Filter Results:
(1,341)
Show Results For
- All HBS Web
(1,341)
- News (127)
- Research (996)
- Events (12)
- Multimedia (2)
- Faculty Publications (482)
Show Results For
- All HBS Web
(1,341)
- News (127)
- Research (996)
- Events (12)
- Multimedia (2)
- Faculty Publications (482)
- Fast Answer
HBS Alumni Research Tips: Finding Market Data & Insights
How can alumni search for market data, trends, and insights? Statista is a user-friendly aggregator of statistical data from more than 20,000 sources worldwide. Follow instructions to register for a free premium account. Search for... View Details
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- May 2011
- Article
Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis
By: Kevin J. Boudreau, Nicola Lacetera and Karim R. Lakhani
Contests are a historically important and increasingly popular mechanism for encouraging innovation. A central concern in designing innovation contests is how many competitors to admit. Using a unique data set of 9,661 software contests, we provide evidence of two... View Details
Keywords: Motivation and Incentives; Problems and Challenges; Risk and Uncertainty; Innovation and Invention; Management Analysis, Tools, and Techniques; Value; Applications and Software; Competition; Performance; Theory; Practice
Boudreau, Kevin J., Nicola Lacetera, and Karim R. Lakhani. "Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis." Management Science 57, no. 5 (May 2011): 843–863.
- January 2021
- Exercise
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Ecommerce; CRM; Loyalty Management; Assortment Planning; Assortment Optimization; Lifetime Value (LTV); Analytics and Data Science; Analysis; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Exercise 521-079, January 2021.
- Article
Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience
By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
Objective
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
Kaplan, Robert S., Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee, and Edward B. Clark. "Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience." Academic Pediatrics 18, no. 7 (September–October 2018): 837–842.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
training data from large language models. It’s still an open question how to reliably determine how much memorization a given LLM is doing of its training set, which I think could be a standard analysis that... View Details
- Web
Data Tips & Toolkits - Research Computing Services
regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. Pwr : Power analysis functions along the lines of Cohen (1988). Visualizations Word Cloud... View Details
- Web
Data Science for Managers 2 - Course Catalog
making. The course builds on concepts learned in DSM and is specifically suited for students who want to continue their career at companies such as technology companies, where data collection, aggregation, and View Details
- 14 Aug 2015
- Working Paper Summaries
Are ‘Better’ Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation
- November 2024
- Article
A National Analysis of General Pediatric Inpatient Unit Closures and Openings, 2011–2018
By: Carolyn San Soucie, Nancy D. Beaulieu, Jason D. Buxbaum, David Cutler, JoAnna K. Leyenaar, Sarah C. McBride, Olivia Zhao and Alyna T. Chien
OBJECTIVES: This paper provides an examination of: (1) the frequency and net rates of change for general pediatric inpatient (GPI) unit closures and openings nationally and by state; (2) how often closures or openings are caused by GPI unit changes only or caused by... View Details
Keywords: Health Industry
San Soucie, Carolyn, Nancy D. Beaulieu, Jason D. Buxbaum, David Cutler, JoAnna K. Leyenaar, Sarah C. McBride, Olivia Zhao, and Alyna T. Chien. "A National Analysis of General Pediatric Inpatient Unit Closures and Openings, 2011–2018." Hospital Pediatrics 14, no. 11 (November 2024): 899–908.
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Grocery Delivery; Margins; Analytics and Data Science; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (C): Free Delivery Terms." Harvard Business School Exercise 521-080, January 2021. (Revised March 2021.)
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
- 2016
- Working Paper
Are 'Better' Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation
By: Erin L. Scott, Pian Shu and Roman M. Lubynsky
This paper studies the uncertainty associated with screening early stage ventures. Using data on 652 ventures in high-growth industries, we examine whether experienced entrepreneurs, executives, and investors can predict the outcomes of early stage ventures by reading... View Details
Scott, Erin L., Pian Shu, and Roman M. Lubynsky. "Are 'Better' Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation." Harvard Business School Working Paper, No. 16-013, July 2015. (Revised October 2016.)
- 2013
- Tool
Harvard Business Review's Go to Market Tools: Pricing for Profit
By: Thomas Steenburgh and Jill Avery
What price is right? Figuring out the best price for your product or service can be nerve-wracking. Your new product launch or marketing campaign's success—perhaps even your career advancement—may hinge on the price you choose. So how do you select a price that's... View Details
Keywords: Quantitative Analysis; Tools; Pricing; Profitability Analysis; Pricing Strategy; Marketing Strategy; Marketing
Steenburgh, Thomas, and Jill Avery. Harvard Business Review's Go to Market Tools: Pricing for Profit. Tool. Harvard Business Review Press, 2013. Electronic.
Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity... View Details
- April 2014
- Teaching Note
Jiangxi Agribusiness: (TN)
By: David F. Hawkins
[TN for 114-039] Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Jiangxi Agribusiness... View Details
- May 2013 (Revised March 2014)
- Case
Hubei Lantian (A)
By: David F. Hawkins, Michael Shih-Ta Chen and Nancy Hua Dai
Emily Wang, an analyst with Future Securities, a Shanghai-based investment firm, is given the task of making stock purchase recommendations to her supervisor from a number of Chinese common stocks. One stock in particular, Hubei Lantian Co., Ltd. (Hubei Lantian),... View Details
Hawkins, David F., Michael Shih-Ta Chen, and Nancy Hua Dai. "Hubei Lantian (A)." Harvard Business School Case 113-118, May 2013. (Revised March 2014.)
- May 2024
- Article
Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis
By: Bhavani Shanker Uppari, Serguei Netessine, Ioanna Popescu and Rowan P. Clarke
A significant proportion of the world's population has no access to grid-based electricity and so relies on off-grid lighting solutions. Rechargeable lamp technology is gaining popularity as an alternative off-grid lighting model in developing countries. In this paper,... View Details
Keywords: Technological Innovation; Developing Countries and Economies; Consumer Behavior; Poverty; Logistics; Business Model; Utilities Industry
Uppari, Bhavani Shanker, Serguei Netessine, Ioanna Popescu, and Rowan P. Clarke. "Design of Off-Grid Lighting Business Models to Serve the Poor: Field Experiments and Structural Analysis." Management Science 70, no. 5 (May 2024): 3038–3058.
- 09 Dec 2015
- Working Paper Summaries