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@article{55463, author = {Davis, Ruth and Vochozka, Marek and Vrbka, Jaromír and Neguriță, Octav}, article_location = {New York, USA}, article_number = {3}, doi = {http://dx.doi.org/10.22381/EMFM15320201}, keywords = {artificial intelligence; big data; Industry 4.0; logistics; production}, language = {eng}, issn = {1842-3191}, journal = {Economics, Management, and Financial Markets}, title = {Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics}, url = {https://www.scopus.com/record/display.uri?eid=2-s2.0-85091868444&origin=resultslist&sort=plf-f&src=s&st1=Industrial+artificial+intelligence%2c+smart+connected+sensors%2c+and+big+data-driven+decision-making+processes+in+internet+of+things-based+real-time+}, volume = {15}, year = {2020} }
TY - JOUR ID - 55463 AU - Davis, Ruth - Vochozka, Marek - Vrbka, Jaromír - Neguriță, Octav PY - 2020 TI - Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics JF - Economics, Management, and Financial Markets VL - 15 IS - 3 SP - 9-15 EP - 9-15 PB - Addleton Academic Publishers SN - 18423191 KW - artificial intelligence KW - big data KW - Industry 4.0 KW - logistics KW - production UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85091868444&origin=resultslist&sort=plf-f&src=s&st1=Industrial+artificial+intelligence%2c+smart+connected+sensors%2c+and+big+data-driven+decision-making+processes+in+internet+of+things-based+real-time+ L2 - https://www.scopus.com/record/display.uri?eid=2-s2.0-85091868444&origin=resultslist&sort=plf-f&src=s&st1=Industrial+artificial+intelligence%2c+smart+connected+sensors%2c+and+big+data-driven+decision-making+processes+in+internet+of+things-based+real-time+ N2 - Employing recent research results covering Internet of Things-based real-time production logistics, and building our argument by drawing on data collected from Catapult, Deloitte, MHI, PwC, SME, Software AG, and ZDNet, the authors performed analyses and made estimates regarding the relationship between industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes. Structural equation modeling was used to analyze the collected data. ER -
DAVIS, Ruth, Marek VOCHOZKA, Jaromír VRBKA a Octav NEGURIȚ$\backslash$U A. Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics. \textit{Economics, Management, and Financial Markets}. New York, USA: Addleton Academic Publishers, 2020, roč.~15, č.~3, s.~9-15. ISSN~1842-3191. Dostupné z: https://dx.doi.org/10.22381/EMFM15320201.
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