Study of the Effect of Knowledge Management Execution on Organizational Performance (Case study: Shir-e-Pegah Corporate)

Document Type : Case study

Authors

1 M.A of Human Resource Management, Faculty of Alborz, University of Tehran, Karaj, Iran.

2 Associate Professor, Department Business Management, Faculty of Management, University of Tehran, Tehran, Iran.

3 Professor, Department Business Management, Faculty of Management, University of Tehran, Tehran, Iran.

Abstract

Nowadays, the organizations will be successful and victorious to the changes and developments that can improve and develop their intangible capitals and knowledge to affect the other organizational variables such as effectiveness. For this purpose, the present research aims to study the effect of execution of knowledge management on the improvement of organizational performance that was applied in Shir-e-Pegah Company. The population of this study also consisted of all personnel of Shir-e-Pegah Co., from expert to higher levels, total of 350 persons and the sample size based on Cochrane formula is 184 persons. The samples were selected out of population for implementation of questionnaire based on simple random sampling, and the questionnaires were distributed. The instrument used in this study included the standard questionnaires of knowledge management execution and organizational performance of Zayed (2012) that has been designed based on theoretical model of Bhatti et al (2011). Knowledge management execution questionnaire has 24 items and organizational performance has 6 items based on 5-point Likert spectrum, that assess the variables such as culture, intellectual capital, processes, knowledge management strategy and organizational performance. The results of simple linear regression analysis test showed that the general element of knowledge management and also 4 elements of knowledge management significantly predict the variance of dependent variable of organizational performance and out of these elements, knowledge management has obtained the highest regression coefficient

Keywords


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Volume 2, Issue 4 - Serial Number 7
Serial No.7- Winter Quarterly
February 2020
Pages 113-151
  • Receive Date: 08 October 2019
  • Revise Date: 04 January 2020
  • Accept Date: 04 January 2020