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All HBS Web
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- Faculty Publications (1,970)
Generics →
- 2023
- Working Paper
Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network
By: Ebehi Iyoha
This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches....
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Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
- 2023
- Working Paper
Rapport in Organizations: Evidence from Fast Food
By: Achyuta Adhvaryu, Parker Howell, Anant Nyshadham and Jorge Tamayo
Common identity often provides a foundation for workplace rapport. Though gender is perhaps the most frequently studied dimension of identity among workers, little is known about how gender match between managers and their workers might affect team performance. Using...
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Keywords:
Management;
Relationships;
Gender;
Labor and Management Relations;
Organizational Change and Adaptation;
Employees;
Food and Beverage Industry;
Colombia
Adhvaryu, Achyuta, Parker Howell, Anant Nyshadham, and Jorge Tamayo. "Rapport in Organizations: Evidence from Fast Food." Harvard Business School Working Paper, No. 24-032, November 2023.
- December 2023
- 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...
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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.
- December 4, 2023
- Comment
The Great Resignation, Employment, and Wages in Health Care
By: Amitabh Chandra and Louis-Jonas Heizlsperger
Notwithstanding concerns about staffing levels and burnout in health care, federal wage and employment data does not support the suggestion that a COVID-19 pandemic-related spike in quitting has had an enduring impact for hospitals or physician offices. Employment in...
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Chandra, Amitabh, and Louis-Jonas Heizlsperger. "The Great Resignation, Employment, and Wages in Health Care." NEJM Catalyst (December 4, 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,...
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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...
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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...
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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
- Working Paper
Complexity and Hyperbolic Discounting
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range...
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Keywords:
Hyperbolic Discounting;
Present Bias;
Bounded Rationality;
Cognitive Uncertainty;
Behavioral Finance
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
- 2023
- Article
Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation
By: Jan B. Brönneke, Annika Herr, Simon Reif and Ariel D. Stern
Germany’s 2019 Digital Healthcare Act (Digitale-Versorgung-Gesetz, or DVG) created a number of opportunities for the digital transformation of the health care delivery system. Key among these was the creation of a reimbursement pathway for patient-centered digital...
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Keywords:
Digital Transformation;
Applications and Software;
Product Development;
Insurance;
Policy;
Health Industry;
Germany
Brönneke, Jan B., Annika Herr, Simon Reif, and Ariel D. Stern. "Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation." International Journal of Technology Assessment in Health Care 39, no. 1 (2023).
- 2023
- Chapter
Malleability Interventions in Intergroup Relations
By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and...
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Cohen-Chen, Smadar, Amit Goldenberg, James J. Gross, and Eran Halperin. "Malleability Interventions in Intergroup Relations." Chap. 7 in Psychological Intergroup Interventions: Evidence-based Approaches to Improve Intergroup Relations, by Eran Halperin, Boaz Hameiri, and Rebecca Littman. Routledge, 2023.
- 2023
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
There is a growing belief that scalable and low-cost AI assistance can improve firm
decision-making and economic performance. However, running a business involves
a myriad of open-ended problems, making it hard to generalize from recent studies
showing that...
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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.
- December 1, 2023
- Article
When Charismatic CEOs Are an Asset—and When They’re a Liability
By: Nitin Nohria
Starting in the 1980s, a generation of larger-than-life CEOs became full-blown celebrity, but over time, research suggested that charismatic CEOs tended to have drawbacks at leaders. However, charisma can be especially useful in two business concepts with big unknowns:...
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Keywords:
Leadership Style;
Business Startups;
Risk and Uncertainty;
Organizational Change and Adaptation
Nohria, Nitin. "When Charismatic CEOs Are an Asset—and When They’re a Liability." Harvard Business Review (website) (December 1, 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...
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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.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause...
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- November 2023 (Revised February 2024)
- Case
'Care in Every Drop': Ayala Corporation and Manila Water (A)
By: Debora L. Spar, Paul Healy, Tricia Peralta and Julia M. Comeau
Since 1834, eight generations of the Ayala family have used their conglomerate to fund nation-building projects in the Philippines, including investments in tramcars, telecommunications, hospitals, and schools. In 1997, Ayala’s subsidiary, Manila Water, took control of...
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Keywords:
Family Business;
Economic Growth;
Social Entrepreneurship;
Climate Change;
Natural Resources;
Crisis Management;
Failure;
Privatization;
Social Issues;
Urban Development;
Adaptation;
Public Opinion;
Mission and Purpose;
Utilities Industry;
Asia;
Philippines
Spar, Debora L., Paul Healy, Tricia Peralta, and Julia M. Comeau. "'Care in Every Drop': Ayala Corporation and Manila Water (A)." Harvard Business School Case 324-038, November 2023. (Revised February 2024.)
- November 2023
- Supplement
'Care in Every Drop': Ayala Corporation and Manila Water (B)
By: Debora L. Spar, Paul Healy, Tricia Peralta and Julia Comeau
Since 1834, eight generations of the Ayala family have used their conglomerate to fund nation-building projects in the Philippines, including investments in tramcars, telecommunications, hospitals, and schools. In 1997, Ayala’s subsidiary, Manila Water, took control of...
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Keywords:
Family Business;
Economic Growth;
Social Entrepreneurship;
Climate Change;
Natural Resources;
Crisis Management;
Failure;
Privatization;
Social Issues;
Urban Development;
Adaptation;
Infrastructure;
Utilities Industry;
Philippines
Spar, Debora L., Paul Healy, Tricia Peralta, and Julia Comeau. "'Care in Every Drop': Ayala Corporation and Manila Water (B)." Harvard Business School Supplement 324-039, November 2023.
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was...
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Keywords:
Business Ventures;
Strategy;
AI and Machine Learning;
Applications and Software;
Product Launch;
Information Technology Industry;
Technology Industry;
Web Services Industry;
United States;
California
Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with...
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Keywords:
Technology Adoption;
Leading Change;
Entrepreneurship;
Risk and Uncertainty;
Education Industry;
Technology Industry;
United States;
San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- November 2023 (Revised January 2024)
- Case
Votorantim: Uniting Family and Business Across Generations
By: Christina R. Wing, Carla Larangeira and Pedro Levindo
Over a 105-year span, the Ermírio de Moraes family built Votorantim, one of Latin America’s largest industrial conglomerates, and among Brazil’s topmost businesses, also credited for helping “build” the country over decades. By early 2023, Votorantim included...
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Keywords:
Corporate Governance;
Family Ownership;
Business and Shareholder Relations;
Family and Family Relationships;
Agriculture and Agribusiness Industry;
Chemical Industry;
Mining Industry;
Financial Services Industry;
Latin America
Wing, Christina R., Carla Larangeira, and Pedro Levindo. "Votorantim: Uniting Family and Business Across Generations." Harvard Business School Case 624-050, November 2023. (Revised January 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...
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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.