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Publications

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  • All HBS Web  (7)
    • Faculty Publications  (4)

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    • All HBS Web  (7)
      • Faculty Publications  (4)

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      • January 2023
      • Article

      Firm-Induced Migration Paths and Strategic Human-Capital Outcomes

      By: Prithwiraj (Raj) Choudhury, Tarun Khanna and Victoria Sevcenko
      Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We...  View Details
      Keywords: Worker Relocation; Turnover; Firm-induced Migration; Smaller Towns; Employee Mobility; Geographic Mobility; Migration; Clusters; Employees; Geographic Location; Performance; Opportunities; Retention; Human Capital; Talent and Talent Management
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      Choudhury, Prithwiraj (Raj), Tarun Khanna, and Victoria Sevcenko. "Firm-Induced Migration Paths and Strategic Human-Capital Outcomes." Management Science 69, no. 1 (January 2023): 419–445.
      • 2021
      • Working Paper

      Virtual Watercoolers: A Field Experiment on Virtual Synchronous Interactions and Performance of Organizational Newcomers

      By: Iavor Bojinov, Prithwiraj Choudhury and Jacqueline N. Lane
      Do virtual, yet informal and synchronous, interactions affect individual performance outcomes of organizational newcomers? We report results from a randomized field experiment conducted at a large global organization that estimates the performance effects of “virtual...  View Details
      Keywords: Remote Work; Virtual Water Coolers; Social Interactions; Careers; Field Experiment; Employees; Interpersonal Communication; Internet and the Web; Performance; Personal Development and Career
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      Bojinov, Iavor, Prithwiraj Choudhury, and Jacqueline N. Lane. "Virtual Watercoolers: A Field Experiment on Virtual Synchronous Interactions and Performance of Organizational Newcomers." Harvard Business School Working Paper, No. 21-125, May 2021.
      • January 2021
      • Article

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...  View Details
      Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
      • 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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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
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