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(1,533)
- Faculty Publications (241)
- 2023
- Working Paper
Personalized Game Design for Improved User Retention and Monetization in Freemium Games
By: Eva Ascarza, Oded Netzer and Julian Runge
One of the most crucial aspects and significant levers that gaming companies possess in designing
digital games is setting the level of difficulty, which essentially regulates the user’s ability to
progress within the game. This aspect is particularly significant in... View Details
Keywords: Freemium; Retention/churn; Field Experiment; Field Experiments; Gaming; Gaming Industry; Mobile App; Mobile App Industry; Monetization; Monetization Strategy; Games, Gaming, and Gambling; Mobile and Wireless Technology; Customers; Retention; Product Design; Strategy
Ascarza, Eva, Oded Netzer, and Julian Runge. "Personalized Game Design for Improved User Retention and Monetization in Freemium Games." Harvard Business School Working Paper, No. 21-062, November 2020. (Revised December 2023.)
- November 2020 (Revised March 2022)
- Teaching Note
Social Salary Setting at Spiber
By: Ashley Whillans and John Beshears
Teaching Note for HBS Case No. 920-050. The case tells the story of Spiber, a Japanese technology start-up company. To reflect the company’s values, the leadership team implemented a new and unique salary-setting process: each employee had the authority to choose their... View Details
- October 2020 (Revised March 2022)
- Case
The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)
By: Ashley V. Whillans and Shibeal O'Flaherty
This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
Keywords: Non-cash Compensation; Behavioral Science; Employees; Welfare; Compensation and Benefits; Well-being; United Kingdom
Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)." Harvard Business School Case 921-020, October 2020. (Revised March 2022.)
- October 2020 (Revised March 2022)
- Supplement
The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)
By: Ashley V. Whillans and Shibeal O'Flaherty
This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
Keywords: Non-cash Compensation; Behavioral Science; Employees; Well-being; Compensation and Benefits; United Kingdom
Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)." Harvard Business School Supplement 921-022, October 2020. (Revised March 2022.)
- 2022
- Working Paper
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
By: Shai Bernstein, Richard Townsend and Ting Xu
Using proprietary data from AngelList Talent, we study how individuals’ job search and application behavior changed during the COVID-19 downturn. We find that job seekers shifted their searches toward more established firms and away from early-stage startups, even... View Details
Keywords: Startup Labor Market; Flight To Safety; COVID-19; Recession; Business Startups; Human Capital; Business Cycles; Health Pandemics
Bernstein, Shai, Richard Townsend, and Ting Xu. "Flight to Safety: How Economic Downturns Affect Talent Flows to Startups." Harvard Business School Working Paper, No. 21-045, September 2020. (Revised March 2022.)
- October 2020
- Article
Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance
By: Diwas S. KC, Bradley R. Staats, Maryam Kouchaki and Francesca Gino
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can decrease their service time, up to a point, in order to complete work... View Details
Keywords: Healthcare; Knowledge Work; Discretion; Workload; Employees; Health Care and Treatment; Decision Making; Performance Effectiveness; Performance Productivity
KC, Diwas S., Bradley R. Staats, Maryam Kouchaki, and Francesca Gino. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Long-Term Performance." Management Science 66, no. 10 (October 2020).
- September 2020
- Case
Uber at a Crossroads (2017)
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the history of Uber, its business model—including the ways it differed from that of the traditional taxi industry—and its competition with Lyft. The case is set in 2017, a year in which Uber was plagued by even more scandals than usual, though its... View Details
Keywords: Business Startups; Business Model; Customer Satisfaction; Fairness; Values and Beliefs; Price; Profit; Revenue; Investment; Government Legislation; Business History; Compensation and Benefits; Resignation and Termination; Employment; Wages; Lawfulness; Leadership Style; Leading Change; Management Style; Market Entry and Exit; Digital Platforms; Product Design; Organizational Culture; Problems and Challenges; Attitudes; Strategy; Competitive Strategy; Expansion; Transportation Networks; Mobile and Wireless Technology; Valuation; Transportation Industry; Technology Industry; United States
Casadesus-Masanell, Ramon, and Karen Elterman. "Uber at a Crossroads (2017)." Harvard Business School Case 721-376, September 2020.
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- 2020
- Working Paper
Consumers Punish Firms That Cut Employee Pay in Response to COVID-19
By: Bhavya Mohan, Serena Hagerty and Michael Norton
Two experiments, including one incentive compatible study, examine the impact of cutting pay for executives versus employees in response to COVID-19 on consumer behavior. Study 1 explores the effect of announcing cuts or no cuts to CEO and employee pay, and shows that... View Details
Keywords: Employee Furloughs; CEO Pay Cuts; Pay Ratios; Purchase Intention; Health Pandemics; Employees; Wages; Executive Compensation; Consumer Behavior
Mohan, Bhavya, Serena Hagerty, and Michael Norton. "Consumers Punish Firms That Cut Employee Pay in Response to COVID-19." Harvard Business School Working Paper, No. 21-020, August 2020.
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- Article
Active World Model Learning with Progress Curiosity
By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins
World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details
Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber, and Daniel Yamins. "Active World Model Learning with Progress Curiosity." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- March 24, 2020
- Article
Delayed Negative Effects of Prosocial Spending on Happiness
By: Armin Falk and Thomas Graeber
Does prosocial behavior promote happiness? We test this longstanding hypothesis in a behavioral experiment that extends the scope of previous research. In our Saving a Life paradigm, every participant either saved one human life in expectation by triggering a targeted... View Details
Falk, Armin, and Thomas Graeber. "Delayed Negative Effects of Prosocial Spending on Happiness." Proceedings of the National Academy of Sciences 117, no. 12 (March 24, 2020): 6463–6468.
- March 2020 (Revised August 2020)
- Case
Culture at Google
By: Nien-hê Hsieh, Amy Klopfenstein and Sarah Mehta
Beginning in 2017, technology (tech) company Google faced a series of employee-relations issues that threatened its unique culture of innovation and open communication. Issues included protests surrounding Google’s contracts with the U.S. government, restrictions of... View Details
Keywords: Human Resources; Employee Relationship Management; Recruitment; Retention; Resignation and Termination; Labor; Working Conditions; Employment; Labor Unions; Wages; Law; Lawsuits and Litigation; Rights; Ethics; Values and Beliefs; Fairness; Organizations; Organizational Culture; Mission and Purpose; Social Psychology; Attitudes; Behavior; Conflict Management; Trust; Motivation and Incentives; Prejudice and Bias; Power and Influence; Information Technology; Internet and the Web; Information Infrastructure; Society; Social Issues; Culture; Civil Society or Community; Demographics; Diversity; Ethnicity; Gender; Race; Technology Industry; North and Central America; United States; California
Hsieh, Nien-hê, Amy Klopfenstein, and Sarah Mehta. "Culture at Google." Harvard Business School Case 320-050, March 2020. (Revised August 2020.)
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- February 2020
- Article
The Many Minds Problem: Disclosure in Dyadic vs. Group Conversation
By: Gus Cooney, Adam M. Mastroianni, Nicole Abi-Esber and Alison Wood Brooks
What causes people to disclose their preferences or withhold them? Declare their love for each other or keep it a secret? Gossip with a coworker or bite one’s tongue? We argue that to understand disclosure, we need to understand a critical and often overlooked aspect... View Details
Cooney, Gus, Adam M. Mastroianni, Nicole Abi-Esber, and Alison Wood Brooks. "The Many Minds Problem: Disclosure in Dyadic vs. Group Conversation." Special Issue on Privacy and Disclosure, Online and in Social Interactions edited by L. John, D. Tamir, M. Slepian. Current Opinion in Psychology 31 (February 2020): 22–27.
- November–December 2019
- Article
Head, Heart or Hands: How Do Employees Respond to a Radical Global Language Change Over Time?
By: Sebastian Reiche and Tsedal Neeley
To understand how recipients respond to radical change over time across cognitive, affective, and behavioral dimensions, we conducted a longitudinal study of a mandated language change at a Chilean subsidiary of a large U.S. multinational organization. The... View Details
Keywords: Language; Communication; Change; Employees; Attitudes; Emotions; Globalized Firms and Management
Reiche, Sebastian, and Tsedal Neeley. "Head, Heart or Hands: How Do Employees Respond to a Radical Global Language Change Over Time?" Organization Science 30, no. 6 (November–December 2019): 1252–1269.
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details
Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- October 14, 2019
- Article
The Truth About Open Offices: There Are Reasons Why They Don't Produce the Desired Interactions
By: Ethan Bernstein and Ben Waber
It’s never been easier for workers to collaborate—or so it seems. Open, flexible, activity-based spaces are displacing cubicles, making people more visible. Messaging is displacing phone calls, making people more accessible. Enterprise social media such as Slack and... View Details
Keywords: Buildings and Facilities; Interpersonal Communication; Communication Technology; Design; Human Resources; Performance Productivity; Organizational Design
Bernstein, Ethan, and Ben Waber. "The Truth About Open Offices: There Are Reasons Why They Don't Produce the Desired Interactions." Harvard Business Review 97, no. 6 (November–December 2019): 82–91.
- October 2019 (Revised August 2020)
- Case
The Predictive Index
By: Lynda M. Applegate and James Weber
Mike Zani and Daniel Muzquiz needed to decide next steps to create a new category in the human resources consulting industry and scale their company.
Zani and Muzquiz, serial entrepreneurs, acquired Predictive Index in 2014. Previously, as clients of the... View Details
Zani and Muzquiz, serial entrepreneurs, acquired Predictive Index in 2014. Previously, as clients of the... View Details
Keywords: Human Resources; Selection and Staffing; Talent and Talent Management; Recruitment; Corporate Entrepreneurship; Venture Capital; Change Management; Disruptive Innovation; Digital Platforms; Growth and Development Strategy; Consulting Industry; Service Industry; United States
Applegate, Lynda M., and James Weber. "The Predictive Index." Harvard Business School Case 820-034, October 2019. (Revised August 2020.)