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Vol. 7 No. 2 (2018): JITA - APEIRON

Nataša Đalić, Mina Paunović

INFLUENCE OF INFORMATION TECHNOLOGIES ON THE COMPANY’S COMPETITIVE ADVANTAGE ON THE MARKET IN CONDITIONS OF THE GLOBAL CRISIS

Original scientific paper

DOI: https://doi.org/10.7251/JIT1702108DJ

Abstract

In the recent decades, there has been recorded a great expansion in the computing and communication field and all the predictions are pointing to the further technological progress when using information technologies (IT) in the companies’ business. The appearance of IT in business offers certain advantages, has an influence on the business quality, cost control and also on achieving and maintaining competitive advantage of companies in conditions of the global crisis. The research was carried out on the teritory of Republika Srpska, on the sample of 136 small and medium enterprises. The key goal of this research work was to analyze the existing effects of IT at the level of competitive advantage of companies on the market in the global crisis conditions. The research results confirmed a big importance of IT in the company business for the purpose of achieving and maintaining competitive advantage on the market in conditions of the global crisis.

Keywords: : information technologies, competitive advantage, market, global crisis.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Vol. 26 No. 2 (2023): JITA - APEIRON

Igor Shubinsky, Alexey Ozerov

Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures

Original scientific paper

Abstract

The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.

Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.