Resolution of Relationship between Organizational Performance and Human Resource Management through Nonlinear Modeling

Murat Akkaya; Zafer Agdelen; Ali Haydar; Arif Sari

doi:10.4236/ijcns.2015.812046

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IJCNS> Vol.8 No.12, December 2015

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Resolution of Relationship between Organizational Performance and Human Resource Management through Nonlinear Modeling

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DOI: 10.4236/ijcns.2015.812046 3,714 Downloads 4,305 Views Citations

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Murat Akkaya¹, Zafer Agdelen², Ali Haydar³, Arif Sari¹

Affiliation(s)

¹Department of Management Information Systems, Girne American University, Kyrenia, Cyprus.
²Department of Industrial Engineering, Girne American University, Kyrenia, Cyprus.
³Department of Computer Engineering, Girne American University, Kyrenia, Cyprus.

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.

KEYWORDS

Human Resource Management, Organizational Performance, Nonlinear Modeling, Radial Basis Function, Artifical Intelligence

Conflicts of Interest

The authors declare no conflicts of interest.

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. International Journal of Communications, Network and System Sciences, 8, 510-522. doi: 10.4236/ijcns.2015.812046.

References

[1]	Haydar, A. and Agdelen, Z. (2006) The Effect of Changes in Human Resource Management Measures on the Firm Performance through the Use of Nonlinear Model. 5th International Symposium on Intelligent Manufacturing Systems, Sakarya University, 29-31 May 2006.

[2]	Cichocki, A. and Unbehauen, R. (1993) Neural Networks for Optimization and Signal Processing. John Wiley & Sons, New York.

[3]	Haykin, S. (1994) Neural Networks. Macmillan Collage Publishing Company, London.

[4]	Anthony, W., Perrewe, P.L. and Kacmar, K.M. (1996) Strategic Human Resource Management. The Dryden Press, Harcourt Brace & Company, New York.

[5]	Cascio, F.W. (1995) Managing Human Resources, Productivity, Quality of Work Life, Profits. McGraw Hills, New York.

[6]	Coole, G.A. (1993) Management: Theory and Practice. The Guernsey Press Co. Ltd., Nottingham.

[7]	Delaney, J.T. and Huselid, M.A. (1996) The Impact of Human Resource Management Practices on Performance in For-Profit and Non-Profit Organizations. Academy of Management Journal, 39, 949-969. http://dx.doi.org/10.2307/256718

[8]	Holzer, H. (1993) Are Training Subsidies for Firms Effective? The Michigan Experience, Industrial and Labor Relations Review.

[9]	Kast, F.E. and Rozenzweight, J. (1986) Organization and Management: A System and Contingency Approach. McGraw-Hill Book Company, New York.

[10]	Philips, J.J. (1996) Accountability in Human Resource Management. Gulf Publishing Company.

[11]	Lawler, E. (1992) Employee Involvement and Total Quality Management. Jossey Bass, San Fransisco.

[12]	Agdelen, Z. (2002) Firmalar icin insan Kaynaklari Katki Modeli Olusturulmasi ye Insan Kaynaklari Yonetimi ile Firma Performansi Analizi, ITO Yaymlanmami Doktora Tezi.