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- All HBS Web
(3,281)
- People (1)
- News (537)
- Research (2,246)
- Events (27)
- Multimedia (9)
- Faculty Publications (1,115)
- Web
Data for Impact: Impact Measurement from Startup to Fortune 500 C-Suite - Course Catalog
impact measurement to massively amplify their impact? These are some of the questions we will tackle in this course. Data for Impact (DFI) is intended to train students to become informed and discriminating consumers of evidence, so as to... View Details
- 03 Feb 2014
- Research & Ideas
The Tricky Business of Managing Web Advertising Affiliates
outside manager, the merchant should be clear on what practices the program will permit and to not assume outsourced managers will always act in the merchant's best interest. ("Quite the contrary, our data... View Details
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
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 targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- TeachingInterests
Managing the Future of Work (MBA Education—Elective Curriculum)
The nature and scope of work is changing rapidly, creating massive business challenges in the shadow of broader political and social shifts. HBS launched a major initiative in 2017 on Managing the Future of Work to define these workplace issues and... View Details
- 06 Jan 2011
- What Do You Think?
How Should Management Deal With “Anonymous”?
individuals using the tools?" Rather the problem for many of you is management itself, ranging from lack of transparency (Shantha Yahanpath. Bruce Watson) to a failure to support "whistle blowing" (Ratnaja Gogula), as well... View Details
Keywords: by James L. Heskett
- April 2014 (Revised March 2015)
- Case
GE and the Industrial Internet
By: Karim R. Lakhani, Marco Iansiti and Kerry Herman
CEO Jeff Immelt considers whether GE is moving fast enough on its new Industrial Internet initiative. The undertaking includes building out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients... View Details
Keywords: Technology; Operations Management; Strategy; Big Data; Business Analysis; Corporate Strategy; Digital Technology; Digital Innovation; General Management; General Strategy; Global Competitiveness; Global Strategy; Innovation; Innovation And Management; Industrial Internet; GE; Innovation and Invention; Information Technology; Analytics and Data Science; Air Transportation Industry; Energy Industry; Health Industry; Industrial Products Industry; Information Technology Industry; Manufacturing Industry; Medical Devices and Supplies Industry; Rail Industry; Transportation Industry; Technology Industry; North and Central America; Asia; Europe; Middle East; Latin America
Lakhani, Karim R., Marco Iansiti, and Kerry Herman. "GE and the Industrial Internet." Harvard Business School Case 614-032, April 2014. (Revised March 2015.)
- 05 Dec 2012
- What Do You Think?
Should Managers Bother Listening to Predictions?
Summing Up Can Managers Afford to Ignore Predictions in Planning? There is a healthy skepticism when it comes to the reliability of predictions as a basis for planning. Donald Kortalon, commenting on this month's column, cites a number of... View Details
Keywords: by James Heskett
- 2016
- Book
Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work
Part of a manager's job is making tough calls, and the hardest challenge can be resolving "gray area” problems—situations in which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their... View Details
Badaracco, Joseph L. Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work. Harvard Business Review Press, 2016.
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- March 2023
- Supplement
Allianz Türkiye (C): Managing the 2017 Hail Storm
By: John D. Macomber and Fares Khrais
Allianz Turkey is a property casualty insurance company operating in a region experiencing increasing losses from natural catastrophe events related to climate change, for example hail, wildfire, and flooding. There are also substantial other natural catastrophe... View Details
Keywords: Insurance And Reinsurance; Natural Disasters; Turkey; Insurance; Climate Change; Analytics and Data Science; Insurance Industry; Financial Services Industry; Turkey
Macomber, John D., and Fares Khrais. "Allianz Türkiye (C): Managing the 2017 Hail Storm." Harvard Business School Supplement 223-084, March 2023.
- May 2018
- Case
The Multiple Myeloma Research Foundation's Answer Fund
By: Richard G. Hamermesh and Matthew G. Preble
Keywords: Data Analytics; Customer Focus and Relationships; Customer Relationship Management; Cost vs Benefits; Investment Return; Health Care and Treatment; Innovation Leadership; Intellectual Property; Knowledge Sharing; Knowledge Dissemination; Leadership; Leading Change; Resource Allocation; Goals and Objectives; Marketing Communications; Performance; Programs; Projects; Business and Community Relations; Business and Stakeholder Relations; Networks; Partners and Partnerships; Research and Development; Genetics; Behavior; Motivation and Incentives; Social and Collaborative Networks; Nonprofit Organizations; Strategy; Health Industry; Pharmaceutical Industry; Biotechnology Industry; United States
- 07 Mar 2016
- HBS Seminar
Scott Stern, MIT Sloan School of Management
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- January 2022
- Article
Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems
By: David R. Clough and Andy Wu
Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh, Sarah McAra and Christian Godwin
In 2015, Apple CEO Tim Cook debuted the iPhone 6S with enhanced security measures that enflamed a debate on privacy and public safety around the world. The iPhone 6S, amid a heightened concern for privacy following the 2013 revelation of clandestine U.S. surveillance... View Details
Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; National Security; Law; Law Enforcement; Leadership; Markets; Safety; Social Issues; Corporate Social Responsibility and Impact; Civil Society or Community; Mobile and Wireless Technology; Technology Industry; Consumer Products Industry; Telecommunications Industry; Electronics Industry; United States; China; Hong Kong
McGee, Henry, Nien-hê Hsieh, Sarah McAra, and Christian Godwin. "Apple: Privacy vs. Safety (A)." Harvard Business School Case 321-004, February 2021.
- 1979
- Chapter
Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why
By: T. M. Amabile and W. DeJong
- March 2017 (Revised March 2022)
- Case
Flashion: Art vs. Science in Fashion Retailing
By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)