Description
Book SynopsisDigital disruption is ubiquitous and has changed both the way businesses operate and the way people live. Disruption caused by innovation affects firms across multiple industries, from financial services to industrial firms, business processes to payment systems, manufacturing to supply chains. Further, scholars hear more and more about artificial intelligence (AI), big data, machine learning, blockchain, and fintech as examples of contemporary manifestations of disruptive technology that will profoundly influence disciplines beyond business and finance, such as law, health care and government. Global extensions of these technologies and innovations challenge the efficacy and boundaries of law. Indeed, disruptive innovations are potentially change the way we consider the future as humans versus some super artificial intelligence.
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.
Trade ReviewContributed by scholars and practitioners from North America, Nigeria, and Belgium, the 14 articles in this volume examine the theory and practice of disruptive innovation in the digital world and the role and impact of innovation and disruptions in business and finance. They address disruptive innovation in financial technology firms, including trends in financial innovation; artificial intelligence and technological innovation, including the expansion of big data and artificial intelligence technologies from the perspective of economic theory, the relationship between a firm's combinative capability and value creation in the context of technological scope expansion, and the value influence of emerging financial environmental, social, and governance factors on equity markets; blockchain, including overcoming supply chain finance challenges using blockchain technology, whether blockchain can futureproof supply chains, blockchain finance and regulation issues, and the research literature on blockchain; and cryptocurrency, initial coin offerings, and anomaly trading, with discussion of the trustworthiness of Bitcoin, how cryptotoken issuance might disrupt funding markets, cryptocurrency and Islamic finance development, Bitcoin and conditional volatility, and anomaly trading strategies. -- Copyright 2019 * Portland, OR *
Table of ContentsPART I: DISRUPTIVE INNOVATION AND FINTECH FIRMS 1. Innovation and Disruption: Industry Practices and Conceptual Bases;
Jongmoo Jay Choi and Bora Ozkan 2. Trends in Financial Innovation: Evidence from Fintech Firms;
Omer Unsal and Blake Rayfield PART II: ARTIFICIAL INTELLIGENCE AND TECHNOLOGICAL INNOVATION 3. The Economics of Big Data and Artificial Intelligence;
Roxana Mihet and Thomas Philippon 4. A Bag of Beads or a Necklace? Combinative Capability and Value in Technological Scope Expansions;
Jeongsik "Jay" Lee and Natarajan Balasubramanian 5. AI-generated Corporate Environmental Data: An Event Study with Predictive Power;
Yung-Jae Lee and Xiaotian Tina Zhang PART III: BLOCKCHAIN AND APPLICATIONS 6. Overcoming Supply Chain Finance Challenges via Blockchain Technology;
Rudy Yaksick 7. Can Blockchain Futureproof Supply Chain? A Brexit Case Study;
George Calle, Alisa DiCaprio, Maarten Stassen, and Alison Manzer 8. Blockchain Finance: Questions Regulators Ask;
Peterson K. Ozili 9. Research on Blockchain: A Descriptive Survey of the Literature;
Atilla Onuklu PART IV: CRIPTOCURRENCY, INITIAL COIN OFFERINGS AND ANOMALY TRADING 10. Is Bitcoin Trustworthy?;
Tobey Scharding 11. The Future of Cryptotokens;
Joey Biasi and Sujit "Bob" Chakravorti 12. Crypto-Currency Tide and Islamic Finance Development: Any Issue?;
Mustapha Abubakar, M. Kabir Hassan, and Muhammad Auwalu Haruna 13. Bitcoin Conditional Volatility: GARCH Extensions and Markov Switching Approach;
Miriam Sosa, Edgar Ortiz, and Alejandra Cabello 14. Data-driven Investigation into Anomaly Trading Strategies: Evidence with Econometrics;
Jordan French
