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Show Results For
- All HBS Web
(1,564)
- News (204)
- Research (1,137)
- Events (16)
- Multimedia (1)
- Faculty Publications (665)
- October 2007
- Article
Supply and Demand Shifts in the Shorting Market
By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find... View Details
Keywords: Analytics and Data Science; Stocks; Financing and Loans; Price; Strategy; Demand and Consumers; Forecasting and Prediction; Investment Return; Markets; Information
Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Supply and Demand Shifts in the Shorting Market." Journal of Finance 62, no. 5 (October 2007): 2061–2096. (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2007.)
- 2025
- Working Paper
Data-driven Technologies and Local Information Advantages in Small Business Lending
By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
policy to work on a side interest, a machine learning tool to help small businesses identify promising business opportunities. “Google has useful information on foot-traffic patterns, plus satellite imagery and other View Details
- 07 Nov 2017
- First Look
New Research and Ideas: November 7, 2017
Bennett, Victor Manuel, Megan Lawrence, and Raffaella Sadun Abstract—We investigate the management practices adopted by firms where the founders are also the CEOs using data... View Details
Keywords: Carmen Nobel
- 23 Apr 2019
- First Look
New Research and Ideas, April 23, 2019
five minutes to be matched to a driver—rather than the standard two minutes—rider cancellation rates increase, but Uber’s costs per ride are reduced. Together with data scientists, engineers, and product... View Details
Keywords: Dina Gerdeman
- August 2018 (Revised October 2019)
- Case
C3.ai—Driven to Succeed
By: Robert Simons and George Gonzalez
CEO Tom Siebel navigates his artificial intelligence (ai) startup through a series of pivots, market expansions, and even an elephant attack to become a leading platform ad service provider. The case describes his unusual management approach emphasizing employee... View Details
Keywords: Strategy Execution; Performance Measurement; Critical Performance Variables; Strategic Boundaries; Internet Of Things; Artificial Intelligence; Software Development; Big Data; Machine Learning; Business Startups; Management Style; Business Strategy; Performance; Measurement and Metrics; Organizational Culture; AI and Machine Learning; Digital Transformation; Applications and Software; Digital Marketing; Analytics and Data Science; Technology Industry; United States; California
Simons, Robert, and George Gonzalez. "C3.ai—Driven to Succeed." Harvard Business School Case 119-004, August 2018. (Revised October 2019.)
- 2015
- Working Paper
Online Word of Mouth and Product Review Disagreement
By: Frank Nagle and Christoph Riedl
Studies of online word of mouth have frequently posited―but never systematically conceptualized and explored―that the level of disagreement between existing product reviews can impact the volume and the valence of future reviews. In this study we develop a theoretical... View Details
Keywords: Online Word Of Mouth; Online Communities; Viral Marketing; Online Product Reviews; Quality; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Social and Collaborative Networks; Digital Marketing; Analytics and Data Science
Nagle, Frank, and Christoph Riedl. "Online Word of Mouth and Product Review Disagreement." Harvard Business School Working Paper, No. 13-091, May 2013. (Revised May 2015, selected for AOM Best Paper Proceedings.)
- 09 Oct 2018
- First Look
New Research and Ideas, October 9, 2018
2018 Redwood City, Stanford Business Books The Gift of Global Talent: How Migration Shapes Business, Economy & Society By: Kerr, William R. Abstract—The global race for talent is on, with countries and businesses competing for the... View Details
Keywords: Dina Gerdeman
- 15 May 2018
- First Look
New Research and Ideas, May 15, 2018
suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive View Details
Keywords: Dina Gerdeman
- 30 Nov 2021
- In Practice
What's the Role of Business in Confronting Climate Change?
The 26th annual United Nations Climate Change Conference of the Parties, also known as COP26, ended with a hard-fought pact that called on businesses and governments to meet their climate change goals faster. The event followed an August report by the Intergovernmental... View Details
Keywords: by Lynn Schenk and Dina Gerdeman
- September 2020 (Revised February 2024)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
Eugene F. Soltes
Eugene Soltes is a Professor of Business Administration at Harvard Business School where his work focuses on corporate integrity and risk management. His research utilizes data analytics to identify organizational cultures and compliance systems that can effectively... View Details
- 26 Jun 2018
- First Look
New Research and Ideas, June 26, 2018
but this article shows it has never been true historically. Using longitudinal data on individual firms from the nineteenth century onwards, it reveals evidence of how entrepreneurs and firms with... View Details
Keywords: Dina Gerdeman
Karim R. Lakhani
Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial... View Details
Chiara Farronato
Chiara Farronato is Glenn and Mary Jane Creamer Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, and co-Principal Investigator of the Platform Lab at the Digital... View Details
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- May 2018 (Revised February 2019)
- Case
The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft
By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb
As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details
Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry
Rayport, Jeffrey F., Julia Kelley, and Nathaniel Schwalb. "The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft." Harvard Business School Case 818-111, May 2018. (Revised February 2019.)
- 13 Sep 2018
- HBS Seminar
Nitin Joglekar, Boston University
- Web
Value-Based Health Care - Institute For Strategy And Competitiveness
outcomes to increase patient value. Patients Participate actively in managing personal health, and, when faced with care and treatment options, seek assistance in understanding the expected outcomes. Health... View Details
- May 2024
- Article
Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities
By: Omar Isaac Asensio, Olga Churkina, Becky D. Rafter and Kira E O'Hare
Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and... View Details
Keywords: Energy Efficiency; Public Policy; Climate Change; Energy Conservation; Housing; Analytics and Data Science; Policy; Income; Environmental Sustainability; Real Estate Industry; United States
Asensio, Omar Isaac, Olga Churkina, Becky D. Rafter, and Kira E O'Hare. "Housing Policies and Energy Efficiency Spillovers in Low and Moderate Income Communities." Nature Sustainability 7, no. 5 (May 2024): 590–601.