Models and Methods to Estimate Digitalization Success Predictively
- 10.2991/csit-19.2019.5How to use a DOI?
- digitalization, effects, performance, efficiency, capabilities, models
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 then – to estimate effects of non-information 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.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexander S. Geyda PY - 2019/12 DA - 2019/12 TI - Models and Methods to Estimate Digitalization Success Predictively BT - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019) PB - Atlantis Press SP - 27 EP - 32 SN - 2589-4900 UR - https://doi.org/10.2991/csit-19.2019.5 DO - 10.2991/csit-19.2019.5 ID - Geyda2019/12 ER -