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- 2025
- Working Paper
Unwinding Loan Prospecting Pressure Through Renegotiation: The Role of Loan Officer Changes in Debt Contracting
By: Jung Koo Kang, Regina Wittenberg Moerman and Jessie Cheong
We examine the impact of loan officer changes on debt contract design. Loan officers play a critical role in initiating and maintaining lending relationships but also face pressure to originate more loans, incentivizing them to offer loan terms more favorable than... View Details
- January 2025
- Module Note
Understanding and Addressing Gender Gaps
This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
- 2024
- Article
Supply and Demand and the Term Structure of Interest Rates
By: Robin Greenwood, Samuel Hanson and Dimitri Vayanos
We survey the growing literature emphasizing the role that supply-and-demand forces play in shaping the term structure of interest rates. Our starting point is the Vayanos and Vila (2009, 2021) model of the term structure of default-free bond yields, which we present... View Details
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
- August 2024
- Article
How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?
By: Leemore S. Dafny, Kate Ho and Edward Kong
Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details
- August 2024
- Module Note
Mastering the Complete Strategy Landscape
By: David J. Collis
As CEO, whether of a large established firm or an entrepreneurial startup, you have the responsibility to craft a strategy capable of creating, capturing, and realizing value. And yet, too often, the holistic perspective required to integrate those discrete tasks gets... View Details
- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
- September–October 2023
- Article
Interpretable Matrix Completion: A Discrete Optimization Approach
By: Dimitris Bertsimas and Michael Lingzhi Li
We consider the problem of matrix completion on an n × m matrix. We introduce the problem of interpretable matrix completion that aims to provide meaningful insights for the low-rank matrix using side information. We show that the problem can be... View Details
Keywords: Mathematical Methods
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
- 2023
- Working Paper
The Complexity of Economic Decisions
By: Xavier Gabaix and Thomas Graeber
We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
- September 6, 2022
- Article
Creating a Platform for Costless Personalization in Clothing
By: Shane Greenstein
This study analyzes the role of co-invention in the creation of a platform for print-on-demand-clothing, or PODC. Co-invention is the invention of a new business process to complement new technology, and turn it into a valuable commercial service. PODC copies a design... View Details
- August 2022
- Teaching Plan
Janet Ames (A), (B), (C), (D)
By: Brian Trelstad
Teaching Plan for HBS Case Nos. 320-076, 320-077, 320-078, and 322-051. The series of Janet Ames cases follow a fictional alumna of Harvard Business School into her consulting career in Boston. Over the series of cases, Ames is first offered the opportunity to join... View Details
Keywords: Philanthropy; Board; Non-profit Management; Career Changes And Transitions; Evaluation; Personal Development and Career; Opportunities; Decision Choices and Conditions; Philanthropy and Charitable Giving; Governing and Advisory Boards; Social Enterprise; Social Entrepreneurship; Nonprofit Organizations; Management; United States
- May 2022
- Case
Executive Decision-Making at Zola
By: Amy C. Edmondson and Michael Roberto
In April 2020, Rachel Jarrett, President and COO of wedding technology company Zola, called a meeting with the organization’s key decision-makers. The company had previously launched three business expansions: a vendor marketplace, a wedding apparel division, and a... View Details
- Article
Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas
By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200... View Details
- March 2021 (Revised August 2022)
- Case
Seeding and Selling Asana
By: Jeffrey F. Rayport, Susie Ma and Amram Migdal
In December 2019, Oliver Jay, Asana’s Chief Revenue Officer (CRO), was reconsidering his go-to-market (GTM) strategy. Asana was cloud-based work management software that enabled users to break up projects into discrete tasks that could be assigned, scheduled, and... View Details
Keywords: SaaS; Customer Journey; Business Model; Business Organization; Change Management; Growth and Development Strategy; Growth Management; Marketing Channels; Marketing Strategy; Product Marketing; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Digital Platforms; Internet and the Web; Technology Industry; United States
- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work... View Details
- 2020
- Working Paper
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
- Article
Oracle Efficient Private Non-Convex Optimization
By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
- April 2020
- Article
Field Comparisons of Incentive-Compatible Preference Elicitation Techniques
By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for... View Details