Abstract
The relation between the HRM and the firm performance is analyzed statistically by many researchers in the literature. However, there are very few nonlinear approaches in literature for finding the relation between Human Resource Management (FIRM) and firm performance. This paper exposes the relationship between human resource management and organizational performance through the use of nonlinear modeling technique. The modeling is proposed based on Radial Basis Function (RBF) which is nonlinear modeling technique in literature. The relation between 12 input and 9 output parameters is investigated in this research that is collected between 54 companies in Turkey which indicated that the relationship between organizational management performance and relationship management can be modelled through nonlinearly.
Highlights
Human Resource Management (HRM) is a critical input in enhancing the business results
In this thesis our aim is to check whether there is a nonlinear relation between the Human Resource Management and the firm performance with the help of the Artificial Neural Network (ANN) modeling technique
Our aim is to establish a relationship between the Human Resource Management and the organizational performance using Artificial Neural Networks. 21 parameters were obtained from 54 companies in Turkey to achieve this goal
Summary
Human Resource Management (HRM) is a critical input in enhancing the business results. FIRM criteria cover the planning, managing and improving the Human Resources; identifying, developing and sustaining people’s. How to cite this paper: Akkaya, M., Agdelen, Z., Haydar, A. and Sari, A. (2015) Resolution of Relationship between Organizational Performance and Human Resource Management through Nonlinear Modeling. Communications, Network and System Sciences, 8, 510-522. All these factors have an effect on business results, because Human Resources are key assets. HRM has a significant impact on the performance of the manufacturing business (firm)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Communications, Network and System Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
