Disruptive innovation in business and finance in the digital world

Author

Additional Author(s)

• Choi, J. Jay
• Ozkan, Bora

Publisher

Bingley, U.K: Emerald Group Publishing Limited, 2019

Language

English

ISBN

9781789733815

Series

International finance review Vol. 20

Subject(s)

• DIGITAL DIVIDE
• DISRUPTIVE TECHNOLOGIES
• FINANCE

Notes

• Emerald Business Management and Economics Ebooks 2019

. .

Abstract

This volume contains fourteen articles split across four parts, exploring the debate around the topics of fintech, AI, blockchain, and cryptocurrency. Featuring a cast of global contributors, this is an unmissable volume exploring the most current research on digital innovation in the financial and business worlds.

Physical Dimension

Number of Page(s)

1 online resource (viii, 245 p.)

Dimension

-

Other Desc.

-

Summary / Review / Table of Content

Prelims
Part I : Disruptive Innovation and Fintech Firms
Chapter 1: Innovation and Disruption: Industry Practices and Conceptual Bases
Chapter 2: Trends in Financial Innovation: Evidence from Fintech Firms
Part II: Artificial Intelligence and Technological Innovaton
Chapter 3: The Economics of Big Data and Artificial Intelligence
Chapter 4: A Bag of Beads Or a Necklace? Combinative Capability and Value in Technological Scope Expansions
Chapter 5: AI-Generated Corporate Environmental Data: An Event Study with Predictive Power
Part III: Blockchain and Applications
Chapter 6: Overcoming Supply Chain Finance Challenges Via Blockchain Technology
Chapter 7: Can Blockchain Futureproof Supply Chains? A Brexit Case Study
Chapter 8: Blockchain Finance: Questions Regulators Ask
Chapter 9: Research on Blockchain: A Descriptive Survey of the Literature
Part IV: Cryptocurrency, Initial Coin Offerings, and Anomaly Trading
Chapter 10: Is Bitcoin Trustworthy?
Chapter 11: The Future of Cryptotokens
Chapter 12: Cryptocurrency Tide and Islamic Finance Development: Any Issue?
Chapter 13: Bitcoin Conditional Volatility: GARCH Extensions and Markov Switching Approach
Chapter 14: Data-Driven Investigation into Anomaly Trading Strategies: Evidence with Econometrics

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00295/20	338.064 Dis	Online !	Available