, S. A., Gupta, A., & Tripathy, D. B. (2026). Green engineering as solution for sustainable transportation and infrastructure. In Advances in Green Engineering for Sustainable Industrial Developments (pp. 289–326). Elsevier. https://doi.org/10.1016/B978-0-443-33637-9.00017-7
Shen, Y., Lu, C., & Ma, Y. (2025). The association between perceived 15-minute fitness circle accessibility and physical activity in China: The mediating role of informal social support. International Journal for Equity in Health, 25(1), 31. https://doi.org/10.1186/s12939-025-02745-3
Shinde, S. S., & Tarchi, D. (2024). Multi-Time-Scale Markov Decision Process for Joint Service Placement, Network Selection, and Computation Offloading in Aerial IoV Scenarios. IEEE Transactions on Network Science and Engineering, 11(6), 5364–5379. https://doi.org/10.1109/TNSE.2024.3445890
Uddin, S. H., Lalitha, V., Varma, K. K. K., Parne, M. D., Pachar, S., & Bala, B. K. (2024). Adaptive Training Program Optimization in Human Resource Development Using Reinforcement Learning and Multilayer Perceptron Models. 2024 4th International Conference on Innovative Sustainable Computational Technologies (CISCT), 1–6. https://doi.org/10.1109/CISCT62494.2024.11134243
Wan, T. T. H., & Wan, G. J. (2024). Optimizing health organization performance and patient care outcomes via predictive analytics: Implications for data science and artificial intelligence research. Journal of Health Organization and Management. https://doi.org/10.1108/JHOM-07-2024-0280
Yan, J., Yin, S., Chen, Y., Xu, R., Li, W., Cai, Y., Wang, P., Ma, X., & Fan, D. (2025). Expression, optimization and biological activity analysis of recombinant type III collagen in Komagataella phaffii. International Journal of Biological Macromolecules, 288, 138243. https://doi.org/10.1016/j.ijbiomac.2024.138243
Zhang, X., Ran, Q., Xu, Y., Jin, Y., & Ge, W. (2025). Regional differentiation of the pollution reduction effect of accountability audit of natural resource under the perspective of spatial mismatch in land supply: Evidence from China. Journal of Environmental Management, 384, 125554. https://doi.org/10.1016/j.jenvman.2025.125554
Zhao, P. (2026). Prediction of brain drain in universities based on data mining and support vector machine. In S. S. Agaian & X. Kong (Eds.), Second International Conference on Communication, Information, and Digital Technologies (CIDT 2025) (p. 75). SPIE. https://doi.org/10.1117/12.3089438
Zheng, Q., Zeng, Z., Tang, X., & Ma, L. (2024). Impact of an ICU bed capacity optimisation method on the average length of stay and average cost of hospitalisation following implementation of China’s open policy with respect to COVID-19: A difference-in-differences analysis based on information management system data from a tertiary hospital in southwest China. BMJ Open, 14(4), e078069. https://doi.org/10.1136/bmjopen-2023-078069
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