A MULTIDIMENSIONAL ANALYSIS OF CUSTOMER SATISFACTION IN E-BANKING SERVICES

Abstract

This theory presents a multi-layered investigation of consumer loyalty concerning e-banking administrations. In the quickly advancing computerized scene, understanding consumer loyalty is vital for e-banking suppliers. This study utilizes a complete methodology, using both quantitative and subjective strategies. Quantitative information is gathered through studies, zeroing in on elements, for example, site convenience, exchange speed, security, client care, and administration unwavering quality. Subjective information is assembled from top-to-bottom meetings, investigating clients' close-to-home reactions and discernments. Through factual examination and topical coding, the review recognizes key drivers and hindrances influencing consumer loyalty. Discoveries uncover nuanced bits of knowledge into the e-banking experience, revealing insight into regions for development. The complex structure gives a comprehensive view, empowering e-banking foundations to improve their administrations and designer contributions to more readily meet client assumptions. At last, this exploration adds to the streamlining of e-banking administrations and offers a significant asset for professionals and scientists in the field. This research is used secondary data to find the experience of the user and use this data to train the model. The accuracy of the model after training is found in this stage which improves the research and makes the research appropriate. The multidimensional analysis improves the accuracy of finding customer satisfaction. This project uses machine learning techniques to find the accuracy of the model and to solve the issue to improve customer satisfaction.

Keywords: multidimensional evaluation, Online Banking Services, reliability, efficacy, consumer happiness, innovative technical characteristics.