Human resource systems are traditionally designed around principles of efficiency, consistency, and rational decision-making. While these principles provide structural clarity, they often overlook the emotional dimensions that shape how individuals experience organizational processes. As a result, HR systems may function effectively at an operational level while simultaneously producing unintended outcomes such as disengagement, misalignment, and reduced trust. This study examines the role of emotional intelligence (EI) as a foundational element in HR process development, proposing a shift from purely rational design toward emotionally informed systems. Drawing on psychological theory and organizational behavior research, the paper conceptualizes emotional intelligence not only as an individual competency but as a design lens through which HR processes can be structured and evaluated. The paper develops a framework for integrating emotional awareness, empathy, and regulation into key HR processes, including recruitment, performance management, and feedback systems. It argues that emotional dynamics are not external to these processes but are actively produced by them, influencing interpretation, behavior, and long-term engagement. By embedding EI principles into process architecture, organizations can create systems that are more aligned with human behavior and perception. The analysis further explores the challenges associated with implementation, including measurement limitations, ethical considerations, and variability in emotional interpretation. Despite these challenges, the findings suggest that emotionally intelligent HR systems contribute to stronger organizational coherence, improved relational dynamics, and more sustainable performance outcomes. This study contributes to both HR and organizational psychology literature by offering a design-oriented perspective that bridges theoretical insights with practical application, positioning emotional intelligence as a critical component of modern HR system development.
Arzu ÖZER (Wed,) studied this question.