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- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- Article
The Stock Selection and Performance of Buy-Side Analysts
We examine the selection and performance of stocks recommended by analysts at a large investment firm relative to those of sell-side analysts during the period mid-1997 and 2004. The buy-side firm's analysts issued less optimistic recommendations for stocks with larger... View Details
Keywords: Buy-side Analysts; Sell-side Analysts; Stock Recommendations; Recommendation Optimism; Recommendation Performance; Investment Recommendations; Conflicts Of Interest; Financial Markets; Financial Institutions; Stocks; Financial Services Industry; United States
Groysberg, Boris, Paul M. Healy, Georgios Serafeim, Devin Shanthikumar, and Gui Yang. "The Stock Selection and Performance of Buy-Side Analysts." Harvard Business School Working Knowledge (March 20, 2012).
- May 2013
- Article
The Stock Selection and Performance of Buy-Side Analysts
Prior research on equity analysts focuses almost exclusively on those employed by sell-side investment banks and brokerage houses. Yet investment firms undertake their own buy-side research and their analysts face different stock selection and recommendation incentives... View Details
Keywords: Buy-side Analysts; Sell-side Analysts; Stock Recommendations; Recommendation Optimism; Recommendation Performance; Investment Recommendations; Conflicts Of Interest; Financial Markets; Financial Institutions; Financial Services Industry; United States
Groysberg, Boris, Paul Healy, George Serafeim, and Devin Shanthikumar. "The Stock Selection and Performance of Buy-Side Analysts." Management Science 59, no. 5 (May 2013): 1062–1075.
- Article
Optimal Taxation in Theory and Practice
By: N. Gregory Mankiw, Matthew C. Weinzierl and Danny Yagan
We highlight and explain eight lessons from optimal tax theory and compare them to the last few decades of OECD tax policy. As recommended by theory, top marginal income tax rates have declined, marginal income tax schedules have flattened, redistribution has risen... View Details
Mankiw, N. Gregory, Matthew C. Weinzierl, and Danny Yagan. "Optimal Taxation in Theory and Practice." Journal of Economic Perspectives 23, no. 4 (Fall 2009): 147–174.
- January 2011
- Case
AIC Netbooks: Optimizing Product Assembly
By: Steven C. Wheelwright and Sunru Yong
AIC Systems, located in Taichung, Taiwan, is a manufacturer of printed circuit boards, primarily for motherboards and video cards for personal computers. The firm is considered an original design manufacturer (ODM) and takes an active role in innovating and designing... View Details
Keywords: Performance Management; Quantitative Analysis; Manufacturing; Production Planning; Production Management; Diversification; Production; Performance Efficiency; Product Design; Performance Improvement; Mobile Technology; Manufacturing Industry; Electronics Industry; Taiwan
Wheelwright, Steven C., and Sunru Yong. "AIC Netbooks: Optimizing Product Assembly." Harvard Business School Brief Case 114-245, January 2011.
- 19 Aug 2009
- Working Paper Summaries
Optimal Taxation in Theory and Practice
- 01 Mar 2018
- News
Ink: Alumni Books and Recommendations
Jones Miller (MBA 2014), cofounder, Mented Cosmetics Organize Tomorrow Today: 8 Ways to Retrain Your Mind to Optimize Performance at Work and in Life by Jason Selk and Tom Bartow, with Matthew Rudy “Let’s face it: in this modern age, we... View Details
Keywords: April White
- 23 Apr 2008
- Op-Ed
The Gap in the U.S. Treasury Recommendations
fundamental change in the regulatory structure is required for managing risk in the financial system. That said, there is still a fundamental gap in the recommended structure because it leaves some financial firms out of "prudential... View Details
- November 2004 (Revised March 2007)
- Case
10 Uncommon Values®: Optimizing the Stock-Selection Process
By: Paul M. Healy and Boris Groysberg
In 2003, Steve Hash, research director at Lehman Brothers, prepared to initiate the firm's "Ten Uncommon Values" stock-picking process for the year. An investment committee had to pick the 10 best stocks from about 100 stock ideas presented by the firm's analysts. The... View Details
Keywords: Stocks; Investment; Financial Strategy; Decision Making; Groups and Teams; Financial Services Industry; United States
Healy, Paul M., and Boris Groysberg. "10 Uncommon Values®: Optimizing the Stock-Selection Process." Harvard Business School Case 405-022, November 2004. (Revised March 2007.)
- 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
- 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.
- April 2010
- Case
Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug
By: John A. Quelch and Heather Beckham
Metabical is a new weight loss drug from Cambridge Sciences Pharmaceuticals intended for moderately overweight individuals. In anticipation of final FDA approval, the senior director of marketing, Barbara Printup, prepares for the product launch and must make several... View Details
Keywords: Return On Investment; Forecasting; Pricing Policies; Demand Planning; Marketing Strategy; Price; Consumer Behavior; Investment Return; Forecasting and Prediction; Product Launch; Planning; Brands and Branding; Pharmaceutical Industry
Quelch, John A., and Heather Beckham. "Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug." Harvard Business School Brief Case 104-183, April 2010.
- 2024
- Working Paper
Advancing Personalization: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- Research Summary
Optimal Signaling Policy with Rational and Irrational Agents (with James Burns)
We examine situations in which a single informed agent signals a group of uniformed agents. The uniformed agents must then take an action based on this signal. The motivation for our work comes from real world examples such as terrorist alerts or job safety... View Details
- February 2021 (Revised February 2021)
- Background Note
eGrocery and the Role of Data for CPG Firms
By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin
This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)." 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; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, Fedor (Ted) Lisitsyn, and Mark A. Irwin. "eGrocery and the Role of Data for CPG Firms." Harvard Business School Background Note 521-077, February 2021. (Revised February 2021.)
- 2023
- Working Paper
Targeting, Personalization, and Engagement in an Agricultural Advisory Service
By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
ICT is increasingly used to deliver customized information in developing countries. We
examine whether individually targeting the timing of automated voice calls meaningfully
increases engagement in an agricultural advisory service. We define, estimate, and... View Details
Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
- March 2013
- Article
The Client Is King: Do Mutual Fund Relationships Bias Analyst Recommendations?
By: Michael Firth, Chen Lin, Ping Liu and Yuhai Xuan
This paper investigates whether the business relations between mutual funds and brokerage firms influence sell-side analyst recommendations. Using a unique data set that discloses brokerage firms' commission income derived from each mutual fund client as well as the... View Details
Firth, Michael, Chen Lin, Ping Liu, and Yuhai Xuan. "The Client Is King: Do Mutual Fund Relationships Bias Analyst Recommendations?" Journal of Accounting Research 51, no. 1 (March 2013): 165–200.
- 2019
- Chapter
Conclusion—Intersections of Race, Work, and Leadership: Lessons in Advancing Black Leaders
By: Laura Morgan Roberts and Anthony J. Mayo
In chapter 23, the concluding chapter of Race, Work, and Leadership, “Intersections of Race, Work, and Leadership,” Roberts and Mayo provide insights for understanding and enhancing the black experience. In addition, the editors summarize a series of... View Details
Morgan Roberts, Laura, and Anthony J. Mayo. "Conclusion—Intersections of Race, Work, and Leadership: Lessons in Advancing Black Leaders." Chap. 23 in Race, Work, and Leadership: New Perspectives on the Black Experience, edited by Laura Morgan Roberts, Anthony J. Mayo, and David A. Thomas, 419–432. Boston, MA: Harvard Business Review Press, 2019.
- August 2022
- Supplement
NOW PT (B): Should We Invest?
By: George A. Riedel, Amy Klopfenstein and Mel Martin
This (B) case examines the results of the HBS Impact Investment Fund student team’s diligence on Neurologic Optimal Wellness Physical Therapy (NOW PT). After examining Springfield’s demographics, anticipated PT demand, local competition, and NOW PT’s financial... View Details
Keywords: Entrepreneurship; Social Entrepreneurship; Finance; Investment; Health; Health Care and Treatment; Medical Specialties; Buildings and Facilities; Health Industry; Financial Services Industry; North and Central America; United States; Massachusetts
Riedel, George A., Amy Klopfenstein, and Mel Martin. "NOW PT (B): Should We Invest?" Harvard Business School Supplement 323-014, August 2022.