نوع مقاله : مقاله پژوهشی
موضوعات
منابع فارسی
منابع انگلیسی
-Abbracciavento, F., Formentin, S., Gualandi, E., Nanni, R., Paoli, A., & Savaresi, S. M. (2020). Modeling and prediction for optimal human resources management. IFAC-PapersOnLine, 53(2),16996 17001. https://doi.org/10.1016/j.ifacol.2020.04.161
-Agarwal, A., Sharma, S., Kumar, V., & Kaur, M. (2021). Effect of E-learning on public health and environment during COVID-19 lockdown. Big Data Mining and Analytics, 4(2), 104-115. https://doi.org/10.26599/BDMA.2020.9020014
-Ahmadi, Y., & Khani, A. (2019). Predicting human resources for the strategic planning of human resources at the Real Estate Registration Office of District One, Shiraz, 2020-2025, using regression analysis. In the 5th International Conference on Management Sciences and Accounting, Tehran, [In Persian].
-Alinaqian, N. (2021). Challenges and opportunities of electronic human resource management. In the Digital Transformation Conference: Challenges and Opportunities, Isfahan, [In Persian].
-Beardwell, I., Holden, L., & Claydon, T. (2004). Human resource management. Harlow: FT/Prentice Hall.
-Chien, C.-F., & Chen, L.-F. (2007). Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Systems with Applications, 34(1), 280-290.
-Daniel, T., & Larose, J. (2005). Discovery knowledge in data: An introduction to data mining. Wiley Interscience.
-Haghi Kashani, M., Madanipour, M., Nikravan, M., Asghari, P., & Mahdipour, E. (2021). A systematic review of IoT in healthcare: Applications, techniques, and trends. Journal of Network and Computer Applications, 192, 1-16. https://doi.org/10.1016/j.jnca.2021.103007
-Jokar, K., & Sadeghi, A. (2022). The role of strategic management planning in attracting competent human resources for the organization in the moral education of students in the education system. In the 2nd National Conference on Clinical Psychology of Children and Adolescents, Ardabil, [In Persian].
-Kumar, S., & Sachdeva, R. (2023). A survey of different supervised learning-based classification models for student’s academic performance prediction. In Proceedings of the International Conference on Innovative Computing and Communications (Vol. 492, pp. 529-538). Springer. https://doi.org/10.1007/978-3-030-99993-7_47
-Palacios, C. A., Reyes-Suárez, J. A., Bearzotti, L. A., Leiva, V., & Marchant, C. (2021). Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile. Entropy, 23(4), 485. https://doi.org/10.3390/e23040485
-Rangriz, H., & Memari, M. (2017). Forecasting the supply of human resources using the Markov model during 2016-2021, [In Persian].
-Rehman, K. U., Mata, M. N., Martins, J. M., Mariam, S., Rita, J. X., & Correia, A. B. (2021). SHRM practices, employee and organizational resilient behavior: Implications for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 107. https://doi.org/10.3390/joitmc7020107
-Saeedbakhsh, S., Sattari, M., Mohammadi, M., & Najafian, J. (2021). Application of data mining techniques in predicting coronary heart disease: A systematic review. International Journal of Environmental Health Engineering (IJEHE), 10(3), 1-8. https://doi.org/10.4103/IJEHE.IJEHE_47_21
-Thapa, C., & Camtepe, S. (2021). Precision health data: Requirements, challenges and existing techniques for data security and privacy. Computers in Biology and Medicine, 129, 104164. https://doi.org/10.1016/j.compbiomed.2020.104164
-Visweswaran, S., et al. (2022). An atomic approach to the design and implementation of a research data warehouse. Journal of the American Medical Informatics Association, 29(4), 601-608. https://doi.org/10.1093/jamia/ocab204
-Woods, R. H. (2020). Predicting is difficult, especially about the future: Human resources in the new millennium. International Journal of Hospitality Management, 18(4), 443-456. https://doi.org/10.1016/j.ijhm.2020.04.011
-Zhang, L., Wu, L., Wu, T., & Alamin, A. (2023). Research on application status and deepening strategy of smart campus in primary and secondary schools: Case study of a county in Western China. In 2023 IEEE 12th International Conference on Educational and Information Technology (ICEIT) (pp. 298-303). IEEE. https://doi.org/10.1109/ICEIT57125.2023.10107777
-Zhang, Y., Xu, S., Zhang, L., & Yang, M. (2021). Big data and human resource management research: An integrative review and new directions for future research. Journal of Business Research, 133, 34-50. https://doi.org/10.1016/j.jbusres.2020.10.036