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Publications

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    • All HBS Web  (1,319)
      • Faculty Publications  (214)

      by Danielle LiRemove by Danielle Li →

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      • Working Paper

      Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

      By: Flora Feng, Charis Li and Shunyuan Zhang
      Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
      Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
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      Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
      • January 2024 (Revised January 2025)
      • Case

      Huawei: Resilience amid Autarky and Adversity

      By: William C. Kirby and Daniel Fu
      In September 2023, Huawei made a dramatic return to the global smartphone space with the launch of its Mate 60 Pro smartphone, equipped with an indigenously designed, 7nm chip. This came despite a myriad of export controls and restrictions imposed against the company... View Details
      Keywords: International Strategy; Semiconductors; Smartphone; Government And Politics; Government And Business; Digital Infrastructure; 5G; Political Risk; Business and Government Relations; Global Strategy; Multinational Firms and Management; Governing Rules, Regulations, and Reforms; AI and Machine Learning; Mobile and Wireless Technology; Leadership; Retirement; Corporate Strategy; Technology Industry; China; United States; Europe; Asia; Middle East
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      Kirby, William C., and Daniel Fu. "Huawei: Resilience amid Autarky and Adversity." Harvard Business School Case 324-069, January 2024. (Revised January 2025.)
      • November 2023
      • Article

      Algorithmic Mechanism Design with Investment

      By: Mohammad Akbarpour, Scott Duke Kominers, Kevin Michael Li, Shengwu Li and Paul Milgrom
      We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare, but have only a zero guarantee when one bidder can invest before... View Details
      Keywords: Mechanism Design; Market Design; Auctions
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      Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design with Investment." Econometrica 91, no. 6 (November 2023): 1969–2003.
      • 2023
      • Working Paper

      Financial and Informational Integration Through Oracle Networks

      By: Lin William Cong, Eswar Prasad and Daniel Rabetti
      Oracles are software components that enable data exchange between siloed blockchains and external environments, enhancing smart contract capabilities and platform interoperability. We find that oracle integration is positively associated with total value locked and... View Details
      Keywords: Decentralized Finance; Blockchain; Smart Contract; International Economy; Interoperability; Risk Sharing; Applications and Software; Financial Markets; Economics; Risk Management
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      Cong, Lin William, Eswar Prasad, and Daniel Rabetti. "Financial and Informational Integration Through Oracle Networks." Working Paper, December 2023.
      • November 2023
      • Case

      Open Source Machine Learning at Google

      By: Shane Greenstein, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue and James Barnett
      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... View Details
      Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
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      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.
      • 2023
      • Working Paper

      Coordinated R&D Programs and the Creation of New Industries

      By: Daniel P. Gross and Maria P. Roche
      Complex systems technologies—including “deep tech”—are prone to numerous frictions that stymie commercial development. Yet technologies with these features underpin some of the most valuable industries of the past century. We examine how large, mission-oriented... View Details
      Keywords: Research and Development; Policy; Business and Government Relations; Technological Innovation; Collaborative Innovation and Invention
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      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. (Revised October 2024.)
      • 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... View Details
      Keywords: Partners and Partnerships; Entrepreneurship; Venture Capital; Investment; China
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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.
      • November 2023
      • Case

      Swanson Health: Becoming a Super Seller

      By: William R. Kerr, Daniel O'Connor and Paige Boehmcke
      Founded in 1969, Swanson Health sold vitamins, supplements, natural health products, and organic foods. Over the years, the company had successfully navigated multiple industry transitions as it expanded from a print catalog to sell products on its own... View Details
      Keywords: Sales; Transition; Growth Management; Distribution Channels; Organizational Change and Adaptation; Health Industry; Consumer Products Industry; United States
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      Kerr, William R., Daniel O'Connor, and Paige Boehmcke. "Swanson Health: Becoming a Super Seller." Harvard Business School Case 824-093, November 2023.
      • November 2023
      • Case

      Chai Point

      By: Rembrand Koning, Daniel W. Elfenbein and Kanika Jain
      Chai Point was an Indian food and beverage company focused on chai. It started in 2010 as a retail store network but soon expanded to corporate offices by developing an IoT-enabled automatic tea and filter coffee machine. By 2023, Chai Point had 170 stores and 5000... View Details
      Keywords: Entrepreneurship; Food; Resource Allocation; Vertical Integration; Expansion; Food and Beverage Industry; Technology Industry; Retail Industry; India
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      Koning, Rembrand, Daniel W. Elfenbein, and Kanika Jain. "Chai Point." Harvard Business School Case 724-418, November 2023.
      • 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... View Details
      Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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      Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
      • 2023
      • Working Paper

      Learning to Use: Stack Overflow and Technology Adoption

      By: Daniel Jay Brown and Maria P. Roche
      In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details
      Keywords: Technology Adoption; Knowledge Sharing
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      Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
      • 2023
      • Working Paper

      The Market for Sharing Interest Rate Risk: Quantities and Asset Prices

      By: Ishita Sen, Umang Khetan, Jane Li and Ioana Neamtu
      We study the extent of interest rate risk sharing across the financial system using granular positions and transactions data in interest rate swaps. We show that pension and insurance (PF&I) sector emerges as a natural counterparty to banks and corporations: overall,... View Details
      Keywords: Interest Rates; Investment Funds; Banks and Banking; Insurance; Investment Banking; Risk and Uncertainty
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      Sen, Ishita, Umang Khetan, Jane Li, and Ioana Neamtu. "The Market for Sharing Interest Rate Risk: Quantities and Asset Prices." Harvard Business School Working Paper, No. 24-052, February 2024.
      • 2023
      • Working Paper

      Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

      By: Neil Menghani, Edward McFowland III and Daniel B. Neill
      In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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      Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
      • 2023
      • Working Paper

      Evaluation and Learning in R&D Investment

      By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
      We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
      Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
      • 2023
      • Article

      Provable Detection of Propagating Sampling Bias in Prediction Models

      By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
      With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
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      Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
      • April 2023 (Revised April 2025)
      • Case

      Eike Batista: Making or Breaking Brazil

      By: Geoffrey Jones, Pedro Magalhães, Daniel Tong and Marcel Anduiza
      This case explores the meteoric rise and fall of Eike Batista, once Brazil’s richest person and the world’s seventh wealthiest in 2012. Batista began his career by investing in gold mining in the Amazon, using the network his father had built after years serving as... View Details
      Keywords: Crime and Corruption; Entrepreneurship; Investment; Energy Industry; Mining Industry; Brazil
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      Jones, Geoffrey, Pedro Magalhães, Daniel Tong, and Marcel Anduiza. "Eike Batista: Making or Breaking Brazil." Harvard Business School Case 323-111, April 2023. (Revised April 2025.)
      • April 2023
      • Technical Note

      An Art & A Science: How to Apply Design Thinking to Data Science Challenges

      By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
      We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
      Keywords: Decision Making; Framework; Analytics and Data Science
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      Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
      • March–April 2023
      • Article

      Pricing for Heterogeneous Products: Analytics for Ticket Reselling

      By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
      Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
      Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
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      Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
      • 2023
      • Working Paper

      Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé

      By: Stefan Dimitiadis and Rembrand Koning
      Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer... View Details
      Keywords: Local Range; Knowledge Sharing; Performance Productivity; Togo
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      Dimitiadis, Stefan, and Rembrand Koning. "Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé." Working Paper, February 2023.
      • January 2023
      • Case

      Baofeng's Philanthropic Efforts in China

      By: Lauren Cohen, Hao Gao, Bo Li and Zhaoheng Gong
      Yanbao Dang, President of Baofeng Group and founder of the Yanbao Foundation, Baofeng Group’s philanthropic arm, weighed how the family nonprofit could maximize its impact. On a mission to eliminating poverty through broadening access to educational opportunities in... View Details
      Keywords: Family Business; Entrepreneurship; Rural Scope; Social Enterprise; Nonprofit Organizations; Social Issues; Poverty; Resource Allocation; Green Technology Industry; Education Industry; China; Asia
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      Cohen, Lauren, Hao Gao, Bo Li, and Zhaoheng Gong. "Baofeng's Philanthropic Efforts in China." Harvard Business School Case 223-067, January 2023.
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