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- Faculty Publications (139)
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- All HBS Web (315)
- Faculty Publications (139)
- 15 Sep 2015
- First Look
September 15, 2015
Operations Management Analytics for an Online Retailer: Demand Forecasting and Price Optimization By: Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi Abstract—We present our work with an online retailer, Rue La La, as an...
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Keywords:
Sean Silverthorne
- 14 Oct 2015
- HBS Seminar
Scott Stern, Professor, MIT Sloan School of Management
- Web
Business Fundamentals Course - CORe | HBS Online
Self-Paced with regular deadlines This course earns you a Credential of Readiness from HBS Online. What you earn. Overview Syllabus Enrollment Stories FAQs Apply Now Key Concepts Analyze and interpret data to inform business decisions Implement View Details
- 07 Mar 2016
- HBS Seminar
Scott Stern, MIT Sloan School of Management
Jill J. Avery
Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details
Keywords:
consumer products;
arts;
advertising;
automobiles;
retailing;
fashion;
hotels & motels;
food;
beverage
- Program
Competing in the Age of AI—Virtual
will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; and learn how to build an AI factory that enables your company to compete successfully...
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- April 2008
- Tutorial
Finance: An Introductory Online Course
By: Timothy A. Luehrman, Brenda W. Chia and Michelle Rendall
The Finance Online Course provides a fundamental understanding of the principles, analytical tools, and knowledge needed to make good investment and financing decisions. The course introduces students to finance ratios, forecasting methods, capital structure theory,...
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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- Article
Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy
By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to...
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Keywords:
User-generated Content;
Operations;
Tournaments;
Policy-making;
Machine Learning;
Online Platforms;
Analytics and Data Science;
Mathematical Methods;
City;
Infrastructure;
Business Processes;
Government and Politics
Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
- Web
Required Curriculum - MBA
will gain An understanding of foundational data science concepts and techniques that can inform business insights and decisions. Exposure to R statistical programming language to manipulate, analyze, and visualize data. Knowledge of how modern data science strategies...
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- Article
Is it Better to Average Probabilities or Quantiles?
By: Kenneth C. Lichtendahl, Yael Grushka-Cockayne and Robert L. Winkler
We consider two ways to aggregate expert opinions using simple averages: averaging probabilities and averaging quantiles. We examine analytical properties of these forecasts and compare their ability to harness the wisdom of the crowd. In terms of location, the two...
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Keywords:
Probability Forecasts;
Quantile Forecasts;
Expert Combination;
Linear Opinion Pooling;
Forecasting and Prediction
Lichtendahl, Kenneth C., Yael Grushka-Cockayne, and Robert L. Winkler. "Is it Better to Average Probabilities or Quantiles?" Management Science 59, no. 7 (July 2013): 1594–1611.
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- Web
Business Economics Online Course | HBS Online
in economics as an undergraduate, but the content of Business Analytics and Economics for Managers showed me new ways for using the theoretical foundations I already had. Carolina RagoltaMBA Student at Stanford Graduate School of Business...
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- 2018
- Working Paper
Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local...
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Keywords:
Geographic Location;
Local Range;
Transition;
Analytics and Data Science;
Measurement and Metrics;
Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change." NBER Working Paper Series, No. 24952, August 2018.
- 2010
- Working Paper
The Unbundling of Advertising Agency Services: An Economic Analysis
By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's...
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Keywords:
Advertising;
Change;
Forecasting and Prediction;
Cost;
Price;
Analytics and Data Science;
Surveys;
Marketing Strategy;
Media;
Service Operations;
Agency Theory;
Mathematical Methods;
Advertising Industry;
United States
Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Harvard Business School Working Paper, No. 11-039, September 2010.
- 2016
- Working Paper
The Impact of Supplier Inventory Service Level on Retailer Demand
By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from...
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Keywords:
Customer Satisfaction;
Forecasting and Prediction;
Learning;
Consumer Behavior;
Service Delivery;
Performance Expectations;
Apparel and Accessories Industry;
Service Industry
Craig, Nathan, Nicole DeHoratius, and Ananth Raman. "The Impact of Supplier Inventory Service Level on Retailer Demand." Working Paper. (Revised January 2016.)
- July 2010 (Revised December 2011)
- Background Note
Marketing Analysis Toolkit: Pricing and Profitability Analysis
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability...
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Keywords:
Forecasting and Prediction;
Price;
Profit;
Management Analysis, Tools, and Techniques;
Marketing Strategy;
Demand and Consumers;
Measurement and Metrics;
Strategic Planning;
Mathematical Methods;
Retail Industry
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Pricing and Profitability Analysis." Harvard Business School Background Note 511-028, July 2010. (Revised December 2011.)
- 2011
- Chapter
Regional Trade Integration and Multinational Firm Strategies
By: Pol Antras and C. Fritz Foley
This paper analyzes the effects of the formation of a regional trade agreement on the level and nature of multinational firm activity. We examine aggregate data that captures the response of U.S. multinational firms to the formation of the ASEAN free trade agreement....
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Keywords:
Forecasting and Prediction;
Trade;
Foreign Direct Investment;
Multinational Firms and Management;
Globalized Markets and Industries;
Analytics and Data Science;
Agreements and Arrangements;
United States
Antras, Pol, and C. Fritz Foley. "Regional Trade Integration and Multinational Firm Strategies." In Costs and Benefits of Regional Economic Integration in Asia, edited by Robert J. Barro and Jong-Wha Lee. Oxford University Press, 2011.