Analysis of knowledge-based organizational culture components using artificial neural network

Subject Areas : business management

Somayeh hosseinzadeh ¹ , Toraj Mojibi ² , Sayyedmahdi alvani ³ , javad rezaiyan ⁴

1 - Department of public Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
2 - Department of public Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
3 - Department of public Management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
4 - Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

Received: 2020-09-11 Accepted : 2020-09-26 Published : 2020-12-21

Keywords: knowledge-based organizational culture, Knowledge-based Organization, , Artificial neural network,

Abstract :

This study analyzes the components of knowledge-based organizational culture in order to achieve performance effectiveness using artificial neural network.The present study, from an application point of view, is Applied Research, which was applied using a mixed Exploratory Research type method. To prepare the research literature, the method of studying documents and their results was applied and also intensive face-to-face interviews with 20 university experts were accomplished. After recording the interviews, the data were analyzed qualitatively using a context analysis method. The research population, in the quantitative part, consisted of 50 administrative experts of related field who were selected using objective sampling. To measure the effectiveness of each the components of knowledge-based organizational culture and analysis of their sensitivity a Multilayer feedforward neural networks with back propagation model was used.Findings showed that the sensitivity of performance effectiveness to knowledge-based organizational culture is 4.39%. Also, knowledge-based organizational culture was identified with five components, and among its components, the two components of knowledge-based leadership and trust culture were identified as the components to which performance effectiveness is most sensitive.