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- December 2021
- Article
Partisan Professionals: Evidence from Credit Rating Analysts
By: Elisabeth Kempf and Margarita Tsoutsoura
Partisan perception affects the actions of professionals in the financial sector. Using a novel dataset linking credit rating analysts to party affiliations from voter records, we show that analysts who are not affiliated with the U.S. president’s party downward-adjust... View Details
- November 2021
- Article
Venture Capitalists and COVID-19
By: Paul A. Gompers, Will Gornall, Steven N. Kaplan and Ilya A. Strebulaev
We survey over 1,000 institutional and corporate venture capitalists (VCs) at more than 900 different firms to learn how their decisions and investments have been affected by the COVID-19 pandemic. We compare their survey answers to those provided by a large sample of... View Details
- Article
Potentially Long-Lasting Effects of the Pandemic on Scientists
By: Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani and Dashun Wang
Two surveys of principal investigators conducted between April 2020 and January 2021 reveal that while the COVID-19 pandemic’s initial impacts on scientists’ research time seem alleviated, there has been a decline in the rate of initiating new projects. This dimension... View Details
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details
- Article
Large Banks and Small Firm Lending
By: Vitaly Bord, Victoria Ivashina and Ryan D. Taliaferro
We examine the long-lasting effects of the 2007 real estate price collapse on small business credit supply. Banks affected by the decline in real estate prices systematically contracted their credit to small firms. At the same time, regional and local banks, many of... View Details
- September 2021
- Article
Network Interconnectivity and Entry into Platform Markets
By: Feng Zhu, Xinxin Li, Ehsan Valavi and Marco Iansiti
Digital technologies have led to the emergence of many platforms in our economy today. In certain platform networks, buyers in one market purchase services from providers in many other markets, whereas in others, buyers primarily purchase services from providers within... View Details
- 2017
- Working Paper
Does Financial Misconduct Affect the Future Compensation of Alumni Managers?
By: Boris Groysberg, Eric Lin and Georgios Serafeim
We explore how an organization’s financial misconduct may affect pay for former employees not implicated in wrongdoing. Drawing on stigma theory we hypothesize that although such alumni did not participate in the financial misconduct and they had left the organization... View Details
- August 2021
- Case
Orchadio's First Two Split Experiments
By: Iavor I. Bojinov, Marco Iansiti and David Lane
Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on... View Details
Keywords: Information Management; Technological Innovation; Knowledge Use and Leverage; Resource Allocation; Marketing; Measurement and Metrics; Customization and Personalization; Information Technology; Internet and the Web; Digital Platforms; Information Technology Industry; Food and Beverage Industry
- Article
Measuring the Scientific Effectiveness of Contact Tracing: Evidence from a Natural Experiment
By: Thiemo Fetzer and Thomas Graeber
Contact tracing has for decades been a cornerstone of the public health approach to epidemics, including Ebola, severe acute respiratory syndrome, and now COVID-19. It has not yet been possible, however, to causally assess the method’s effectiveness using a randomized... View Details
- 2021
- Working Paper
Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes
We study how “contextual specialization,” the act of focusing workers’ organizational tasks within a particular locational context, and “contextual non-specialization,” the practice of diversifying workers’ organizational tasks among multiple locational contexts,... View Details
- August 2021
- Article
Anger Damns the Innocent
By: Katherine DeCelles, Gabrielle Adams, Holly S. Howe and Leslie K. John
False accusations of wrongdoing are common and can have grave consequences. In six studies, we document a worrisome paradox in perceivers’ subjective judgments of a suspect’s guilt. Specifically, we find that laypeople (online panelists; N = 4,983) use suspects’ angry... View Details
Keywords: Morality; Accusations; Deception; Guilt; Affect; Emotions; Behavior; Perception; Judgments; Decision Making
- August 2021
- Article
Voter Mobilization and Trust in Electoral Institutions: Evidence from Kenya
By: Benjamin Marx, Vincent Pons and Tavneet Suri
Voter mobilization campaigns face trade-offs in young democracies. In a large-scale experiment implemented in 2013 with the Kenyan Electoral Commission (IEBC), text messages intended to mobilize voters boosted participation but also decreased trust in electoral... View Details
- July 2021
- Article
Invisible Inequality Leads to Punishing the Poor and Rewarding the Rich
By: Oliver P. Hauser, Gordon T. Kraft-Todd, David Rand, Martin A. Nowak and Michael I. Norton
Four experiments examine how the lack of awareness of inequality affects behaviour towards the rich and poor. In Experiment 1, participants who became aware that wealthy individuals donated a smaller percentage of their income switched from rewarding the wealthy to... View Details
Keywords: Income Transparency; Income; Wealth; Equality and Inequality; Knowledge; Behavior; Outcome or Result; Society; Policy
- Article
Learning Models for Actionable Recourse
By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
- 2021
- Working Paper
Public Disclosure of Private Meetings: Does Observing Peers' Information Acquisition Affect Analysts' Attention Allocation?
By: Yi Ru, Ronghuo Zheng and Yuan Zou
We investigate the impact of observing peers’ information acquisition on financial analysts’ attention allocation. Using the timely disclosure mandate by the Shenzhen Stock Exchange as a setting, we find that, when analysts can observe that a firm is visited by other... View Details
- July 2021
- Article
Structuring Local Environments to Avoid Diversity: Anxiety Drives Whites' Geographical and Institutional Self-Segregation Preferences
By: Eric Anicich, Jon M. Jachimowicz, Merrick Osborne and L. Taylor Phillips
The current research explores how local racial diversity affects Whites’ efforts to structure their local communities to avoid incidental intergroup contact. In two experimental studies (N=509; Studies 1a-b), we consider Whites’ choices to structure a fictional,... View Details
- Summer 2021
- Article
The World Management Survey at 18: lessons and the way forward
By: Daniela Scur, Raffaella Sadun, John Van Reenen, Renata Lemos and Nicholas Bloom
Understanding how differences in management ‘best practices’ affect organizational outcomes has been a focus of both theoretical and empirical work in the fields of management, sociology, economics, and public policy. The World Management Survey (WMS) project was born... View Details
- June 18, 2021
- Article
Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent
By: Rembrand Koning, Sampsa Samila and John-Paul Ferguson
Women engage in less commercial patenting and invention than do men, which may affect what is invented. Using text analysis of all U.S. biomedical patents filed from 1976 through 2010, we found that patents with all-female inventor teams are 35% more likely than... View Details
Keywords: Innovation; Gender Bias; Health; Innovation and Invention; Research; Patents; Gender; Prejudice and Bias