EVALUATING TALENT MANAGEMENT STRATEGIES IN HRM USING AI -BASED PREDICTIVE MODELING FOR MULTINATIONAL WORKFORCE RETENTION AND DEVELOPMENT

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Talent management in a modern-day multinational corporation is indispensable given the rising rate of attrition of employees and the need for retention of high performers in a competitive environment. Around this traditional, predictive model such as logistic regression and decision trees are: these approaches depend very strongly on fixed data snapshots, which render the time immovable for learning evolution in employee behavior. Thus, these methods entail prediction inaccuracy and delays in starting up required human resources actions. This study proposes a predictive framework based on AI networks to gauge employee attrition and enable the application of data-informed talent management strategies as possible solutions to these errors. IBM's attrition performance dataset is comprehensive in that it contains all employee records with respect to demographics, job satisfaction, performance ratings, and promotion history in the Human Resources Analytics. Data preprocessing entails handling missing values, encoding categorical variables, normalizing the numerical features, and engineering relevant time-series input. Then, develop a stacked LSTM model designed to capture both the short-term and long-term dependencies of employee behavior. The model is then trained and validated using standard binary classification metrics. The AI -based model is reported to be extremely efficient, with accuracy of 99.1%, precision of 98.7%, recall of 98.1%, and an F1-score of 98.4%. These outcomes are a testament to the model's precision when identifying potential attrition risks, arguably better than any conventional machine learning approaches. The framework is expected to enhance HR managers in gaining knowledge of predictive insight to drive proactive retention strategies. Ultimately, this would make possible timely, scalable, and evidence-based decision making across multinational fronts for sustainable growth of the organization in the long run.

References

1. M. E. Silva and M. D. Figueiredo, “Sustainability as Practice: Reflections on the Creation of an Institutional Logic,” Sustainability, vol. 9, no. 10, Art. no. 10, Oct. 2017, doi: 10.3390/su9101839.

2. R. Schalk, V. Timmerman, and S. van den Heuvel, “How strategic considerations influence decision making on e-HRM applications,” Hum. Resour. Manag. Rev., vol. 23, no. 1, pp. 84–92, Mar. 2013, doi: 10.1016/j.hrmr.2012.06.008.

3. R. Konopaske, E. G. Kirby, and S. L. Kirby, “Positive Disposition in the Prediction of Strategic Independence among Millennials,” Adm. Sci., vol. 7, no. 4, Art. no. 4, Dec. 2017, doi: 10.3390/admsci7040038.

4. S. Shamim, S. Cang, H. Yu, and Y. Li, “Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice,” Energies, vol. 10, no. 4, Art. no. 4, Apr. 2017, doi: 10.3390/en10040499.

5. D. Van Dierendonck, A. Lankester, M. Zmyslona, and H. Rothweiler, “Linking HRM Practices and Institutional Setting to Collective Turnover: An Empirical Exploration,” Adm. Sci., vol. 6, no. 4, Art. no. 4, Dec. 2016, doi: 10.3390/admsci6040018.

6. L. Wu, N. Subramanian, M. D. Abdulrahman, C. Liu, K. Lai, and K. S. Pawar, “The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers,” Sustainability, vol. 7, no. 4, Art. no. 4, Apr. 2015, doi: 10.3390/su7043838.

7. Y. Zhang, Q. Min, H. Li, L. He, C. Zhang, and L. Yang, “A Conservation Approach of Globally Important Agricultural Heritage Systems (GIAHS): Improving Traditional Agricultural Patterns and Promoting Scale-Production,” Sustainability, vol. 9, no. 2, Art. no. 2, Feb. 2017.

8. J. Zheng, G. Wu, and H. Xie, “Impacts of Leadership on Project-Based Organizational Innovation Performance: The Mediator of Knowledge Sharing and Moderator of Social Capital,” Sustainability, vol. 9, no. 10, Art. no. 10, Oct. 2017, doi: 10.3390/su9101893.

9. D. Jeske and C. M. Axtell, “Effort and Reward Effects: Appreciation and Self-Rated Performance in e-Internships,” Soc. Sci., vol. 6, no. 4, Art. no. 4, Dec. 2017, doi: 10.3390/socsci6040154.

10. E. Giovene di Girasole and D. Cannatella, “Social Vulnerability to Natural Hazards in Urban Systems. An Application in Santo Domingo (Dominican Republic),” Sustainability, vol. 9, no. 11, Art. no. 11, Nov. 2017, doi: 10.3390/su9112043.

11. S. Ahmad, “Green Human Resource Management: Policies and practices,” Cogent Bus. Manag., vol. 2, no. 1, p. 1030817, Dec. 2015, doi: 10.1080/23311975.2015.1030817.

12. L. R. Arruda, V. De Jesus Lameira, O. L. G. Quelhas, and F. N. Pereira, “Sustainability in the Brazilian Heavy Construction Industry: An Analysis of Organizational Practices,” Sustainability, vol. 5, no. 10, Art. no. 10, Oct. 2013, doi: 10.3390/su5104312.

13. M. I. Abdullah, S. Ashraf, and M. Sarfraz, “The Organizational Identification Perspective of CSR on Creative Performance: The Moderating Role of Creative Self-Efficacy,” Sustainability, vol. 9, no. 11, Art. no. 11, Nov. 2017, doi: 10.3390/su9112125.

14. J. Ben Mansour, A. Naji, and A. Leclerc, “The Relationship between Training Satisfaction and the Readiness to Transfer Learning: The Mediating Role of Normative Commitment,” Sustainability, vol. 9, no. 5, Art. no. 5, May 2017, doi: 10.3390/su9050834.

15. S. Crucke and A. Decramer, “The Development of a Measurement Instrument for the Organizational Performance of Social Enterprises,” Sustainability, vol. 8, no. 2, Art. no. 2, Feb. 2016, doi: 10.3390/su8020161.

16. C. M. Felipe, J. L. Roldán, and A. L. Leal-Rodríguez, “Impact of Organizational Culture Values on Organizational Agility,” Sustainability, vol. 9, no. 12, Art. no. 12, Dec. 2017, doi: 10.3390/su9122354.

17. D. Guo, H. Chen, R. Long, H. Lu, and Q. Long, “A Co-Word Analysis of Organizational Constraints for Maintaining Sustainability,” Sustainability, vol. 9, no. 10, Art. no. 10, Oct. 2017, doi: 10.3390/su9101928.

18. M. D. Álvarez-Pérez and A. Carballo-Penela, “Influencing Factors for Developing Managerial Behaviours That Encourage a Work-Family Culture in the University Context,” Soc. Sci., vol. 4, no. 4, Art. no. 4, Dec. 2015, doi: 10.3390/socsci4040987.

19. J.-S. Horng, C.-J. Wang, C.-H. Liu, S.-F. Chou, and C.-Y. Tsai, “The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry,” Sustainability, vol. 8, no. 3, Art. no. 3, Mar. 2016, doi: 10.3390/su8030223.

20. J.-W. Lin, P. F. Shen, and Y.-S. Hsu, “Effects of Employees’ Work Values and Organizational Management on Corporate Performance for Chinese and Taiwanese Construction Enterprises,” Sustainability, vol. 7, no. 12, Art. no. 12, Dec. 2015, doi: 10.3390/su71215852.

21. C. G. Iwu, L. Kapondoro, M. Twum-Darko, and R. Tengeh, “Determinants of Sustainability and Organisational Effectiveness in Non-Profit Organisations,” Sustainability, vol. 7, no. 7, Art. no. 7, Jul. 2015, doi: 10.3390/su7079560.

22. W. Jiang, X. Zhao, and J. Ni, “The Impact of Transformational Leadership on Employee Sustainable Performance: The Mediating Role of Organizational Citizenship Behavior,” Sustainability, vol. 9, no. 9, Art. no. 9, Sep. 2017, doi: 10.3390/su9091567.

23. L. Lu, L. Liu, G. Sui, and L. Wang, “The Associations of Job Stress and Organizational Identification with Job Satisfaction among Chinese Police Officers: The Mediating Role of Psychological Capital,” Int. J. Environ. Res. Public. Health, vol. 12, no. 12, Art. no. 12, Dec. 2015, doi: 10.3390/ijerph121214973.

24. F. V. McDonald, “Developing an Integrated Conceptual Framework of Pro-Environmental Behavior in the Workplace through Synthesis of the Current Literature,” Adm. Sci., vol. 4, no. 3, Art. no. 3, Sep. 2014, doi: 10.3390/admsci4030276.

25. H. Moheb-Alizadeh and R. B. Handfield, “Developing Talent from a Supply–Demand Perspective: An Optimization Model for Managers,” Logistics, vol. 1, no. 1, Art. no. 1, Sep. 2017, doi: 10.3390/logistics1010005.

26. M. I. Sánchez-Hernández, D. Gallardo-Vázquez, A. Barcik, and P. Dziwi?ski, “The Effect of the Internal Side of Social Responsibility on Firm Competitive Success in the Business Services Industry,” Sustainability, vol. 8, no. 2, Art. no. 2, Feb. 2016, doi: 10.3390/su8020179.

Keywords

Employee Attrition, Human Resource Management, LSTM, Predictive Analytics.