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Blog | Social Enterprise | Harvard Business School

Conference Gets Back to Basics Aparna Ramanan Ketty Lie 11 Jan 2018 This year, the Social Enterprise Conference (SECON) goes back to basics. The central tension in t... Machine Learning for Social Impact... View Details

July 2024
Case

Dynamic Pricing at Wendy’s: Where’s the Beef?

By: Elie Ofek, Alicia Dadlani and Martha Hostetter

In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details

Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry

18 Feb 2009
First Look

First Look: February 18, 2009

and probabilistic delayed observation of agents' types. I derive conditions in which an advertising principal can set its payment delay to deter rogue agents and to attract solely or primarily good-type agents. Through the savings from... View Details

Keywords: Martha Lagace

February 2024 (Revised July 2024)
Case

Taffi: Entrepreneurship in Saudi Arabia

By: Paul A. Gompers and Fares Khrais

Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details

Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula

October 2023
Teaching Note

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Tim Englehart

Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details

Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry

24 Jun 2019
Blog Post

Chloe Ho, MBA 2019: Data-Driven and In Demand

mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models. Ho took this newly acquired data and analytics knowledge with her to HBS, and,... View Details

Keywords: Technology

24 Jul 2019
Blog Post

Data-Driven and in Demand

mining and exploratory analysis, and familiarized herself with the ins and outs of various machine learning models. Ho took this newly acquired data and analytics knowledge with her to HBS, and,... View Details

25 Feb 2020
News

How Artificial Intelligence is Changing Business

strategy. In addition, nearly 50 faculty members have conducted research and published articles in three broad categories: examining the effects of AI on particular firms, applying existing machine learning... View Details

Keywords: Susan Young

06 May 2015
What Do You Think?

Are You Ready for Personalized Predictive Analytics?

Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, and big data combined with rapid... View Details

Keywords: by James Heskett

2021
Working Paper

CRM and AI in Time of Crisis

By: Michelle Y. Lu and Navid Mojir

A crisis can affect the incentives of various players within a firm’s multi-layered sales and marketing organization (e.g., headquarters and branches of a bank). Such shifts can result in sales decisions against the firm’s best interests. Motivated by the backlash to... View Details

Keywords: CRM; Artificial Intelligence; AI; B2B Marketing; Decision Authority; Crisis Marketing; Intra-organizational Conflict; COVID-19 Pandemic; Customer Relationship Management; Technological Innovation; Decision Making; Strategy; Health Pandemics; Crisis Management; AI and Machine Learning

SSRN

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October 2018
Case

Shield AI

By: Mitchell Weiss and A.J. Steinlage

Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details

28 May 2019
News

Ask the Expert: In Security

common than ever? —John Lacey (MBA 1981) YOUNG: Bulletproof security is not statistically possible, but we can minimize risk by developing layers of protection and proactive approaches that increase those layers. Adversarial machine View Details

Keywords: Jen McFarland Flint; cybersecurity

2024
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details

Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science

2023
Working Paper

The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

By: David S. Scharfstein and Sergey Chernenko

We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details

Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result

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October 2019
Case

Feeling Machines: Emotion AI at Affectiva

By: Shane Greenstein and John Masko

In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details

Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States