Filter Results:
(689)
Show Results For
- All HBS Web
(1,330)
- People (20)
- News (193)
- Research (689)
- Events (5)
- Multimedia (11)
- Faculty Publications (307)
Show Results For
- All HBS Web
(1,330)
- People (20)
- News (193)
- Research (689)
- Events (5)
- Multimedia (11)
- Faculty Publications (307)
Sort by
- 2007
- Working Paper
Fair (and Not So Fair) Division
By: John W. Pratt
Drawbacks of existing procedures are illustrated and a method of efficient fair division is proposed that avoids them. Given additive participants' utilities, each item is priced at the geometric mean (or some other function) of its two highest valuations. The... View Details
Pratt, John W. "Fair (and Not So Fair) Division." Harvard Business School Working Paper, No. 08-016, September 2007.
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
doctoral student at the University of Chicago. The ‘state’ of the price gap matters Economists generally use two main data models to detect inflation and predict the pace at which retailers raise prices: time dependent and state... View Details
- December 2022
- Article
The Rise of People Analytics and the Future of Organizational Research
By: Jeff Polzer
Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details
Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees
Polzer, Jeff. "The Rise of People Analytics and the Future of Organizational Research." Art. 100181. Research in Organizational Behavior 42 (December 2022). (Supplement.)
- December 2007
- Article
Fair (and Not So Fair) Division
By: John W. Pratt
Drawbacks of existing procedures are illustrated and a method of efficient fair division is proposed that avoids them. Given additive participants' utilities, each item is priced at the geometric mean (or some other function) of its two highest valuations. The... View Details
Pratt, John W. "Fair (and Not So Fair) Division." Journal of Risk and Uncertainty 35, no. 3 (December 2007).
- August 2009 (Revised January 2012)
- Case
Steel Street
By: Arthur I Segel, William J. Poorvu, Ben Creo and Justin Seth Ginsburgh
The case involves repositioning an old 6-story warehouse in Pittsburgh and many of the issues of rehabilitation and selecting and managing the development team especially in a world of capital market uncertainty. The case also demonstrates the alignment of interests of... View Details
Keywords: Construction; Capital Markets; Financial Management; Investment; Property; Urban Development; Real Estate Industry; Pittsburgh
Segel, Arthur I., William J. Poorvu, Ben Creo, and Justin Seth Ginsburgh. "Steel Street." Harvard Business School Case 210-010, August 2009. (Revised January 2012.)
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- August 2015 (Revised January 2017)
- Technical Note
From Correlation to Causation
By: Feng Zhu and Karim R. Lakhani
To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details
Zhu, Feng, and Karim R. Lakhani. "From Correlation to Causation." Harvard Business School Technical Note 616-009, August 2015. (Revised January 2017.)
- Article
Bilateral Contracts
By: Jerry R. Green and Seppo Honkapohja
A mathematical characterization of self-enforcing bilateral contracts is given. Contracts where both parties exercise some control over the quantity traded can sometimes be superior to contracts that rest control entirely with one side. Some qualitative characteristics... View Details
Green, Jerry R., and Seppo Honkapohja. "Bilateral Contracts." Journal of Mathematical Economics 11, no. 2 (1983): 171–187.
- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- Article
Valuation of Bankrupt Firms
By: S. C. Gilson, E. S. Hotchkiss and R. S. Ruback
This study compares the market value of firms that reorganize in bankruptcy with estimates of value based on management's published cash flow projections. We estimate firm values using models that have been shown in other contexts to generate relatively precise... View Details
Gilson, S. C., E. S. Hotchkiss, and R. S. Ruback. "Valuation of Bankrupt Firms." Review of Financial Studies 13, no. 1 (Spring 2000): 43–74. (Abridged version reprinted in The Journal of Corporate Renewal 13, no. 7 (July 2000))
- March 1992 (Revised March 1998)
- Case
Adam Opel AG (B)
By: Hugo Uyterhoeven
Should General Motors make a strategic manufacturing investment in East Germany after becoming number one in this market through an aggressive marketing strategy? The proposal, dependent on government assistance and based on a number of uncertain economic assumptions,... View Details
Keywords: Transformation; Investment; Government and Politics; Leadership; Marketing Strategy; Production; Organizational Structure; Strategy; Germany
Uyterhoeven, Hugo. "Adam Opel AG (B)." Harvard Business School Case 392-101, March 1992. (Revised March 1998.)
- Research Summary
Optimal Heteroskedasticity Autocorrelation Consistent Covariance Estimators for GMM Weighting Matrices
This paper considers the optimal bias-variance tradeoff for estimators of the long run covariance matrix used to generate GMM weighting matrices in time series contexts. Minimum MSE HAC estimators do not yield minimum MSE GMM estimators. Instead, achieving... View Details
- 22 Nov 2023
- Research & Ideas
Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle
Knowing when to use artificial intelligence and when to rely on the human mind is a shifting fine line, one delineated by new research that shows considerable benefit and speed from generative AI—if it’s applied to the right tasks. What... View Details
- October 2013
- Case
Decision Making at the Top: The All-Star Sports eBusiness Division
By: David A. Garvin and Michael A. Roberto
Describes a senior management team's strategic decision-making process. The division president faces three options for redesigning the process to address several key concerns. The president has extensive quantitative and qualitative data about the process to guide him... View Details
Keywords: Decision Choices and Conditions; Management Teams; Performance Improvement; Planning; Mathematical Methods; Strategy
Garvin, David A., and Michael A. Roberto. "Decision Making at the Top: The All-Star Sports eBusiness Division." Harvard Business School Case 314-010, October 2013.
- 19 Sep 2023
- HBS Case
How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?
The dizzying explosion of generative artificial intelligence platforms has been the big business story of the past year, but how they’ll make money and how smart companies can use them wisely are the questions that will dominate the next... View Details
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- October 1997 (Revised May 1998)
- Case
Decision Making at the Top: The All-Star Sports Catalog Division
By: David A. Garvin and Michael Roberto
Describes a senior management team's strategic decision-making process. The division president faces three options for redesigning the process to address several key concerns. The president has extensive quantitative and qualitative data about the process to guide him... View Details
Keywords: Decision Choices and Conditions; Management Teams; Performance Improvement; Planning; Mathematical Methods; Strategy
Garvin, David A., and Michael Roberto. "Decision Making at the Top: The All-Star Sports Catalog Division." Harvard Business School Case 398-061, October 1997. (Revised May 1998.)
- June 2019
- Article
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming expert center on cultivating an analytic mindset. In the present research the authors explore... View Details
Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Journal of Consumer Research 46, no. 1 (June 2019): 1–19.
- March 2022 (Revised March 2024)
- Case
Hometown Foods: Changing Price amid Inflation
During the early part of the 2021 Covid-19 pandemic, Hometown Foods, a large seller of flour-based products, thrived as consumers hoarded baked goods and took up baking to pass the time and find comfort. Then, amid growing shortages in commodities, a vaccine arrived,... View Details
Keywords: COVID-19 Pandemic; Consumer Behavior; Supply Chain; Inflation and Deflation; Spending; Price Bubble; Price; Volatility; Food and Beverage Industry
De Freitas, Julian, Jeremy Yang, and Das Narayandas. "Hometown Foods: Changing Price amid Inflation." Harvard Business School Case 522-087, March 2022. (Revised March 2024.)