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Evolution of Generative AI for Business Decision-Making: A Case of ChatGPT

Euclides Lourenço Chuma, Ângela Maria Alves, Gabriel Gomes de Oliveira

2024Management Science and Business Decisions16 citationsDOIOpen Access PDF

Abstract

This work presents a comparative analysis between the responses generated by ChatGPT 3.5 (January 2023 version) and ChatGPT 4 (January 2024 version) in response to a set of questions about business. It serves as an update to the previously published work titled "Generative AI for Business Decision-Making: A Case Study with ChatGPT" by the authors, which utilized ChatGPT 3.5 in January 2023. The same methodology and questions from the previous work were applied, but this time using ChatGPT 4 in its January 2024 version. This approach allows us to offer insights into the evolution of the ChatGPT tool for business decision-making. Therefore, this work can be seen as a continuation of the previous work by the authors and will also serve as a basis for future comparative studies. The responses generated by ChatGPT 4 proved to be more detailed and organized compared to those generated by ChatGPT 3.5. However, in some questions, ChatGPT 3.5 provided answers regarding certain possibilities that were not emphasized in ChatGPT 4. Furthermore, ChatGPT 4's responses contained more up-to-date content. In all the cases analyzed, ChatGPT 4 remained an asset in the decision-making process, providing a comprehensive overview of the topics. However, it's essential to emphasize that ChatGPT 4 does not substitute for a business decision-making expert.

Topics & Concepts

Generative grammarAsset (computer security)Computer scienceWork (physics)Set (abstract data type)Management scienceBusiness decision mappingProcess (computing)ContinuationArtificial intelligenceDecision support systemEngineeringOperating systemProgramming languageMechanical engineeringComputer securityExplainable Artificial Intelligence (XAI)Big Data and Business Intelligence
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