Filter Results
:
(1,326)
Show Results For
-
All HBS Web
(1,326)
- News (118)
- Research (991)
- Events (12)
- Multimedia (2)
- Faculty Publications (471)
Show Results For
-
All HBS Web
(1,326)
- News (118)
- Research (991)
- Events (12)
- Multimedia (2)
- Faculty Publications (471)
- January 2021
- Supplement
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;
Retail Analytics;
Retailing Industry;
Data;
Data Sharing;
Ecommerce;
Assortment Optimization;
Assortment Planning;
Analytics and Data Science;
Retention;
Retail Industry;
Consumer Products Industry;
United States
- May 1990 (Revised September 1994)
- Background Note
Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information
Provides a framework that helps explain these real-world observations about accounting and financial statement analysis. When managers have superior information on firms' strategies, and when investors suspect that managers have incentives not to fully disclose this...
View Details
Palepu, Krishna G. "Note on Financial Reporting Strategy and Analysis When Managers Have Proprietary Information." Harvard Business School Background Note 190-188, May 1990. (Revised September 1994.)
- 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)
- 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.
- 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
- 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
- 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.)
- 14 Aug 2015
- Working Paper Summaries
Are ‘Better’ Ideas More Likely to Succeed? An Empirical Analysis of Startup Evaluation
- 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.)
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a...
View Details
Keywords:
Efficiency Analysis;
Performance Benchmarking;
Warehousing;
Analytics and Data Science;
Performance Evaluation;
Measurement and Metrics;
Mathematical Methods
Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
- 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
- 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.
- 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.)
- August 2018 (Revised April 2019)
- Case
Chateau Winery (A): Unsupervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups...
View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
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
- 10 Mar 2010
- Working Paper Summaries
A Reexamination of Tunneling and Business Groups: New Data and New Methods
- 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.
- March–April 2014
- Article
Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans
By: Doug J. Chung, Thomas Steenburgh and K. Sudhir
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
Chung, Doug J., Thomas Steenburgh, and K. Sudhir. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans." Marketing Science 33, no. 2 (March–April 2014): 165–187. (Lead article. Featured in HBS Working Knowledge.)