This research aims to provide insights into the intersection of technology, objectivity, and cultural values in the context of employee performance evaluation and management, enriching our understanding of cultural values and phenomena in the contemporary world. In today's globalized world, decision-making processes require objectivity and fairness. This research focuses on employee performance evaluation and management, proposing a fuzzy logic-based system to achieve unbiased assessment. The system is designed to align personal and organizational goals, thereby enhancing productivity and job satisfaction. Performance assessment is crucial for managing a company's workforce, with staff evaluations playing a pivotal role in individual development, organizational effectiveness, and business strategy alignment. The proposed system offers an objective assessment of employee performance, fostering a sense of purpose and meaning in work. It determines performance indices through multiple quantitative assessment scenarios, ultimately selecting the best-performing employee based on these indices. This research simplifies the process of performance rating computation for human resource personnel, aiding in the effective management of a company's workforce. Furthermore, it fosters alignment of personal and organizational goals and encourages positive relationships between management and employees. This study has significant implications for contemporary values and cultural phenomena, contributing to the ongoing discourse on the importance of objectivity, fairness, and purpose in managing a company's workforce. Additionally, the research explores the impact of technology and algorithms on employee performance evaluation and its broader implications for organizational culture and values.