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All HBS Web
(5,979)
- Faculty Publications (1,393)
- 2023
- Working Paper
Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections
By: Rafael Di Tella, Randy Kotti, Caroline Le Pennec and Vincent Pons
A key tenet of representative democracy is that politicians' discourse and policies should follow voters' preferences. In the median voter theorem, this outcome emerges as candidates strategically adjust their platform to get closer to their opponent. Despite its...
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Di Tella, Rafael, Randy Kotti, Caroline Le Pennec, and Vincent Pons. "Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections." NBER Working Paper Series, No. 31503, July 2023.
- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still...
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Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
- June 2023
- Case
Albert Einstein: Changing the World
By: Robert Simons and Shirley Sun
This case traces the rise of Albert Einstein from a small town in Germany to a towering intellectual leader who revolutionized the field of physics. The case describes his early education and his penchant for individual thinking and non-conformity. A committed...
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Keywords:
Science;
Research;
Personal Characteristics;
Mission and Purpose;
Success;
Work-Life Balance;
Higher Education;
Power and Influence
Simons, Robert, and Shirley Sun. "Albert Einstein: Changing the World." Harvard Business School Case 123-025, June 2023.
- June 30, 2023
- Article
How to Save a Stumbling Startup
By: Ranjay Gulati
Keywords:
Business Startups;
Small Business;
Outcome or Result;
Growth and Development Strategy;
Business Exit or Shutdown
Gulati, Ranjay. "How to Save a Stumbling Startup." Inc.com (June 30, 2023).
- 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...
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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...
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Wing, Christina R. "Successful Governance for the Family Enterprise." Harvard Business School Exercise 623-083, June 2023.
- 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...
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Keywords:
Performance Evaluation;
Research and Development;
Analytics and Data Science;
Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 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...
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Keywords:
Geopolitical Units;
Government and Politics;
Government Legislation;
Expansion;
Market Entry and Exit;
Semiconductor Industry;
Taiwan;
United States
Kirby, William C., and Noah B. Truwit. "Chipmaking in the Desert: Taiwan Semiconductor Manufacturing Company's Global Expansion." Harvard Business School Case 323-101, June 2023. (Revised January 2024.)
- May 2023
- Teaching Note
Tesla’s Uncertain Fate as EV Race Accelerates
By: David Collis
Teaching Note for HBS Case No. 722-368. The case describes the strategic position of Tesla in 2021. While the firm has been successful in driving adoption of electric vehicles (EVs) globally and has a huge market share in the segment, it faces an impending tsunami of...
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- 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...
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- 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...
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- 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...
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Keywords:
Subjectivity;
Tournament-based Incentives;
Rewards;
Penalties;
Expectancy Theory;
Employees;
Compensation and Benefits;
Management;
Decisions;
Performance;
Measurement and Metrics
Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Effects of Subjective Allocations of Rewards and Penalties." Management Science 69, no. 5 (May 2023): 3121–3139.
- 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...
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- May–June 2023
- Article
Which Firms Gain from Digital Advertising? Evidence from a Field Experiment
By: Weijia Dai, Hyunjin Kim and Michael Luca
Measuring the returns of advertising opportunities continues to be a challenge for many
businesses. We design and run a field experiment in collaboration with Yelp across 18,294
firms in the restaurant industry to understand which types of businesses gain more from...
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Dai, Weijia, Hyunjin Kim, and Michael Luca. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment." Marketing Science 42, no. 3 (May–June 2023): 429–439.
- 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,...
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Tango, Jo, and Alys Ferragamo. "Venture Capital Firms: What Drives Success?" Harvard Business School Technical Note 823-115, April 2023.
- 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...
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Adelson, Caroline, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price, and Marco Iansiti. "Firm Purpose and Problem Wickedness: A Review of the Academic Literature." Harvard Business School Working Paper, No. 23-063, April 2023.
- 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...
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Keywords:
Forecasting and Prediction;
AI and Machine Learning;
Consumer Behavior;
Technology Adoption;
Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 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...
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Rai, Aneesh, Marissa A. Sharif, Edward H. Chang, Katherine L. Milkman, and Angela L. Duckworth. "A Field Experiment on Subgoal Framing to Boost Volunteering: The Trade-off Between Goal Granularity and Flexibility." Journal of Applied Psychology 108, no. 4 (April 2023): 621–634.
- 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...
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Keywords:
Causal Inference;
Homophily;
Social Networks;
Peer Influence;
Social and Collaborative Networks;
Power and Influence;
Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- 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...
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.