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Show Results For
- All HBS Web
(2,444)
- People (3)
- News (418)
- Research (1,697)
- Events (11)
- Multimedia (6)
- Faculty Publications (676)
- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- June 2011 (Revised May 2012)
- Case
L'Oréal: Global Brand, Local Knowledge
By: Rebecca M. Henderson and Ryan Johnson
Worldwide, and in the U.S. marketplace in particular, the French cachet of L'Oréal was one of its most powerful marketing tools. However, with the opening up of emerging markets, L'Oréal had to cater to a diverse customer base: an aging population in the West, ethnic... View Details
Keywords: Globalization; Brands and Branding; Marketing Communications; Change Management; Sales; Emerging Markets; Segmentation; Innovation and Invention; Beauty and Cosmetics Industry; France; United States
Henderson, Rebecca M., and Ryan Johnson. "L'Oréal: Global Brand, Local Knowledge." Harvard Business School Case 311-118, June 2011. (Revised May 2012.)
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Analytics and Data Science; Sports Industry; San Francisco; United States
Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised 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... View Details
- 21 Jul 2008
- Research & Ideas
Solving the Marketing Resources Allocation Puzzle
against a control group of customers. Econometric analysis of historical data: Historical data are analyzed to determine how customers have responded to different marketing actions in the past. Predictions... View Details
Keywords: by Sean Silverthorne
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
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: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- April 2002 (Revised March 2006)
- Background Note
Economics of Retail Banking Note
By: Frances X. Frei and Dennis Campbell
Explains the financial operations of retail banking, highlighting profitability challenges facing the industry. For U.S. banks, it is quite common for more than half of the customer base to be unprofitable and to have relatively few customers make up the vast majority... View Details
Keywords: Customers; Economics; Cost; Banks and Banking; Profit; Revenue; Service Operations; Banking Industry; United States
Frei, Frances X., and Dennis Campbell. "Economics of Retail Banking Note." Harvard Business School Background Note 602-153, April 2002. (Revised March 2006.)
- 26 Jun 2023
- Research & Ideas
Want to Leave a Lasting Impression on Customers? Don't Forget the (Proverbial) Fireworks
way of leaving an impression. “A strong ending can have a big impact on people’s evaluations when they look back on an experience,” says De Freitas, coauthor of the working paper “Summarizing the Mental Customer Journey.” “We ended up... View Details
- March–April 1979
- Article
How Competitive Forces Shape Strategy
By: M. E. Porter
Many factors determine the nature of competition, including not only rivals, but also the economics of particular industries, new entrants, the bargaining power of customers and suppliers, and the threat of substitute services or products. A strategic plan of action... View Details
Porter, M. E. "How Competitive Forces Shape Strategy." Harvard Business Review 57, no. 2 (March–April 1979): 137–145.
- April 1996 (Revised October 1999)
- Case
Risk of Stocks in the Long Run, The: The Barnstable College Endowment
By: Andre F. Perold
The manager of the Barnstable College Endowment is evaluating proposals to increase the endowment's exposure to stocks based on an analysis that shows stocks to be much safer over long holding periods. View Details
Keywords: Risk Management; Financial Management; Stocks; Financial Services Industry; Education Industry
Perold, Andre F. "Risk of Stocks in the Long Run, The: The Barnstable College Endowment." Harvard Business School Case 296-073, April 1996. (Revised October 1999.)
- February 2001
- Case
PlanetFeedback: The Voice of One ... The Power of Many (A)
By: James L. Heskett
The management of PlanetFeedback in proposes a merger with Intelliseek. Their goal is to create a comprehensive C2B and B2B business focused on the generation and analysis for business clients of consumer feedback data via the Internet, Planet Feedback's board of... View Details
Keywords: Mergers and Acquisitions; Decisions; Information Management; Analytics and Data Science; Business Strategy; Internet and the Web; Information Technology Industry
Heskett, James L. "PlanetFeedback: The Voice of One ... The Power of Many (A)." Harvard Business School Case 901-051, February 2001.
How did they start?
HOW TO ACQUIRE YOUR FIRST 1,000 CUSTOMERS ONLINE. Do’s and don'ts based on what worked for Uber, Airbnb and other tech startups. This slide deck goes into details of how some of of the most expected tech IPO companies of 2019 started their customer acquisition... View Details
- November 2017
- Teaching Note
Amazon.com, 2016
By: John R. Wells and Gabriel Ellsworth
Teaching Note for HBS No. 716-402.
On January 28, 2016, Amazon announced record 2015 operating profits of $2.2 billion on $107 billion of sales, and the markets responded with cautious optimism. For years, founder and CEO Jeffrey Bezos had prioritized growth and... View Details
Keywords: Strategic Analysis; Retail; E-commerce; Amazon; Amazon.com; AmazonFresh; Jeff Bezos; Cloud Computing; Marketplaces; Streaming; E-reader Market; Digital Media; Mobile App; Online Retail; Shipping; Database; Tablet; Kindle; Kindle Fire; Smartphone; Delivery; Market Platforms; Two-Sided Platforms; Competition; Internet; Corporate Strategy; Online Advertising; Business Growth and Maturation; Business Model; Business Organization; For-Profit Firms; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Television Entertainment; Profit; Revenue; Global Strategy; Multinational Firms and Management; Taxation; Business History; Human Resources; Resignation and Termination; Books; Human Capital; Working Conditions; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Practices and Processes; Industry Growth; Industry Structures; Media; Distribution; Distribution Channels; Order Taking and Fulfillment; Infrastructure; Logistics; Product Development; Supply Chain; Supply Chain Management; Organizational Culture; Public Ownership; Work-Life Balance; Problems and Challenges; Labor and Management Relations; Strategy; Adaptation; Business Strategy; Competitive Strategy; Diversification; Expansion; Integration; Horizontal Integration; Vertical Integration; Hardware; Information Technology; Mobile Technology; Online Technology; Technology Networks; Technology Platform; Web; Web Sites; Price; Software; Marketing; Marketing Strategy; Working Capital; Customer Focus and Relationships; Customer Value and Value Chain; Retail Industry; Advertising Industry; Distribution Industry; Electronics Industry; Entertainment and Recreation Industry; Information Technology Industry; Manufacturing Industry; Motion Pictures and Video Industry; Music Industry; Publishing Industry; Shipping Industry; Technology Industry; Video Game Industry; Web Services Industry; United States; Washington (state, US); Seattle
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
If knowing what customers need is marketing gold, pinpointing exactly when they need it may just be platinum. Services that become part of a customer’s routine may deliver advantages beyond repeat business for a company, Harvard Business... View Details
- July 2010 (Revised August 2012)
- Supplement
Assistant Professor Jo Worthington (B)
A professor teaching a case discussion based on numeric analysis is pleased that a student finally "cracks" the case--but the numbers differ from her own. The instructor has to decide how to handle the discrepancy. View Details
Leonard, Dorothy A. "Assistant Professor Jo Worthington (B)." Harvard Business School Supplement 911-405, July 2010. (Revised August 2012.)
- February 2001 (Revised January 2002)
- Case
Tracmail
By: Paul W. Marshall, Carin-Isabel Knoop and Suma Raju
Tracmail, an online customer service company based in India, is trying to handle support services (e-mail and chat) for companies worldwide. In its quest to break into global markets, Tracmail is contemplating a joint venture with a U.S. call center. Tracmail is also... View Details
Keywords: Salesforce Management; Globalized Firms and Management; Business Startups; Joint Ventures; Service Industry; Information Technology Industry; India; United States
Marshall, Paul W., Carin-Isabel Knoop, and Suma Raju. "Tracmail." Harvard Business School Case 801-037, February 2001. (Revised January 2002.)
- April 2013
- Article
The International Politics of IFRS Harmonization
By: Karthik Ramanna
The globalization of accounting standards as seen through the proliferation of IFRS worldwide is one of the most important developments in corporate governance over the last decade. I offer an analysis of some international political dynamics of countries' IFRS... View Details
Keywords: Accounting Standards; IASB; IFRS; Politics; International Accounting; Globalization; Standards; Corporate Governance; Canada; China; India
Ramanna, Karthik. "The International Politics of IFRS Harmonization." Accounting, Economics and Law 3, no. 2 (April 2013): 1–46. (Published in a dedicated issue of the journal together with four discussions, including two by the chairpersons of the national accounting standards bodies of France and Japan.)