COGNITIVE EFFECTIVENESS IN DATA VISUALIZATION: IMPROVING BUSINESS MANAGEMENT OF INDUSTRIAL ENTERPRISES

The article explores the role of cognitive efficiency in data visualization for optimizing management decisions in industrial enterprises. The key principles of cognitive psychology, including the theory of dual coding, the concept of cognitive load and Gestalt principles, as well as their application in the design of information systems, are considered. The analysis of BPMN and UML business notations adapted to reduce cognitive load is carried out. Experimental methods (eye-tracking, reaction time analysis) have confirmed that optimization of data visualization increases the speed and accuracy of decision-making. Recommendations on the integration of cognitive principles into management practices, including the development of adaptive dashboards and staff training, are proposed.

Authors

Publication Details

Journal
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Published
2025-01-01
DOI
https://doi.org/10.36871/ek.up.p.r.2025.05.03.007
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

COGNITIVE EFFECTIVENESS IN DATA VISUALIZATION: IMPROVING BUSINESS MANAGEMENT OF INDUSTRIAL ENTERPRISES

Konstantin L. Svechnikov, Marsel M. Valeev
EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA
Big Data and Business Intelligence
article

COGNITIVE EFFECTIVENESS IN DATA VISUALIZATION: IMPROVING BUSINESS MANAGEMENT OF INDUSTRIAL ENTERPRISES

Konstantin L. Svechnikov, Marsel M. Valeev
article en

Abstract

The article explores the role of cognitive efficiency in data visualization for optimizing management decisions in industrial enterprises. The key principles of cognitive psychology, including the theory of dual coding, the concept of cognitive load and Gestalt principles, as well as their application in the design of information systems, are considered. The analysis of BPMN and UML business notations adapted to reduce cognitive load is carried out. Experimental methods (eye-tracking, reaction time analysis) have confirmed that optimization of data visualization increases the speed and accuracy of decision-making. Recommendations on the integration of cognitive principles into management practices, including the development of adaptive dashboards and staff training, are proposed.

EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYAVol. 5/3(158)
Openalex Percentile: Top 80%
Big Data and Business Intelligence
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