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(1,603)
- News (201)
- Research (1,065)
- Events (13)
- Multimedia (1)
- Faculty Publications (609)
Show Results For
-
All HBS Web
(1,603)
- News (201)
- Research (1,065)
- Events (13)
- Multimedia (1)
- Faculty Publications (609)
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- June 2014
- Case
Riverview Law: Applying Business Sense to the Legal Market
By: Heidi K. Gardner and Silvia Hodges Silverstein
Riverview Law, run like a business rather than a traditional law firm, wants to expand its unconventional concept from the UK to the US. The firm's approach includes performing all legal work for annual fixed-price contracts, using data and analytics to advise clients...
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Keywords:
Strategy;
Professional Services;
Disruptive Innovation;
Law Firms;
Client Service;
Culture;
Recruiting;
Management;
Professional Services Firms;
Business Model;
Legal Services Industry;
United Kingdom;
United States
Gardner, Heidi K., and Silvia Hodges Silverstein. "Riverview Law: Applying Business Sense to the Legal Market." Harvard Business School Case 414-079, June 2014.
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
- 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...
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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.)
- 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
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
- 2024
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information
which an algorithm does not have access to that can improve performance. How can we help humans effectively use
and adjust recommendations made by...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, February 2024.
- 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...
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- 23 May 2011
- Op-Ed
Leading and Lagging Countries in Contributing to a Sustainable Society
which corporate and investor behavior is changing. We did so by analyzing data from more than 2,000 companies in 23 countries, and then ranked those countries based on the...
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Keywords:
by Robert G. Eccles & George Serafeim
- 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...
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Keywords:
Dina Gerdeman
- 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...
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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
- 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...
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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...
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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...
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Keywords:
by Lynn Schenk and 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...
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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.)
- Forthcoming
- 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...
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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 (forthcoming). (Pre-published online March 18, 2024.)
- Web
Value-Based Health Care - Institute For Strategy And Competitiveness
value. Patients Participate actively in managing personal health, and, when faced with care and treatment options, seek assistance in understanding the expected outcomes. Health Plans Maximize value for...
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- 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...
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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.)
- 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...
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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.