Research

Photo taken at the Universitet van Amsterdam during the 2019 biennial meeting of the International Society for Research on Emotions (ISRE),.

RESEARCH INTERESTS

My research primarily focuses on (1) the influences of emotions in the workplace, and (2) justice-related and ethical issues in the workplace. An important theme that cuts across all of my research is that I attempt to push back against various assumptions made by researchers and laypersons alike regarding what is "good" and what is "bad".  For example, research that I conduct with my colleagues has illustrated that (a) people can react to envy constructively, despite it being an unpleasant emotion, (b) distractions can sometimes improve task performance, particularly when the task is simple, and (c) social support from coworkers can make highly cynical people less satisfied with their jobs.  In doing so, I hope that my research will promote a more nuanced consideration of the work context, and lead to more targeted organizational interventions that foster a psychologically healthy and productive work environment.

EMOTIONS IN THE WORKPLACE

In my research on emotions, I examine a variety of questions including:

Much of this research follows a social-functional view of emotions: each emotion exists to help people navigate their social environments, and the broader context determines whether an emotion leads to favorable or unfavorable consequences for the self, others, and the organization.  Studying emotions has allowed me to branch into various other research areas, such as personality, music and distraction, social comparison, and more.

JUSTICE ISSUES AT WORK

I study justice-related and ethical issues in the workplace. My interest in this area emerged from studying the complex relationship between envy and injustice. Currently, I am interested in fairness-related and ethical issues within hiring contexts, particularly those involving artificial intelligence (AI) and machine learning (ML). My research suggests that job candidates are less likely to see the potential benefits of AI/ML than their organizational counterparts, and express concerns about the fairness of these systems. I am now actively investigating (a) what factors drive these perceptions of unfairness among job candidates, and (b) how organizations might address candidates' concerns about AI/ML.

PUBLICATIONS


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