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- All HBS Web
(2,918)
- Faculty Publications (967)
- July 2019
- Article
Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)
By: Leslie John, Grant E. Donnelly and Christina A. Roberto
In their commentary, Wilson & Stolarz-Fantino argue that specific design features of our research mean that it cannot have policy implications and that researchers “need to consider profit maximization in menu design or studies are likely to suggest ill-informed... View Details
John, Leslie, Grant E. Donnelly, and Christina A. Roberto. "Using Behavioral Science to Inform the Design of Sugary Drink Portion Limit Policies: Reply to Wilson and Stolarz-Fantino (2018)." Psychological Science 30, no. 7 (July 2019): 1103–1105.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- 2010
- Article
I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity
By: Julian Zlatev
What characteristics of an individual signal trustworthiness to other people? I propose that individuals who care about contentious social issues signal to observers that they have integrity and thus can be trusted. Critically, this signal conveys trustworthiness... View Details
Zlatev, Julian. "I May Not Agree With You, but I Trust You: Caring About Social Issues Signals Integrity." Psychological Science 30, no. 6 (June 2019): 880–892.
- May 2019
- Article
A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image
By: S. Wiley Wakeman, Celia Moore and F. Gino
In six studies, we show that after experiencing a threat to their abilities, individuals who misrepresent their performance as better than it actually is boost their feelings of competence. We situate these findings in the literature on self-protection. We show that... View Details
Keywords: Cheating; Self-perception; Self-protection; Competency and Skills; Identity; Perception; Performance
Wakeman, S. Wiley, Celia Moore, and F. Gino. "A Counterfeit Competence: After Threat, Cheating Boosts One's Self-Image." Journal of Experimental Social Psychology 82 (May 2019): 253–265.
- March 2019 (Revised January 2021)
- Module Note
Strategic Interactions
By: Ashish Nanda
This note provides a perspective and some tools to predict and shape interactions with other players when making strategic decisions. As a strategist, you must consider that your firm’s actions evoke reactions from other players in the market and that, reciprocally,... View Details
Keywords: Strategic Interaction; Value Capture; Strategy; Value Creation; Competition; Competitive Strategy; Education Industry
Nanda, Ashish. "Strategic Interactions." Harvard Business School Module Note 719-501, March 2019. (Revised January 2021.)
- March 2019 (Revised May 2019)
- Case
Growth Investing at Totem Point
By: Suraj Srinivasan, Charles C.Y. Wang and Jonah Goldberg
The case describes the investment of hedge fund, Totem Point Management in Analog Semiconductors (ADI) as a way to discuss forecasting and valuation in growth companies. In June 2016, hedge fund Totem Point invested in ADI at around $55 a share. In general, Totem Point... View Details
Srinivasan, Suraj, Charles C.Y. Wang, and Jonah Goldberg. "Growth Investing at Totem Point." Harvard Business School Case 119-091, March 2019. (Revised May 2019.)
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- February 2019 (Revised August 2019)
- Case
KangaTech
By: Karim R. Lakhani, Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik and Steven Randazzo
On a warm January afternoon in 2019, Steve Saunders, Dave Scerri, Carl Dilena, and Nick Haslam (see Exhibit 1 for biographies), co-founders of KangaTech, wrapped up the latest round of discussions about the future direction of their sports-technology start-up. Focused... View Details
Keywords: Startup; Technology Commercialization; Prototype; Business Startups; Technological Innovation; Sports; Health; Commercialization; Research and Development; Decision Making; Growth and Development Strategy; Technology Industry; Sports Industry; Health Industry; Australia
Lakhani, Karim R., Patrick J. Ferguson, Sarah Fleischer, Jin Hyun Paik, and Steven Randazzo. "KangaTech." Harvard Business School Case 619-049, February 2019. (Revised August 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... 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.)
- 2019
- Article
Fair Algorithms for Learning in Allocation Problems
By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology
Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.
- January 2019
- Article
Bubbles for Fama
By: Robin Greenwood, Andrei Shleifer and Yang You
We evaluate Eugene Fama's claim that stock prices do not exhibit price bubbles. Based on U.S. industry returns 1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio... View Details
Keywords: Bubble; Market Efficiency; Predictability; Price Bubble; Stocks; Price; Forecasting and Prediction
Greenwood, Robin, Andrei Shleifer, and Yang You. "Bubbles for Fama." Journal of Financial Economics 131, no. 1 (January 2019): 20–43. (Internet Appendix Here.)
- Article
Faithful and Customizable Explanations of Black Box Models
By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (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.
- January 2019
- Article
Making Moves Matter: Experimental Evidence on Incentivizing Bureaucrats Through Performance-Based Postings
By: Adnan Q. Khan, Asim Ijaz Khwaja and Benjamin A. Olken
Bureaucracies often post staff to better or worse locations, ostensibly to provide incentives. Yet we know little about whether this works, with heterogeneity in preferences over postings impacting effectiveness. We propose a performance-ranked serial dictatorship... View Details
Keywords: Serial Dictatorship Mechanism; Employment; Geographic Location; Motivation and Incentives; Performance
Khan, Adnan Q., Asim Ijaz Khwaja, and Benjamin A. Olken. "Making Moves Matter: Experimental Evidence on Incentivizing Bureaucrats Through Performance-Based Postings." American Economic Review 109, no. 1 (January 2019): 237–270.
- 2019
- Book
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
By: Shoshana Zuboff
In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details
Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation
Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.