Application of Artificial Intelligence in Banking and Finance : Bibliometric Review and Emerging Research Agenda (Record no. 81600)
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| 000 -LEADER | |
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| fixed length control field | 01695nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240105064404.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240105b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | STCPL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Priyanka Gujrati |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jivan Biradar |
| 245 ## - TITLE STATEMENT | |
| Title of the article | Application of Artificial Intelligence in Banking and Finance : Bibliometric Review and Emerging Research Agenda |
| 246 ## - Journal / Periodical | |
| Title of the journal or magazine | Indian Journal of Computer Science |
| Volume, Issue | Vol.8: No.5 - |
| Month & Year | Sep.-Oct. 2023 |
| Pages | pp. 27-37 |
| 630 ## - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Commerce |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term | Banking |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term | Bibliometrics |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://www.indianjournalofcomputerscience.com/index.php/tcsj/article/view/173322">https://www.indianjournalofcomputerscience.com/index.php/tcsj/article/view/173322</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Articles |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Artificial Intelligence (AI) has been growing at the fastest pace during the last few decades. It has affected all sectors directly or indirectly. The application of AI is getting more mature with the passage of time and the banking sector is adopting it intensively. Existing literature in the subject is scattered across all regions of the world. The purpose of this study is to understand major contributions of researchers, subject experts, and the sources along with countries that are actively involved in the area of research. To do the bibliometric study, systematic review of 756 documents published from 1972 to 2021 in Scopus database has been used as it is the largest of all databases available. With this bibliometric analysis, it was found that the USA, China, UK, India, and Taiwan have been the major countries in making extra efforts continuously for unfolding the new possibilities of Artificial Intelligence in the banking and finance sector. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Commerce | ST. THOMAS COLLEGE LIBRARY, PALAI | ST. THOMAS COLLEGE LIBRARY, PALAI | Back Volumes Section | 2024-01-05 | 2024-01-05 | 2024-01-05 | Journal Articles |