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Show Results For
- All HBS Web
(3,434)
- People (1)
- News (917)
- Research (2,087)
- Events (7)
- Multimedia (37)
- Faculty Publications (1,062)
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- 18 Aug 2010
- Working Paper Summaries
The Role of Organizational Scope and Governance in Strengthening Private Monitoring
Keywords: by Lamar Pierce & Michael W. Toffel
- 25 Jan 2016
- Working Paper Summaries
Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment
- 14 Jan 2010
- Working Paper Summaries
Optimal Auction Design and Equilibrium Selection in Sponsored Search Auctions
Keywords: by Benjamin G. Edelman & Michael Schwarz
- 16 Nov 2016
- Research & Ideas
Turning One Thousand Customers into One Million
soliciting feedback from its most loyal and vocal customers” As impressive as that accomplishment was, 1,000 customers is hardly enough to ensure long-run success. For that, these companies had to scale up dramatically, from 1,000 to over 1 million, which is the... View Details
- 28 Jan 2014
- Working Paper Summaries
Digital Discrimination: The Case of Airbnb.com
- May 2024 (Revised May 2024)
- Case
Market by Met Council: Revolutionizing Food Pantries in the Digital Age
By: Elisabeth Paulson and Michael W. Toffel
In fall 2023, the Food Program of Met Council—America’s largest Jewish charity dedicated to fighting poverty—completed the rollout of the newest version of its digital pantry platform to twelve food pantries in the Met Council food pantry network. The digital... View Details
Keywords: Customer Focus and Relationships; Digital Transformation; Nonprofit Organizations; Service Operations; Human Needs
Paulson, Elisabeth, and Michael W. Toffel. "Market by Met Council: Revolutionizing Food Pantries in the Digital Age." Harvard Business School Case 624-060, May 2024. (Revised May 2024.)
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and... View Details
Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- 16 Jul 2008
- Op-Ed
What Should Employers Do about Health Care?
of health insurance obligations. But by disengaging, employers lose much of their ability to influence the costs of poor health. This is what many European companies have discovered. In Sweden, for example, excessive rates of absenteeism... View Details
- 2012
- Article
Evidence for the Pinocchio Effect: Linguistic Differences Between Lies, Deception by Omissions, and Truths
By: Lyn M. Van Swol, Michael T. Braun and Deepak Malhotra
The study used Linguistic Inquiry and Word Count and Coh-Metrix software to examine linguistic differences with deception in an ultimatum game. In the game, the Allocator was given an amount of money to divide with the Receiver. The Receiver did not know the precise... View Details
Van Swol, Lyn M., Michael T. Braun, and Deepak Malhotra. "Evidence for the Pinocchio Effect: Linguistic Differences Between Lies, Deception by Omissions, and Truths." Discourse Processes 49, no. 2 (2012): 79–106.
- 03 Dec 2010
- Working Paper Summaries
Creating Leaders: An Ontological Model
- 23 Sep 2009
- Working Paper Summaries
Operational Failures and Problem Solving: An Empirical Study of Incident Reporting
- 31 Oct 2004
- Research & Ideas
The New CEO’s Wrong Message
Bearing full responsibility for a company's success or failure, but being unable to control most of what will determine it. Having more authority than anyone else in the organization, but being unable to wield it without unhappy consequences. Sound like a tough job? It... View Details
- 10 Sep 2009
- Working Paper Summaries
Feeling Good about Giving: The Benefits (and Costs) of Self-Interested Charitable Behavior
- 25 May 2007
- Working Paper Summaries
Self-Regulatory Institutions for Solving Environmental Problems: Perspectives and Contributions from the Management Literature
Keywords: by Andrew King & Michael W. Toffel
- 2003
- Working Paper
Ensure Your Survival by Leading an Organization Wide Conversation That Matters
By: Michael Beer and Russell Eisenstat
- 19 Apr 2016
- Working Paper Summaries
The Great Training Robbery
- 2021
- Working Paper
International Evidence on the Effects of a Local Presence by U.S. Credit Rating Agencies
By: Liran Eliner, Michael Machokoto and Anywhere Sikochi
Major U.S. credit rating agencies are criticized for failing to understand developments in other economies and thereby impeding capital access by assigning lower ratings. Consistent with this, we find that Moody's and S&P credit ratings are more favorable after the... View Details
Keywords: Credit Rating Agencies; Credit Ratings; Rating Adjustments; Rating Disagreement; Geographic Proximity; Soft Information; Credit; Geographic Location; Local Range
Eliner, Liran, Michael Machokoto, and Anywhere Sikochi. "International Evidence on the Effects of a Local Presence by U.S. Credit Rating Agencies." Harvard Business School Working Paper, No. 20-083, February 2020. (Revised August 2021.)
- 24 Sep 2009
- Working Paper Summaries
“I read Playboy for the articles”: Justifying and Rationalizing Questionable Preferences
Keywords: by Zoë Chance & Michael I. Norton
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- 26 Apr 2012
- Working Paper Summaries