Discipline: Social, Behavioral, and Economic Sciences
Subcategory: Computer Science & Information Systems
Session: 1
Room: Park Tower 8212
Kennedy Garrett - Savannah State University
Food insecurity is a major problem that affects millions of people in the United States and around the globe. At the forefront of the battle to eradicate this humanitarian crisis, nonprofit organizations like the Food Bank of Central and Eastern Carolina are managing food supply chains to distribute food to local communities in the 34 counties they cover. To advance their mission of leaving no one hungry they have partnered with the NSF-funded FEEED project to find innovative solutions to fighting hunger. In this research, we studied decision making at a local food bank and attempted to model judgement policy using case studies. Three experienced decision makers were asked to make categorical judgements from a set of 21 case studies on food distribution to counties using four cues. A multiple logistic regression analysis with variable selection found one statistically significant variable at alpha 0.05 confidence level. This finding matched with feedback given by participants in the post study responses. The resulting model can be used to estimate the probability of taking action on distribution strategy as percent difference varies.
Keywords *: decision making, judgement, lens model, food insecurity
Funder Acknowledgement(s): NSF
Faculty Advisor: Steven Jiang, xjiang@ncat.edu
Role: My part of the research I designed survey and communicated with participants.