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All HBS Web
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- Faculty Publications (1,264)
- February 2024
- Module Note
Collaborate on the Core, Compete on the Edges
By: Frank Nagle
In the rapidly evolving environment of modern business, the digitization of economic activity and the ubiquitous integration of technology across industries are fundamentally altering how companies develop and implement strategy. The rise of digital technologies has...
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Nagle, Frank. "Collaborate on the Core, Compete on the Edges." Harvard Business School Module Note 724-453, February 2024.
- 2024
- Working Paper
Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts
By: Dennis Campbell, Ruidi Shang and Zhifang Zhang
We examine how corporate cultures characterized by high degrees of homogeneity in the underlying values and beliefs of organizational members are related to the design of CEO incentive compensation contracts. We argue that culture homogeneity within firms lowers...
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Keywords:
Corporate Culture;
Compensation Design;
Accounting;
Management Control;
Incentive Systems;
Organizational Culture;
Job Design and Levels;
Governance;
Executive Compensation;
Motivation and Incentives
Campbell, Dennis, Ruidi Shang, and Zhifang Zhang. "Corporate Culture Homogeneity and Top Executive Incentive Design: Evidence from CEO Compensation Contracts." Harvard Business School Working Paper, No. 24-054, February 2024.
- February 2024
- Article
Fifty Shades of QE: Robust Evidence
By: Brian Fabo, Marina Jančoková, Elisabeth Kempf and Ľuboš Pástor
Fabo et al. (2021) show that papers written by central bank researchers find quantitative easing (QE) to be more effective than papers written by academics. Weale and Wieladek (2022) show that a subset of these results lose statistical significance when OLS regressions...
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Keywords:
Quantitative Easing;
Research;
Mathematical Methods;
Perception;
Banks and Banking;
Body of Literature
Fabo, Brian, Marina Jančoková, Elisabeth Kempf, and Ľuboš Pástor. "Fifty Shades of QE: Robust Evidence." Art. 107065. Journal of Banking & Finance 159 (February 2024).
- 2024
- Working Paper
The Value of Open Source Software
By: Manuel Hoffmann, Frank Nagle and Yanuo Zhou
The value of a non-pecuniary (free) product is inherently difficult to assess. A pervasive
example is open source software (OSS), a global public good that plays a vital role in the economy
and is foundational for most technology we use today. However, it is...
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Hoffmann, Manuel, Frank Nagle, and Yanuo Zhou. "The Value of Open Source Software." Harvard Business School Working Paper, No. 24-038, January 2024.
- 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...
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Keywords:
Information Trnasmission;
Word Of Mouth;
Word-of-Mouth;
Narratives;
Reliability;
Knowledge Sharing;
Spoken Communication;
Cognition and Thinking
Graeber, Thomas, Shakked Noy, and Christopher Roth. "Lost in Transmission." Harvard Business School Working Paper, No. 24-047, January 2024.
- 2024
- Chapter
The Private Economy Under Party-State Capitalism
By: Margaret M. Pearson, Meg Rithmire and Kellee S. Tsai
This chapter addresses the evolution of China’s approach to the private sector from the early reform era until the beginning of Xi Jinping’s third term. It argues that China has evolved from a familiar form of state capitalism, in which economic growth is the primary...
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Keywords:
Government Administration;
International Relations;
Economic Growth;
Economic Sectors;
Economic Systems;
China
Pearson, Margaret M., Meg Rithmire, and Kellee S. Tsai. "The Private Economy Under Party-State Capitalism." Chap. 3 in Chinese Politics: The Xi Jinping Difference. 2nd edition edited by Stanley Rosen and Daniel C. Lynch, 67–82. Routledge, 2024.
- 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...
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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 2023 (Revised December 2023)
- Case
Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)
By: Tatiana Sandino and Samuel Grad
In 2005, Research In Motion’s (RIM) BlackBerry smartphone was a sensation. After its launch in 1999, the groundbreaking BlackBerry had captured the hearts and minds of corporate America through its secure wireless email service. The device was so addictive and...
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Keywords:
Business Growth and Maturation;
Decision Choices and Conditions;
Mobile and Wireless Technology;
Innovation and Management;
Technological Innovation;
Business or Company Management;
Management Style;
Product Development;
Managerial Roles;
Growth and Development Strategy;
Technology Industry;
United States;
Canada
Sandino, Tatiana, and Samuel Grad. "Research In Motion: Launching and Scaling the World's First Smartphone Empire (A)." Harvard Business School Case 124-023, December 2023. (Revised December 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
- 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...
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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
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 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...
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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.
- November 2023 (Revised July 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 July 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
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts...
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Keywords:
Decision Choices and Conditions;
Technological Innovation;
Open Source Distribution;
Strategy;
AI and Machine Learning;
Applications and Software;
Technology Industry;
United States
Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, November 2023.
- November 2023
- Case
Riiid: Scaling AI Educational Services Globally
By: John Jong-Hyun Kim, Nancy Dai and Ruru Hoong
This article explores the definition and evolution of AI, its applications in education, and the role of AI, particularly in K-12 education. It discusses the founding of Riiid, an AI-driven educational technology company, and its journey in the education sector, with a...
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Keywords:
AI and Machine Learning;
Economic Sectors;
Technological Innovation;
Education Industry;
South Korea;
Asia
Kim, John Jong-Hyun, Nancy Dai, and Ruru Hoong. "Riiid: Scaling AI Educational Services Globally." Harvard Business School Case 324-030, November 2023.
- 2023
- Book
How the Harvard Business School Changed the Way We View Organizations
By: Jay W. Lorsch
The story of the field of organizational behavior (which overlaps considerably with the origin story of Harvard Business School) and how it created the “medical model” of systems thinking—anchored in the practices of listening, observing, testing, and only then...
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Keywords:
Organizational Behavior;
Systems Thinking;
Medical Model;
Organizations;
Behavior;
System;
History
Lorsch, Jay W. How the Harvard Business School Changed the Way We View Organizations. Business Expert Press, 2023.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"...
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Keywords:
Freelancers;
Gig Workers;
Demographics;
Prejudice and Bias;
Selection and Staffing;
Jobs and Positions;
Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- November 2023
- Article
Open Source Software and Global Entrepreneurship
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
This is the first study to consider the relationship between open source software (OSS) and
entrepreneurship around the globe. This study measures whether country-level participation on
the GitHub OSS platform affects the founding of innovative ventures, and where it...
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Keywords:
Entrepreneurship;
Applications and Software;
Business Ventures;
Development Economics;
Innovation and Invention;
Global Range
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Open Source Software and Global Entrepreneurship." Art. 104846. Research Policy 52, no. 9 (November 2023).
- 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,...
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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.
- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of...
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Zhu, Feng, and Carmelo Cennamo. "Toward a Better Understanding of Open Ecosystems: Implications for Policymakers." Working Paper, November 2023.