Author:
Hua Xiuping,Huang Yiping,Zheng Yanfeng
Abstract
Purpose
Financial technologies, also known as “FinTech,” have brought disruptive changes to virtually every aspect of financial services and are becoming increasingly important in the world economic system. The purpose of this paper is to proffer a bird view of some recent studies in the key research areas of FinTech, such as artificial intelligence, blockchain, crowdfunding and then to summarize the key contributions made by all the six papers in this special issue.
Design/methodology/approach
A literature review approach is adopted, and the summary shows that most types of FinTech innovations generate positive value to innovators, financial customers and the society. The current implications and future directions are explored based on theoretical and empirical analyses.
Findings
The benefits from and determinants of FinTech applications vary across different financial sectors. Together the summary of this special issue suggests that there is substantial value creation in further exploring the dynamics, mechanisms and social consequences of FinTech.
Originality/value
This study helps to extend knowledge by summarizing the current practices, proffering new insights and watching out emerging trends of financial technologies, and to shed light on a variety of subjects of interest to practitioners, academics and policy makers by suggesting for the future research topics.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems
Reference44 articles.
1. Value creation in innovation ecosystems: how the structure of technological interdependence affects firm performance in new technology generations;Strategic Management Journal,2010
2. An empirical analysis of rural farmers’ financing intention of Inclusive Finance in China: the moderating role of digital finance and social enterprise embeddedness;Industrial Management & Data Systems,2019
3. Persuasion in crowdfunding: an elaboration likelihood model of crowdfunding performance;Journal of Business Venturing,2017
4. Artificial intelligence in FinTech: understanding robo-advisor adoption among customers;Industrial Management & Data Systems,2019
5. The blockchain folk theorem;Review of Financial Studies,2019
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