Students in an undergraduate upper-level Business Forecasting course at Penn State University Lehigh Valley applied Generative AI to explore its role in enhancing case study analysis. The students used a Harvard Business School case study to analyze the role of business forecasting in predicting demand for a new product in the market under specific conditions. Students first discussed the case study individually and then used AI with “prompt engineering” techniques to compare results under two different scenarios. The findings suggest that AI generally improved the depth and structure of responses, refining students’ arguments and adding several insights. However, students also noted instances where AI produced overly generic responses or failed to capture the full context of the case.

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How Can Generative AI Assist in Business Forecasting Techniques?

  • Subhadra Ganguli,
  • Ana Mercado,
  • Collin Jackson Byrnes,
  • Joshua D. Davitt,
  • Joseph John Fitzpatrick,
  • Christopher William Howell,
  • Megraj Lagun

摘要

Students in an undergraduate upper-level Business Forecasting course at Penn State University Lehigh Valley applied Generative AI to explore its role in enhancing case study analysis. The students used a Harvard Business School case study to analyze the role of business forecasting in predicting demand for a new product in the market under specific conditions. Students first discussed the case study individually and then used AI with “prompt engineering” techniques to compare results under two different scenarios. The findings suggest that AI generally improved the depth and structure of responses, refining students’ arguments and adding several insights. However, students also noted instances where AI produced overly generic responses or failed to capture the full context of the case.