Filter Results:
(8,456)
Show Results For
- All HBS Web
(8,456)
- People (24)
- News (2,294)
- Research (5,506)
- Events (10)
- Multimedia (260)
- Faculty Publications (4,063)
Show Results For
- All HBS Web
(8,456)
- People (24)
- News (2,294)
- Research (5,506)
- Events (10)
- Multimedia (260)
- Faculty Publications (4,063)
- 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.)
- 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.)
- 17 Dec 2021
- News
America Wants to Make Its Own Chips Again. Is That a Good Idea?
- 2016
- Working Paper
Financing Payouts
By: Joan Farre-Mensa, Roni Michaely and Martin Schmalz
We study the extent to which firms rely on the capital markets to fund their payouts. We find that 42% of firms that pay out capital also initiate debt or equity issues in the same year, resulting in 32% of aggregate payouts being externally financed. Most firms with... View Details
Keywords: Payout Policy; Financing Decisions; Debt Issues; Equity Issues; Capital Structure; Decision Making; Financing and Loans; Corporate Finance
Farre-Mensa, Joan, Roni Michaely, and Martin Schmalz. "Financing Payouts." Harvard Business School Working Paper, No. 15-049, December 2014. (Revised December 2016.)
- 04 May 2021
- News
A Return to the Office Is a Great Chance to Make a Fresh Start
- December 2003
- Article
Focusing Failures in Competitive Environments: Explaining Decision Errors in the Monty Hall Game, the Acquiring a Company Problem, and Multiparty Ultimatums
By: Avishalom Tor and Max H. Bazerman
Tor, Avishalom, and Max H. Bazerman. "Focusing Failures in Competitive Environments: Explaining Decision Errors in the Monty Hall Game, the Acquiring a Company Problem, and Multiparty Ultimatums." Journal of Behavioral Decision Making 16, no. 5 (December 2003): 353–374.
- Research Summary
Institutions and Corporate Lobbying
“Institutions and Make-or-Buy Decision of Lobbying: The Role of Sociopolitical Legitimacy on Foreign MNEs’ Lobbying Internalization”
In this study, I examine how legitimacy comes into play in foreign MNEs’ make-or-buy decisions... View Details
Keywords: Institutions; Make V. Buy; Lobbying; Legitimacy; Corruption; Culture; Multinational Enterprise; United States
- Research Summary
Corporate Lobbying Strategy and Foreign MNEs
“U.S. Defense Contracts and the Lobbying Strategies of Foreign MNEs: The Liability of Foreignness and Make-or-Buy Decisions about Political Goods”
Many firms engage in lobbying with the expectation that their lobbying efforts will... View Details
- 14 Jul 2021
- Blog Post
From Colombia to the District of Columbia: Making an Impact with Paulina Llano (MBA 2022)
herself in Boston at Harvard Business School and is spending the summer interning for a Cambridge-based pharmaceutical and biotech company that has become a household name – Moderna. The contributions Llano will be making to the team and... View Details
Keywords: Health Care
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
- September 2024
- Case
Board Director Dilemmas: The Tradeoffs of Board Selection
By: David G. Fubini, Suraj Srinivasan and Patrick Sanguineti
After retiring from a long and successful career in financial auditing, Linda McGill looked forward to the prospect of joining a board. She felt the time was right to leverage the breadth of her experience while fulfilling one of her long-term goals. Though somewhat of... View Details
Keywords: Board Decisions; Corporate Boards; Board Networks; Cost vs Benefits; Governing and Advisory Boards; Retirement
Fubini, David G., Suraj Srinivasan, and Patrick Sanguineti. "Board Director Dilemmas: The Tradeoffs of Board Selection." Harvard Business School Case 425-023, September 2024.
- 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
Lu, Michelle Y., and Navid Mojir. "CRM and AI in Time of Crisis." Harvard Business School Working Paper, No. 22-035, November 2021.