Balancing performance by human resource management practices

Abstract

One of the most famous concepts in strategic human resource management (SHRM) is human resource management (HRM) practices. Various researches by famous scholars have shown that HRM practices have the potential to affect organizational performance. Besides, performance of an organization has different aspects for example balanced scorecard (BSC) considers four perspectives for performance and they are Financial, Customer, Internal Process and Learning and Growth. However, companies aim to balance performance of the HRM practices based on their goals, so they need to know the intensity of implementing each practice. In this regard, this study attempts to forecast the impact of each group of practices on organizational performance (BSC’s perspectives) before implementation. For this purpose, Artificial Neural Networks (ANN), Analytic Hierarchy Process (AHP) and Fuzzy Logic will be used in combination. In other words, this combination will highlight the most proper group of HRM practices for the desired performance.