Publications
Publications
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(5,980)
- Faculty Publications (1,375)
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- June 2023
- Exercise
Successful Governance for the Family Enterprise
This exercise examines three different family enterprise scenarios to open a conversation on what makes them successful. We look at how there is no strategy that fits all for family businesses, but there are strategies that can influence both the business and the... View Details
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- June 2023 (Revised January 2024)
- Case
Chipmaking in the Desert: Taiwan Semiconductor Manufacturing Company's Global Expansion
By: William C. Kirby and Noah B. Truwit
On December 6, 2022, in Phoenix, Arizona, Taiwan Semiconductor Manufacturing Company (TSMC) Executive Chairman Mark Liu outlined the company’s ambitious plans to invest $40 billion to build semiconductor manufacturing plants in Phoenix. The event also celebrated the... View Details
- May 2023
- Teaching Note
Away: Scaling a DTC Travel Brand
By: Joseph B. Fuller and Jill Avery
Teaching Note for HBS Case No. 520-051. Away, a direct-to-consumer, digital native e-commerce seller of travel luggage, is debating how to invest its latest round of venture funding. How quickly could and should Away scale and what were the most promising growth... View Details
- May 2023 (Revised May 2023)
- Case
Stay or Go? Sarah Reynolds Kensington Partners
By: David G. Fubini, Amr Seifeldin and Patrick Sanguineti
Sarah Reynolds, a relatively new Partner at the global Kensington Partners strategy consulting firm, has headed the firm's Telecommunications Group for a few years. Thanks to her stellar track record with clients, she has brought the group a range of accolades and... View Details
- May 2023
- Article
Incentive Effects of Subjective Allocations of Rewards and Penalties
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings... View Details
- 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
- April 2023
- Technical Note
Venture Capital Firms: What Drives Success?
By: Jo Tango and Alys Ferragamo
With the rapid growth of venture capital (“VC”) in recent decades, we might wonder: who succeeds at VC and why? This is a complicated question, as many factors come into play. VC partnerships are comprised of individual investors with varying backgrounds, experiences,... View Details
- 2023
- Working Paper
Firm Purpose and Problem Wickedness: A Review of the Academic Literature
By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
Our understanding of the firm’s role in society has evolved greatly over the past 70 years, with more recent years seeing a sharp rise in interest for how firms can contribute more than profits to society – that is, have a purpose beyond profits. Businesses engaged in... View Details
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
- April 2023
- Article
A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility
By: Aneesh Rai, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman and Angela L. Duckworth
Research suggests that breaking overarching goals into more granular subgoals is beneficial for goal progress. However, making goals more granular often involves reducing the flexibility provided to complete them, and recent work shows that flexibility can also be... View Details
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
- April 2023
- Article
Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach
By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
- March 2023
- Background Note
A Primer on OKRs
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details
Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency
- March 2023 (Revised January 2024)
- Case
Deepa Bachu (A): Design Thinking at Pensaar Design
By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal
In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details
Keywords: Buildings and Facilities; Design; Education; Training; Working Conditions; Business or Company Management; Production; Business Processes; Corporate Social Responsibility and Impact; Outcome or Result; Performance Improvement; Programs; Business and Stakeholder Relations; Groups and Teams; Labor and Management Relations; Rank and Position; Safety; Attitudes; Behavior; Motivation and Incentives; Trust; Well-being; Consulting Industry; Pulp and Paper Industry; Manufacturing Industry; India