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All HBS Web
(1,969)
- Faculty Publications (558)
- 2020
- Working Paper
Recognition Incentives for Internal Crowdsourcing: A Field Experiment at NASA
By: Jana Gallus, Olivia S. Jung and Karim R. Lakhani
What might motivate employees to participate in internal crowdsourcing, a peer-based approach to innovation? Should organizations use incentives that are congruent with their established hierarchical structures, or should they use incentives that are aligned with the...
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Keywords:
Online Platforms;
Employee Engagement;
Managerial Recognition;
Innovation and Management;
Employees;
Motivation and Incentives
Gallus, Jana, Olivia S. Jung, and Karim R. Lakhani. "Recognition Incentives for Internal Crowdsourcing: A Field Experiment at NASA." Harvard Business School Working Paper, No. 20-059, November 2019. (Revised May 2020.)
- November 2019
- Article
Full Substitutability
By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
Various forms of substitutability are essential for establishing the existence of equilibria and other useful properties in diverse settings such as matching, auctions, and exchange economies with indivisible goods. We extend earlier models’ definitions of...
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Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Full Substitutability." Theoretical Economics 14, no. 4 (November 2019): 1535–1590.
- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural...
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Keywords:
CEOs;
Communication Style;
Machine Learning;
Spoken Communication;
Nonverbal Communication;
Personal Characteristics;
Analysis;
Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- Article
From Words to Pixels: Text and Image Mining Methods for Service Research
By: Francisco Villarroel Ordenes and Shunyuan Zhang
Ordenes, Francisco Villarroel, and Shunyuan Zhang. "From Words to Pixels: Text and Image Mining Methods for Service Research." Journal of Service Management 30, no. 5 (2019): 593–620.
- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a...
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Wang, Franklyn, Ravi Jagadeesan, and Scott Duke Kominers. "Optimizing Reserves in School Choice: A Dynamic Programming Approach." Operations Research Letters 47, no. 5 (September 2019): 438–446.
- 2019
- Working Paper
The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as...
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Keywords:
Open Source;
Future Of Work;
Software Development;
Knowledge Work;
Online Community;
Learning;
Knowledge Sharing;
Applications and Software;
Open Source Distribution;
Performance Productivity
Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
- 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,...
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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.
- July 2019
- Article
Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation
By: Samuel Antill and Steven R. Grenadier
We model a firm’s optimal capital structure decision in a framework in which it may later choose to enter either Chapter 11 reorganization or Chapter 7 liquidation. Creditors anticipate equityholders’ ex-post reorganization incentives and price them into the ex-ante...
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Keywords:
Default;
Dynamic Bargaining;
Capital Structure;
Insolvency and Bankruptcy;
Mathematical Methods
Antill, Samuel, and Steven R. Grenadier. "Optimal Capital Structure and Bankruptcy Choice: Dynamic Bargaining vs Liquidation." Journal of Financial Economics 133, no. 1 (July 2019): 198–224.
- 2019
- Article
Ridesharing with Driver Location Preferences
By: Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma and David C. Parkes
We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize...
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Keywords:
Ridesharing;
Pricing;
Compensation and Benefits;
Geographic Location;
Market Design;
Mathematical Methods
Rheingans-Yoo, Duncan, Scott Duke Kominers, Hongyao Ma, and David C. Parkes. "Ridesharing with Driver Location Preferences." Proceedings of the International Joint Conference on Artificial Intelligence (2019): 557–564.
- December 2019
- Article
Understanding Retirement Requires Getting Inside People's Stories: A Call for More Qualitative Research
Amabile, Teresa M. "Understanding Retirement Requires Getting Inside People's Stories: A Call for More Qualitative Research." Work, Aging and Retirement 5, no. 3 (July 2019): 207–211.
- 2020
- Working Paper
To Infinity and Beyond: Scaling Economic Theories via Logical Compactness
By: Yannai A. Gonczarowski, Scott Duke Kominers and Ran I. Shorrer
Many economic-theoretic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. Such assumptions introduce a conceptual problem, as results that rely on finiteness are often implicitly nonrobust; for example,...
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Gonczarowski, Yannai A., Scott Duke Kominers, and Ran I. Shorrer. "To Infinity and Beyond: Scaling Economic Theories via Logical Compactness." Harvard Business School Working Paper, No. 19-127, June 2019. (Revised November 2020.)
- June 2019
- Article
Learning to Become a Taste Expert
By: Kathryn A. Latour and John A. Deighton
Evidence suggests that consumers seek to become more expert about hedonic products to enhance their enjoyment of future consumption occasions. Current approaches to becoming expert center on cultivating an analytic mindset. In the present research the authors explore...
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Latour, Kathryn A., and John A. Deighton. "Learning to Become a Taste Expert." Journal of Consumer Research 46, no. 1 (June 2019): 1–19.
- Article
Four Things No One Will Tell You About ESG Data
By: Sakis Kotsantonis and George Serafeim
As the ESG finance field and the use of ESG data in investment decision-making continue to grow, the authors seek to shed light on several important aspects of ESG measurement and data. This article is intended to provide a useful guide for the rapidly rising number of...
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Keywords:
ESG;
ESG (Environmental, Social, Governance) Performance;
ESG Reporting;
Data Analytics;
Sustainability;
Sustainability Reporting;
CSR;
Transparency;
Investment Management;
Socially Responsible Investing;
Sustainable Finance;
Sustainable Development;
Inclusion;
Inclusive Growth;
Corporate Social Responsibility and Impact;
Corporate Accountability;
Investment;
Management;
Climate Change;
Corporate Governance;
Diversity;
Integrated Corporate Reporting
Kotsantonis, Sakis, and George Serafeim. "Four Things No One Will Tell You About ESG Data." Journal of Applied Corporate Finance 31, no. 2 (Spring 2019): 50–58.
- March 2019 (Revised May 2019)
- Case
Fetchr: A New Way of Last Mile Delivery
By: V.G. Narayanan and Eren Kuzucu
By mid-2016, five years of aggressive growth had transformed Fetchr from a small logistics startup to a 1,000-employee, full-fledged last-mile delivery company operating across four countries in the Middle East and North Africa (MENA). Already beneficiaries of the...
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Keywords:
Startup;
Decision;
Financial Strategy;
UAE;
KSA;
MENA;
Cost Accounting;
Business Model;
Business Startups;
Transformation;
Cost Management;
Strategy;
Disruptive Innovation;
Technological Innovation;
Growth and Development Strategy;
Growth Management;
Logistics;
Service Delivery;
Supply Chain Management;
Performance Evaluation;
Mathematical Methods;
Mobile and Wireless Technology;
Transportation Networks;
Middle East;
United Arab Emirates;
Dubai;
Bahrain;
Egypt;
Saudi Arabia;
North Africa
Narayanan, V.G., and Eren Kuzucu. "Fetchr: A New Way of Last Mile Delivery." Harvard Business School Case 119-018, March 2019. (Revised May 2019.)
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Customer Value and Value Chain;
Consumer Behavior;
Analytics and Data Science;
Mathematical Methods;
Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- January 2019
- Supplement
Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis
By: Jill Avery and Gerald Zaltman
In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar...
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Keywords:
Brand Management;
Market Research;
Brand Positioning;
Value Proposition;
Consumer Products;
Fast Moving Consumer Goods;
Qualitative Methods;
Zaltman Metaphor Elicitation Technique;
ZMET;
Data Analysis;
Marketing;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Marketing Communications;
Analytics and Data Science;
Analysis;
Consumer Products Industry;
Food and Beverage Industry;
Advertising Industry;
United States;
North America;
Italy
Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis." Harvard Business School Supplement 519-062, January 2019.
- January 2019
- Case
Understanding the Brand Equity of Nestlé Crunch Bar: A Market Research Case
By: Jill Avery and Gerald Zaltman
In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the terms of the Nestlé acquisition, each of the purchased...
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Keywords:
Brand Equity;
Marketing;
Market Research;
Qualitative Research;
Marketing Communication;
Customer Satisfaction;
Brands and Branding;
Consumer Behavior;
Marketing Communications;
Marketing Strategy;
Food and Beverage Industry;
United States;
North America;
Italy
Avery, Jill, and Gerald Zaltman. "Understanding the Brand Equity of Nestlé Crunch Bar: A Market Research Case." Harvard Business School Case 519-061, January 2019.
- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and...
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Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." NBER Working Paper Series, No. 25399, December 2018.
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must...
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Keywords:
Online Marketing;
Revenue Management;
Revenue;
Management;
Marketing;
Internet and the Web;
Price;
Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- November 2018
- Case
Sportradar (A): From Data to Storytelling
By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann
In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on...
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Keywords:
Sports Data;
Data;
Sport;
Sportradar;
Football;
Soccer;
Gambling;
Betting;
Betting Markets;
Statistics;
Odds;
Live Data;
Bookmakers;
Betradar;
Visualization;
Integrity;
Monitoring;
Gaming;
Streaming;
2013;
St.Gallen;
Algorithm;
Mathematical Modeling;
Carsten Koerl;
Betandwin;
Bwin;
Wagering;
Probability;
Sports;
Analytics and Data Science;
Mathematical Methods;
Games, Gaming, and Gambling;
Transition;
Strategy;
Media;
Sports Industry;
Technology Industry;
Information Technology Industry;
Media and Broadcasting Industry;
Europe;
Switzerland;
Asia;
Austria;
Germany;
England
Casadesus-Masanell, Ramon, Karen Elterman, and Oliver Gassmann. "Sportradar (A): From Data to Storytelling." Harvard Business School Case 719-429, November 2018.