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Publications

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  • 2017
  • Working Paper

Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details
Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration
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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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  • August 2018 (Revised April 2019)
  • Case

Chateau Winery (A): Unsupervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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  • Web

Data Tips & Toolkits - Research Computing Services

Text Similarity tf-idf Cosine similarity Word2Vec GloVe N-gram overlap, which compares the overlap of n-grams (continuous sequences of words) between two texts. You can then... View Details
  • 08 Jan 2019
  • First Look

New Research and Ideas, January 8, 2019

help him understand themes across the deals that can inform construction of new deals in the future. Topics include unsupervised learning; similarity and proximity; K-means clustering, with measures of Euclidean distance and View Details
Keywords: Dina Gerdeman