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Predicting employees' organizational citizenship behavior: A comparative study using artificial intelligence

Akriti Gupta1, Aman Chadha2, Mayank Kumar3

  • 1IIBS, Bengaluru, Karnataka; Department of Management Studies, Indian Institute of Information Technology, Allahabad, Prayagraj, Uttar Pradesh, India.

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|December 6, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) accurately predicts Organizational Citizenship Behavior (OCB) using machine learning. Sustainable Training Practices (STP) perceived for growth significantly influence OCB, offering HR data-driven insights.

Keywords:
Artificial intelligenceOrganizational citizenship behaviorSustainable HRMSustainable training practices

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Area of Science:

  • Human Resource Management
  • Organizational Behavior
  • Artificial Intelligence in HR

Background:

  • The increasing integration of AI in HR necessitates predictive models for employee behavior.
  • Forecasting Organizational Citizenship Behavior (OCB) is crucial for organizational success and academic research.
  • Existing research highlights the impact of various factors on OCB, but AI-driven predictive models are less explored.

Purpose of the Study:

  • To develop and validate a predictive model for Organizational Citizenship Behavior (OCB).
  • To compare the efficacy of seven distinct machine learning models in predicting OCB.
  • To identify key predictors of OCB, including Sustainable Training Practices (STP), Psychological Contract Fulfillment (PCF), Job Satisfaction (JS), and demographics.

Main Methods:

  • A quantitative study involving 224 employees from Indian firms.
  • Comparative analysis of seven machine learning algorithms: SVM, LDA, Random Forest, XGBoost, KNN, Naïve Bayes, and ANN.
  • Development of a predictive model for OCB using STP, PCF, JS, and demographic variables.

Main Results:

  • Artificial intelligence models demonstrate strong predictive capabilities for OCB.
  • The Artificial Neural Network (ANN) model achieved the highest accuracy at 93.33%.
  • Sustainable Training Practices (STP), when perceived by employees as fostering personal growth, emerged as a significant predictor of OCB.

Conclusions:

  • AI-powered predictive models offer a valuable tool for HR management.
  • HR managers can leverage data-driven insights from AI models to foster desired employee behaviors.
  • The study underscores the importance of STP in enhancing OCB through a data-driven approach.