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  • 2020
  • Working Paper

Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a...  View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
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  • August 2018 (Revised April 2019)
  • Supplement

Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those...  View Details
Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
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