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- All HBS Web (1,245)
- Faculty Publications (374)
- 28 Feb 2022
- Research & Ideas
How Racial Bias Taints Customer Service: Evidence from 6,000 Hotels
of the information that people received varied.” Concierges provide less information to some customers Testing each of the return emails for responsiveness, helpfulness, and rapport, the researchers counted the number of restaurants... View Details
Keywords: by Pamela Reynolds
- August 2010
- Article
Sell-Side School Ties
By: Lauren H. Cohen, Christopher J. Malloy and Andrea Frazzini
We study the impact of social networks on agents' ability to gather superior information about firms. Exploiting novel data on the educational backgrounds of sell-side equity analysts and senior officers of firms, we test the hypothesis that analysts' school ties to... View Details
Keywords: Investment Return; Investment Portfolio; Corporate Disclosure; Governing Rules, Regulations, and Reforms; Knowledge Acquisition; Social and Collaborative Networks
Cohen, Lauren H., Christopher J. Malloy, and Andrea Frazzini. "Sell-Side School Ties." Journal of Finance 65, no. 4 (August 2010): 1409–1437. (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2010.)
- October 2006 (Revised August 2007)
- Case
Calloway Laboratory: Pee for Profit
By: Richard G. Hamermesh and David Kiron
Describes the formation and rapid growth of a drug-testing company. The company needs to decide whether to enter the painkiller testing market, in addition to growing its drug treatment center business. View Details
Keywords: For-Profit Firms; Health Care and Treatment; Health Testing and Trials; Growth and Development Strategy; Market Entry and Exit; Health Industry
Hamermesh, Richard G., and David Kiron. "Calloway Laboratory: Pee for Profit." Harvard Business School Case 807-040, October 2006. (Revised August 2007.)
- 28 Aug 2008
- Working Paper Summaries
How Can Decision Making Be Improved?
- January 2011 (Revised March 2011)
- Case
Predictive Biosciences
By: Thomas R. Eisenmann, Jeffrey J. Bussgang and David Kiron
A small cancer diagnostics start-up is deciding whether to acquire a laboratory to make and sell its bladder cancer test or build its own manufacturing and sales team. View Details
Keywords: Mergers and Acquisitions; Factories, Labs, and Plants; Business Startups; Entrepreneurship; Health Testing and Trials; Growth and Development Strategy; Product Development; Biotechnology Industry
Eisenmann, Thomas R., Jeffrey J. Bussgang, and David Kiron. "Predictive Biosciences." Harvard Business School Case 811-015, January 2011. (Revised March 2011.)
- 15 Feb 2022
- News
How Managers Can Build a Culture of Experimentation
- 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.)
- January 2014 (Revised June 2015)
- Case
Amgen Inc.: Pursuing Innovation and Imitation? (A)
By: Ian W. Mackenzie
Set in 2009, the (A) case explores whether Amgen, a leading innovator of biotech-based drugs, should enter the emerging business of biosimilars (BS), which are essentially 'me-too' products. There appear to be sound reasons to explore this related diversification:... View Details
Mackenzie, Ian W. "Amgen Inc.: Pursuing Innovation and Imitation? (A)." Harvard Business School Case 714-424, January 2014. (Revised June 2015.)
- 01 Dec 2003
- Research & Ideas
Sometimes Success Begins at Failure
In the late 1980s, scientists for New York City-based drug-maker Pfizer began testing what was then known as compound UK-92,480 for the treatment of angina. Although UK-92,480 seemed promising in the lab and in animal tests, the compound... View Details
- September 2019
- Supplement
pymetrics (B)
By: John R. Wells and Benjamin Weinstock
In March 2013, pymetrics CEO Frida Polli visited Harvard Business School to listen to a section of MBA students from the class of 2013 discuss her business plan and provide feedback on the tests they had taken to identify career opportunities. Polli had developed a... View Details
Keywords: BrainTech; Hiring; Hiring Of Employees; Recruiting; Personality; Personality Traits; Startup; Start-up; Startups; Start-ups; Employment; Strategic Evolution; Psychodynamics; Psychology; Recruitment; Selection and Staffing; Business Startups; Strategy; Personal Characteristics
Wells, John R., and Benjamin Weinstock. "pymetrics (B)." Harvard Business School Supplement 720-375, September 2019.
- 18 Apr 2000
- Research & Ideas
Learning in Action
"The most effective learning strategy depends on the situation," writes David A. Garvin. "There is no stock answer, nor is there a single best approach." In Learning in Action, he illustrated the diversity of learning organization View Details
Keywords: by David A. Garvin
- 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 1989 (Revised September 1992)
- Case
Dominion Motors & Controls Ltd.
The leading manufacturer of motors in Canada is threatened by a loss of market share in oilfield pumping motors because a major customer, having tested several competing motor brands, finds a competitor's motor to be superior. A central issue is whether to make a... View Details
Corey, E. R. "Dominion Motors & Controls Ltd." Harvard Business School Case 589-115, June 1989. (Revised September 1992.)
- December 2021
- Case
Green Monday
By: José B. Alvarez, Billy Chan and Dawn H. Lau
This case describes the entrepreneurial journey of David Yeung, from campaigning for plant-based diets to building Green Monday, a purpose-driven business and an ecosystem based in Hong Kong comprising a retail platform, an alternative meat brand (“OmniPork”), a... View Details
Keywords: Agribusiness; Plant-Based Agribusiness; Social Enterprise; Entrepreneurship; Business Startups; Business Model; Mission and Purpose; Growth and Development Strategy; Agriculture and Agribusiness Industry; Food and Beverage Industry; Retail Industry; Hong Kong; China; Asia
Alvarez, José B., Billy Chan, and Dawn H. Lau. "Green Monday." Harvard Business School Case 522-056, December 2021.
- 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.)
- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
- 2024
- Working Paper
Antibiotic Treatments for Ulcers--Eradicating H-Pylori Infections: Case Histories of Transformational Advances
By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
This case history describes how a chance discovery of bacteria that infect stomach linings completely changed how physicians treat ulcers. Specifically, we chronicle how: 1) two Australian physicians brought the bacterial infection to the world’s attention and... View Details
Keywords: Health Care and Treatment; Technological Innovation; Innovation Strategy; Technology Adoption; Collaborative Innovation and Invention; Innovation and Invention; Governing Rules, Regulations, and Reforms
Bhidé, Amar, Srikant M. Datar, and Katherine Stebbins. "Antibiotic Treatments for Ulcers--Eradicating H-Pylori Infections: Case Histories of Transformational Advances." Harvard Business School Working Paper, No. 20-006, July 2019. (Revised May 2024.)
- April 2009 (Revised August 2009)
- Case
Backchannelmedia: Making Television 'Clickable'
By: Sunil Gupta, Kavita Shukla and Zachary Scott Clayton
Backchannelmedia (BCM), a three-year-old start-up, intended to completely disrupt the world of advertising by transforming the way Americans watched television. BCM had developed a technology to make television "clickable," enabling viewers to interact with the content... View Details
Keywords: Entrepreneurship; Investment; Disruptive Innovation; Technological Innovation; Marketing Strategy; Partners and Partnerships; Competition
Gupta, Sunil, Kavita Shukla, and Zachary Scott Clayton. "Backchannelmedia: Making Television 'Clickable'." Harvard Business School Case 509-026, April 2009. (Revised August 2009.)
- August 2014 (Revised December 2015)
- Case
Showrooming at Best Buy
By: Thales Teixeira and Elizabeth Anne Watkins
Best Buy is a consumer electronics retailer with nearly 2,000 stores worldwide. In 2012, the rising popularity of price-matching apps for mobile phones made price differences between retailers transparent, online and offline. Shoppers' desire to test electronics... View Details
Keywords: Competition; Price; Consumer Behavior; Applications and Software; Mobile and Wireless Technology; Retail Industry; Electronics Industry
Teixeira, Thales, and Elizabeth Anne Watkins. "Showrooming at Best Buy." Harvard Business School Case 515-019, August 2014. (Revised December 2015.)