Business Process Management (BPM) maximizes firm performance by transforming isolated functional activities into streamlined, cross-functional processes. Being a relatively new discipline, disagreement exists regarding the position structure and qualifications required for success. However, certain individual differences have been associated with job performance, both in general and for specific occupations. Because BPM initiatives can be expensive and risky, understanding these individual differences may help practitioners improve their chances for BPM job success. Two models of job performance have dominated organizational research; one argues that personality traits are the chief determinants, while the other argues that intelligence and experience are most important. This paper uses logistic regression to examine the efficacy of each model in predicting job performance among BPM professionals. 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