Výsledky vyhľadávania
- 2023 ,no. 2. Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434
- 2023 ,no. 1. Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434
- Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis [elektronický zdroj]. - Spracovaný v EKO-INDEX, Registrovaný: Erihplus, Registrovaný: Index Copernicus. Praha : Czech Technical University in Prague. 2x ročne. Dostupné na : <http://bit.fsv.cvut.cz/archive.html> ISSN 2570-7434.
- LIU, Ngoc Min-hau - NGO, Phaoun Phom. Intelligent Manufacturing with Machine Learning: A Perspective of European Home Goods Industry. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434, 2023, vol. 13, no. 1, pp. 20-29.
- WALSON, Brandin James - KRISHENAN, Arbindhakumara. Role of Analytics in Driving Innovation in the Insurance Industry in Developing Countries. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434, 2023, vol. 13, no. 1, pp. 40-47.
- HENDSTEIN, Christophar Nicholas. How Analytics Drive Business Performance and Profitability. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434, 2023, vol. 13, no. 1, pp. 11-19.
- YING, Fen Hui - NGUYEN, Hog Duy. Digital Healthcare in Europe and Efficient Patient Care: Role of Analytics. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2023. ISSN 2570-7434, 2023, vol. 13, no. 1, pp. 1-10.
- 2022 ,no. 1. Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. Praha : Czech Technical University in Prague, 2022. ISSN 2570-7434
- WICKRAMASINGHE, Vathsala. Human Resource Information Systems of Medium-Sized Firms. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2022. ISSN 2570-7434, 2022, vol. 12, no. 1, pp. 22-28.
- BORYSLAV, Faddei Danylo - DANCIU BARBANEAGRA, Alexandra - KOVACOVA, Maria Katarinae. How Supply Chain Analytics Improve Business Agility of Manufacturing Firms in Eastern Europe. In Business & IT : Scientific Reviewed Journal: vědecký recenzovaný časopis. - Praha : Czech Technical University in Prague, 2022. ISSN 2570-7434, 2022, vol. 12, no. 1, pp. 2-11.