Intelligent systems in business function

Author:

Denić NebojšaORCID,Stojanović Kostadinka,Popović Miloš

Abstract

The goal of this studious analysis is to determine the extent to which sophisticated technology can be used to improve business operations. Today's time brings daily new and rapid changes in the business environment to which small and medium-sized enterprises in Serbia should adapt as soon as possible, often and on the fly. The defined objectives of the research refer to the assumption that business intelligence with its methods, techniques and tools can improve existing business processes in the company, make them more efficient while reducing overall business costs. Research shows that there are almost no companies that have not incorporated the principles of reengineering, introduction of total quality management (eng. Total Quality Management-TQM), "outsourcing" and the like into their strategies and plans. One of the most appropriate ways to create a competitive advantage for SMEs in Serbia, in the current conditions of the world economic crisis and recession, is the concept of business intelligence (eng. Business Intelligence - BI). The work is based on the original methodological approach to the development and construction of BIS and on the testing of the intelligent system and the critical assessment of its application in the process of managing the enterprise.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

General Medicine

Reference16 articles.

1. Ahmad, A., Ahmad, R. & Hashim, K. F. 2016. 'Innovation Traits for Business Intelligence Successful Deployment'. Journal of Theoretical & Applied Information Technology, Vol.89, No. 1, pp.96-107;

2. Cavalcanti E.P., The Relationship between Business Intelligence and Business Success, Journal of Competitive Intelligence and Management., Vol.3, No.1,p.3-11. 2005;

3. Denić, N., Radević, B., i Siljković, B., The role of digital marketing in promotion of wine from Kosovo and Metohija, Ekonomika poljoprivrede 2018, 65 (3),1071-1083,doi:10.5937/ekoPo lj1803071D,UDC663.2:004. 738.5 (497. 115) https://scindeksclanci.ceon.rs/da ta/pdf/0352-3462/2018/035234621 803071D.pdf;

4. Denić, N., Nešić, Z., Ilić, I. et al. Adaptive neuro fuzzy estimation of the most influential speckle noise distributions in color images for denoising performance prediction. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-14633-5;

5. Denić, N., Moračanin, V., Milić, M., i Nešić Z., (2014), Risk Management in Information System Projects, Tehnicki Vjesnik-Technical Gazette, (2014), vol. 21 br. 6, ISSN 1330-3651 (Print), ISSN 1848-6339 (Online), str. 1239-1242., UDC/UDK 658.51.001.3:004.451 (IF 0,579 for 2022), https://pdfs.semanticscholar.org/ e296/bdeb45d1529063da938bf61 82e2cf02ba946.pdf;

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