معرفی
Stephan Dilchert is an Associate Professor at the Zicklin School of Business, City University of New York (CUNY), where he serves as the Academic Director of the Executive MBA Program. He is affiliated with the Narendra Paul Loomba Department of Management. Previously, Dr. Dilchert served as Academic Director of the school's Executive Master's in Human Resource Management for seven years, demonstrating his leadership in executive education.
Dr. Dilchert earned his PhD in Industrial/Organizational Psychology from the University of Minnesota in 2008. He also holds professional certifications including SPHR from the Human Resources Certification Institute (2014) and SHRM-SCP from the Society for Human Resource Management (2015), which complement his academic credentials with practical HR expertise.
His research focuses on the influence of human capital characteristics such as personality and intelligence on employee job performance, including creativity and counterproductivity. Dr. Dilchert has published extensively in top journals and has co-edited the book 'Managing human resources for environmental sustainability.' His recent work has increasingly incorporated wearable sensor technology to examine physiological correlates of workplace behaviors and health outcomes, particularly through the TemPredict study. His research spans talent acquisition, people analytics, employee assessment, counterproductive work behaviors, and environmental sustainability.
Dr. Dilchert's recent publications (2022-2025) reveal a strong interdisciplinary approach combining organizational psychology with digital health technologies. His work demonstrates growing interest in sex differences in physiological responses, environmental sustainability in organizations, and personality-environment alignment at work. The TemPredict study has been particularly influential in using wearable devices for early detection of health conditions including COVID-19, with significant contributions to understanding how physiological data relates to workplace behaviors and health outcomes.
In his applied work, Dr. Dilchert has developed assessments and designed staffing and feedback systems for multinational corporations (P&G, MetLife, Otis, DHL), government agencies (Department of Justice, State of California), and international organizations (United Nations, Disability Rights Advocates). He has collaborated extensively with researchers including Deniz Ones and Boris Wiernik on meta-analytic studies examining personality-work relationships across cultural contexts.
Dr. Dilchert teaches courses related to human resources, organizational behavior, and human capital management at both graduate and doctoral levels. His teaching portfolio includes 'HR Metrics and People Analytics,' 'Human Resources,' 'Fundamentals of Management,' and 'Human Capital & the Triple Bottom Line,' reflecting the breadth of his expertise in connecting individual differences to organizational outcomes.
