Publications

Educators

Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details

2018
Working Paper

Some Facts of High-Tech Patenting

By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner

Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,... View Details

Keywords: Patents; Applications and Software; Technological Innovation; United States

SSRN

July 2023 (Revised October 2024)
Case

Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup

By: Paul M. Healy and Jung Koo Kang

The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative... View Details

Keywords: Revenue Recognition; Financial Reporting; Entrepreneurial Finance; Business Startups; Growth and Development Strategy; Governance Compliance; Accrual Accounting; Financial Services Industry; United States

Educators

Research Summary

Overview

Ms. Fedyk's main research interests lie at the intersection of asset pricing and behavioral finance, with a particular focus on information and belief formation. Her job market paper is part of a broader research agenda on the way in which information is incorporated... View Details

March 1, 2022
Article

Widespread Use of National Academies Consensus Reports by the American Public

By: Diana Hicks, Matteo Zullo, Ameet Doshi and Omar Isaac Asensio

In seeking to understand how to protect the public information sphere from corruption, researchers understandably focus on dysfunction. However, parts of the public information ecosystem function very well, and understanding this as well will help in protecting and... View Details

Keywords: Reports; Surveys; AI and Machine Learning; Knowledge Dissemination; Knowledge Use and Leverage

2023
Working Paper

Beyond the Hype: Unveiling the Marginal Benefits of 3D Virtual Tours in Real Estate

By: Mengxia Zhang and Isamar Troncoso

3D virtual tours (VTs) have become a popular digital tool in real estate platforms, enabling potential buyers to virtually walk through the houses they search for online. In this paper, we study home sellers’ adoption of VTs and the VTs’ relative benefits compared to... View Details

Keywords: Marketing; AI and Machine Learning; Technology Adoption; Real Estate Industry

SSRN

Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details

May 2024
Article

Financial Innovation in the 21st Century: Evidence from U.S. Patents

By: Josh Lerner, Amit Seru, Nick Short and Yuan Sun

We develop a unique dataset of 24 thousand U.S. finance patents granted over the last two decades to explore the evolution and production of financial innovation. We use machine learning to identify the financial patents and extensively audit the results to ensure... View Details

Keywords: Banking; Investment Banks; Information Technology; Regulation; Patents; Innovation and Invention; Trends

Find at Harvard

April 2021
Article

Work-From-Anywhere: The Productivity Effects of Geographical Flexibility

By: Prithwiraj Choudhury, Cirrus Foroughi and Barbara Larson

An emerging form of remote work allows employees to work-from-anywhere, so that the worker can choose to live in a preferred geographic location. While traditional work-from-home (WFH) programs offer the worker temporal flexibility, work-from-anywhere (WFA) programs... View Details

Keywords: Geographic Flexibility; Work-from-anywhere; Remote Work; Telecommuting; Geographic Mobility; USPTO; Employees; Geographic Location; Performance Productivity

Find at Harvard

May 2021 (Revised February 2024)
Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States

Linda A. Hill is the Wallace Brett Donham Professor of Business Administration at the Harvard Business School and Faculty Chair of the Leadership Initiative. Hill is regarded as one of the top experts on leadership and innovation. Hill is... View Details

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

Keywords: AI and Machine Learning; Mathematical Methods

January 2021
Case

Anodot: Autonomous Business Monitoring

By: Antonio Moreno and Danielle Golan

Autonomous business monitoring platform Anodot leveraged machine learning to provide real-time alerts regarding business anomalies. Anodot’s solution was used in various industries in order to primarily monitor business health, such as revenue and payments, product... View Details

Keywords: Digital Platforms; Internet and the Web; Knowledge Sharing; Information Management; Sales; Value Creation; Product Positioning; Israel

Educators

2023
Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju

As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods

2021
Article

To Thine Own Self Be True? Incentive Problems in Personalized Law

By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers

Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details

Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning

SSRN

2023
Article

Experimental Evaluation of Individualized Treatment Rules

By: Kosuke Imai and Michael Lingzhi Li

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details

Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning

Find at Harvard

27 Oct 2016
HBS Seminar

Andrea Pratt, Richard Paul Richman Professor of Business and Professor of Economics, Columbia University

2024
Working Paper

Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration

By: Daniel Yue and Frank Nagle

Many companies offer free access to their technology to encourage outside addon innovation, hoping to later profit by raising prices or harnessing the power of the crowd while continuing to steer the direction of innovation. They can achieve this balance by opening... View Details

Keywords: Technological Innovation; Power and Influence; Collaborative Innovation and Invention; Corporate Governance