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- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,...
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Keywords:
AI and Machine Learning;
Valuation;
Technological Innovation;
Open Source Distribution;
Patents;
Policy;
Knowledge Sharing;
Technology Industry
Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
- May 2024
- Case
HarvEast
By: Jeremy Friedman and Natalie Kindred
In late 2023, Dmitry Skornyakov, CEO of Ukrainian agribusiness HarvEast, was navigating the turmoil caused by Russia’s invasion of Ukraine that began in 2014 and escalated into full-scale war in February 2022. Before the full-scale invasion, HarvEast managed 127,000...
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Keywords:
Plant-Based Agribusiness;
Goods and Commodities;
Natural Resources;
Food;
Problems and Challenges;
Adaptation;
Innovation and Management;
Crisis Management;
Logistics;
Supply Chain;
Risk and Uncertainty;
Loss;
Trust;
Human Needs;
War;
Agriculture and Agribusiness Industry;
Chile;
South America;
Latin America
- 2024
- Working Paper
Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency
By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups...
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Keywords:
Product Development;
Innovation and Invention;
Business Startups;
Research and Development;
Performance Efficiency;
Pharmaceutical Industry
Hammoudeh, Mosab, Joshua Lev Krieger, and Jiajie Xu. "Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency." Harvard Business School Working Paper, No. 24-067, March 2024.
- April 2024
- Article
An Integrative Model of Hybrid Governance: The Role of Boards in Helping Sustain Organizational Hybridity
By: Anne-Claire Pache, Julie Battilana and Channing Spencer
Hybrid organizations must sustainably attend to multiple goals embedded in different institutional spheres. Past research has highlighted the value for hybrids in recruiting board members representing different logics to avoid attentional drifts; yet, diverse boards...
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Pache, Anne-Claire, Julie Battilana, and Channing Spencer. "An Integrative Model of Hybrid Governance: The Role of Boards in Helping Sustain Organizational Hybridity." Academy of Management Journal 67, no. 2 (April 2024): 437–467.
- April 2024
- Article
How Our Ideological Out-Group Shapes Our Emotional Response to Our Shared Socio-Political Reality
By: Julia Elad-Strenger, Amit Goldenberg, Tamar Saguy and Eran Halperin
What shapes our emotional responses to socio-political events? Following the social identity approach, we suggest that individuals adjust their emotional responses to socio-political stimuli based on their ideological out-group's responses, in a manner that preserves...
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Elad-Strenger, Julia, Amit Goldenberg, Tamar Saguy, and Eran Halperin. "How Our Ideological Out-Group Shapes Our Emotional Response to Our Shared Socio-Political Reality." British Journal of Social Psychology 63, no. 2 (April 2024): 723–744.
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before...
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- March 2024
- Article
Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard
By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require...
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Keywords:
Occupational Health;
Occupational Safety;
Program Evaluation;
Safety Performance;
Injuries;
OHSAS 18001;
ISO 45001;
Working Conditions;
Safety;
Standards
Viswanathan, Kala, Matthew S. Johnson, and Michael W. Toffel. "Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard." Art. 106383. Safety Science 171 (March 2024).
- 2024
- Working Paper
Exports in Disguise: Trade Re-Routing During the U.S.-China Trade War
By: Ebehi Iyoha, Edmund J. Malesky, Jaya Y. Wen, Sung-Ju Wu and Bo Feng
Origin-specific tariffs are a common policy tool; however, critics claim that such tariffs are often circumvented by rerouting goods through intermediary countries. This study examines whether rerouting increased due to the 2018-2019 U.S.–China trade war via Vietnam....
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Iyoha, Ebehi, Edmund J. Malesky, Jaya Y. Wen, Sung-Ju Wu, and Bo Feng. "Exports in Disguise: Trade Re-Routing During the U.S.-China Trade War." Harvard Business School Working Paper, No. 24-072, May 2024.
- March 2024
- Article
Human Capital Affects Religious Identity: Causal Evidence from Kenya
By: Livia Alfonsi, Michal Bauer, Julie Chytilová and Edward Miguel
We study how human capital and economic conditions causally affect the choice of religious denomination. We utilize a longitudinal dataset monitoring the religious history of more than 5,000 Kenyans over 20 years, in tandem with a randomized experiment (deworming) that...
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Alfonsi, Livia, Michal Bauer, Julie Chytilová, and Edward Miguel. "Human Capital Affects Religious Identity: Causal Evidence from Kenya." Art. 103215. Journal of Development Economics 167 (March 2024).
- February 2024
- Case
Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities
By: Rosabeth Moss Kanter and Jacob A. Small
Throughout the early 2000's, emphasis was placed on initiatives to adapt to and mitigate climate action in cities. This series presents overviews (snapshots) of 14 U.S. metropolitan regions to help identify similarities, differences, and opportunities for developing...
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Keywords:
Climate;
Climate Impact;
Innovation;
Mitigation Policies;
Carbon Footprint;
Investing;
Climate Finance;
Renewable;
Mobility;
City;
Climate Change;
Adaptation;
Renewable Energy;
Weather;
Problems and Challenges;
United States;
Boston;
Detroit;
Miami;
Minneapolis;
St. Paul;
Pittsburgh;
Seattle;
San Jose
- 2024
- Working Paper
Platform Information Provision and Consumer Search: A Field Experiment
By: Lu Fang, Yanyou Chen, Chiara Farronato, Zhe Yuan and Yitong Wang
Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing...
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Keywords:
Consumer Behavior;
E-commerce;
Decision Choices and Conditions;
Learning;
Internet and the Web
Fang, Lu, Yanyou Chen, Chiara Farronato, Zhe Yuan, and Yitong Wang. "Platform Information Provision and Consumer Search: A Field Experiment." NBER Working Paper Series, No. 32099, February 2024.
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,...
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 2024
- Working Paper
Age at Immigrant Arrival and Career Mobility: Evidence from Vietnamese Refugee Migration and the Amerasian Homecoming Act
By: Sari Pekkala Kerr, William R. Kerr and Kendall Smith
We study the long-run career mobility of young immigrants, mostly refugees, from Vietnam who moved to the United States during 1989-1995. This third and final migration wave of young Vietnamese immigrants was sparked by unexpected events that culminated in the...
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Keywords:
Vietnam;
Vietnam War;
Assimilation;
Immigration;
Refugees;
Age;
Outcome or Result;
Personal Development and Career;
Viet Nam
Kerr, Sari Pekkala, William R. Kerr, and Kendall Smith. "Age at Immigrant Arrival and Career Mobility: Evidence from Vietnamese Refugee Migration and the Amerasian Homecoming Act." Harvard Business School Working Paper, No. 24-044, January 2024.
- January 2024
- Supplement
Winning Business at Russell Reynolds
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and...
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Keywords:
Restructuring;
Talent and Talent Management;
Compensation and Benefits;
Growth and Development Strategy;
Organizational Change and Adaptation;
Organizational Culture;
Consulting Industry
Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 2024.
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients...
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Keywords:
Health Care and Treatment;
Customer Satisfaction;
Outcome or Result;
Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which...
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Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, 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
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for...
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Keywords:
AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (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).
- 2023
- Working Paper
Learning by Investing: Entrepreneurial Spillovers from Venture Capital
By: Josh Lerner, Jinlin Li and Tong Liu
This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that...
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Lerner, Josh, Jinlin Li, and Tong Liu. "Learning by Investing: Entrepreneurial Spillovers from Venture Capital." Harvard Business School Working Paper, No. 24-029, November 2023.