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June 2024 (Revised September 2024)
Case

Driving Scale with Otto

By: Rebecca Karp, David Allen and Annelena Lobb

This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details

Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain

May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

May 2024
Supplement

HubSpot and Motion AI (B): Generative AI Opportunities

The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details

Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States

April 2024
Supplement

Recycle & Re-Match: The Future of Soccer Turfs

By: George Serafeim

April 2024 (Revised July 2024)
Case

Unleashing Human Magic at Best Buy

By: Leonard A. Schlesinger, Sunil Gupta and Amram Migdal

The case examines the transformation of Best Buy under CEO Hubert Joly's leadership from 2012. Facing significant business challenges, including competition from online and physical retailers, Joly implemented the "Renew Blue" turnaround strategy, which focused on... View Details

April 2024 (Revised November 2024)
Case

Moderna: Pioneering a People Platform to Accelerate Science Innovation

By: Tatiana Sandino, Emil Dy and Samuel Grad

Moderna was founded in 2010 to explore how messenger ribonucleic acid (mRNA) could be used to create breakthrough medicines by encoding instructions for the body to create antibodies. When Stéphane Bancel (HBS 2000) took over in 2011, he bet on the potential of this... View Details

Keywords: Disruptive Innovation; Talent and Talent Management; Selection and Staffing; AI and Machine Learning; Digital Strategy; Innovation and Management; Leadership Development; Management Practices and Processes; Management Systems; Organizational Culture; Performance Evaluation; Alignment; Employee Relationship Management; Science-Based Business; Expansion; Pharmaceutical Industry; Biotechnology Industry; United States

March 2024
Case

From 'BIG' Ideas to Sustainable Impact at ICL Group (A)

By: Linda A. Hill and Lydia Begag

In the summer of 2023, Eduard (“Eddie”) Croitoru, Vice President (VP) of ICL Group (“ICL”) Corporate Initiatives, was reflecting on ICL’s internal ideation program, the Business Innovation for Growth (BIG) Accelerator. When Raviv Zoller became the CEO of ICL in 2018,... View Details

March 7, 2024
Article

Integrating Digital Tools into Every Stage of Your Sales Strategy

By: Frank V. Cespedes and Georg Krentzel

In their growth and customer-acquisition activities, most companies now face twin challenges: understanding and responding to omni-channel buying behavior and doing that without inadvertently decreasing sales productivity. Thirty years ago, Peter Drucker noted that... View Details

Keywords: Sales Management; Digital Tools; Sales; Marketing Channels; Technology Adoption; Brands and Branding

March 2024
Article

Investigation of Divergent Thinking among Surgeons and Surgeon Trainees in Canada (IDEAS): A Mixed-methods Study

By: Alex Thabane, Tyler McKechnie, Vikram Arora, Goran Calic, Jason W Busse, Ranil Sonnadara and Mohit Bhandari

Objective: To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect... View Details

Keywords: Creativity; Cognition and Thinking; Surveys; Health Industry

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February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

February 2024
Teaching Note

Data-Driven Denim: Financial Forecasting at Levi Strauss

Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details

Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States

January 2024 (Revised June 2024)
Case

School of Rock: Tuning into Structured Empowerment (A)

By: Tatiana Sandino, Jeffrey Rayport, Samuel Grad and Stacy Straaberg

In summer 2021, School of Rock was a youth-oriented music education company with 291 franchise- and company-owned schools globally. Before CEO Rob Price’s hire in 2017, School of Rock’s nonconformist rock ‘n’ roll culture led to variability in teaching styles,... View Details

January 2024 (Revised February 2024)
Case

Data-Driven Denim: Financial Forecasting at Levi Strauss

The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details

Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States

2024
Working Paper

Lost in Transmission

By: Thomas Graeber, Shakked Noy and Christopher Roth

For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to... View Details

Keywords: Information Trnasmission; Word Of Mouth; Word-of-Mouth; Narratives; Reliability; Knowledge Sharing; Spoken Communication; Cognition and Thinking

2024
Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal

Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details

Keywords: Large Language Model; AI and Machine Learning

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

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

December 2023
Article

Self-Orienting in Human and Machine Learning

By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman

A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details

Keywords: AI and Machine Learning; Behavior; Learning

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2023
Other Article

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details

Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science

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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