This study aims to examine OL as a potential mediating variable in the relationship between IT and organizational performance. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Also, existing literature discusses the use of technology in the organization, and the case for OL as the key knowledge process, and the intersection between technology and OL as a knowledgebased means for improving organizational performance. Many studies use a descriptive measure of OL despite the theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed. To test the model, we will apply (SEM) structural equation modeling in the analysis of a moment structures (AMOS) on the empirical evidence collected from 218 Pakistani CEOs and top managers.

Abstract
1. Introduction
2. Literature Review
    2.1. Resourced-based View (RBV)
    2.2. RBV and Organizational Strategy
    2.3. Competitive Resources and ITUnderperformance
    2.4. Organizational Learning
    2.5. Information Acquisition and InformationDissemination
    2.6. The Convergence of Normative andDescriptive Perspectives
3. Research Question and Hypotheses
    3.1. Research Questions
    3.2. Hypotheses
4. Research Methods
    4.1. Survey Structure
    4.2. Research Methodology
5. Results
    5.1. Confirmatory Factor Analysis
    5.2. Model Fit Evaluation
    5.3. SEM Results
    5.4. SEM Path Analysis
6. Discussion and Implications
    6.1. Limitations
    6.2. Contributions to Research
    6.3. Implications for Future Research
7. Conclusion
References

• Umair KHAN(College of Economics and Management, Beijing University of Technology, China) Corresponding Author
• Yongan ZHANG(College of Economics and Management, Beijing University of Technology, China.)
• Madiha SALIK(Beijing Normal University, China.)