Filter Results:
(1,483)
Show Results For
- All HBS Web
(1,483)
- People (1)
- News (274)
- Research (943)
- Events (19)
- Multimedia (6)
- Faculty Publications (771)
Show Results For
- All HBS Web
(1,483)
- People (1)
- News (274)
- Research (943)
- Events (19)
- Multimedia (6)
- Faculty Publications (771)
- 17 Jun 2021
- News
Too Few Women Get to Invent – That’s a Problem for Women’s Health
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
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; Preference Prediction; 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
Scott Duke Kominers
Scott Duke Kominers is a Professor of Business Administration in the Entrepreneurial Management Unit; as well as a Faculty Affiliate of the
- February 1999 (Revised November 2009)
- Case
Michael Brown: Negotiating Slots at Foxwoods (A)
The issues of the impending negotiation between the CEO of Foxwoods and the governor of Connecticut over lifting the ban on slot machines at Foxwoods are presented. Reviews the gaming business in the United States, the special history of Indian gaming, the Pequot... View Details
Keywords: Financial Crisis; Games, Gaming, and Gambling; Policy; Negotiation Deal; Business and Government Relations; Entertainment and Recreation Industry; Connecticut
Sebenius, James K. "Michael Brown: Negotiating Slots at Foxwoods (A)." Harvard Business School Case 899-234, February 1999. (Revised November 2009.)
- 11 Sep 2020
- News
Two Books Wonder: How Long Until You Fall in Love With a Robot?
- 26 Mar 2025
- News
Behind the Research: Elisabeth Paulson
- 20 May 2014
- News
The Capitalist’s Dilemma
- December 2022 (Revised January 2025)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
- 2022
- Working Paper
Rethinking Explainability as a Dialogue: A Practitioner's Perspective
By: Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan and Sameer Singh
As practitioners increasingly deploy machine learning models in critical domains such as healthcare, finance, and policy, it becomes vital to ensure that domain experts function effectively alongside these models. Explainability is one way to bridge the gap between... View Details
Keywords: Natural Language Conversations; AI and Machine Learning; Experience and Expertise; Interactive Communication; Business and Stakeholder Relations
Lakkaraju, Himabindu, Dylan Slack, Yuxin Chen, Chenhao Tan, and Sameer Singh. "Rethinking Explainability as a Dialogue: A Practitioner's Perspective." Working Paper, 2022.
- August 2007 (Revised September 2008)
- Case
Marketing the "$100 Laptop" (A)
By: John A. Quelch and Carin-Isabel Knoop
In 2002, Professor Nicholas Negroponte, a successful venture capitalist, author, and co-founder and chairman emeritus of the Massachusetts Institute of Technology (MIT) Media Lab, announced his intention to build a PC so cheap as to make it possible to provide... View Details
Keywords: Venture Capital; Internet and the Web; Information Technology; Product Development; Technological Innovation; Nonprofit Organizations; Marketing Strategy; Information Infrastructure; Developing Countries and Economies; Manufacturing Industry; Information Technology Industry; Computer Industry; Cambridge
Quelch, John A., and Carin-Isabel Knoop. Marketing the "$100 Laptop" (A). Harvard Business School Case 508-024, August 2007. (Revised September 2008.)
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
Jenny Wang
Jenny Shan Wang is a doctoral student in the Technology and Operations Management program at Harvard Business School (HBS). She is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods... View Details
- October 2019 (Revised March 2021)
- Background Note
Modern Automation (B): Robotics
By: William R. Kerr and James Palano
Driven largely by advances in perception and situational awareness, robots in the 2010s were gaining functionality that allowed them to be applied to fundamentally new types of work. The expanding range of new tasks that could be completed by machines had significant... View Details
Keywords: Robotics; Artificial Intelligence; Future Of Work; Technology Commercialization; Information Technology; Commercialization; Employment; AI and Machine Learning
Kerr, William R., and James Palano. "Modern Automation (B): Robotics." Harvard Business School Background Note 820-069, October 2019. (Revised March 2021.)
Julian De Freitas
Julian De Freitas is an Assistant Professor of Business Administration in the Marketing Unit, and Director of the Ethical Intelligence Lab, at Harvard Business School. He earned his PhD in psychology from Harvard, masters from Oxford, and BA from Yale. He teaches... View Details
Debora L. Spar
Debora Spar is the Jaime and Josefina Chua Tiampo Professor of Business Administration at Harvard Business School and Senior Associate Dean for Business and Global Society. Her current research focuses on issues of gender and technology, and the interplay between... View Details
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Entertainment and Recreation Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- October 1993 (Revised July 1995)
- Case
Microlite S.A.: The Pan-Orient Decision
As Brazil begins lowering its tariffs on imports, Microlite S.A., the country's largest producer of dry-cell batteries, is faced with becoming internationally competitive. It is consolidating production of zinc-carbon batteries in its northeast plant, presenting the... View Details
Gray, Ann E. "Microlite S.A.: The Pan-Orient Decision." Harvard Business School Case 694-055, October 1993. (Revised July 1995.)
- March 2022
- Case
Unilever: Remote Work in Manufacturing
By: Prithwiraj Choudhury and Susie L. Ma
In December 2021, Unilever—one of the world’s largest producers of consumer goods—was in the midst of a pilot project to digitize its manufacturing facilities and enable remote work for factory employees. This was possible because of an earlier project to retrofit a... View Details
Keywords: Change; Globalization; Information Technology; Technology Adoption; Human Resources; Jobs and Positions; Operations; Education; Training; Manufacturing Industry
Choudhury, Prithwiraj, and Susie L. Ma. "Unilever: Remote Work in Manufacturing." Harvard Business School Case 622-030, March 2022.
- 01 Feb 1997
- News
Doing It Your Way
In the beginning there was the microprocessor. The mass market availability in the early 1980s of this revolutionary piece of technology — which shrank the computer from an unwieldy Goliath of a machine to a compact unit that could fit on... View Details