id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-269693-9tsy79lt	Shao, Xue-Feng	Multistage implementation framework for smart supply chain management under industry 4.0	2020-10-06		.txt	text/plain	11032	507	48	Industry 4.0, or smart manufacturing, are the terms that are being used for digital transformation, using technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Cloud Computing (CC), Machine Learning (ML), and Data Analytics (DA), etc. Many researchers have explained the phenomena of smart manufacturing, or industry 4.0 technologies, in terms of an augmented and virtual reality (Wu et al., 2013; Rüßmann et al., 2015; Kolberg and Zühlke, 2015) , additive manufacturing (Huang et al., 2013; Chan et al., 2018) , internet of things (Wu et al., 2017) , big data analytics (De Mauro et al., 2015; Addo-Tenkorang and Helo, 2016; Lenz et al.,2018) , and cyber-physical systems (Monostori, 2014; Lee et al., 2015; Zhong and Nof, 2015) . The organization for this study was selected using the theoretical sampling, as it provided the opportunity to capture the evolution of the industry 4.0 implementation across a supply chain that included the focal firm, along with its supplier and a downstream customer (Eisenhardt, 1989 , Siggelkow, 2007 .	./cache/cord-269693-9tsy79lt.txt	./txt/cord-269693-9tsy79lt.txt