“…While big data has created new challenges (e.g., data growth, infrastructure, governance/policy, integration, compliance/regulation or visualization), it offers an opportunity for data scientists to develop predictive analytic techniques and discover unknown dependencies across various data sources both within and exogenous to the supply chain (Rozados & Tjahjono, 2014). Common examples are traffic analytics for transport (Khazaei, Zareian, Veleda, & Litoiu, 2016), Internet of Things (O'Leary, 2013), consumer review analytics and prediction (Chong, Ch'ng, Liu, & Li, 2015), health care (Bates, Saria, Ohno-Machado, Shah, & Escobar, 2014), and social media analysis (Manovich, 2012). As discussed in the following section, sentiment analysis operates using big data, but specifically it addresses the emotions or sentiments in online posts, that is, consumers' feelings expressed within their online reviews.…”