by Prithwiraj Choudhury - Publications - Faculty & Research

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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February 2012
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A 'Core Periphery' Framework to Navigate Emerging Market Governments—Qualitative Evidence from a Biotechnology Multinational

By: Prithwiraj Choudhury, James Geraghty and Tarun Khanna

We build on the emerging literature of influence-based models to study how multinational firms can navigate host governments. Our "core-periphery" framework posits that the actions that an MNC takes with actors in what we call the "periphery"—comprised of state,... View Details

Keywords: Emerging Markets; Multinational Firms and Management; Business and Government Relations; Power and Influence; Framework; Biotechnology Industry; Massachusetts; Brazil; China; Costa Rica; France; India

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May 27, 2022
Article

How 'Digital Nomad' Visas Can Boost Local Economies

By: Prithwiraj Choudhury

More and more companies are offering their employees the option to “work from anywhere,” whether in their home office, in another state, or even halfway around the globe. A growing group of remote professionals are taking the “anywhere” in work-from-anywhere to new... View Details

Keywords: Remote Work; COVID-19 Pandemic; Collaboration; Work-Life Balance; Human Resources; Collaborative Innovation and Invention

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