TITLE:
Resolution of Relationship between Organizational Performance and Human Resource Management through Nonlinear Modeling
AUTHORS:
Murat Akkaya, Zafer Agdelen, Ali Haydar, Arif Sari
KEYWORDS:
Human Resource Management, Organizational Performance, Nonlinear Modeling, Radial Basis Function, Artifical Intelligence
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.8 No.12,
December
28,
2015
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.