Systematic Review Focusing on Financial Technology Machine Learning and Customer Experience and Providing Framework for Future Research

Rahmani, Ahmad; Sorouri, Majid; Radfar, Reza; Alborzi, Mahmood

doi:10.22054/ims.2022.61447.2006

Document Type : Research Paper

Authors

¹ PhD Student in Information Technology Management, Department of Information Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran ahmad. rahmani@srbiau. ac. ir

² Assistant Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranCorresponding Author: majidsorouri@srbiau. ac. ir

³ Professor, Department of Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

⁴ Associate Professor, Department of Information Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

https://doi.org/10.22054/ims.2022.61447.2006

Abstract

Technological innovation in the financial industry created the financial technology ecosystem. With the advent of artificial intelligence, the technology and financial worlds are intertwined to allow smarter financial processes to enable managers to make smarter decisions. It is not a fixed method of using the machine and accurate prediction of the test results using the machine algorithms is challenging. Much research has been done on the specific management of the customer experience, but research on financial technology in the artificial intelligence and machine industry in the sense of constructing a theory that can create a customer experience is a subject that pays less attention to. . This article, by reviewing 75 articles and summarizing it in 41 research articles, has examined the subject of the present study. In order to predict the presentation of theory, research method is a fundamental theory. The purpose of this article is to cover the gap of studies through which a research path is studied and the field of financial technology and artificial intelligence is examined. Findings show that what is done in extraordinary networks can be divided into five main parts of innovation. The findings provide a good way to address some of the issues in financial and artificial technology research for knowledge management experience through the possibility of providing a customer performance model.

Keywords

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‌ ‌استناد به این مقاله: رحمانی، احمد.، سروری، مجید.، رادفر، رضا.، البرزی، محمود. (1401). مرور نظام‌مند ادبیات پژوهش با محوریت فناوری مالی، یادگیری ماشین و مدیریت تجربه مشتری و ارایه چارچوبی برای پژوهش‌های آتی، مطالعات مدیریت کسب وکار هوشمند، 10(39)، 329-356.

DOI: 10.22054/IMS.2022.61447.2006

Journal of Business Intelligence Management Studies is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..

Systematic Review Focusing on Financial Technology Machine Learning and Customer Experience and Providing Framework for Future Research

References

References

Lee, I., Shin, Y, J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Juornal of Business Horizons, 1(61), 35-46.https://doi.org/10.1016/j.bushor.2017.09.003

Volume 10, Issue 39October 2022Pages 329-356

Volume 10, Issue 39
October 2022
Pages 329-356