“…For example, predicting geospatial spread of diseases (predictive) for better resource allocation (prescriptive) is critical for pandemic response (Araz, Lant, Jehn, & Fowler, 2013; Huang et al., 2017); understanding emerging trends in consumer behavior during natural disasters such as hurricanes is critical for optimal inventory management (Morrice, Cronin, Tanrisever, & Butler, 2016). Other examples can be found in analyzing social networks and predicting the role of social media on public behavior (Morss, Cuite, Demuth, Hallman, & Shwom, 2018), managing traffic flows during catastrophic events (Tuydes‐Yaman & Ziliaskopoulos, 2014), and optimizing location of relief facilities for maximum coverage and safety (Salman & Yücel, 2015; Battara et al., 2018; Choi et al., 2018). Operations in supply chains are directly affected by these events and can be disrupted, which then would increase the severity of these events not only economically, but also in terms of number of lives and regions at risk (Apte, Khawam, Regnier, & Simon, 2016; Jahre et al., 2016).…”