Filter Results:
(329)
Show Results For
- All HBS Web (562)
- Faculty Publications (117)
Show Results For
- All HBS Web (562)
- Faculty Publications (117)
Sort by
- 28 Feb 2012
- First Look
First Look: Feb. 28
http://www.hbs.edu/research/pdf/12-070.pdf Private and Public Decisions in Social Dilemmas: Evidence from Children's Behavior Authors:Daniel Houser, Natalia Montinari, and Marco Piovesan Abstract Substantial research with adult... View Details
Keywords: Sean Silverthorne
- 28 Aug 2012
- Working Paper Summaries
Channels of Influence
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- December 2024
- Case
Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey
By: Shikhar Ghosh
In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
Keywords: AI; Machine Learning; Blue Cross; Automation; Digital Strategy; Digital Transformation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Leadership; Organizational Transformations; Technology; Non-profit; Michigan; AI and Machine Learning; Health; Health Industry; Michigan
- November 2004 (Revised March 2007)
- Case
10 Uncommon Values®: Optimizing the Stock-Selection Process
By: Paul M. Healy and Boris Groysberg
In 2003, Steve Hash, research director at Lehman Brothers, prepared to initiate the firm's "Ten Uncommon Values" stock-picking process for the year. An investment committee had to pick the 10 best stocks from about 100 stock ideas presented by the firm's analysts. The... View Details
Keywords: Stocks; Investment; Financial Strategy; Decision Making; Groups and Teams; Financial Services Industry; United States
Healy, Paul M., and Boris Groysberg. "10 Uncommon Values®: Optimizing the Stock-Selection Process." Harvard Business School Case 405-022, November 2004. (Revised March 2007.)
- 2013
- Working Paper
Inequality and Decision Making: Imagining a New Line of Inquiry
By: David Moss, Anant Thaker and Howard Rudnick
The substantial increase in inequality in the United States over the past three decades has provoked considerable debate, with some analysts characterizing rising inequality as among the greatest threats facing the nation and others dismissing it as little more than a... View Details
Keywords: Equality and Inequality; Income; Decision Making; Government and Politics; Economics; United States
Moss, David, Anant Thaker, and Howard Rudnick. "Inequality and Decision Making: Imagining a New Line of Inquiry." Harvard Business School Working Paper, No. 13-099, June 2013.
- May 2012
- Article
Complicated Firms
By: Lauren Cohen and Dong Lou
We exploit a novel setting in which the same piece of information affects two sets of firms: one set of firms requires straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into... View Details
Keywords: Investment Portfolio; Information; Price; Forecasting and Prediction; Complexity; Mathematical Methods
Cohen, Lauren, and Dong Lou. "Complicated Firms." Journal of Financial Economics 104, no. 2 (May 2012). (Winner of Istanbul Stock Exchange 25th Anniversary Best Paper Competition. First Prize presented by Istanbul Stock Exchange. Winner of Center for Research in Security Prices Forum. Best Paper Prize presented by University of Chicago Booth School of Business. Winner of Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Academic Grant presented by Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Winner of Crowell Memorial Prize For the best paper on quantitative investing presented by PanAgora Asset Management, Inc.)
- 11 Apr 2017
- First Look
First Look at New Research, April 11
forthcoming Journal of Accounting & Economics Career Concerns of Banking Analysts By: Horton, Joanne, George Serafeim, and Shan Wu Abstract—We study how career concerns influence banking analysts' forecasts and how their forecasting... View Details
- 26 Apr 2024
- HBS Case
Deion Sanders' Prime Lessons for Leading a Team to Victory
organizations to move forward.” Gibson cowrote the case with Nicole Gilmore, director of talent development at MITRE; and Alicia Dadlani, director of the Mid-US Research Center at HBS. Sanders plays in Super Bowl and World Series Even... View Details
- 16 Jul 2007
- Research & Ideas
Understanding the ‘Want’ vs. ’Should’ Decision
should purchase the used Toyota Camry. How consumers weigh those decisions is crucial information for retailers, and is the subject of recent research by Harvard Business School doctoral candidates Todd Rogers and Katy Milkman, in... View Details
- September 2010
- Article
Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?
By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
- 02 Sep 2014
- First Look
First Look: September 2
investigation into many aspects of service management. For example, while product design and development have received a great deal of attention, the subject of service design has not been very visible in the research literature. There... View Details
Keywords: Sean Silverthorne
- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity." Decision Support Systems 120 (2019): 38–49.
- Research Summary
Corporate Governance
The characteristics and structure of boards of directors have important implications for firm performance. Professor Wang has found that firms with well-connected boards whose members have strong network connections provide economic benefits that are not immediately... View Details
- 08 Feb 2016
- Research & Ideas
The Civic Benefits of Google Street View and Yelp
algorithm it generates to predict income levels based on images for which data is unavailable. When the researchers crunched those numbers, they determined that the image analysis could give a much more accurate prediction for income than... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- 04 Oct 2016
- First Look
October 4, 2016
information and instead message to shareholders and analysts something of opposite sign. The data suggest they may be motivated in part by subsequent personal stock-trading opportunities. Publisher's link:... View Details
- 23 Jan 2023
- Research & Ideas
After High-Profile Failures, Can Investors Still Trust Credit Ratings?
Credit ratings play an essential role in global finance by assessing whether borrowers can meet their debt obligations. Agency analysts study data from financial statements to make initial assessments about bond issuers, which include... View Details
Keywords: by Ben Rand
- 02 Dec 2013
- Research & Ideas
Companies Choreograph Earnings Calls to Hide Bad News
The quarterly earnings conference call is a traditional way for public companies to disclose information regarding performance and strategy from the prior quarter. Wall Street analysts and other company watchers dial in, identify... View Details
- 20 Jul 2010
- First Look
First Look: July 20
external finance constraints is more pronounced for firms with higher degrees of informational opacity. Specifically, it is particularly strong for small firms, firms without debt ratings, firms that are not included in the S&P 500 stock index, and firms with... View Details
Keywords: Martha Lagace