Team-based management is a popular contemporary method of redesigning jobs in order to more effectively utilize the human potential of employees. The use of such management techniques should result in increased satisfaction and team commitment; however, many research studies have failed to demonstrate increases in affective outcomes on the part of the employee. The research question examined in this study is, "What specific job dimensions and situational factors result in higher levels of satisfaction and team commitment?" The Job Characteristics Model (Hackman & Oldham, 1975) provided a basis for this study. The model was designed for individual contributors and has not been extensively used in team research. As expected it was found that within a team-based environment higher levels of the five core job dimensions of skill variety, task identity, task significance, autonomy, and job feedback were associated with increased satisfaction and team commitment. Organization-based self-esteem was found to mediate the relationship between the five core job dimensions and the affective outcome variables. Contrary to expectations, however, it was found that consultative team members experienced higher levels of satisfaction and commitment than substantive team members. In addition, consultative team members reported higher levels of two core job dimensions, skill variety and task significance, and on the overall Job Diagnostic Survey than did substantive team members. These findings have significant implications for companies undergoing organizational redesign and questions whether those companies should implement advanced levels of employee involvement activities if the organizational goal is to increase satisfaction and commitment. The study employed a survey research design in which data was collected using a self-report questionnaire. A heterogeneous sample of 183 team members participating in either a consultative and substantive team from four different companies in nine locations provided the data for this field survey. Multivariate analyses, including hierarchial set regression, were used to test the hypotheses.