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Show Results For
- All HBS Web
(3,934)
- People (3)
- News (397)
- Research (2,967)
- Events (28)
- Multimedia (18)
- Faculty Publications (2,271)
- March 2015
- Article
Inside the “Black Box” of Sell-Side Financial Analysts
By: Lawrence D. Brown, Andrew C. Call, Michael B. Clement and Nathan Y. Sharp
Our objective is to penetrate the “black box” of sell-side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow-up interviews covering a wide range of topics, including the... View Details
Keywords: Knowledge Use and Leverage; Investment; Analysis; Forecasting and Prediction; Stocks; Financial Services Industry
Brown, Lawrence D., Andrew C. Call, Michael B. Clement, and Nathan Y. Sharp. "Inside the “Black Box” of Sell-Side Financial Analysts." Journal of Accounting Research 53, no. 1 (March 2015): 1–47.
- Person Page
AOM Ethno PDW 2009-2014
AOM PDW 2014: Being There/Being Them: Entry, Exit, and In-Between in Organization Ethnography
Co-Organizers: Michel Anteby, Harvard; Curtis K. Chan, Harvard; Julia DiBenigno,... View Details
- Fast Answer
Challenges and Opportunities in the Restaurant Industry
Resources Company Analysis and Financing Company profiles on project sponsors Financial fundamentals for valuation Executive bios Size of organization, i.e., number of employees, revenue View Details
- Web
Mintel Reports | Baker Library
Mintel Reports U.S. consumer market studies and primary and secondary data analysis for topics including food, beverage, apparel, beauty, retail, and travel. Read More U.S. consumer market studies and primary and secondary data View Details
- Fast Answer
Biotech, Medical Devices, and Pharmaceuticals: Industry/Market Overview/Analysis
Where to find market overview and analysis for industries of biotech, medical devices and pharmaceuticals? The following are the top databases for industry/market analysis in the spaces of biotech, medical... View Details
- Web
Economist Intelligence Unit | Baker Library
Economist Intelligence Unit In-depth country and selected industry analysis and data. Read More Includes descriptions of the politics, economy, risk, regulation, and business environment of a country, as well as View Details
- 2020
- Article
Inconvenient Truths: Interpreting the Origins of the Internet
By: Shane Greenstein
A conventional economic narrative provides intellectual underpinnings for governments to subsidize research and development ("R&D") that coordinates risky research to benefit many in society. This essay compares this narrative with the origins and invention of the... View Details
Keywords: Lead Users; Technology Transfer; Internet and the Web; History; Analysis; Research and Development; Governance; Information Technology; Policy
Greenstein, Shane. "Inconvenient Truths: Interpreting the Origins of the Internet." Journal of Law & Innovation 3 (2020): 36–68.
- 2020
- Working Paper
Hospital Allocation and Racial Disparities in Health Care
By: Amitabh Chandra, Pragya Kakani and Adam Sacarny
We develop a simple framework to measure the role of hospital allocation in racial disparities in health care and use it to study Black and white Medicare patients who are treated for heart attacks—a condition where virtually everyone receives care, hospital care is... View Details
Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. "Hospital Allocation and Racial Disparities in Health Care." NBER Working Paper Series, No. 28018, November 2020.
- March 2016 (Revised February 2023)
- Teaching Note
Advertising Experiments at RestaurantGrades
By: Michael Luca, Weijia Dai and Hyunjin Kim
Advertising Experiments at RestaurantGrades is an exercise in which students are asked to analyze and make a recommendation on the basis of simulated experimental data. The setting is a hypothetical restaurant review company called RestaurantGrades (RG), which shows... View Details
- August 2018 (Revised September 2018)
- Supplement
LendingClub (C): Gradient Boosting & Payoff Matrix
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
- August 2018 (Revised September 2018)
- Supplement
LendingClub (B): Decision Trees & Random Forests
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
- 08 May 2013
- Research & Ideas
A Company’s Evolving View of Gender Equity
gender and work, the paper, An Outside- Inside Internalization of Shifting Gender Logics in Professional Work, identifies cycles of organizational analysis and resulting actions sparked by transformations in societal beliefs and practices... View Details
- Web
Introduction - The Collection - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
The Message The Product The Production The Worker The Audience Bibliography The Collection: Data Analysis Photography has the capacity for accounting for things seen in the visual world with an exactitude for their differences which no... View Details
- Web
Database Best Practices - Research Computing Services
will be large, and they may uncover any unforeseen data problems. Analysis of your data using SQL Implement index key columns to maximize efficiency during joins and sorts. It is suggested that you query your data and build View Details
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
"Businesses are becoming so complex that integrating predictive analytics in decision making is not very far away I think 'predictive analytics' is the 'Moneyball' for businesses." Kapil Kumar Sopory said that, "Prevention is better than cure, and this... View Details
Keywords: by James Heskett
- Fast Answer
Energy storage: market overview, technological trends
What is the market status of energy storage technologies? You may begin with multiple databases listed below for industry/market analysis including technological trends BCC Research Frost & Sullivan Technavio... View Details
- Fast Answer
Television: overview & ratings
Where can I find an overview of the TV industry, and also TV ratings? S&PCapital IQ Pro: Select Industries --> Technology, Media & Telecommunications... View Details
- January 2025 (Revised March 2025)
- Case
Thomas Müller: Mr. Bayern Munich
By: Boris Groysberg, Sascha L. Schmidt, Alexander Liebhart and Sarah Abbott
In 2024, FC Bayern Munich superstar Thomas Müller announced his retirement from German national football. His contract with Bayern Munich runs through the end of the 2024-25 season. In 2025, Müller reflects on his long career in football, on the skills that have driven... View Details
Keywords: Soccer; Football; Data Science And Analytics Management; Bundesliga; Sports Data; ＂Sports Organizations,; Career Changes And Transitions; Career Management; Retirement Transition; Skills Development; Analysis; Competency and Skills; Decision Making; Performance; Personal Development and Career; Retirement; Transition; Sports Industry; Germany
Groysberg, Boris, Sascha L. Schmidt, Alexander Liebhart, and Sarah Abbott. "Thomas Müller: Mr. Bayern Munich." Harvard Business School Case 425-031, January 2025. (Revised March 2025.)
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).