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The performance of Large Language Models, such as ChatGPT, generally increases with every new model release. In this study, we investigated to what degree different GPT models were able to solve the exams of three different undergraduate courses on warehousing. We contribute to the discussion of ChatGPT's existing logistics knowledge, particularly in the field of warehousing. Both the free version (GPT-4o mini) and the premium version (GPT-4o) completed three different warehousing exams using three different prompting techniques (with and without role assignments as logistics experts or students). The o1-preview model was also used (without a role assignment) for six runs. The tests were repeated three times. A total of 60 tests were conducted and compared with the in-class results of logistics students. The results show that the GPT models passed a total of 46 tests. The best run solved 93% of the exam correctly. Compared with the students from the respective semester, ChatGPT outperformed the students in one exam. In the other two exams, the students performed better on average than ChatGPT. [ABSTRACT FROM AUTHOR]

Background: This paper is the first-ever discussion of sport logistics as an intersection of the academic disciplines of logistics and sport management. Methods: It reviews past literature and states that logistics in sport is widely overlooked in academic literature. It illustrates the importance and pervasive nature of logistics in the sport industry and questions how sport logistics can be positioned at the interface of logistics and sport management science. Both disciplines are contrasted under the common lens of Porter's value chain. Results: Operations, organization and marketing are identified along with economics and strategy as areas of sport management (highly) involved with logistics. Sport logistics is defined as a research area dealing with storage and transportation issues in sport organizations. Conclusions: Based on a case example from practice, athlete equipment logistics, the authors elaborate on the unique characteristics of managing logistics in sport, e.g., low competition, personal relationships and high demand predictability. They call for a broader discourse on sport logistics in academia. [ABSTRACT FROM AUTHOR]