Sleep has tremendous importance to organizations as a predictor of employee performance, safety, health, and attitudes. Moreover, sleep is a malleable behavior that may be improved by individual and organizational changes. Despite sleep’s consequential and modifiable nature, little consensus exists regarding its conceptualization or role in causal models of organizational antecedents and consequences. To fill this gap in theoretical knowledge, this study calculated meta-analytic correlations and tested a meta-analytic path model with data obtained from 99 primary studies of sleep among workers in organizations. Meta-analytic correlation identified sleepiness, sleep quality, and sleep quantity as associated with a number of forms of job demands, job control, and job support. Each sleep variable was also associated with a number of individual characteristics, health outcomes, and attitudinal outcomes. Small to moderate relationships were found between the three sleep variables themselves. As a result, a meta-analytic path model was tested that identified all three sleep variables as mediators of the effects of job demands, job control, and job support on important outcomes, like depression, physical strain, job satisfaction, and work-family conflict. The implications of these findings for intervening in organizations and advancing future sleep research are discussed.