Abstract
The prime concern of this research article is to engender the existing knowledge, trends and gaps in AIML in bank domains. Additionally, the article focuses on the applications of PSALSAR framework for conducting systematic literature review and meta- analysis of artificial intelligence (machine- learning) adoption in banks. Under the PSALSAR (Protocol, Screening, Appraisal, Synthesizing, Analysis and Reporting) framework PICOC (Population, Intervention, Comparison, Outcome and Context) method is also used to define the research scope. Although meta- analysis is useful for both the qualitative and quantitative content analysis, only the qualitative aspects are considered in this research article.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.