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

Q3 Economics, Econometrics and Finance Business Informatics Pub Date : 2023-09-30 DOI:10.17323/2587-814x.2023.3.53.69
Georgij Zavalin, Olga Nedoluzhko, Konstantin Solodukhin
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Abstract

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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组织智力资本发展指标因果场的形成:一个概念和模糊经济数学模型
通过引入内隐性概念来发展智力资本理论,涉及到将智力资本视为一种隐性因素,其形成过程在很大程度上取决于特定隐性因素的影响,这些隐性因素的影响是隐性表达的,难以形式化。目前,国内外研究对影响智力资本的显性和隐性因素的选择过程尚未形式化,这也是本研究的相关性所在。本研究的目的是开发一种方案,用于选择组织智力资本发展中的显性和隐性因素,并结合其基于改进的平衡计分卡的战略,考虑到不同类型认知活动的指标分布。通过建立适合实际应用的模糊经济数学模型,对该方案进行了实施。该模型的主要特点是可以模糊设置显式和隐式因素的“截止边界”。最后以某大型地方大学为例,给出了模型的检验结果。使用各种去模糊化方法,给出了大学智力资本的各种“截止边界”的显性和隐性因素集。
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来源期刊
Business Informatics
Business Informatics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.50
自引率
0.00%
发文量
21
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