| Sumario: | This paper explores the effects of the adoption of IoT-enabled FinTech on the efficiency of operations in banking. Structural Equation Modeling (SEM) is the method with which we analyze the information gathered among banking professionals involved in digital financial operations and service delivery with the help of technology. The hypotheses test the connections between the IoT-enabled FinTech adoption, process integration, digital risk management, and operational efficiency. The results suggest that the use of FinTech through IoT is positively related to operational efficiency. The use of IoT-based FinTech also leads to better integration of the processes and thus increases operational efficiency. The outcomes also indicate that process integration mediates the connection between the use of IoT-enabled FinTech and operational efficiency. Also, digital risk management enhances the impact of IoT-enabled adoption of FinTech on operational efficiency, which supports the moderation role. These results offer an in-depth insight into the contribution of digital financial technologies with the help of IoT to the efficiency of banks due to the integrated processes and effective risk management. The proposed study adds to the body of knowledge regarding the digitalization of banking by introducing a mediated and moderated framework that can be used to clarify the operational value of FinTech adoption that is supported by the usage of IoT. The findings would provide viable advice to bank managers who want to enhance service processes, reinforce risk management practices and attain greater operational efficiency by adopting technology.
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