Publications

July 2012 (Revised May 2013)
Case

Monocle

By: Eugene Soltes and Sara Hess

Monocle, a magazine on global affairs, culture, and business, was founded by Tyler Brûlé to counter a perceived deterioration in the quality of print publications available at the newsstand. Monocle differentiates itself from other publications through its diverse... View Details

Keywords: Media And Publishing; Monocle; Tyler Brule; Media; Journals and Magazines; Media and Broadcasting Industry; Media and Broadcasting Industry

Educators

2010
Working Paper

The Job Market for New Economists: A Market Design Perspective

By: Peter A. Coles, John Cawley, Phillip B. Levine, Muriel Niederle, Alvin E. Roth and John J. Siegfried

This paper provides an overview of the market for new Ph.D. economists. It describes the role of the American Economic Association (AEA) in the market and focuses in particular on two mechanisms adopted in recent years at the suggestion of our committee. First, job... View Details

Keywords: Cost Management; Information; Surveys; Jobs and Positions; Job Interviews; Job Search; Emerging Markets; Digital Platforms; Service Operations; Internet and the Web

17 Jun 2002
Research & Ideas

A Litmus Test for Entrepreneurs

afford to pass on any opportunity, no matter how small. They see business much like a game of PacMan—you can bag big fish only by learning to swallow small ones. The best entrepreneurs also recognize that trying out a business model on a small scale helps them find out... View Details

Keywords: by Walter Kuemmerle

06 Dec 2021
News

Embracing Digital Transformation

industries throughout the world, and will also be key to the future of the School,” Dean Srikant Datar notes. HBS is meeting the moment with its own digital transformation by implementing a strategy designed to enhance teaching and... View Details

31 Jan 2024
Blog Post

Career Advice from the Guests of the HBS Climate Rising Podcast

outside of our direct industry to address it. Paul McDonald, Senior Director, Opower Product Strategy & Marketing at Oracle (How OPower Uses Behavioral Science & AI to Reduce Energy Demand): “There's nothing that quite replaces... View Details

March 27, 2025
Article

How One Company Used AI to Broaden Its Customer Base

By: Sunil Gupta and Frank V. Cespedes

The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details

Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit

2024
Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand

Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details

Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication

SSRN

October 1, 2021
Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio

Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details

Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods

2025
Working Paper

Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno

Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online... View Details

Keywords: Algorithms; E-commerce; Sales; Digital Marketing; Internet and the Web; Customer Satisfaction

SSRN

2023
Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju

As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods

March 2021
Supplement

Applied: Using Behavioral Science to Debias Hiring (B)

By: Ashley Whillans and Jeff Polzer

At the end of 2018, Applied faced questions of stakeholder management and scale. Glazebrook wanted clients to get rid of CVs altogether. To do this, they would have to help hiring managers and recruiters easily build task-based assessments of the skills that their... View Details

Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Prejudice and Bias; Information Technology; Competency and Skills

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

November–December 2018
Article

Online Network Revenue Management Using Thompson Sampling

By: Kris J. Ferreira, David Simchi-Levi and He Wang

We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details

Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods

Find at Harvard