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The Method of Evaluating Impacts of Knowledge Management on Job Satisfaction and Intellectual Level of Work

Jong-Chol Jin, Song-Nam Hong, Guang-Son Li and Nam-Ung Kim
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Jong-Chol Jin: Kim Il Sung University, North Korea
Song-Nam Hong: Kim Il Sung University, North Korea
Guang-Son Li: Kim Il Sung University, North Korea
Nam-Ung Kim: Kim Il Sung University, North Korea

International Journal of Knowledge Management (IJKM), 2020, vol. 16, issue 4, 42-62

Abstract: This paper aims to propose main facets and indices that characterize knowledge management (KM), job satisfaction (JS), and intellectual level of work (ILW), and introduce a method of determining degrees of their impacts based on explaining their relation theoretically. A method of examining the impacts of KM on JS of four classes of employees (general employee, expert, middle-manager, top-manager) is proposed. Then a method of evaluating ILW resulting from JS is considered. First, the main facets and indices that characterize KM, JS, and ILW in organizations are proposed, and then their relation is theoretically explained. Second, the relation between five facets of KM and six indices of JS is determined by first regression and a method of determining relation between five facets of KM and four indices of ILW is proposed using advanced pair-comparison method.

Date: 2020
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International Journal of Knowledge Management (IJKM) is currently edited by Hakikur Rahman

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