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- May–June 2023
- Article
Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut
By: Fabrizio Fantini and Das Narayandas
Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are...
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Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- May 2023
- Article
How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates
By: Caroline Le Pennec and Vincent Pons
We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the...
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Keywords:
Political Debates;
TV Debates;
Voting;
Political Elections;
Decision Choices and Conditions
Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
- 2023
- Working Paper
Using GPT for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have quickly become popular 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 who...
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Keywords:
Large Language Model;
Research;
AI and Machine Learning;
Analysis;
Customers;
Consumer Behavior;
Technology Industry;
Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023.
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure...
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Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning...
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Keywords:
Supply Chain Management;
Production;
Risk and Uncertainty;
Analytics and Data Science;
Food and Beverage Industry
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
- March 2023
- Supplement
Allianz Türkiye (B): Adapting to a Changing World
By: John D. Macomber and Fares Khrais
- March 2023
- Supplement
Allianz Türkiye (C): Managing the 2017 Hail Storm
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe...
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- March 2023 (Revised May 2023)
- Case
Metaverse Wars
By: Andy Wu, David B. Yoffie and Matt Higgins
In 2023, the term metaverse — a combination of the words “meta” and “universe” — had become a catch-all for a diverse set of expectations about online virtual worlds, “Web3” integration, and the future of the internet. To some, the metaverse conjured images of a...
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Keywords:
Metaverse;
Technology;
Virtual Reality;
Facebook;
Social Media;
Technological Innovation;
Internet and the Web;
Technology Adoption
Wu, Andy, David B. Yoffie, and Matt Higgins. "Metaverse Wars." Harvard Business School Case 723-431, March 2023. (Revised May 2023.)
- March 2023
- Case
Layoffs in the Tech Industry: 2022-2023
By: Sandra J. Sucher and Marilyn Morgan Westner
A wave of mass layoffs swept through the tech industry, dominating news from 2022 through spring 2023. Empirical research and longitudinal studies demonstrate that layoffs rarely provide a viable long-term solution to financial problems. Why did so many tech companies...
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- March, 2023
- Article
Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes
By: Maria P. Roche
The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a...
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Keywords:
Entrepreneurship;
Higher Education;
Training;
Personal Development and Career;
Knowledge Dissemination
Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
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Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- 2022
- Working Paper
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment...
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Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Harvard Business School Working Paper, No. 23-048, January 2022.
- 2023
- Working Paper
Unselfish Alibis Increase Choices of Selfish Autonomous Vehicles
Human drivers routinely make implicit tradeoffs between their selfish interests and the safety of passengers, as when they perform a rolling stop in order to reach their destination faster. Here I explore whether they are comfortable with autonomous vehicles (AVs) that...
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De Freitas, Julian. "Unselfish Alibis Increase Choices of Selfish Autonomous Vehicles." Harvard Business School Working Paper, No. 23-043, February 2023.
- December 2022
- Article
The Rise of People Analytics and the Future of Organizational Research
By: Jeff Polzer
Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,...
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Keywords:
Organizational Change and Adaptation;
Analytics and Data Science;
Technology Adoption;
Employees
Polzer, Jeff. "The Rise of People Analytics and the Future of Organizational Research." Art. 100181. Research in Organizational Behavior 42 (December 2022). (Supplement.)
- January 28, 2023
- Article
Will We Blame Self-Driving Cars? A New Study Finds That People Are Likely to Hold Autonomous Vehicles Liable for Accidents Even When They’re Not at Fault
De Freitas, Julian. "Will We Blame Self-Driving Cars? A New Study Finds That People Are Likely to Hold Autonomous Vehicles Liable for Accidents Even When They’re Not at Fault." Wall Street Journal (January 28, 2023), C5.
- January 2023 (Revised May 2023)
- Case
Elon Musk at Tesla
By: George Serafeim and Amram Migdal
This case gives an overview of Elon Musk’s career arc through the lens of the 2003 founding of Tesla and its growth through 2022. Background information is included on Tesla’s unique strategic decisions, its operational and reputational struggles and successes, and the...
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Keywords:
Business Ventures;
Decision Making;
Design;
Energy;
Renewable Energy;
Engineering;
Entrepreneurship;
Environmental Management;
Climate Change;
Environmental Sustainability;
Green Technology;
Values and Beliefs;
Governance;
Innovation and Invention;
Innovation Leadership;
Innovation Strategy;
Leadership;
Leadership Style;
Management;
Goals and Objectives;
Organizations;
Mission and Purpose;
Society;
Social Issues;
Strategy;
Transportation;
Value;
Auto Industry;
Transportation Industry
- January 2023
- Case
Crow Holdings Development: Mass Timber Construction
By: John D. Macomber, Robert Hernandez and Kyle MertensMeyer
Jim McCaffery and Cody Armbrister of Crow Holdings Development evaluate the pros and cons of committing to mass timber construction instead of conventional concrete or steel for a new 260,000 SF multi-story office building in Texas. Benefits include substantially...
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Keywords:
Real Estate Development;
Architecture;
Air Quality;
Health & Wellness;
Office Property;
Sustainability;
Carbon Abatement;
Natural Environment;
Environmental Accounting;
Green Buildings;
Design;
Construction;
Cost vs Benefits;
Environmental Sustainability;
Construction Industry;
Real Estate Industry;
Texas
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no...
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Keywords:
Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a...
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Keywords:
Causal Inference;
Heterogeneous Treatment Effects;
Precision Medicine;
Uplift Modeling;
Analytics and Data Science;
AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.