Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Seranmadevi, R.; Pavan Kumar Raju, R.; Anu P., R.; Sinha, Seema Title A name given to the resource The Future of Banking: Leveraging AI for Business Transformation Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;291;pp.317-327 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-87372-0_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-87372-0_29</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105027017626?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105027017626?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Seranmadevi R., Department of Professional Studies, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Pavan Kumar Raju R., Department of Professional Studies, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Anu P. R., Department of Professional Studies, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sinha S., Department of Professional Studies, CHRIST (Deemed to Be University), Karnataka, Bangalore, India Description An account of the resource Artificial intelligence (AI) has moved the banking sector into a new era, offering unmatched channels to improve efficiency, risk management, and customer experiences. The research delved into the role of AI in banking, particularly the applications, challenges, and implications. Descriptive research design is used to describe the acceptance rate of banking customers toward leveraging AI in Banking transactions through theTechnology Acceptance Model (TAM) to prove the hypothesis thatAttitude Towards Using AI mediates the individual effects of Perceived Usefulness, Perceived Ease of Use, and Perceived Risk with Behavioural Intention. The primary data was collected from 385 banking customers using the purposive sampling technique by circulating astructured questionnaire. This research shows that AI brings about more benefits than challenges, but it is crucial to handle the latter carefully to enable sustainable sectoral growth. The empirical results support theexistence of a promising environment for AI adoption in thebanking industry as there the customers show a positive behavioural intention. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource AI in Banking; Attitude; Banking; Behavioural intention; Perceived ease; TAM Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online