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- All HBS Web
(2,459)
- Faculty Publications (432)
- 2023
- Working Paper
When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement
By: Ryan W. Buell, Wei Cai and Tatiana Sandino
Gamified training is a novel management control system in which companies use gamification
techniques to engage and motivate employees to learn. This study empirically examines the
performance consequences of gamified training using data from a natural field... View Details
Keywords: Gamified Training; Management Control Systems; Employee Engagement; Employees; Learning; Training; Motivation and Incentives; Performance
Buell, Ryan W., Wei Cai, and Tatiana Sandino. "When Does Gamified Training Improve Performance? The Roles of Office and Leader Engagement." Harvard Business School Working Paper, No. 19-101, March 2019. (Revised October 2023.)
- March 2019 (Revised March 2020)
- Case
Choosing the Right Esports Business Model
By: David Collis and Alexander MacKay
Two esports entrepreneurs must choose on which business model to focus their time and money. After successfully launching an online esports coaching platform, a number of new opportunities emerge in the rapidly growing esports space that now has close to one billion... View Details
Keywords: Entrepreneurial Ecosystems; Business Development; Esports; Business Ventures; Entrepreneurship; Business Model; Management; Strategy; Sports; Entertainment and Recreation Industry; Information Technology Industry; Media and Broadcasting Industry; Sports Industry; Video Game Industry; North and Central America; Europe; Asia
Collis, David, and Alexander MacKay. "Choosing the Right Esports Business Model." Harvard Business School Case 719-459, March 2019. (Revised March 2020.)
- 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... View Details
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.)
- Article
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
By: Katrina Ligett, Seth Neel, Aaron Leon Roth, Bo Waggoner and Steven Wu
Traditional approaches to differential privacy assume a fixed privacy requirement ϵ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it... View Details
Ligett, Katrina, Seth Neel, Aaron Leon Roth, Bo Waggoner, and Steven Wu. "Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM." Journal of Privacy and Confidentiality 9, no. 2 (2019).
- Article
Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability
By: Julian De Freitas, Peter DiScioli, Kyle A. Thomas and Steven Pinker
Why do people esteem anonymous charitable giving? We connect normative theories of charitability
(captured in Maimonides’ Ladder of Charity) with evolutionary theories of partner choice to test predictions on how attributions of charitability are affected by states of... View Details
Keywords: Charity; Reciprocity; Partner Choice; Common Knowledge; Philanthropy and Charitable Giving; Knowledge; Perception
De Freitas, Julian, Peter DiScioli, Kyle A. Thomas, and Steven Pinker. "Maimonides' Ladder: States of Mutual Knowledge and the Perception of Charitability." Journal of Experimental Psychology: General 148, no. 1 (January 2019): 158–173.
- December 2018 (Revised May 2019)
- Case
Darling Ingredients International
By: David E. Bell and Natalie Kindred
Led by CEO Randall Stuewe, Texas-based Darling Ingredients International was a rendering firm with $3.7 billion in 2017 revenues. Since 2003, Darling had transformed from U.S. focused into a global player in the processing of biological waste from meat and foodservice... View Details
Keywords: Darling; Ingredients; Stuewe; Rendering; Animal Byproducts; Used Cooking Oil; UCO; Diamond Green Diesel; DGD; Valero; Renewable Diesel; Biofuel; Recycling; Carbon; LCFS; Blend; Blender; Strategy; Corporate Strategy; Renewable Energy; Food; Agribusiness; Expansion; Diversification; Growth Management; Technological Innovation; Policy; Government Legislation; Agriculture and Agribusiness Industry; Energy Industry; Food and Beverage Industry; United States; Louisiana; California; Texas
Bell, David E., and Natalie Kindred. "Darling Ingredients International." Harvard Business School Case 519-048, December 2018. (Revised May 2019.)
- 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.
- 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... View Details
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.
- October 2018 (Revised February 2018)
- Case
Masayoshi Son and the Vision Fund
In October 2016, SoftBank Group Corp., the Japanese conglomerate giant caused a significant shock to the worldwide market for venture capital and private equity by announcing the Vision Fund, the largest tech investment fund in the world at close to $100 billion. The... View Details
Nicholas, Tom, Ramana Nanda, and Benjamin N. Roth. "Masayoshi Son and the Vision Fund." Harvard Business School Case 819-041, October 2018. (Revised February 2018.)
- October 2018 (Revised September 2022)
- Case
Stock-Based Compensation at Twitter
By: Jonas Heese, Zeya Yang and Mike Young
Olivia Nash, an analyst at leading hedge fund BlueShark Capital Management, had just finished listening to the hour-long earnings call for Twitter’s Q4 2017 results. Was Twitter doing well? That depended on which numbers she chose to believe. According to Generally... View Details
Keywords: Twitter; Non-GAAP Disclosure; Stock-based Compensation; Earnings Management; Corporate Disclosure; Compensation and Benefits; Stocks; Measurement and Metrics
Heese, Jonas, Zeya Yang, and Mike Young. "Stock-Based Compensation at Twitter." Harvard Business School Case 119-032, October 2018. (Revised September 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.)
- 2018
- Working Paper
The State of Open Source Server Software
By: Shane Greenstein and Klaus Ackermann
The study assembles new data to construct a census of worldwide web server use across the globe. We document a large concentration of investment in the United States, and a wide dispersion across scores of countries. We find tens of billions of dollars of unmeasured... View Details
Keywords: Internet; Open Source; Internet and the Web; Policy; Open Source Distribution; Internet and the Web; Global Range
Greenstein, Shane, and Klaus Ackermann. "The State of Open Source Server Software." Working Paper, September 2018.
- August 28, 2018
- Article
Maintaining Trust When Agents Can Engage in Self-deception
By: Andres Babino, Hernan A. Makse, Rafael Di Tella and Mariano Sigman
The coexistence of cooperation and selfish instincts is a remarkable characteristic of humans. Psychological research has unveiled the cognitive mechanisms behind self-deception. Two important findings are that a higher ambiguity about others’ social preferences leads... View Details
Keywords: Behavioral Economics; Cognitive Neuroscience; Corruption; Cooperation; Self-deception; Trust; Behavior
Babino, Andres, Hernan A. Makse, Rafael Di Tella, and Mariano Sigman. "Maintaining Trust When Agents Can Engage in Self-deception." Proceedings of the National Academy of Sciences 115, no. 35 (August 28, 2018): 8728–8733.
- August 2018
- Case
Israel—An Energy Leviathan?
In the last decade, Noble Energy and the Delek Group have discovered almost 40 trillion cubic feet of natural gas offshore of Israel. For Israel, this has been an extraordinary turnaround, from energy dependence on Arab producers to energy independence and exporter.... View Details
Keywords: Natural Gas; Energy; Energy Sources; Opportunities; Problems and Challenges; Energy Industry; Israel
Vietor, Richard H.K. "Israel—An Energy Leviathan?" Harvard Business School Case 719-004, August 2018.
- 2018
- Working Paper
Black Out-Migration and Southern Political Realignment
By: Leah Boustan and Marco Tabellini
Can emigration from less democratic and economically less developed areas induce political and economic change? We study this question in the context of the second Great Migration of African Americans (1940–1970), when more than 4 million blacks left the U.S. South and... View Details
- July 2018
- Article
Revisiting the Classical View of Benefit-Based Taxation
This article incorporates into modern optimal tax theory the classical logic of benefit‐based taxation in which an individual's benefit from the activities of the state is tied to his or her income‐earning ability. First‐best optimal policy is characterized... View Details
Weinzierl, Matthew. "Revisiting the Classical View of Benefit-Based Taxation." Economic Journal 128, no. 612 (July 2018): F37–F64. (Also Harvard Business School Working Paper, No. 14-101, April 2014.)
- 2018
- Working Paper
The Impact of Pensions and Insurance on Global Yield Curves
By: Robin Greenwood and Annette Vissing-Jorgensen
We document a strong effect of pension and insurance company (P&I) assets on the long end of the yield curve. Using data from 26 countries, the yield spread between 30-year and 10-year government bond yields is negatively related to the ratio of pension assets (in... View Details
Greenwood, Robin, and Annette Vissing-Jorgensen. "The Impact of Pensions and Insurance on Global Yield Curves." Harvard Business School Working Paper, No. 18-109, June 2018. (Revised December 2018.)
- June 2018
- Article
Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged
By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across... View Details
Keywords: Customer Engagement; Adoption Routes; Word-of-Mouth; Digital Marketing; Bayesian Estimation; Customers; Communication; Consumer Behavior; Marketing; Internet and the Web; Analytics and Data Science
Lee, Clarence, Elie Ofek, and Thomas Steenburgh. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged." Management Science 64, no. 6 (June 2018): 2473–2495. (Lead Article.)
- April 2018
- Case
Wilderness Safaris: Ecotourism Entrepreneurship
By: James E. Austin, Megan Epler Wood and Herman B. "Dutch" Leonard
Wilderness Safaris sees itself as a conservation company that is built on a business model of providing high-end, premium-priced wildlife safaris in various locations in Africa. Dependent on functioning, healthy ecosystems for its long-term survivability as a business,... View Details
Keywords: Sustainability; Conservation Planning; Corporate Social Responsibility; Ecotourism; Strategy; Social Enterprise; Social Entrepreneurship; Environmental Sustainability; Corporate Social Responsibility and Impact; Expansion; Growth and Development Strategy; Tourism Industry; Entertainment and Recreation Industry; Travel Industry; Africa; Botswana
Austin, James E., Megan Epler Wood, and Herman B. "Dutch" Leonard. "Wilderness Safaris: Ecotourism Entrepreneurship." Harvard Business School Case 318-040, April 2018.
- April 2018
- Article
Consumers Avoid Buying from Firms with Higher CEO-to-Worker Pay Ratios
By: Bhavya Mohan, Tobias Schlager, Rohit Deshpandé and Michael I. Norton
We document a novel driver of consumer behavior: pay ratio disclosure. Swiss corporation performance data gathered during a legally mandated pay ratio referendum reveals that salient high pay ratios are associated with decreased firm sales (Pilot Study). An... View Details
Keywords: Pay Ratio; Wage Fairness; Purchase Intention; Customers; Wages; Fairness; Consumer Behavior
Mohan, Bhavya, Tobias Schlager, Rohit Deshpandé, and Michael I. Norton. "Consumers Avoid Buying from Firms with Higher CEO-to-Worker Pay Ratios." Special Issue on Marketplace Morality. Journal of Consumer Psychology 28, no. 2 (April 2018): 344–352.