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Show Results For
- All HBS Web
(1,111)
- News (185)
- Research (737)
- Events (5)
- Multimedia (18)
- Faculty Publications (486)
- 12 PM – 1 PM EST, 09 Feb 2017
- Webinars: Career
Leading Diversity: What Top Managers Need to Know
Workforce diversity is a reality. If you are not addressing the challenges of a diverse workforce today, then demographic change, globalization, the purchasing power and demands of diversity markets, as well as the advantages of a diverse workforce mean that you will... View Details
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 14 Nov 2012
- News
Wonks dust off radical revenue-raising ideas
- November–December 2020
- Article
Getting Serious About Diversity: Enough Already with the Business Case
By: Robin Ely and David A. Thomas
Leaders may mean well when they tout the economic payoffs of hiring more women and people of color, but there is no research support for the notion that diversifying the workforce automatically improves a company’s performance. This article critiques the popular... View Details
Ely, Robin, and David A. Thomas. "Getting Serious About Diversity: Enough Already with the Business Case." Harvard Business Review 98, no. 6 (November–December 2020): 114–122. (Winner, McKinsey Best Paper Award, 2021. Winner, Academy of Management, Organizational Behavior Division, Outstanding Practitioner-Orientated Publication in OB, 2021.)
- November 2019 (Revised February 2020)
- Case
Starbucks: Reaffirming Commitment to the Third Place Ideal
By: Francesca Gino, Katherine B. Coffman and Jeff Huizinga
On April 12, 2018, two African American entrepreneurs had scheduled a business meeting at a Starbucks in Philadelphia’s Rittenhouse Square neighborhood. They sat without ordering, waiting for a local businessman to show up for the meeting. The store manager called 911... View Details
Keywords: Mission and Purpose; Values and Beliefs; Prejudice and Bias; Crisis Management; Employees; Training
Gino, Francesca, Katherine B. Coffman, and Jeff Huizinga. "Starbucks: Reaffirming Commitment to the Third Place Ideal." Harvard Business School Case 920-016, November 2019. (Revised February 2020.)
- Research Summary
Time-Varying Volatility Risk Premia
This paper provides evidence for the existence of time-varying volatility risk premia. In doing so, it examines the evolution of the implied volatility bias in the S&P 100 from 1986-2006. Additionally, the paper proves three new results regarding the limiting... View Details
- 08 Mar 2021
- Video
A message to men on International Women’s Day
- November 1990 (Revised August 1996)
- Background Note
Sampling and Statistical Inference
An introduction to sampling and statistical inference that covers the main concepts (confidence intervals, tests of statistical significance, choice of sample size) that are needed in making inferences about a population mean or percent. Includes discussion of problems... View Details
Schleifer, Arthur, Jr. "Sampling and Statistical Inference." Harvard Business School Background Note 191-092, November 1990. (Revised August 1996.)
- 15 Aug 2012
- News
Will Working Mothers Take Your Company to Court?
- 07 Dec 2010
- News
Social Science Palooza
Rafael M. Di Tella
I received my first degree in Economics in 1990 from the Universidad de Buenos Aires, Argentina and a D.Phil in Economics from Oxford University in 1996. After a short stay in Argentina I joined Harvard Business School in July 1997, where I... View Details
- October 1994 (Revised January 2007)
- Case
Goodyear Tire & Rubber Company, 1986
By: Timothy A. Luehrman and Joanne C. Chng
Goodyear's transition to radial tires from bias and bias-belted tires was difficult and expensive, but successful. Afterward, in 1983, the company embarked on a major diversification program. Three years later, after investments exceeding $1 billion in oil and gas... View Details
Luehrman, Timothy A., and Joanne C. Chng. "Goodyear Tire & Rubber Company, 1986." Harvard Business School Case 295-033, October 1994. (Revised January 2007.)
- 04 Feb 2015
- News
The cleaner who soared all the way to the board
- November–December 2021
- Article
Does Gender Matter? The Effect of Management Responses on Reviewing Behavior
By: Davide Proserpio, Isamar Troncoso and Francesca Valsesia
We study the effect of management responses on the reviewing behavior of self-identified female and male reviewers. Using data from Tripadvisor, we show that after hotels begin to respond to reviews, the probability that a negative review comes from a self-identified... View Details
Keywords: Word Of Mouth; Online Reviews; Management Responses; E-commerce; Gender; Prejudice and Bias; Digital Platforms; Customers
Proserpio, Davide, Isamar Troncoso, and Francesca Valsesia. "Does Gender Matter? The Effect of Management Responses on Reviewing Behavior." Marketing Science 40, no. 6 (November–December 2021): 1199–1213.
- 2011
- Article
Strike Three: Discrimination, Incentives, and Evaluation
By: Christopher Parsons, J. Sulaeman, M. Yates and D. Hamermesh
Major League Baseball umpires express their racial/ethnic preferences when they evaluate pitchers. Strikes are called less often if the umpire and pitcher do not match race/ethnicity, but mainly where there is little scrutiny of umpires. Pitchers understand the... View Details
Keywords: Wages; Motivation and Incentives; Prejudice and Bias; Ethnicity; Race; Performance Productivity; Sports; Sports Industry
Parsons, Christopher, J. Sulaeman, M. Yates, and D. Hamermesh. "Strike Three: Discrimination, Incentives, and Evaluation." American Economic Review 101, no. 4 (June 2011): 1410–1435.
8 Questions About Using AI Responsibly, Answered
Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your... View Details
- 13 Nov 2018
- First Look
New Research and Ideas, November 13, 2018
their investments in compliance. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=55233 forthcoming Organization Science Who Loses When a Team Wins? Better Performance Increases Racial Bias By: Zhang, Letian... View Details
Keywords: Dina Gerdeman
- December 2018 (Revised May 2019)
- Case
Bord Bia: Strategically Growing Irish Exports
By: Jose B. Alvarez, Forest L. Reinhardt and Emer Moloney
Agriculture was Ireland’s largest indigenous industry. Its agri-food sector was export driven, with almost 90% of production exported. Bord Bia was the Irish government agency charged with the promotion, trade development, and marketing of the Irish food, drink, and... View Details
Keywords: Agribusiness; Trends; Disruption; Communication Strategy; Experience and Expertise; Talent and Talent Management; Public Sector; Trade; Education; Food; Geography; Geographic Location; Rural Scope; Corporate Governance; Government Administration; Information; Knowledge Dissemination; Marketing Channels; Brands and Branding; Marketing Communications; Marketing Strategy; Planning; Business and Government Relations; Environmental Sustainability; Public Opinion; Business Strategy; Diversification; Agriculture and Agribusiness Industry; Food and Beverage Industry; Public Administration Industry; Retail Industry; Republic of Ireland; United Kingdom; Europe
Alvarez, Jose B., Forest L. Reinhardt, and Emer Moloney. "Bord Bia: Strategically Growing Irish Exports." Harvard Business School Case 519-043, December 2018. (Revised May 2019.)
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; 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
- August 2006
- Article
Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
Many studies find that aggregate managerial decision variables, such as aggregate equity issuance, predict stock or bond market returns. Recent research argues that these findings may be driven by an aggregate time-series version of Schultz's (2003, Journal of Finance... View Details
Keywords: Prejudice and Bias; Fairness; Managerial Roles; Management Analysis, Tools, and Techniques; Equity; Bonds; Financial Markets; Investment; Capital Markets; Borrowing and Debt; Investment Return
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?" Journal of Finance 61, no. 4 (August 2006): 1711–1730. (Section V of "Pseudo Market Timing and Predictive Regressions, NBER Working Paper Series, No. 10823, contains additional analyses.)