Paper
1 October 2018 Methods and techniques for evaluating effectiveness of information technology implementation into business processes
Elena М. Kuzmina, Svetlana А. Yaremko, Ruslana V. Ignatovska, Tatiana V. Sichko, Andrzej Smolarz, Saule Smailova
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108081N (2018) https://doi.org/10.1117/12.2500620
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
Abstract
The article studies the methods of evaluating the effectiveness of the information technology implementation into an enterprise’s business processes. The criteria of the effectiveness of IT solutions implementation are researched. The main characteristics and peculiarities of existing methods for evaluating the effectiveness of IT implementation are analyzed to determine the optimal one. A comprehensive methodology for evaluating the effectiveness of IT implementation is proposed. This methodology allows to accurately evaluate the effectiveness of business process implementation; to identify problems with help of the business process automation; to identify issues to be solved; to evaluate the expected results, and to justify the optimal strategy for management basing on IT solutions.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elena М. Kuzmina, Svetlana А. Yaremko, Ruslana V. Ignatovska, Tatiana V. Sichko, Andrzej Smolarz, and Saule Smailova "Methods and techniques for evaluating effectiveness of information technology implementation into business processes", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108081N (1 October 2018); https://doi.org/10.1117/12.2500620
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KEYWORDS
Information technology

Data processing

Reliability

Analytical research

Control systems

Complex systems

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