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This research is among the very few studies seeking a focalized examination on the relationship between knowledge sharing within a firm and organizational innovation. This specific study establishes that the knowledge sharing and innovation processes in Islamic banks are integral parts of the survival and progress of business organizations. Knowledge sharing and creativity are essential elements in the development of innovative strategies, but few studies have sought to investigate this relationship. This study proposes a framework with five hypotheses, which predicts the influences of knowledge sharing and organizational innovation on the Pakistani banking sector. This survey scrutinizes the impacts of knowledge sharing and innovation, and its primary objective is to determine how learning in Islamic banks mediates the relationship, and enhances the performance, of Pakistani Islamic banks. The authors distributed a self-administered survey, and randomly selected 554 employees from Mirpur AJ&K, Rawalpindi and Islamabad, Pakistan. We screened and tested the data received using SPSS version 25 for analysis purposes to measure the strength of the relationships which exist among the studied variables. The findings indicate that all of the proposed hypotheses have significant positive relationships, proving that knowledge sharing and organizational innovation have mediating impacts upon organizational learning. The findings can also be used to propose a systematic and holistic framework for attaining an improved performance in Islamic banks through the mediating role of organizational learning. This study offers empirical evidence and original data to examine the connection between knowledge sharing, innovation processes and learning culture in Islamic Banks. The generalizability of these findings is restricted to Islamic banks, and the study delivers valuable insights and suggestions for imminent research studies.

The Impact of Knowledge Sharing and Innovation on Sustainable Performance in Islamic Banks: A Mediation Analysis through a SEM Approach