Organizational agility hinges on employees’ ability to stay abreast of market trends and changes. Research indicates that 10% of layoffs stem from employee underperformance or low morale. Employees often face challenges in identifying clear career paths for advancement, recognizing skill gaps, and receiving adequate recognition and feedback. These challenges significantly impact organizations, leading to decreased productivity, reduced innovation, and the loss of top talent. BeproAI addresses these issues by focusing on two key aspects: skill development combined with effective networking. The platform enables employees to openly communicate their work and demonstrate their efficiency. It also provides personalized initiatives for career advancement, facilitates connections with mentors, and enhances employee engagement. BeproAI utilizes employee profiles, performance data, and organizational hierarchical structures for training purposes. These data are processed using a combination of feedforward neural networks and the XG Boost algorithm to predict the risk of employee layoffs. The implementation of BeproAI is expected to yield several positive outcomes. These include reduced employee turnover, enhanced organizational agility and innovation, and ultimately, a decreased risk of layoffs and other uncertainties.

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XGBoost-Powered Layoff Risk Prediction and Personalized Career Guidance Chatbot

  • B. Sathiyaprasad,
  • Rathna Jeevitha,
  • F. Mohamed Aflal

摘要

Organizational agility hinges on employees’ ability to stay abreast of market trends and changes. Research indicates that 10% of layoffs stem from employee underperformance or low morale. Employees often face challenges in identifying clear career paths for advancement, recognizing skill gaps, and receiving adequate recognition and feedback. These challenges significantly impact organizations, leading to decreased productivity, reduced innovation, and the loss of top talent. BeproAI addresses these issues by focusing on two key aspects: skill development combined with effective networking. The platform enables employees to openly communicate their work and demonstrate their efficiency. It also provides personalized initiatives for career advancement, facilitates connections with mentors, and enhances employee engagement. BeproAI utilizes employee profiles, performance data, and organizational hierarchical structures for training purposes. These data are processed using a combination of feedforward neural networks and the XG Boost algorithm to predict the risk of employee layoffs. The implementation of BeproAI is expected to yield several positive outcomes. These include reduced employee turnover, enhanced organizational agility and innovation, and ultimately, a decreased risk of layoffs and other uncertainties.