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Show Results For
- All HBS Web
(2,825)
- People (14)
- News (646)
- Research (1,557)
- Events (19)
- Multimedia (9)
- Faculty Publications (827)
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 20 Jun 2017
- First Look
First Look at New Research and Ideas, June 20
and Andrei Shleifer Abstract—We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of... View Details
Keywords: Sean Silverthorne
- January–February 2018
- Article
The Leader's Guide to Corporate Culture: How to Manage the Eight Critical Elements of Organizational Life
By: Boris Groysberg, Jeremiah Lee, Jesse Price and J. Yo-Jud Cheng
Executives are often confounded by culture, because much of it is anchored in unspoken behaviors, mindsets, and social patterns. But when properly managed, culture can help them achieve change and build organizations that will thrive in even the most trying times. In... View Details
Keywords: Organizational Culture; Performance Effectiveness; Strategy; Organizational Change and Adaptation
Groysberg, Boris, Jeremiah Lee, Jesse Price, and J. Yo-Jud Cheng. "The Leader's Guide to Corporate Culture: How to Manage the Eight Critical Elements of Organizational Life." Harvard Business Review 96, no. 1 (January–February 2018): 44–52.
- 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
Moreno, Antonio, and Danielle Golan. "Anodot: Autonomous Business Monitoring." Harvard Business School Case 621-084, January 2021.
- 24 Jun 2021
- Blog Post
Celebrating the Past, Crafting the Future Part 2: The First HBS/HKS Class
before eventually leading him to his current role at Formlabs, a 3D printing manufacturer committed to making technology accessible. While at HBS and HKS, Winston was eager to learn about for-profit business View Details
- July 2024
- Technical Note
What Is AI?
By: Michael Parzen and Jo Ellery
This note discusses definitions of artificial intelligence and covers the broad types of learning used in training AI, as well as explaining in detail how neural networks are built, trained, and used. View Details
Keywords: AI and Machine Learning
Parzen, Michael, and Jo Ellery. "What Is AI?" Harvard Business School Technical Note 625-010, July 2024.
- 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
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
- March 2013
- Case
NovaStar Financial: A Short Seller's Battle
By: Suraj Srinivasan and Amy Kaser
The NovaStar case describes the challenges faced by short seller Marc Cohodes of hedge fund Rocker Partners as he tried to expose what he thought was widespread fraud in mortgage lender NovaStar Financial. The case is set in the time period from 2001 to 2007 and tracks... View Details
Keywords: Short Selling; Financial Accounting; Financial Analysis; Financial Analysts; Valuation; Business Analysis; Financial Statement Analysis; Financial Statements; Securitization; Securities Analysis; Fraud; Accounting Quality; Accounting Red Flags; Accounting Restatements; Hedge Fund; Hedge Funds; Accounting Scandal; Accounting Fraud; Financial Crisis; Financial Intermediaries; Financial Firms; Corporate Accountability; Subprime Lending; Mortgage Lending; Accounting; Accrual Accounting; Fair Value Accounting; Governance; Governance Compliance; Corporate Governance; Governance Controls; Financial Services Industry; United States; California
Srinivasan, Suraj, and Amy Kaser. "NovaStar Financial: A Short Seller's Battle." Harvard Business School Case 113-120, March 2013.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 2." Harvard Business School Exercise 923-017, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 3." Harvard Business School Exercise 923-021, October 2022.
- 15 Oct 2001
- Op-Ed
Lessons from the Rubble
Pundits and investors spoke giddily of the end of national borders, of markets that spanned the globe and replaced the hefty weight of machines and plants with ephemeral bits of information. This may be true. We do have global markets and... View Details
Keywords: by Debora L. Spar
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 1
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Algorithm; Decision Choices and Conditions; Decision Making; Measurement and Metrics; Market Timing
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 1." Harvard Business School Exercise 923-019, October 2022.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for Homebuyer 3
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 3." Harvard Business School Exercise 923-018, October 2022.
- December 2016 (Revised January 2017)
- Case
Nutrition Science Initiative: Are All Calories Created Equal?
By: Kevin Schulman and Matan Dabora
In 2012, Gary Taubes lunched the Nutrition Science Initiative (NuSI), a not-for-profit organization aiming to question the mainstream scientific paradigm regarding obesity and dietary recommendations. This case provides a brief scientific background on obesity and its... View Details
Schulman, Kevin, and Matan Dabora. "Nutrition Science Initiative: Are All Calories Created Equal?" Harvard Business School Case 317-033, December 2016. (Revised January 2017.)
- 17 Jun 2014
- First Look
First Look: June 17
out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients based on analytics of this data and information. The case considers the implications of such an... View Details
Keywords: Sean Silverthorne
- Program
Competing in the Age of AI—Virtual
will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; and learn how to build an AI factory that enables your... View Details
- August 2017 (Revised July 2019)
- Case
GROW: Using Artificial Intelligence to Screen Human Intelligence
By: Ethan Bernstein, Paul McKinnon and Paul Yarabe
Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro... View Details
Keywords: Big Data; Artificial Intelligence; Talent and Talent Management; Recruitment; Selection and Staffing; Human Resources; Information Technology; AI and Machine Learning; Analytics and Data Science; Financial Services Industry; Air Transportation Industry; Advertising Industry; Manufacturing Industry; Technology Industry; Japan
Bernstein, Ethan, Paul McKinnon, and Paul Yarabe. "GROW: Using Artificial Intelligence to Screen Human Intelligence." Harvard Business School Case 418-020, August 2017. (Revised July 2019.)
- September 2007
- Case
Metro International S.A.
By: Tarun Khanna, Felix Oberholzer-Gee, Vincent Marie Dessain, Ane Damgaard Jensen and Anders Sjoman
Explores the business model of Metro International, a company publishing 70 editions of its free newspaper in 20 countries. Metro had been a pioneer in the free newspaper market, fighting incumbent publishers distributing traditional paid-for newspapers. Looks at the... View Details
Keywords: Business Model; Business Strategy; Competitive Strategy; Digital Marketing; Advertising; Expansion; Globalized Firms and Management; Journalism and News Industry; Spain
Khanna, Tarun, Felix Oberholzer-Gee, Vincent Marie Dessain, Ane Damgaard Jensen, and Anders Sjoman. "Metro International S.A." Harvard Business School Case 708-429, September 2007.
- October 2022
- Exercise
Shanty Real Estate: Confidential Information for iBuyer 2
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for iBuyer 2." Harvard Business School Exercise 923-020, October 2022.