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- All HBS Web
(19,041)
- Faculty Publications (2,438)
- January 2024 (Revised May 2024)
- Case
Uncle Nearest: Creating a Legacy
By: Hise Gibson, Archie L. Jones, Nicole Gilmore and Ai-Ling Jamila Malone
Fawn Weaver, as a Black woman and industry outsider in a capital-intensive, highly regulated, competitive and male-dominated spirits industry, successfully overcame numerous obstacles to launch a premium American whiskey brand, Uncle Nearest in 2017, which became the... View Details
Keywords: Advertising; Business Startups; Customer Focus and Relationships; Decisions; Forecasting and Prediction; Age; Ethnicity; Gender; Entrepreneurship; Working Capital; Innovation Leadership; Innovation Strategy; Intellectual Property; Trademarks; Leadership Style; Growth and Development; Growth and Development Strategy; Product Marketing; Product Launch; Marketing Strategy; Mission and Purpose; Organizational Culture; Private Ownership; Performance Effectiveness; Strategic Planning; Problems and Challenges; Prejudice and Bias; Social Issues; Competition; Competitive Strategy; Expansion; Entrepreneurial Finance; Food and Beverage Industry; Tourism Industry; United States; Tennessee; France
Gibson, Hise, Archie L. Jones, Nicole Gilmore, and Ai-Ling Jamila Malone. "Uncle Nearest: Creating a Legacy." Harvard Business School Case 824-047, January 2024. (Revised May 2024.)
- 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
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- January 2024
- Article
Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics
By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,... View Details
Cao, Rui, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector, and Tianzhong Yang. "Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics." Bioinformatics 40, no. 1 (January 2024).
- January–February 2024
- Article
The Challenge of Maintaining Passion for Work over Time: A Daily Perspective on Passion and Emotional Exhaustion
By: Joy Bredehorst, Kai Krautter, Jirs Meuris and Jon M. Jachimowicz
Passion for work is highly coveted, but many employees report struggling to maintain their passion over time. In the current research, we explain the challenge of pursuing passion by conceptualizing passion as an attribute with temporal variation. Viewed through a... View Details
Bredehorst, Joy, Kai Krautter, Jirs Meuris, and Jon M. Jachimowicz. "The Challenge of Maintaining Passion for Work over Time: A Daily Perspective on Passion and Emotional Exhaustion." Organization Science 35, no. 1 (January–February 2024): 364–386.
- December 2023 (Revised February 2024)
- Case
Generative AI and the Future of Work
By: Christopher Stanton and Matt Higgins
Generative AI seemed poised to reshape the world of work, including the higher-wage, white-collar jobs typically pursued by MBA graduates. Informed by the latest research, this case explores generative AI's potential impacts on work, productivity, value creation, and... View Details
Keywords: AI; Future Of Work; Labor Market; AI and Machine Learning; Labor; Value Creation; Performance Productivity; Technology Industry; United States
Stanton, Christopher, and Matt Higgins. "Generative AI and the Future of Work." Harvard Business School Case 824-130, December 2023. (Revised February 2024.)
- December 2023
- Teaching Note
Buurtzorg
By: Ethan Bernstein and Tatiana Sandino
Teaching Note for HBS Case No. 122-101. As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were... View Details
- December 8, 2023
- Article
What Makes a Company Great at Producing Leaders?
By: Sarah Abbott, Robin Abrahams and Boris Groysberg
GE is well known as an “academy company”—a talent incubator that exports effective leaders to other organizations and even industries. To better understand which companies are top talent incubators today, the authors worked with the Official Board, a firm that provides... View Details
Keywords: Personal Development and Career; Talent and Talent Management; Training; Organizational Culture
Abbott, Sarah, Robin Abrahams, and Boris Groysberg. "What Makes a Company Great at Producing Leaders?" Harvard Business Review (website) (December 8, 2023).
- December 4, 2023
- Article
Stop Assuming Introverts Aren't Passionate About Work
By: Kai Krautter, Anabel Büchner and Jon M. Jachimowicz
Society often assumes that the only way to be passionate is to act extroverted, but that is simply not true. In their new research, the authors found that regardless of their actual level of passion, extroverted employees are perceived as more passionate than... View Details
Keywords: Passion; Personality; Extraversion; Scale Development; Personal Characteristics; Perception; Employees; Prejudice and Bias
Krautter, Kai, Anabel Büchner, and Jon M. Jachimowicz. "Stop Assuming Introverts Aren't Passionate About Work." Harvard Business Review Digital Articles (December 4, 2023).
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- December 2023
- Case
Gabriela Santana Goldstein
By: Leslie Perlow and Hannah Weisman
Gabriela Santana Goldstein was pursuing her passion, working as the Head of Business for a telehealth startup, when her father went into sudden cardiac arrest and family duty called. The case discusses Goldstein’s difficult decision to leave her dream job, and her path... View Details
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 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.
- 2023
- Article
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
By: Usha Bhalla, Suraj Srinivas and Himabindu Lakkaraju
With the increased deployment of machine learning models in various real-world applications, researchers and practitioners alike have emphasized the need for explanations of model behaviour. To this end, two broad strategies have been outlined in prior literature to... View Details
Bhalla, Usha, Suraj Srinivas, and Himabindu Lakkaraju. "Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments
By: Christian Kaps, Simone Marinesi and Serguei Netessine
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
- November 2023 (Revised May 2024)
- Case
Norse Atlantic Airways
By: Willy Shih
Bjørn Tore Larsen, Norse Atlantic Airways' founder and CEO, hadn't planned to get into the airline business. But when the COVID-19 pandemic depressed the global demand for air travel and the lease rates for jetliners, he realized if ever he was going to get into the... View Details
Keywords: Business Model; Business Startups; Market Entry and Exit; Leasing; Business Strategy; Segmentation; Interest Rates; Air Transportation Industry; Europe; North America; Norway; United Kingdom; United States
Shih, Willy. "Norse Atlantic Airways." Harvard Business School Case 624-034, November 2023. (Revised May 2024.)
- 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 July 2024)
- Case
Aviva plc: Examining Net Zero
The board of Aviva Plc, one of the world’s largest insurers, must review its climate risk exposures and evaluate next steps. Risk experts at the firm have conducted a robust set of analyses prepared for its regulator, the Bank of England, simulating how various climate... View Details
Keywords: Analysis; Climate Change; Insurance; Governing and Advisory Boards; Risk Management; Adaptation; Financial Services Industry; Insurance Industry; Europe; United Kingdom
Tufano, Peter, Brian Trelstad, and Matteo Gasparini. "Aviva plc: Examining Net Zero." Harvard Business School Case 324-008, November 2023. (Revised July 2024.)
- 2023
- Working Paper
Coordinated R&D Programs and the Creation of New Industries
By: Daniel P. Gross and Maria P. Roche
Government R&D programs have a long history in supporting industry development, yet their impacts are often overlooked in strategy research. We examine how a large, coordinated, government-funded effort to develop radar in World War II spawned a new high-tech industry.... View Details
Keywords: Research and Development; Policy; Business and Government Relations; Technological Innovation; Collaborative Innovation and Invention
Gross, Daniel P., and Maria P. Roche. "Coordinated R&D Programs and the Creation of New Industries." Harvard Business School Working Paper, No. 24-027, April 2023.
- November 2023
- Case
UST's Adoption of Open Talent
By: Christopher Stanton and Kristen Senz
This case details the 2020 launch and subsequent scaling of UST’s Open Talent initiative, a program to integrate freelancers from digital platforms into its workforce. The case highlights how the shifting post-pandemic world, including layoffs, wage inflation, and... View Details
Keywords: Talent and Talent Management; Employment; Working Conditions; Organizational Change and Adaptation
Stanton, Christopher, and Kristen Senz. "UST's Adoption of Open Talent." Harvard Business School Case 824-117, November 2023.