International Journal of Nonlinear Analysis and Applications

Identifying and prioritizing the effective factors on knowledge creation with the logarithmic fuzzy preference programming (LFPP) technique (Case study: Khuzestan Steel Company)

Document Type : Research Paper

Authors

1 Department of Management and Accounting, Payame Noor University, Tehran, Iran

2 Department of Educational Management, Semnan University, Semnan, Iran

3 Department of Business Management, Payame Noor University, Tehran, Iran

Abstract

The purpose of this research was to identify and prioritize the effective factors of knowledge creation with the logarithmic fuzzy preference programming technique in Khuzestan Steel Company. The method of the present research was applied-exploratory. The statistical population included all managers and supervisors of Khuzestan Steel Company, 15 of whom were selected by snowball method. The data-gathering tool was a researcher-made questionnaire. Delphi techniques and logarithmic fuzzy preference programming were used in this research. Data analysis was done using SPSS and Gems software. Based on the Delphi technique, 8 factors and 36 sub-factors were identified. The results of the logarithmic fuzzy preference programming technique showed that in terms of the importance, culture (0.1852), structure (0.1712), motivational system (0.1464), individual competence (0.1356), information resources (0.1111), information technology (0.1043), leadership (0.0739) and organization processes (0.0723) are ranked first to eighth respectively.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 16, Issue 1
January 2025
Pages 329-340
  • Receive Date: 20 November 2023
  • Accept Date: 21 February 2024