This study plans to explore the effect of different quality dimensions of Information Systems on employee outcomes in terms of learning, adaptability, and job satisfaction. The tentative theory will be developed by reviewing the relevant literature. The hypotheses will then be deducted and tested from the data collected through a questionnaire survey. This research will use a one-time survey to obtain research data from the financial services firms. A five-point Likert scale will be used, and a structured survey questionnaire will be administered to employees: mainly top-level management, middle-level management, and bottom-level management. The partial least squares (PLS) approach will be employed to test the research model. Using the bootstrapping algorithm of PLS, the structural model will be tested to see whether it is statistically significant. The research questions studying the relationships between quality dimensions and employee outcomes will be established using standard statistical measures. Reliability and validity tests will be conducted for each construct with measures. The authors of this study expect the findings of this research to show: i) whether the quality dimensions predict employee outcomes in terms of employee learning, adaptability, and job satisfaction, ii) whether there is a need for the researchers and practitioners concerned with employees' satisfaction to pay more attention to the quality dimensions of information systems. The author also believes the findings of this research will have some important theoretical and practical implications that will impact both the academic and practitioners within the Information Systems community.