Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple computational techniques (i.e., algorithmic fairness criteria) have arisen out of this work. Yet, urgent questions remain about the perceived fairness of...

Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk analysis, and customer...

Women are underrepresented in patenting and the gap is not closing quickly. One major roadblock to progress is a dearth of causal evidence on the potential effectiveness of policies to reduce the gender gap in patenting. Analyzing a randomized control trial at the United States Patent and...

Prior research argues that USPTO first-action allowance rates increase with examiner seniority and experience, suggesting lower patent quality. However, we show that the increased use of examiner's amendments account for this prior empirical finding. Further, the mechanism reduces patent...

In this article, we discuss the role of moral character in negotiation and identify open questions and promising directions for future scholars to explore. We advance research in this area by introducing a dyadic model of moral character in negotiation, which highlights the joint influence of...

In two three-month diary studies and a large cross-sectional survey, we identified distinguishing features of adults with low versus high levels of moral character. Adults with high levels of moral character tend to consider the needs and interests of others and how their actions affect other...