Changes in climate conditions are expected to pose signi cant challenges to the food industry, as it is very
likely that they will a ect the production of various crops. As a consequence, decisions associated with the
sourcing of food items will need to be reconsidered in the years to come. In this paper, we investigate how
environmental changes are likely to a ect the suitability and risk of di erent regions |in terms of growing
certain food items| and whether companies should adapt their sourcing decisions due to these changes. In
particular, we propose a three-stage approach that guides food sourcing decisions by incorporating climate
change data. The methodology utilises environmental data from several publicly available databases and
models weather uncertainties to calculate the suitability and risk indices associated with growing a crop in
a particular geographical area. The estimated suitability and risk parameters are used in a mean-variance
analysis to calculate the optimal sourcing decision. Results from a case example indicate that sourcing
decisions of popular food items are likely to require signi cant adaptations due to changes to the suitability
of certain regions
