Supply chain disruptions have recently been at the center of both academic and policy debates. After reviewing some of the emerging literature on supply chain disruptions, we discuss the role of buyers' sourcing strategies in mediating responses to such shocks. We focus on two dimensions of a buyer's sourcing strategy: relationality (the extent to which the buyer concentrates its sourcing in a few core suppliers) and just-in-time. On the one hand, theoretical models of sourcing suggest that these are complementary practices and their adoption should be positively correlated in the data. On the other hand, the two dimensions have opposing implications for supply-chain resilience to shocks. We borrow an empirical proxy for a buyer's relationality from Cajal-Grossi et al. (2023) and introduce a new proxy for a buyer's adoption of just-in-time inventory systems. Using data from the apparel global value chain we compute the two proxies and present three results: (a) the variation in both relationality and just-in-time is mostly explained by across-buyer variation, rather than product or country variation, (b) consistent with the theoretical analysis in Taylor and Wiggins (1997), relationality and just-in-time are highly correlated with each other across buyers, (c) at the onset of the global Covid-19 pandemic, buyers' overall sourced values declined relatively less for relational buyers but not for buyers with just-in-time inventory systems.