Dynamic Capabilities Indicators Estimation of Information Technology Usage in Technological Systems

Geyda, Alexander

doi:10.1007/978-3-030-12072-6_31

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…Therefore, the CTS study should consider the CTS as it improves because of systematic changes in the requirements and other environmental influences (i.e., in changing conditions). Such an improvement of CTS functioning in changing conditions requires the use of informational operations, performed in accordance with corresponding IT [21]. The need to perform informational and then transitional operations is caused by changing environmental influences [22] and is typical not only for the complex technical and complex technological systems considered to be an example but also for other systems.…”

Section: Concepts and Methods To Estimate System Potential Regarding The Use Of Information Operationsmentioning

confidence: 99%

System Potential Estimation with Regard to Digitalization: Main Ideas and Estimation Example

Geyda

Lysenko

2020

Information

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The article outlines the main concept and examples of mathematical models needed to estimate system potential and digitalization performance indicators. Such an estimation differs in that it is performed with predictive mathematical models. The purpose of such an estimation is to enable a set of problems of system design and functional design of information technologies to be solved as mathematical problems, predictively and analytically. The hypothesis of the research is that the quality of system functioning in changing conditions can be evaluated analytically, based on predictive mathematical models. We suggested a property of the system potential (or system capability) that describes the effects of the compliance of changing system functioning with changing conditions analytically and predictively. Thus, it describes the performance of the use of information operations to realize functioning in changing conditions. The example includes system’s environment graph-theoretic models and system’s models regarding IT use to react to changing environments. As a result of the suggested models and methods, the quantitative estimation of system potential regarding information technology use becomes possible depending on the parameters and variables of the problems to be solved. Use cases of problems decision with the use of such indicators include choosing optimal information technology implementation and the synthesis of information operation characteristics.

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Section: Concepts and Methods To Estimate System Potential Regarding The Use Of Information Operationsmentioning

confidence: 99%

System Potential Estimation with Regard to Digitalization: Main Ideas and Estimation Example

Geyda

Lysenko

2020

Information

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“…The aim of the presented research is to suggest concepts for developing mathematical models of information use for system of technological and organizational nature 34 , such as production systems, organizational and socio-technical systems. Such models, based on already suggested concepts, models and methods [35][36][37] should allow to close the gap stated. They can be based on probabilistic activity models, networks of actions models, project models.…”

Section: Introductionmentioning

confidence: 99%

The method of information use schematization

Geyda

2023

International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)

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The article provides a summary of existing concepts and methods for estimating the quality of information use in solving various problems. It is noted that there is a lack of mathematical models and frameworks to explain the measures of information quantity, quality, and information use in relation to human activity outcomes. The aim of the presented research is to suggest concepts and diagrammatic models for developing mathematical models of information use for technological and organizational systems, based on probabilistic activity models. The method of modeling suggested uses the concept of complex state and modeling of their transitions, including details about the possible elementary states and substates of the system, as well as the cause-and-effect relationships between those states and any measures that apply to them. The proposed diagrammatic models aim to close the gap between existing concepts and formalized actionable mathematical models and methods that can be used for discrete and organizational systems in the real world. The concepts of actionable knowledge and information value are highlighted as important concepts in today's knowledge-based economy, where organizations and individuals seek to gain a competitive advantage through the effective use of information and knowledge.

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“…Such study shall make it possible to predict the effects of activity with mathematical models, depending on the variable characteristics of the information operations use during system functioning. In this case mathematical problems of evaluation, analysis, and synthesis [8,9] of information technologies use. Unfortunately, there are no suitable models and methods for analytically describing the effects of information operations, considering further use of the effects, produced by information operations.…”

Section: Introductionmentioning

confidence: 99%

Models and Methods to Estimate Digitalization Success Predictively

Geyda¹

2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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The article outlines models of the formation of digitalization effects on the example of modern information (that is-digital) operations use in technological systems and methods to estimate indicators of digitalization success predictively. Models and methods constructed based on graph theory, probability theory and technical systems efficiency theory. Models describe changes in non-information operations as a result of the use of information operations as a reaction to environment change and thento estimate effects of noninformation operations in changing environments. Such models and methods can be used, for example, to estimate the digitalization performance, efficiency, and effectiveness indicators based on predictive mathematical models of information technology usage. Such models could be used for the estimation of dynamic capability and indicators of system potential as a result of technological systems digitalization. The estimation of mentioned operational properties of digitalization is obtained by plotting the dependences of predicted values of operational properties of the use of information technology as a result of digitalization against the variables and options of the problems to be solved.

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Dynamic Capabilities Indicators Estimation of Information Technology Usage in Technological Systems

Cited by 9 publications

References 16 publications

System Potential Estimation with Regard to Digitalization: Main Ideas and Estimation Example

System Potential Estimation with Regard to Digitalization: Main Ideas and Estimation Example

The method of information use schematization

Models and Methods to Estimate Digitalization Success Predictively

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