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Show Results For
- All HBS Web
(1,178)
- People (1)
- News (117)
- Research (909)
- Events (5)
- Multimedia (2)
- Faculty Publications (468)
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- January 2020
- Case
Hurtigruten: Sailing into Warm Water?
By: Jan W. Rivkin and Kerry Herman
As this case opens in 2019, CEO Daniel Skjeldam and his team have successfully reinvigorated Hurtigruten, a storied but struggling Norwegian ferry and cruise operator, and have established it as the leading provider of polar expedition cruises. They now face a critical... View Details
Keywords: Relative Cost Analysis; Market Attractiveness; Diversification; Decision Making; Expansion; Tourism Industry; Norway
Rivkin, Jan W., and Kerry Herman. "Hurtigruten: Sailing into Warm Water?" Harvard Business School Case 720-410, January 2020.
- Article
DEA Model with Shared Resources and Efficiency Decomposition
By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details
Chen, Yao, Juan Du, H. David Sherman, and Joe Zhu. "DEA Model with Shared Resources and Efficiency Decomposition." European Journal of Operational Research 207, no. 1 (November 2010): 339–349.
- June 2018
- Case
American Airlines' Value Pricing (Abridged)
By: Alvin J. Silk and Sunil Gupta
This is an abridged version of the 1992 case where American Airlines (AA) launched "Value Pricing" in an attempt to simplify the pricing structure of the airline industry. AA expected that this plan would benefit not only consumers, but also AA and the entire airline... View Details
Keywords: Consumer Marketing; Market Segmentation; Pricing; Pricing Strategy; Demand Analysis; Competition; Marketing; Segmentation; Price; Strategy; Demand and Consumers; Analysis; Air Transportation Industry
Silk, Alvin J., and Sunil Gupta. "American Airlines' Value Pricing (Abridged)." Harvard Business School Case 519-019, June 2018.
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- June 2020
- Article
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))
- 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
- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
- September 2018 (Revised August 2019)
- Case
The Progressive Corporation, 2018
By: John R. Wells and Benjamin Weinstock
In early 2019, The Progressive Corporation (Progressive), the USA’s third-largest auto insurance writer, reported earned premiums were up 20% in 2018 compared to the previous year, and net income was up 64%. Direct sales of personal auto policies rose 21%, while agent... View Details
Keywords: Insurance Companies; Strategic Analysis; Strategic Decisions; Customer Acquisition; Customer Experience; Customer Lifetime Value; Policy Implementation; Competitors; Auto Insurance; Vehicle; Progressive; Allstate; State Farm; GEICO; Implementation; Insurance; Customer Value and Value Chain; Growth Management; Competitive Strategy; Insurance Industry
Wells, John R., and Benjamin Weinstock. "The Progressive Corporation, 2019." Harvard Business School Case 719-413, September 2018. (Revised August 2019.)
- April 2010
- Case
Jones Electrical Distribution
By: Thomas R. Piper and Jeffrey DeVolder
Jones Electrical Distribution is faced with a need for increased bank financing due to its rapid sales growth. Students must determine the reasons for the rising bank borrowing, estimate the amount of borrowing needed and assess the attractiveness of the loan to the... View Details
Keywords: Financial Analysis; Forecasting; Financing; Bank Loans; Growth Management; Cash Flow; Financing and Loans; Forecasting and Prediction; Distribution Industry
Piper, Thomas R., and Jeffrey DeVolder. "Jones Electrical Distribution." Harvard Business School Brief Case 104-179, April 2010.
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the... View Details
Keywords: Pricing; Pricing Algorithms; Dynamic Pricing; Ecommerce; Pricing Strategy; Pricing And Revenue Management; Apparel; Singapore; Startup; Demand Estimation; Data Analysis; Data Analytics; Exercise; Price; Internet and the Web; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- April 2010
- Teaching Note
Jones Electrical Distribution (Brief Case)
By: Thomas R. Piper and Jeffrey DeVolder
Teaching Note for 4179. View Details
- Research Summary
Overview
Downstream businesses that utilize global suppliers frequently use auditing programs to monitor their suppliers’ working conditions and are often deployed to address reputational concerns associated with procuring from unregulated suppliers. Despite their widespread... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- January 2025
- Case
AI Meets VC: The Data-Driven Revolution at Quantum Light Capital
By: Lauren Cohen, Grace Headinger and Sophia Pan
Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 2014
- Other Teaching and Training Material
Marketing Reading: Customer Management
By: Sunil Gupta
This Reading on customer management sheds light on how companies should evaluate and manage their customers in order to grow profitably. Customer management allows marketing managers to inform investment decisions by drilling down into each customer's profitability or... View Details
Keywords: Customer Acquisition; Customer Churn; Customer Profitability Analysis; Customer Retention; Firm Value; Organizational Structure
Gupta, Sunil. "Marketing Reading: Customer Management." Core Curriculum Readings Series. Boston: Harvard Business Publishing 8162, 2014.
- July–August 2011
- Article
Robust Optimization Made Easy with ROME
By: Joel Goh and Melvyn Sim
We introduce ROME, an algebraic modeling toolbox for a class of robust optimization problems. ROME serves as an intermediate layer between the modeler and optimization solver engines, allowing modelers to express robust optimization problems in a mathematically... View Details
Keywords: Robust Optimization; Algebraic Modeling Toolbox; MATLAB; Stochastic Programming; Decision Rules; Inventory Control; PERT; Project Management; Portfolio Optimization; Information Technology; Mathematical Methods; Operations
Goh, Joel, and Melvyn Sim. "Robust Optimization Made Easy with ROME." Operations Research 59, no. 4 (July–August 2011): 973–985.
- October 1997 (Revised November 2000)
- Background Note
Note on Marketing Strategy
By: Robert J. Dolan
Describes the major elements of marketing strategy: the decisions to be made and the underlying analysis to support that decision making. View Details
Keywords: Marketing Strategy
Dolan, Robert J. "Note on Marketing Strategy." Harvard Business School Background Note 598-061, October 1997. (Revised November 2000.)
- March 2011 (Revised November 2011)
- Case
Harmonic Hearing Co.
By: Howard H. Stevenson and Craig H. Stephenson
Harmonic is a small, privately held manufacturer of hearing aids. Harriet Burns and Marc Davis, two employees at Harmonic, have an opportunity to purchase the company from the founder. As well-informed insiders who understand the industry, Burns and Davis believe the... View Details
Keywords: Debts; Quantitative Analysis; Financing; Entrepreneurial Finance; Development Stage Enterprises; Small ＆ Medium-sized Enterprises; Small Business; Business Growth and Maturation; Cash Flow; Mathematical Methods; Entrepreneurship; Financing and Loans; Borrowing and Debt; Equity; Manufacturing Industry
Stevenson, Howard H., and Craig H. Stephenson. "Harmonic Hearing Co." Harvard Business School Brief Case 114-271, March 2011. (Revised November 2011.)
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)