A model for religion-based knowledge management process using structural equation-partial least squares modeling

Document Type : Original Article

Authors

1 Vice Chancellor of Kermanshah University of Applied Sciences and Technology, Kermanshah, Iran.

2 Assistant Professor, Department of Information Science and Science, Razi University, Kermanshah, Iran.

3 Vice President for Science and Technology of Hazrat Nabi Akram (PBUH) Corps, Kermanshah Province, Iran.

Abstract

 




The aim of the research was to estimate the effects of acquiring, storing, sharing and applying knowledge on religion-based knowledge management in the first step and to design a model for the religion-based knowledge management process using structural equation modeling method, at least partial squares in the second step. The research method was survey and the type of correlation schemes was path analysis and structural equation modeling. The research was performed using Delphi technique. The statistical population of the study consisted of religious experts and experts. Sampling was in purposeful method.  10 religious experts were selected as the main sample. The data collection tool was a questionnaire. Structural equation modeling (SEM), partial least squares (Smart PLS 3.3) was used to create the measurement model and draw the structural relationship model. In this section were used the extracted mean variance, Cronbach's alpha, combined reliability, divergent validity, convergent validity, differential validity, R2, Q2 and GOF indices. The results of the partial least squares test indicated that the research hypotheses were confirmed and based on this, the measurement model and the structural model were statistically appropriate. The results showed that the process of knowledge management of religion foundation includes acquiring, storing, sharing and applying knowledge and this process had a positive and significant effect on knowledge management.

Keywords

Main Subjects

References

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Islamic Knowledge Management
Volume 3, Issue 1 - Serial Number 5
March 2021
Pages 123-159

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History

  • Receive Date: 08 August 2021
  • Revise Date: 14 September 2021
  • Accept Date: 14 September 2021

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