The paper discusses the integration of qualitative and quantitative methods in information systems research, using a case study of a computer information system implementation in a university medical center. The study aimed to understand the impact of the system on laboratory technologists. Researchers conducted interviews, observations, and a survey to gather data. Qualitative methods revealed themes such as increased workload and improved reporting, while quantitative analysis identified differences in responses among laboratories. Factor analysis showed that job characteristics and computer system measures were not correlated, suggesting that the computer system did not significantly affect job roles. A theoretical model was developed based on qualitative data, explaining differences in responses. The model indicated that some technologists viewed their jobs as producing results reports (product-oriented), while others saw their roles as conducting laboratory tests (process-oriented). Two variables were created to measure these orientations, showing a significant negative correlation. Orientation scores revealed that some laboratories were more process-oriented than others, with corresponding attitudes towards the computer system. The study highlights the value of combining qualitative and quantitative methods, leading to a deeper understanding of information systems. It also suggests that standard job characteristic measures are inadequate for assessing interactions between users and computer systems. The study emphasizes the need for context-specific measures and a focus on processes rather than outcomes. The findings suggest that information systems research should employ a variety of approaches to capture the complexity of the discipline. The paper concludes that a combination of methods provides a richer understanding of information systems and their impact on users.The paper discusses the integration of qualitative and quantitative methods in information systems research, using a case study of a computer information system implementation in a university medical center. The study aimed to understand the impact of the system on laboratory technologists. Researchers conducted interviews, observations, and a survey to gather data. Qualitative methods revealed themes such as increased workload and improved reporting, while quantitative analysis identified differences in responses among laboratories. Factor analysis showed that job characteristics and computer system measures were not correlated, suggesting that the computer system did not significantly affect job roles. A theoretical model was developed based on qualitative data, explaining differences in responses. The model indicated that some technologists viewed their jobs as producing results reports (product-oriented), while others saw their roles as conducting laboratory tests (process-oriented). Two variables were created to measure these orientations, showing a significant negative correlation. Orientation scores revealed that some laboratories were more process-oriented than others, with corresponding attitudes towards the computer system. The study highlights the value of combining qualitative and quantitative methods, leading to a deeper understanding of information systems. It also suggests that standard job characteristic measures are inadequate for assessing interactions between users and computer systems. The study emphasizes the need for context-specific measures and a focus on processes rather than outcomes. The findings suggest that information systems research should employ a variety of approaches to capture the complexity of the discipline. The paper concludes that a combination of methods provides a richer understanding of information systems and their impact on users.