Izvorni znanstveni članak
https://doi.org/10.2478/bsrj-2025-0027
Holistic Performance Evaluation using Income per Employee and Salary Metrics
Katarina Kostelić
; Juraj Dobrila University of Pula, Faculty of Economics and Tourism “Dr. Mijo Mirković”, Department of Mathematics, Statistics, and Informatics, Croatia
Morena Paulišić
; Juraj Dobrila University of Pula, Faculty of Economics and Tourism “Dr. Mijo Mirković”, Department of Management, Croatia
Sažetak
Background: Business performance analysis is a growing field in which traditional metrics, such as total income and profit margins, are increasingly complemented by insights into the impact of employee investments on company success. Objectives: This paper intro-duces a different approach to corporate evaluation that combines traditional metrics with the proposed Income per Employee Index (IPEI) and Income per Salary Index (IPSI), highlighting the strategic value of human capital. The proposed measures build on exist-ing measures and offer a simple way to assess employee output as an indicator of opera-tional efficiency. Methods/Approach: We hypothesize that integrating IPEI and IPSI with traditional financial metrics provides a more detailed understanding of human capital utilization in relation to a company's operational effectiveness. To achieve this, a combi-nation of methods is used: from exploratory data analysis for initial insights to clustering and classification to identify patterns and assess the role of the proposed metrics in pre-dicting gross profit. Results: The derived metrics' discriminative and evaluative properties yielded several clusters of observed companies. Additionally, these metrics demonstrated reasonable accuracy in predicting gross profit categories. Based on these results and IPEI and IPSI characteristics, we propose ways to interpret them. Conclusions: The research contributes to understanding operational efficiency and human resource strategies, broadening the scope of interdisciplinary research and practical business applications.
Ključne riječi
operational efficiency; income per employee metric; income per salary metric; explora-tory data analysis; clustering; classification
Hrčak ID:
340495
URI
Datum izdavanja:
12.2.2025.
Posjeta: 599 *