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- Faculty Publications (1,423)
- December 2023
- Case
TikTok: The Algorithm Will See You Now
By: Shikhar Ghosh and Shweta Bagai
In a world where attention is a scarce commodity, this case explores the meteoric rise of TikTok—an app that transformed from a niche platform for teens into the most visited domain by 2021—surpassing even Google. Its algorithm was a sophisticated mechanism for... View Details
Keywords: Social Media; Applications and Software; Disruptive Innovation; Business and Government Relations; International Relations; Cybersecurity; Culture; Technology Industry; China; United States; India
Ghosh, Shikhar, and Shweta Bagai. "TikTok: The Algorithm Will See You Now." Harvard Business School Case 824-125, December 2023.
- December 15, 2023
- Article
What Every Leader Needs to Know About Carbon Credits
By: Varsha Ramesh Walsh and Michael W. Toffel
Many companies have begun to look into credits to offset their emissions as a way to support their net zero goals as their target years get closer and closer. As it stands, the carbon credit market is too small to bear the brunt of reducing companies’ impacts on the... View Details
Keywords: Carbon Credits; Climate; Accounting; Carbon Offsetting; Carbon Abatement; Carbon Emissions; Carbon Footprint; Climate Change; Environmental Accounting; Environmental Regulation
Ramesh Walsh, Varsha, and Michael W. Toffel. "What Every Leader Needs to Know About Carbon Credits." Harvard Business Review Digital Articles (December 15, 2023).
- December 2023
- Case
Food & Life Companies
By: Forest L. Reinhardt and Akiko Saito
Founded in 1984 in Japan, Food & Life Companies Ltd. (F&LC) operated Sushiro, the largest conveyor belt sushi restaurant chain in Japan, and other types of restaurants that offered sushi and fish cuisine. F&LC was committed to offering high-quality sushi at an... View Details
Keywords: Growth and Development Strategy; Market Entry and Exit; Expansion; Food and Beverage Industry; Japan; Asia; United States
Reinhardt, Forest L., and Akiko Saito. "Food & Life Companies." Harvard Business School Case 724-015, December 2023.
- December 2023 (Revised August 2024)
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
- December 18, 2023
- Article
Are Everywhere Stores the New Face of Retail?
By: David R. Bell, Santiago Gallino and Antonio Moreno
Historically, customer engagement and product fulfillment occurred in the same place — a traditional retail store. But today, retailers are beginning to explore how they can create opportunities for customers to engage with products in native environments. A related... View Details
Keywords: Customer Focus and Relationships; Consumer Behavior; Distribution; Logistics; Retail Industry
Bell, David R., Santiago Gallino, and Antonio Moreno. "Are Everywhere Stores the New Face of Retail?" MIT Sloan Management Review (website) (December 18, 2023).
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
- December 2023
- Article
Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting
By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
Recover, Explore, Practice: The Transformative Potential of Sabbaticals
By: Kira Schabram, Matt Bloom and DJ DiDonna
Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
Schabram, Kira, Matt Bloom, and DJ DiDonna. "Recover, Explore, Practice: The Transformative Potential of Sabbaticals." Academy of Management Discoveries 9, no. 4 (December 2023): 441–468.
- December 2023
- Article
Save More Today or Tomorrow: The Role of Urgency in Precommitment Design
By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
Reiff, Joseph, Hengchen Dai, John Beshears, Katherine L. Milkman, and Shlomo Benartzi. "Save More Today or Tomorrow: The Role of Urgency in Precommitment Design." Journal of Marketing Research (JMR) 60, no. 6 (December 2023): 1095–1113.
- 2024
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- November 2023 (Revised April 2024)
- Case
BiomX: Bringing Phage Back to the Stage
By: Paul A. Gompers, Elie Ofek, Orna Dan and Emilie Billaud
In the spring of 2023, and following the favorable results of a trial involving its phage cocktail for treating lung infections among cystic fibrosis (CF) patients, the leadership of BiomX had several critical issues to wrestle with. First, given its precarious... View Details
Keywords: Working Capital; Financing and Loans; Health Testing and Trials; Product Development; Research and Development; Science-Based Business; Commercialization; Biotechnology Industry; Pharmaceutical Industry
Gompers, Paul A., Elie Ofek, Orna Dan, and Emilie Billaud. "BiomX: Bringing Phage Back to the Stage." Harvard Business School Case 524-051, November 2023. (Revised April 2024.)
- November 2023 (Revised March 2024)
- Technical Note
Customer Data Privacy
By: Eva Ascarza and Ta-Wei Huang
This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory... View Details
Keywords: Customer Relationship Management; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk and Uncertainty; Reputation; Trust; Information Management; Retail Industry; Technology Industry; Financial Services Industry; Telecommunications Industry; Europe; United States
Ascarza, Eva, and Ta-Wei Huang. "Customer Data Privacy." Harvard Business School Technical Note 524-005, November 2023. (Revised March 2024.)
- November 2023 (Revised January 2024)
- Case
Bridgit: Persevere or Pivot?
By: Reza Satchu and Patrick Sanguineti
In late 2012, Mallorie Brodie and Lauren Lake, two young women in their final year of college, founded Bridgit, a technology startup that developed solutions to simplify vital but laborious processes within the construction industry. In the Fall of 2013, after months... View Details
Keywords: Entrepreneur; Founder; Co-founders; Women Executives; Pivot; Startup; Business Model; Business Startups; Entrepreneurship; Applications and Software; Product Launch; Research and Development; Competition; Construction Industry; Technology Industry; United States; Canada
Satchu, Reza, and Patrick Sanguineti. "Bridgit: Persevere or Pivot?" Harvard Business School Case 824-118, November 2023. (Revised January 2024.)
- November 2023
- Article
Brokerage House Initial Public Offerings and Analyst Forecast Quality
By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a... View Details
Keywords: IPOs; Research Analysts; "Brokerage Industry; Initial Public Offering; Employees; Behavior; Outcome or Result
Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science 69, no. 11 (November 2023): 7079–7094.
- November 2023 (Revised April 2024)
- Case
Celsius Network Inc.: Fear, Uncertainty, and Doubt in the Brave New World of Crypto Bankruptcy
By: Stuart C. Gilson and Sarah L. Abbott
In July 2022, Celsius Network filed for Chapter 11 bankruptcy. CEO Alex Mashinsky acknowledged that Celsius had grown its assets “faster than the Company was prepared to deploy [them]” and as a result had made “certain poor asset deployment decisions.” Two months after... View Details
Keywords: Cryptocurrency; Chapter 11; Restructuring; Insolvency and Bankruptcy; Asset Management; Acquisition; Borrowing and Debt; Financial Services Industry; United States
Gilson, Stuart C., and Sarah L. Abbott. "Celsius Network Inc.: Fear, Uncertainty, and Doubt in the Brave New World of Crypto Bankruptcy." Harvard Business School Case 224-044, November 2023. (Revised April 2024.)
- November–December 2023
- Article
Keep Your AI Projects on Track
By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
- October 2023
- Case
Prime Coalition: Estimating Climate Impact
A case on CRANE, a tool to help investors and green technology companies estimate the future climate impact of new technologies and products, called emissions reduction potential (ERP). The case includes material on CRANE’s methodology for estimating future carbon... View Details
Keywords: Carbon Emissions; Environmental Accounting; Analysis; Climate Change; Green Technology; Innovation and Invention; Measurement and Metrics; Philanthropy and Charitable Giving; Risk and Uncertainty; Nonprofit Organizations; Social Enterprise
Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Amram Migdal. "Prime Coalition: Estimating Climate Impact." Harvard Business School Case 824-119, October 2023.