Analyzing the progress of FINTECH-companies and their integration with new technologies for innovation and entrepreneurship
Barnali Chaklader,
Brij B. Gupta and
Prabin Kumar Panigrahi
Journal of Business Research, 2023, vol. 161, issue C
Abstract:
The purpose of this research is to present an overview of the progress of Financial Technology (FINTECH) companies and their integration with the latest cutting-edge technologies such as artificial intelligence, machine learning, and blockchain for innovation and entrepreneurship. We used the well-respected Scopus database to do our study. To learn about contemporary problems and trends about FINTECH-companies, publications published in English between 2014 and 2022 were searched using Scopus databases. Finally, we looked at 302 pieces of research as a whole. Qualitative data analysis techniques are used to identify the most prolific and relevant journals, countries, and authors. Study trends are also highlighted, allowing several new research avenues to be explored. Researchers have contributed significantly to FINTECH-companies by providing a thorough overview of the field’s development and current condition.
Keywords: FINTECH firm; Artificial intelligence; Machine learning; Research Trends; Entrepreneurship (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296323002059
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:161:y:2023:i:c:s0148296323002059
DOI: 10.1016/j.jbusres.2023.113847
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().