The Impact of Knowledge Management on the Economic Indicators of the Companies

Markić, Marko; Požega, Željko; Crnković, Boris

doi:10.2478/jeb-2022-0013

Cited by 6 publications

(5 citation statements)

References 27 publications

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“…The knowledge management system in the organization consists of business processes, employees, and information technologies, while the system of economic indicators of the organization can consist of liquidity, economic efficiency, and profitability. A significant number of large corporations have implemented certain elements of knowledge management, certain medium-sized companies are involved in the implementation process, while a large number of small companies have not implemented elements of knowledge management (Markić et al, 2022). Additionally, knowledge management has a positive effect on certain economic indicators of organizations.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Analysis of the impact of knowledge management on the financial performance of companies in Vojvodina

Gluvakov,

Stanisavljev,

Kavalić

et al. 2023

JEMC

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The research problem represents the fact that knowledge management is not a term that is often mentioned in the domestic economy and it can be said that it is still an underdeveloped area. The aim of this paper is to examine the level of efficiency of knowledge management and its impact on the financial performance of companies in the territory of Vojvodina. The survey included 126 employees in production and service companies. The independent variable is represented by an instrument for examining the level of implementation of knowledge management through nine dimensions, and the dependent variable is represented through the dimension of financial performance, which consists of seven items. The results show that the level of implementation of knowledge management is above average. A significant positive influence and connection between knowledge management and the financial performance of companies was also determined, especially when it comes to organizational culture, employees, knowledge acquisition process, knowledge conversion process, knowledge protection process, and competitive advantage. One of the key guidelines for further research refers to the integration of knowledge management with the specific characteristics of the domestic business environment. It is recommended to repeat the analysis of the impact of knowledge management on the financial performance of domestic companies in the established time frame and in the stipulated organizational conditions.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Analysis of the impact of knowledge management on the financial performance of companies in Vojvodina

Gluvakov,

Stanisavljev,

Kavalić

et al. 2023

JEMC

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“…From the perspective of challenges, after the comprehensive purchase and sale of electricity during the same period, the volatility of electricity and line loss indicators has increased, making traditional "step by step" control difficult to sustain. It is necessary to optimize core indicator control [6] , continue to carry out loss reduction management [7] , do a good job in electricity purchase and sale management, play a role in data empowerment [8] , and improve platform support capabilities.…”

Section: Introductionmentioning

confidence: 99%

Joint Modeling Analysis of Production and Operation Indicators for Power Grid Enterprises

Xia,

He,

Zhang

et al. 2023

Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, Sept

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Production and operation management is an important means of resource integration, allocation, coordination, and utilization in power grid enterprises. At present, there have been significant changes in the operating environment and profit models of power grid enterprises. The external situation is becoming increasingly severe. Production and operation are subject to multiple constraints. This article introduces production and operation indicators and exogenous factor indicators, considering the random differences of each individual, and constructs a longitudinal data joint model. Use joint models to predict and analyze production and operation indicators. The empirical research shows that the joint model takes into account the correlation between indicators and the difference between individuals, which is superior to the single model in structure, and has better accuracy and dynamics in prediction.

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“…Implicit factors are non-obvious factors that have a significant impact on the business processes of an economic entity which are based on hidden information [10]. In the context of the knowledge-based economy, when the impact of information as the most important resource becomes most significant, the impact of implicit factors in the management system of an organization increases [11,12]. Accordingly, it seems appropriate to single out, in addition to factors that clearly affect the IC development (explicit), factors of hidden, indirect impact (implicit).…”

mentioning

confidence: 99%

Formation of the causal field of indicators for an organization’s intellectual capital development: A concept and a fuzzy economic and mathematical model

Zavalin,

Nedoluzhko,

Solodukhin

2023

Bus. Inform.

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The development of intellectual capital theory through the introduction of the concept of implicitness involves considering intellectual capital as an implicit factor, so that the process of its formation is largely determined by the impact of specific hidden factors whose impact is expressed implicitly and is difficult to formalize. Currently, the process of selecting explicit and implicit factors affecting intellectual capital is not formalized in domestic and foreign studies, and therein is the relevance of this work. The purpose of this study was to develop a scheme for selecting explicit and implicit factors in the development of the organization’s intellectual capital in conjunction with its strategy based on a modified Balanced Scorecard, taking into account the distribution of indicators by types of cognitive activity. The implementation of this scheme was carried out by developing a fuzzy economic and mathematical model suitable for practical use. The main feature of the model is the possibility of fuzzy setting of “cut-off boundaries” for explicit and implicit factors. We present the results of testing the model on the example of a large regional university. Sets of explicit and implicit factors of the university’s intellectual capital are given for various “cut-off boundaries” using various defuzzification methods.

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The Impact of Knowledge Management on the Economic Indicators of the Companies

Cited by 6 publications

References 27 publications

Analysis of the impact of knowledge management on the financial performance of companies in Vojvodina

Analysis of the impact of knowledge management on the financial performance of companies in Vojvodina

Joint Modeling Analysis of Production and Operation Indicators for Power Grid Enterprises

Formation of the causal field of indicators for an organization’s intellectual capital development: A concept and a fuzzy economic and mathematical model

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