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Dynamic Capabilities Indicators Estimation of Information Technology Usage in Technological Systems

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Recent Research in Control Engineering and Decision Making (ICIT 2019)

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Abstract

The article outlines conceptual and corresponding formal models that provide means for estimation of information technology usage operational properties. Dynamic capability defined as the operational property of a system that describe its ability to adapt to changes of the system’s environment. Operational properties indicators of IT usage defined as a kind of system operational properties indicators under conditions of changing environment in such a way that it is possible to estimate their values analytically. Such estimation fulfilled through plotting the dependences of predicted values of operational properties of IT usage against variables and options of problems solved. To develop this type of models, the use of information technologies during system functioning analyzed through an example of a technological system. General concepts and principles of modeling of information technology usage during operation of such systems defined. An exemplary modeling of effects of technological information and related technological material (non-information) operations of technological systems operation provided. Based on concept models of operation of technological systems with regard to information technologies usage, set-theoretical models followed by functional models of technological systems operation using information technologies introduced. An example of operational properties indicators estimation considered based on ARIS diagramming tools usage.

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Acknowledgment

Performed under support of the RFBR grant No. 16-08-00953.

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Correspondence to Alexander Geyda .

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Geyda, A. (2019). Dynamic Capabilities Indicators Estimation of Information Technology Usage in Technological Systems. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_31

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