A Novel Conceptual Framework for Artificial Intelligence-Augmented Positive Human Resources Management

This study examines the impact of Artificial Intelligence (AI) on Positive Human Resource Management (PHRM) and introduces a novel framework for AI-augmented PHRM. The research identifies key factors and integrates AI-driven HRM functions that aim to enhance employee well-being and improve organizational effectiveness. A comprehensive literature review was conducted using text mining to identify critical variables. This was followed by a two-round Fuzzy Delphi study to reach consensus among experts. Forty-two key factors were identified and categorized into eight core functions of AI-enhanced PHRM. The study proposes the AI-augmented PHRM framework, which incorporates eight AI-driven HRM functions: strategic management, controlling, directing, planning, development, compensation, change management, and retention. These functions are structured within a positivity-driven HRM paradigm, focusing on both data-driven decision-making and the promotion of employee flourishing. This research contributes a unique AI-augmented PHRM framework, offering organizations a structured approach to integrate AI into HRM practices. The framework supports the promotion of employee well-being, enhances organizational performance, and ensures ethical AI governance. The findings provide valuable insights for HR professionals, researchers, and policymakers aiming to optimize AI-driven HRM strategies to improve workforce performance while maintaining a focus on fairness and inclusivity.