HARD HUMAN RESOURCE MANAGEMENT ALIGNMENT AND ACHIEVEMENT OF ORGANISATIONAL GOALS.

Abstract

This study explores the dimensions of Hard Human Resource Management (HRM) with a focus on alignment and recognition, particularly examining how machine-oriented and autocratic-oriented approaches interact with structured and unstructured measures. Hard HRM emphasizes aligning human resource practices with organizational goals through systematic and quantitative methods. In this context, machine-oriented approaches involve highly standardized, efficiency-driven processes, while autocratic-oriented approaches emphasize centralized decision-making and control. Structured measures include formal performance metrics and standardized recognition systems, whereas unstructured measures involve more flexible and informal approaches to evaluation and acknowledgment.

The research investigates how these dimensions influence the effectiveness of hard HRM practices in aligning employee performance with organizational objectives and the impact on recognition systems. Structured measures often provide clear, objective criteria for performance and recognition, leading to enhanced consistency and alignment with strategic goals. In contrast, unstructured measures may offer greater flexibility but can pose challenges in maintaining objectivity and fairness. Similarly, machine-oriented approaches may enhance efficiency but risk overlooking individual employee needs, while autocratic-oriented approaches can ensure control but may affect morale and engagement. By examining these dimensions, the study provides insights into optimizing hard HRM practices for better alignment and recognition, contributing to a more effective and balanced human resource strategy.