Research

Overview

I study how economic pressure and unsafe work conditions shape worker behavior, well-being, and organizational outcomes. My work sits at the intersection of occupational health psychology, organizational science, and applied psychometrics, with a particular focus on workers in precarious and high-risk environments.

Across projects, I examine how structural constraints, such as financial strain, job insecurity, and limited alternatives, become embedded in everyday workplace experiences. My goal is to generate research that advances theory and informs the design of safer, fairer, and more resilient organizations.

Approach

Across all projects, my research is guided by three principles:

1. Context matters. Work cannot be understood independently of the broader economic and social conditions in which it is embedded.

2. Vulnerability is patterned: Risk exposure is not evenly distributed; understanding who bears risks, and why, is central to organizational research.

3. Research should translate: Empirical insights should inform how organizations are designed, managed, and regulated to improve worker outcomes.

Research Areas

Economic stress. This line of research examines how worries about money shape cognition, decision-making, and behavior in organizational contexts. Instead of treating work and economic life as separate domains, it focuses on how external financial pressures influence performance, well-being, and other workplace outcomes.

Themes: financial stress · job insecurity · inequality at work

Workplace safety. This line of research examines how formal safety policies are translated into everyday practices. It focuses on how workers interpret, enact, and at times negotiate these policies under conditions shaped by competing demands such as productivity pressures and technological changes.

Themes: safety voice · safety climate · accident underreporting

Applied quantitative methods. This line of research focuses on strengthening the rigor and inclusivity of measurement in organizational research. It examines how commonly used methods and assumptions, particularly in areas such as structural equation modeling and construct validation, perform in applied settings and with diverse populations.

Themes: validity · structural equation modeling · multilevel modeling