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(1,382)
- News (130)
- Research (1,031)
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- Faculty Publications (509)
Show Results For
- All HBS Web
(1,382)
- News (130)
- Research (1,031)
- Events (12)
- Multimedia (2)
- Faculty Publications (509)
- Article
Collection, Exploration and Analysis of Crowdfunding Social Networks
By: Miao Cheng, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang and Po-Ling Loh
Crowdfunding is a recent financing phenomenon that is gaining wide popularity as a means for startups to raise seed funding for their companies. This paper presents our initial results at understanding this phenomenon using an exploratory data driven approach. We have... View Details
Cheng, Miao, Anand Sriramulu, Sudarshan Muralidhar, Boon Thau Loo, Laura Huang, and Po-Ling Loh. "Collection, Exploration and Analysis of Crowdfunding Social Networks." Proceedings of the International Workshop on Exploratory Search in Databases and the Web 3rd (2016): 25–30.
- 2013
- Working Paper
Visualizing and Measuring Enterprise Application Architecture: An Exploratory Telecom Case
By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack and Stephan Aier
We test a method for visualizing and measuring enterprise application architectures. The method was designed and previously used to reveal the hidden internal architectural structure of software applications. The focus of this paper is to test if it can also uncover... View Details
Keywords: Communication Technology; Complexity; Applications and Software; Product Design; Telecommunications Industry
Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, and Stephan Aier. "Visualizing and Measuring Enterprise Application Architecture: An Exploratory Telecom Case." Harvard Business School Working Paper, No. 13-103, June 2013.
- Research Summary
Managerial Decision Analysis
By: David E. Bell
David E. Bell and Arthur Schleifer, Jr. are concluding a multiyear project aimed at producing more field-oriented case material for the Managerial Economics course, specifically, materials on decision, data, and risk analysis. A series of case- and textbooks (with... View Details
- August 2016 (Revised November 2019)
- Case
eSig: Growth Analysis
By: Mark Roberge and Tom Eisenmann
eSig, an early-stage startup, offers an electronic signature application as a "freemium" product, i.e., users can upgrade from a free basic version to a premium version by paying a subscription fee. Using 9 months of data from 50,000 user activations (available as a... View Details
Keywords: Esignature; Computer Software; Business or Company Management; Marketing Channels; Applications and Software; Business Startups; Computer Industry
Roberge, Mark, and Tom Eisenmann. "eSig: Growth Analysis." Harvard Business School Case 817-009, August 2016. (Revised November 2019.)
- April 2006
- Background Note
Informing Service Management with Customer Data
By: Frances X. Frei and Dennis Campbell
Taught as the third module in a Harvard Business School course on Managing Service Operations. Explores the role of data analysis in ongoing service management. Describes how to realize the maximum amount of value from analyses and use this information in... View Details
Keywords: Decision Making; Design; Analytics and Data Science; Service Operations; Mathematical Methods; Value
Frei, Frances X., and Dennis Campbell. "Informing Service Management with Customer Data." Harvard Business School Background Note 606-097, April 2006.
- 2007
- Text Book
Business Analysis and Valuation: Using Financial Statements
By: Paul M. Healy and Krishna G. Palepu
Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for... View Details
Healy, Paul M., and Krishna G. Palepu. Business Analysis and Valuation: Using Financial Statements. 4th ed. Mason, OH: Thomson South-Western, 2007.
- October 1993 (Revised August 1996)
- Background Note
Forecasting with Regression Analysis
Provides an example of regression in one of its most important roles. Relating probabilistic forecasts based on past data to decision analysis. View Details
Keywords: Management Analysis, Tools, and Techniques; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods
Schleifer, Arthur, Jr. "Forecasting with Regression Analysis." Harvard Business School Background Note 894-007, October 1993. (Revised August 1996.)
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details
Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry
Datar, Srikant M., and Caitlin N. Bowler. "The Oakland Athletics: Strategy & Metrics for a Budget." Harvard Business School Case 118-010, August 2017. (Revised August 2018.)
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
Keywords: Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Analytics and Data Science; Sports Industry; San Francisco; United States
Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. (Revised February 2024.)
- October 2002 (Revised February 2003)
- Case
Administrative Data Project (A)
By: Lynda M. Applegate and Donald E. Heller
Encourages analysis of the implementation of a large technical infrastructure and process transformation project within a university setting. Enables an instructor to teach change management, leadership, and technical project management skills. View Details
Keywords: Teaching; Change Management; Management Practices and Processes; Transformation; Learning; Competency and Skills; Leadership Development; Non-Governmental Organizations; Education Industry
Applegate, Lynda M., and Donald E. Heller. "Administrative Data Project (A)." Harvard Business School Case 803-051, October 2002. (Revised February 2003.)
- 2021
- Working Paper
T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military
By: Hise O. Gibson
People are an organization’s most important resource. Managers who are collaborative and innovative ensure that organizations remain competitive. This type of manager has been referred to as a T-shaped manager. “T” given that the vertical portion represents the depth... View Details
Keywords: T-shaped Management; Leader Development; Talent Management; Leadership Style; Leadership Development; Management Skills; Talent and Talent Management
Gibson, Hise O. "T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military." Harvard Business School Working Paper, No. 22-003, July 2021.
Economic Analysis of the Digital Economy
As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on... View Details
- Fast Answer
U.S. economic data
H.15 - Interest rates for select U.S. government and Federal Reserve series, published every business day. Bureau of Economic Analysis (BEA) Data - U.S. national data and a variety of... View Details
- 2015
- Book
Economic Analysis of the Digital Economy
By: Avi Goldfarb, Shane Greenstein and Catherine Tucker
As the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic... View Details
Goldfarb, Avi, Shane Greenstein and Catherine Tucker, eds. Economic Analysis of the Digital Economy. University of Chicago Press, 2015.
- May 2014
- Article
Incorporating Field Data into Archival Research
By: Eugene F. Soltes
I explore the use of field data in conjunction with archival evidence by examining Iliev, Miller, and Roth's (2014) analysis of an amendment to the Securities Exchange Act of 1934. This regulatory amendment allowed depositary banks to cross-list firms without the... View Details
Soltes, Eugene F. "Incorporating Field Data into Archival Research." Journal of Accounting Research 52, no. 2 (May 2014): 521–540.
- 12 Jan 2023
- News
‘Debiasing’ Debt with Data
records on borrowers, and put the data through a random forest regression, a type of analysis known for producing good predictions that can be readily understood. When they tested the resulting model, the... View Details
Keywords: Ralph Ranalli
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- October 2018
- Case
Fundraising at St. Camillus Hospital
By: Srikant M. Datar and Caitlin N. Bowler
St. Camillus is a fictional non-profit hospital in rural Maine facing a serious budget deficit. As Director of Marketing, Victoria Stern is building a team to modernize the hospital fundraising efforts. An interview with a promising candidate, who is also a digital... View Details
Keywords: Data Analysis; Data Privacy; Data Governance; Non-profit; Health Care; Fundraising; Data Security; Analytics and Data Science; Safety; Governance; Ethics; Health Care and Treatment; Cybersecurity
Datar, Srikant M., and Caitlin N. Bowler. "Fundraising at St. Camillus Hospital." Harvard Business School Case 119-027, October 2018.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.