Enhancing Organizational Effectiveness through Job Evaluation in Manufacturing: A Scoring Method with Fuzzy ARAS Approach

Abstract

Job evaluation is a critical process for organizations to enhance organizational effectiveness by establishing fair and equitable compensation structures and aligning job roles with strategic goals. This study focuses on the manufacturing industry and aims to explore how job evaluation can be optimized through the integration of the fuzzy ARAS approach. By combining method, which assigns numerical scores to job factors, and factor analysis, which identifies underlying dimensions in a set of variables, this research proposes a comprehensive approach to job evaluation in manufacturing. This study contributes to the existing body of knowledge by offering a novel approach to job evaluation in the manufacturing industry. Research findings in practice can support HR professionals and organizational leaders in improving job evaluation practices, which can ultimately contribute to improved organizational performance and competitiveness in the manufacturing sector. Future research areas include investigating the extent to which the proposed approach is applicable in different manufacturing sub-sectors and assessing its long-term impact on organizational effectiveness.