Publications

2024
Working Paper

Charting (and Updating) the Path: A Bayesian Perspective on Entrepreneurial Learning

By: Joshua L. Krieger

This chapter explores two distinct modes of entrepreneurial learning: assessing venture viability and choosing between alternative development paths. It introduces a framework for decomposing venture viability into technological feasibility, commercial potential and... View Details

Keywords: Decision Making; Entrepreneurship; Growth and Development Strategy; Learning

April 2023
Article

On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel

As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details

Keywords: Recourse; Privacy Threats; AI and Machine Learning; Information

2023
Working Paper

Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé

By: Stefan Dimitiadis and Rembrand Koning

Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer... View Details

Keywords: Local Range; Knowledge Sharing; Performance Productivity; Togo

SSRN

2022
Working Paper

Social Protection and Social Distancing During the Pandemic: Mobile Money Transfers in Ghana

By: Dean Karlan, Matt Lowe, Robert Osei, Isaac Osei-Akoto, Benjamin N. Roth and Christopher Udry

We study the impact of mobile money transfers to a representative sample of low-income Ghanaians during the COVID-19 pandemic. The announcement of the upcoming transfers affects neither consumption, well-being, nor social distancing. Once disbursed,... View Details

Keywords: Social Distancing; Social Welfare; Economic Relief; Health Pandemics; Poverty

2022
Article

Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju

As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details

Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

2021
Chapter

International Business History and the Strategy of Multinational Enterprises: How History Matters

By: Geoffrey Jones and Teresa da Silva Lopes

This chapter provides an overview of the evolution of international business over the long-run as well as the strategies of MNEs. It highlights how strategies became more complex over time with MNEs moving from being coordinators of resources and managers of... View Details

Keywords: Multinational; International Business; Internalization; Globalization; Theory; Multinational Firms and Management; Business History; Africa; Asia; Europe; Latin America; Middle East; North and Central America

Find at Harvard

Article

Seeker Beware: The Interpersonal Costs of Ignoring Advice

By: Hayley Blunden, Jennifer M. Logg, Alison Wood Brooks, Leslie John and Francesca Gino

Prior advice research has focused on why people rely on (or ignore) advice and its impact on judgment accuracy. We expand the consideration of advice-seeking outcomes by investigating the interpersonal consequences of advice seekers’ decisions. Across nine studies, we... View Details

Keywords: Advice; Advice Seeking; Expertise; Impression Management; Wisdom Of Crowds; Interpersonal Communication; Relationships; Behavior; Experience and Expertise; Perception; Judgments; Outcome or Result

Find at Harvard

September 2018
Supplement

Advent International: Kroton Investment

By: Victoria Ivashina, Priscilla Zogbi and Ruth Kostas

Keywords: Private Equity; Acquisition; IPO; Valuation; Education; Distance Learning; Turnaround; Growth; Exit; PE; Buyer; Middle-class; Low Income; K-12; Entrepreneur; Family Business; University; College; Consolidation; Fragmentation; Penetration; Value; Shares; Control; Negotiation; Equity; Transaction; Board; Majority; Minority; Post-secondary; Leverage; Campus; Deal; Shareholder; Tag Along

September 2018
Case

Advent International: Kroton Investment

By: Victoria Ivashina, Ruth Kostas and Priscilla Zogbi

Keywords: Private Equity; Acquisition; IPO; Valuation; Education; Distance Learning; Turnaround; Growth; Exit; PE; Buyer; Middle-class; Low Income; K-12; Entrepreneur; Family Business; University; College; Consolidation; Fragmentation; Penetration; Value; Shares; Control; Negotiation; Equity; Transaction; Board; Majority; Minority; Post-secondary; Leverage; Campus; Deal; Shareholder; Tag Along; Brazil; Latin America

Educators

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

Educators

July 1989
Article

Immunizing Children Against the Negative Effects of Reward

By: B. A. Hennessey, T. M. Amabile and M. Martinage

Two studies were conducted to examine the effect of intrinsic motivation training on children's subsequent motivational orientation and creativity in an expected reward situation. Past research has demonstrated the overjustification effect: Children who work on an... View Details

Keywords: Creativity; Motivation and Incentives; Training; Early Childhood Education; Learning; Teaching