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Show Results For
- All HBS Web
(1,149)
- People (1)
- News (118)
- Research (911)
- Events (5)
- Multimedia (2)
- Faculty Publications (462)
- November 2008
- Journal Article
Can Research Committees Add Value for Investors? An Analysis of Lehman Brothers' Ten Uncommon Values® Recommendations
By: Boris Groysberg, Paul M. Healy and Yang Gui
Since 1949 Lehman Brothers has used an investment committee to select the top ten recommendations made by its analysts each year. We examine the performance of this committee's recommendations and find that on average its selections generated abnormal returns of 2.7%... View Details
Keywords: Forecasting and Prediction; Stocks; Financial Markets; Investment; Investment Return; Governing Rules, Regulations, and Reforms; Performance Expectations; Groups and Teams; Research; Value Creation
Groysberg, Boris, Paul M. Healy, and Yang Gui. "Can Research Committees Add Value for Investors? An Analysis of Lehman Brothers' Ten Uncommon Values® Recommendations." Journal of Financial Transformation 24 (November 2008): 123–130.
- 2020
- Working Paper
Determinants of Early-Stage Startup Performance: Survey Results
To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial... View Details
Keywords: Startups; Survey Research; Performance Analysis; Entrepreneurship; Performance; Analysis; Business Startups; Failure; Surveys
Eisenmann, Thomas R. "Determinants of Early-Stage Startup Performance: Survey Results." Harvard Business School Working Paper, No. 21-057, October 2020.
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; 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
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 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.
- March 2015 (Revised December 2015)
- Case
Coffee Wars in India: Café Coffee Day 2015
By: David B. Yoffie and Rachna Tahilyani
This case is an update of "Coffee Wars in India: Café Coffee Day 2013." It explores Café Coffee Day's progress after Starbuck's entry into India and the decisions it faces in 2015. View Details
Yoffie, David B., and Rachna Tahilyani. "Coffee Wars in India: Café Coffee Day 2015." Harvard Business School Case 715-445, March 2015. (Revised December 2015.)
- September 2019 (Revised January 2021)
- Case
Vispera: Visual Intelligence for Retail
By: Yael Grushka-Cockayne and Gamze Yucaoglu
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the... View Details
Keywords: Computer Vision Technology; Visual Analysis; Retail; Information Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Global Strategy; Technology Industry; Retail Industry; Turkey
Grushka-Cockayne, Yael, and Gamze Yucaoglu. "Vispera: Visual Intelligence for Retail." Harvard Business School Case 620-022, September 2019. (Revised January 2021.)
- April 2021 (Revised March 2024)
- Case
Social Media War 2021: Snap vs. Facebook vs. TikTok
By: David B. Yoffie and Daniel Fisher
This case explores the competitive war between Snap, Facebook, and TikTok in 2021. The strategic focus is on Snapchat: how should it respond to the emergence of TikTok, and how should it compete with the dominant competitor in its space—Facebook. The case examines... View Details
Keywords: Strategy Development; Competitor Analysis; Strategy; Network Effects; Competitive Strategy; Decision Choices and Conditions; Social Media
Yoffie, David B., and Daniel Fisher. "Social Media War 2021: Snap vs. Facebook vs. TikTok." Harvard Business School Case 721-443, April 2021. (Revised March 2024.)
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- 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.
- 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 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.
- 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).
- 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
- 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.
- April 2010
- Teaching Note
Jones Electrical Distribution (Brief Case)
By: Thomas R. Piper and Jeffrey DeVolder
Teaching Note for 4179. View Details
- 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.
- 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.)