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      • 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
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      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
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      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
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      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
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      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
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      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
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      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
      Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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      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
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      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
      Keywords: AI and Machine Learning; Performance Effectiveness
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      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
      Keywords: Sabbatical; Personal Development and Career; Employees
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      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
      Keywords: Consumer Behavior; Decision Choices and Conditions
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      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
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      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
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      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
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      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
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      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
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      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
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      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
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      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
      Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
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      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

      By: Natalia Rigol, Benjamin N. Roth, Brian Trelstad and Amram Migdal
      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
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      Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Amram Migdal. "Prime Coalition: Estimating Climate Impact." Harvard Business School Case 824-119, October 2023.
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