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Developing a Model of Return on Investment in Knowledge Management.

Authors :
Hasanzadeh, Mohammad
Daj, Soraya
Source :
International Journal of Information Science & Management. 2021, Vol. 19 Issue 2, p125-136. 12p.
Publication Year :
2021

Abstract

The importance of knowledge management as a competitive advantage is evident to everyone, and it is considered one of the critical factors of successful organizations. The capitalist view of knowledge management has led to the measurement of the return on investment resulting from it, and the return on investment has been recognized as a financial indicator for measuring knowledge management. What are the main components of knowledge management? Have components the same coefficients? The impact of the components is different and has different values. In order to achieve this importance, the present study was conducted to develop a return on investment model in knowledge management. This Practical research is mixed method, and in the form of exploratory schema in three stages, qualitative (using grounded theory and the use of interview tools), quantitative (using a descriptive method, a survey using questionnaire tool), quantitative (using a descriptive method, a survey using questionnaire tool) has been done. Each method is analyzed using, respectively, MAX QDA and SPSS software. The findings of the first stage of the study include identifying the benefit and costs of knowledge management. Then, the components validity is obtained, and then in the third stage, a coefficient is assigned to each of them. Identifying costs and benefit Components is a first stage achievement. Experts measured the validity of each component to identify components accurately. Furthermore, finally, in the third stage, each of these components was assigned a coefficient. The development of a new formula, taking into account each of these coefficients, is considered research innovation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20088302
Volume :
19
Issue :
2
Database :
Academic Search Index
Journal :
International Journal of Information Science & Management
Publication Type :
Academic Journal
Accession number :
152052582