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About

Joel Koopman has established himself as a leading voice at the intersection of organizational behavior and emerging technology, with particular expertise in how intelligent machines — including artificial intelligence, algorithms, and robots — reshape the modern workplace. His most celebrated contribution, "When Conscientious Employees Meet Intelligent Machines" (2021, 290 citations), offers a groundbreaking integrative framework drawing on complementarity theory and role theory to reexamine one of industrial-organizational psychology's most enduring findings: that conscientiousness predicts job performance. Koopman challenges this consensus by demonstrating that traditional 20th-century assumptions about technology fundamentally shaped that relationship, raising provocative questions about how AI-era workplaces may alter the landscape of personality-performance dynamics. His subsequent work explores the human costs of robot integration, revealing through field and experimental evidence that robot adoption during the COVID-19 pandemic contributed to "passion decay" among employees — a finding with significant managerial implications. Most recently, Koopman has extended his lens to stakeholder theory, mapping how intelligent machines affect diverse organizational actors amid the Fourth Industrial Revolution. Collectively, his research equips scholars and practitioners with rigorous, psychologically grounded frameworks for navigating an era of accelerating automation.