FinTech as a Game Changer: Overview of Research Frontiers-Reference-Cited by-同舟云学术

FinTech as a Game Changer: Overview of Research Frontiers

Published:2021-03 Issue:1 Volume:32 Page:1-17
ISSN:1047-7047
Container-title:Information Systems Research
language:en
Short-container-title:Information Systems Research

Author:

Hendershott Terrence¹^ORCID,Zhang Xiaoquan (Michael)²^ORCID,Zhao J. Leon³^ORCID,Zheng Zhiqiang (Eric)⁴^ORCID

Affiliation:

1. Hass School of Business, University of California, Berkeley, Berkeley, California 94720;

2. Department of Decision Sciences and Managerial Economics, CUHK Business School, Chinese University of Hong Kong, Hong Kong, 88888;

3. School of Management and Economics, Chinese University of Hong Kong, Shenzhen 518172, China;

4. Department of Information Systems, Jindal School of Management, University of Texas at Dallas, Dallas, Texas 75080

Abstract

Technologies have spawned finance innovations since the early days of computer applications in businesses, most recently reaching the stage of disruptive innovations, such as mobile payments, cryptocurrencies, and digitization of business assets. This has led to the emerging field called financial technology or simply FinTech. In this editorial review, we first provide an overview on relevant technological, pedagogical, and managerial issues pertaining to FinTech teaching and research, with a focus on market trading, artificial intelligence, and blockchain in finance. And then we introduce the articles appearing in this special section. We hope that our discussions of potential research directions and topics in FinTech will stimulate future research in the fields of information systems and finance toward making their unique marks in the FinTech evolution and the associated business and societal innovations.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

Reference46 articles.

1. The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms

2. Using genetic algorithms to find technical trading rules1Helpful comments were made by Adam Dunsby, Lawrence Fisher, Steven Kimbrough, Paul Kleindorfer, Michele Kreisler, James Laing, Josef Lakonishok, George Mailath, and seminar participants at Institutional Investor, J.P. Morgan, the NBER Asset Pricing Program, Ohio State University, Purdue University, the Santa Fe Institute, Rutgers University, Stanford University, University of California, Berkeley, University of Michigan, University of Pennsylvania, University of Utah, Washington University (St. Louis), and the 1995 AFA Meetings in Washington, D.C. We are particularly grateful to Kenneth R. French (the referee), and G. William Schwert (the editor) for their suggestions. Financial support from the National Science Foundation is gratefully acknowledged by the first author and from the Academy of Finland by the second and from the Geewax-Terker Program in Financial Instruments by both. Correspondence should be addressed to Franklin Allen, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104-6367.1

3. The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search

4. A Partially Observed Markov Decision Process for Dynamic Pricing

5. High‐Frequency Trading and Market Performance

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