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Show Results For
- All HBS Web
(6,804)
- People (1)
- News (2,519)
- Research (3,713)
- Events (51)
- Multimedia (75)
- Faculty Publications (2,681)
- 2023
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
- December 2022
- Article
The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance
This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details
Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
- March 16, 2021
- Article
From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles
By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing
complex autonomous systems with ethically acceptable behavior. We... View Details
Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning
De Freitas, Julian, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony, and Emilio Frazzoli. "From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles." Proceedings of the National Academy of Sciences 118, no. 11 (March 16, 2021).
- Article
Liquidity Provision and Stock Return Predictability
By: Mark Seasholes and Terrence Hendershott
This paper examines the trading behavior of two groups of liquidity providers (specialists and competing market makers) using a six-year panel of NYSE data. Trades of each group are negatively correlated with contemporaneous price changes. To test for return... View Details
Keywords: Liquidity; Market Makers; Market Efficiency; Inventory; Liquidity Provision; Market Design; Financial Liquidity; Stocks; Investment Return
Seasholes, Mark, and Terrence Hendershott. "Liquidity Provision and Stock Return Predictability." Journal of Banking & Finance 45 (August 2014): 140–151.
- 2014
- Chapter
Schumpeter's Plea: Historical Reasoning in Entrepreneurial Theory and Research
By: G. Jones and R. Daniel Wadhwani
This chapter draws on theories of entrepreneurship and history to explore the ways in which historical processes play an integral role in entrepreneurship. It builds off the plea by Joseph Schumpeter for an active exchange between historical approaches and theories of... View Details
Jones, G., and R. Daniel Wadhwani. "Schumpeter's Plea: Historical Reasoning in Entrepreneurial Theory and Research." Chap. 8 in Organizations in Time: History, Theory, Methods, edited by Marcelo Bucheli and R. Daniel Wadhwani, 192–216. New York: Oxford University Press, 2014.
- November – December 2011
- Article
Competitive Strategy for Open Source Software
By: Vineet Kumar, Brett Gordon and Kannan Srinivasan
Commercial open source software (COSS) products-privately developed software based on publicly available source code-represent a rapidly growing, multibillion-dollar market. A unique aspect of competition in the COSS market is that many open source licenses require... View Details
Keywords: Applications and Software; Competitive Strategy; Product Development; Growth and Development; Markets; Motivation and Incentives; Quality; Policy; Perspective; Profit; Open Source Distribution; Emerging Markets
Kumar, Vineet, Brett Gordon, and Kannan Srinivasan. "Competitive Strategy for Open Source Software." Marketing Science 30, no. 6 (November–December 2011): 1066–1078.
Markups and Cost Passthrough Along the Supply Chain
We study markups and pricing strategies along the supply chain. Our unique dataset combines detailed price and cost information from a large global manufacturer with matched retail prices collected online for the period July 2018 through June 2023. We show that... View Details
Detecting Routines: Applications to Ridesharing CRM
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines--which we define as repeated behaviors with recurring, temporal... View Details
How Google Sold Its Engineers on Management
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
The Truth About Open Offices
It’s never been easier for workers to collaborate—or so it seems. Open, flexible, activity-based spaces are displacing cubicles, making people more visible. Messaging is displacing phone calls, making people more accessible. Enterprise social media tools are displacing... View Details
Harvard Business School Case on Wikipedia: Wikipedia (A)

On August 24, 2006, the "Enterprise 2.0" entry in the Web-based encyclopedia... View Details
- 17 Dec 2009
- Working Paper Summaries
Integrity: Without It Nothing Works
Keywords: by Michael C. Jensen
- 21 Aug 2000
- Research & Ideas
Inside the OR: Disrupted Routines and New Technologies
leadership style was a critical variable. "On the one hand, the proposition that team leader behavior fosters project success is not surprising," write Edmondson, Bohmer and Pisano. "On the other hand, deeply engrained... View Details
Keywords: by Hilah Geer
- 23 Jun 2015
- First Look
First Look: June 23, 2015
Publications Forthcoming National Bureau of Economic Research Innovation Policy and the Economy, Volume 16 By: Lerner, Josh, and Scott Stern Abstract—No abstract available. Publisher's link: http://papers.nber.org/books/lern15-1 2015 International Encyclopedia of the... View Details
Keywords: Sean Silverthorne
- 30 May 2018
- Research & Ideas
Should Retailers Match Their Own Prices Online and in Stores?
The line gets blurry for shoppers when retailers won't honor their online prices in-store. (Kwangmoozaa) While shopping for my 10-year-old daughter’s Halloween costume last October, I pulled out my smartphone and hopped online to see if the store offered the same... View Details
- 01 Oct 2007
- Research & Ideas
Encouraging Dissent in Decision-Making
Behavior unit insisted on when he took over as CEO of Medtronic, the medical-devices company, in 1991. That's in part because George had experienced firsthand what Robert McNamara warned of—George worked under McNamara for several years... View Details
Keywords: by Garry Emmons
- 15 Mar 2016
- First Look
March 15, 2016
new products and businesses. The three-box framework makes leading innovation easier because it gives leaders a simple vocabulary and set of tools for managing and measuring these different sets of behaviors and activities across all... View Details
- July 2024
- Article
How Artificial Intelligence Constrains Human Experience
By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
- April 2003 (Revised December 2010)
- Case
Leadership in Crisis: Ernest Shackleton and the Epic Voyage of the Endurance
By: Nancy F. Koehn, Erica Helms and Philip Mead
Provides an opportunity to examine leadership and entrepreneurship in the context of Ernest Shackleton's 1914 Antarctic expedition, a compelling story of crisis, survival, and triumph. Summarizes Shackleton's career as an officer in the British Merchant Marine, his... View Details
Keywords: Entrepreneurship; History; Leadership; Crisis Management; Management Practices and Processes; Groups and Teams; Behavior; Antarctica
Koehn, Nancy F., Erica Helms, and Philip Mead. "Leadership in Crisis: Ernest Shackleton and the Epic Voyage of the Endurance." Harvard Business School Case 803-127, April 2003. (Revised December 2010.)
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.