Publications
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- November 15, 2022
- Article
Using Simulations to Upskill Employees
By: Frank V. Cespedes, Trond Aas, Alex Hunt and Huw Newton-Hill
Reskilling employees tops the agenda in many organizations, according to a LinkedIn report. Korn Ferry estimates an 85-million person talent shortage by 2030, and McKinsey likens the challenge to the shift from agricultural to manufacturing work that occurred in the...
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- November 2022
- Case
Hugging Face: Serving AI on a Platform
By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which...
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- November–December 2022
- Article
Can AI Really Help You Sell?
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products...
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- 2022
- Working Paper
Shared Models in Networks, Organizations, and Groups
By: Joshua Schwartzstein and Adi Sunderam
Why did the market rise yesterday? What are the implications of the latest school shooting? Why did a particular employee get promoted? To answer such questions, we often exchange models, stories, narratives, and interpretations with others. This paper provides a...
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- 2022
- Working Paper
The Evolution of ESG Reports and the Role of Voluntary Standards
By: Ethan Rouen, Kunal Sachdeva and Aaron Yoon
We examine the evolution of ESG reports of S&P 500 firms from 2010 to 2021. The
percentage of firms releasing these voluntary disclosures increased from 35% to 86%
during this period, although the length of these documents experienced more modest
growth. Using a...
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- 2022
- Working Paper
When Less Is More: Using Short-term Signals to Overcome Systematic Bias in Long-run Targeting
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response. Doing so requires firms to identify differences in customer sensitivity, which they often obtain using uplift modeling (i.e., heterogeneous treatment effect...
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- 2022
- Working Paper
Communicating Corporate Culture in Labor Markets: Evidence from Job Postings
A company’s culture represents one of the most important factors that job seekers consider. In this study, we examine how firms craft their job postings to convey their cultures and whether doing so helps attract employees. We utilize state-of-the art machine learning...
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- October 2022
- Article
A Structural Model of Organizational Buying for Business-to-Business Markets: Innovation Adoption with Share-of-Wallet Contracts
By: Navid Mojir and K. Sudhir
The paper develops the first structural model of organizational buying to study innovation diffusion in a B2B market. Our model is particularly applicable for routinized exchange relationships, whereby centralized buyers periodically evaluate and choose contracts,...
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- October 2022
- Article
It’s Not Just the Prices: Time-Driven Activity-Based Costing for Initiation of Veno-Venous Extracorporeal Membrane Oxygenation at Three International Sites—A Case Review
By: Michael Nurok, Vin Pellegrino, Marc Pineton de Chambrun, Jonathan Warsh, Meredith Young, Erik Dong, Neil Parrish, Syed Shehab, Alain Combes and Robert S. Kaplan
The United States spends more for intensive care units (ICUs) than do other high-income countries. We used time-driven activity-based costing (TDABC) to analyze ICU costs for initiation of extracorporeal membrane oxygenation (ECMO) for respiratory failure to estimate...
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- 2022
- White Paper
The American Opportunity Index: A Corporate Scorecard of Worker Advancement
By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do...
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- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate...
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Keywords:
Competition Policy;
Regulation;
Algorithmic Pricing;
Dynamic Pricing;
Economics;
Law And Economics;
Law And Regulation;
Consumer Protection;
Antitrust Law;
Industrial Organization;
Antitrust Issues And Policies;
Technological Change: Choices And Consequences;
Competition;
Policy;
Price;
Governing Rules, Regulations, and Reforms;
Microeconomics;
Duopoly and Oligopoly;
Law
- September 2022
- Article
Experimentation and Startup Performance: Evidence from A/B Testing
By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
Recent scholarship has argued that experimentation should be the organizing principle for entrepreneurial strategy. Experimentation leads to organizational learning, which drives improvements in firm performance. We investigate this proposition by exploiting the...
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- September 2022
- Article
Find and Replace: R&D Investment Following the Erosion of Existing Products
By: Joshua L. Krieger, Xuelin Li and Richard T. Thakor
How do innovative firms react when existing products experience negative shocks? We explore this question with detailed project-level data from drug development firms. Using FDA Public Health Advisories as idiosyncratic negative shocks to approved drugs, we first...
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- September 2022
- Article
Human Versus Machine: A Comparison of Robo-Analyst and Traditional Research Analyst Investment Recommendations
By: Braiden Coleman, Kenneth J. Merkley and Joseph Pacelli
We provide the first comprehensive analysis of the properties of investment recommendations generated by “Robo-Analysts,” which are human analyst-assisted computer programs conducting automated research analysis. Our results indicate that Robo-Analyst recommendations...
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- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the...
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Keywords:
Pricing;
Pricing Algorithms;
Dynamic Pricing;
Ecommerce;
Pricing Strategy;
Pricing And Revenue Management;
Apparel;
Singapore;
Startup;
Demand Estimation;
Data Analysis;
Data Analytics;
Exercise;
Price;
Internet and the Web;
Apparel and Accessories Industry;
Retail Industry;
Fashion Industry;
Singapore
- August 2022
- Case
Rocket Learning: Evidence in Action
By: Brian Trelstad, Tomas Rosales and Malini Sen
Founders of Rocket Learning, an India-based nonprofit which focused on early childhood education (ECE), received an invitation from MIT’s Abdul Latif Jameel Poverty Action Lab (JPAL), a development research organization, to test its intervention for ECE with a...
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- August 2022 (Revised November 2022)
- Case
Altos Ventures (A)
By: Jo Tango and Alys Ferragamo
In December 2012, Altos Ventures General Partners Han Kim, Anthony Lee, and Ho Nam met to discuss the future of the firm. Altos had already adjusted its strategy multiple times. It began as a U.S.-focused venture capital investor whose first two funds were backed by a...
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- August, 2022
- Article
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S.
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of...
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- 2022
- Working Paper
Do Job Seekers Value Diversity Information? Evidence from a Field Experiment and Human Capital Disclosures
By: Jung Ho Choi, Joseph Pacelli, Kristina M. Rennekamp and Sorabh Tomar
We examine how information about the diversity of a potential employer’s workforce affects individuals’ job-seeking behavior. We embed a field experiment in job recommendation emails sent from a leading career advice agency in the U.S. The experimental treatment...
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- 2022
- Working Paper
Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications
By: Julian De Freitas, Ahmet Kaan Uğuralp and Zeliha Uğuralp
Increasingly, some products do not merely automate some piece of our lives but act as
autonomous agents. When these technologies are not yet perfected, what are their risks? Here
we explore the case of AI companion apps. Although these apps are designed...
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