Opportunities and Risks in Belief Distribution Elicitations

Funded Research Proposal

Researchers and practitioners have increasingly embraced the novel practice of eliciting the entire belief distributions, as it provides a more thorough understanding of stakeholders’ beliefs. My recent paper (co-authored with Professor Joe Simmons) suggests that constructing belief distributions can sometimes inadvertently exacerbate people’s overconfidence in their predictions.Read More

The Prevalence and Consequences of Algorithms in Hiring: A Field Experiment

Funded Research Proposal

We conduct an audit study to measure the prevalence and impact of AI hiring applications on job applicants. We apply to thousands of jobs, treating half of our application resumes by embedding the job posting within the resume such that machines have access to the job posting text when screening candidates, but human evaluators would not. We can then evaluate if algorithmic resume screening is more likely to select resumes that are a closer match to postings. By also varying applicant race and gender, we can determine if these algorithmic selection algorithms have a differential impact on candidates from underrepresented backgrounds.Read More

Clicks Bias in Editorial Decisions: How Does Popularity Shape Online News Coverage?

Published Research

Identifying whether newspaper editors focus on what is newsworthy or what is trendy when choosing stories is important for the design of media regulation. This column shows how the popularity of an article, reflected by online clicks, influences the coverage of the story.Read More

Adoption of Predictive Analytics: Impact of Model Interpretability

Funded Research Proposal

One of the most important trends in business in recent years has been the growth of Big Data and predictive analytics. The trend started with traditional analytics and the emergence of decision support systems. With advances in machine learning (ML), systems can now take in large amounts of data, learn how human decision-makers have made decisions in the past, and make decisions autonomously (achieving human-level or superhuman performance in many activities). Read More

Bias-aware AI for Human Capital Management: An Innovative Approach for Algorithmic Job Screening

Funded Research Proposal

A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. Read More

Organizational Decision-Making and Information: Angel Investments by Venture Capital Partners

Working Papers

We study information aggregation in organizational decision-making for the financing of entrepreneurial ventures. We introduce a formal model of voting where agents face costly tacit information to improve their decision quality.Read More

Recognizing creative leadership: Can creative idea expression negatively relate to perceptions of leadership potential? 

Published Research

Drawing on and extending prototype theories of creativity and leadership, we theorize that the expression of creative ideas may diminish judgments of leadership potential unless the charismatic leadership prototype is activated in the minds of social perceivers. Study 1 shows creative idea expression is negatively related to perceptions of leadership potential in a sample of employees working in jobs that required creative problem solving.Read More

Price Effects in Online Product Reviews: An Analytical Model and Empirical Analysis

Published Research

Consumer reviews may reflect not only perceived quality but also the difference between quality and price (perceived value). In markets where product prices change frequently, these price-influenced reviews may be biased as a signal of product quality when used by consumers possessing no knowledge of historical prices.Read More

The Bias Against Creativity: Why People Desire But Reject Creative Ideas

Published Research

People often reject creative ideas even when espousing creativity as a desired goal. To explain this paradox, we propose that people can hold a bias against creativity that is not necessarily overt, and which is activated when people experience a motivation to reduce uncertainty.Read More