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@article{51061, author = {Milward, Rosalie and Popescu, Gheorghe H. and Frajtova Michalikova, Katarina and Musova, Zdenka and Machová, Veronika}, article_location = {New York City}, article_number = {3}, doi = {http://dx.doi.org/10.22381/EMFM14320195}, keywords = {cyber-physical network; industry 4.0; digitized mass production}, language = {eng}, issn = {1842-3191}, journal = {Economics, Management, and Financial Markets}, title = {Sensing, Smart, and Sustainable Technologies in Industry 4.0: Cyber-Physical Networks, Machine Data Capturing Systems, and Digitized Mass Production}, url = {https://addletonacademicpublishers.com/contents-emfm/1709-volume-14-3-2019/3601-sensing-smart-and-sustainable-technologies-in-industry-4-0-cyber-physical-networks-machine-data-capturing-systems-and-digitized-mass-production}, volume = {14}, year = {2019} }
TY - JOUR ID - 51061 AU - Milward, Rosalie - Popescu, Gheorghe H. - Frajtova Michalikova, Katarina - Musova, Zdenka - Machová, Veronika PY - 2019 TI - Sensing, Smart, and Sustainable Technologies in Industry 4.0: Cyber-Physical Networks, Machine Data Capturing Systems, and Digitized Mass Production JF - Economics, Management, and Financial Markets VL - 14 IS - 3 SP - 37-43 EP - 37-43 PB - Addleton Academic Publishers SN - 18423191 KW - cyber-physical network KW - industry 4.0 KW - digitized mass production UR - https://addletonacademicpublishers.com/contents-emfm/1709-volume-14-3-2019/3601-sensing-smart-and-sustainable-technologies-in-industry-4-0-cyber-physical-networks-machine-data-capturing-systems-and-digitized-mass-production L2 - https://addletonacademicpublishers.com/contents-emfm/1709-volume-14-3-2019/3601-sensing-smart-and-sustainable-technologies-in-industry-4-0-cyber-physical-networks-machine-data-capturing-systems-and-digitized-mass-production N2 - Authors inspect the relevant literature on sensing, smart, and sustainable technologies in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. They performed analyses and made estimates regarding challenges of implementing artificial intelligence, top barriers encountered by manufacturers in Industry 4.0, the biggest benefits of industrial data analytics for organizations, and top five Industry 4.0 applications with progress achieved. Data collected from 4,600 respondents are tested against the research model by using structural equation modeling. ER -
MILWARD, Rosalie, Gheorghe H. POPESCU, Katarina FRAJTOVA MICHALIKOVA, Zdenka MUSOVA and Veronika MACHOVÁ. Sensing, Smart, and Sustainable Technologies in Industry 4.0: Cyber-Physical Networks, Machine Data Capturing Systems, and Digitized Mass Production. \textit{Economics, Management, and Financial Markets}. New York City: Addleton Academic Publishers, vol.~14, No~3, p.~37-43. ISSN~1842-3191. doi:10.22381/EMFM14320195. 2019.
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