Disruptive Innovation in Business and Finance in the Digital World.

Intro -- DISRUPTIVE INNOVATIONIN BUSINESS AND FINANCEIN THE DIGITAL WORLD -- Contents -- List of Contributors -- PART I: DISRUPTIVE INNOVATIONAND FINTECH FIRMS -- Chapter 1: Innovation and Disruption: Industry Practices and Conceptual Bases -- 1. Introduction -- 2. Conceptual Bases -- 3. Three Mediums of Innovation -- 3.1 Artificial Intelligence -- 3.2 Financial Technology (Fintech) -- 3.3 Blockchain -- 4. Conclusions -- References -- Chapter 2: Trends in Financial Innovation: Evidence from Fintech Firms -- 1. Introduction -- 2. Literature Review -- 3. Data and Descriptive Statistics -- 3.1 Patent Data -- 3.2 Additional Data -- 4. Financial Innovation -- 5. Conclusion -- References -- PART II: ARTIFICIAL INTELLIGENCE AND TECHNOLOGICAL INNOVATON -- Chapter 3: The Economics of Big Data and Artificial Intelligence -- Introduction -- Big Data as Information Good and Intangible Asset -- Allocative Efficiency: Big Data as a Search Technology -- Big Data and the Productivity Puzzle -- Inequality Among Firms -- Inequality Among Workers -- Tech in Finance -- Conclusions -- References -- Chapter 4: A Bag of Beads Or a Necklace? Combinative Capability and Value in Technological Scope Expansions -- Introduction -- Hypotheses -- Technological Scope and Firm Value -- Technological Scope, Combinative Capability, and Firm Value -- Empirics -- Context -- Data Sources -- Sample Construction -- Variable Construction -- Dependent Variable -- Independent Variables -- Control Variables -- Empirical Methodology -- Results -- Robustness Checks -- Discussion -- Conclusions -- References -- Chapter 5: AI-Generated Corporate Environmental Data: An Event Study with Predictive Power -- Introduction -- Brief Background and Context: ESG and Financial Performance -- TVL Data Gathering and Analysis -- Methodology and Analysis -- Sample Construction -- Methodology.

Empirical Results -- Robustness Tests -- Conclusions -- References -- PART III: BLOCKCHAIN AND APPLICATIONS -- Chapter 6: Overcoming Supply Chain Finance Challenges Via Blockchain Technology -- 1. Introduction -- 2. Background: What is SCF? -- 2.1 Invoice-Based -- 2.1.2 Supplier-Led Financing: Accounts Receivable Financing -- 2.2 Purchase Order-based -- 2.2.1 Pre-shipment Finance -- 2.2.2 Inventory Finance: Warehouse Receipts -- 3. What is BCT? -- 3.1 Definition of BCT -- 3.2 Blockchain-based SCF Model -- 3.3 US Regulatory Framework: Howey Test -- 4. Benefits of BCT-Based SCF -- 5. Block Chain Use Cases: Solving SCF Challenges -- 5.1 KYC and AML Requirements -- 5.2 Legal Validity of Invoices: Double Payment Risk -- 5.3 Accounting: Payables Reclassified as Bank Debt -- 5.4 Legal: Perfecting the Receivable for Securitization -- 6. Conclusion and Future Research -- Notes -- References -- Chapter 7: Can Blockchain Futureproof Supply Chains? A Brexit Case Study -- 1. Introduction -- 2. Conceptual Framework: Blockchain and Uncertainty in Trade -- 2.1. Customs Unions and Blockchain -- 2.2. Blockchain and Trade Uncertainty -- 3. Logistics -- 3.1. Border Measures -- 3.1.1. Tariff Application -- 3.2. Regulatory Compliance -- 3.3. Time -- 3.3.1. The Irish Border Question -- 4. Trade Finance -- 4.1. Expectations around Working Capital -- 4.2. Blockchain's Disruption of Trade Finance -- 5. Data Security -- 5.1. Cybersecurity -- 5.2. Data Privacy (GDPR) -- 6. Conclusion -- References -- Chapter 8: Blockchain Finance: Questions Regulators Ask -- 1. Introduction -- 2. Conceptual Framework -- 2.1. Why the Current Financial System is Inefficient -- 2.2. Defining Blockchain -- 2.3. Understanding How Blockchain Works -- 3. Promoting Blockchain -- 4. Regulatory Concern -- 5. Conclusion -- References.

Chapter 9: Research on Blockchain: A Descriptive Survey of the Literature -- 1. INTRODUCTION -- 2. A Descriptive Analysis of Literature on "Blockchain" -- 3. A Survey of the Patent Literature on "Blockchain" -- 4. Discussion and Future Research -- References -- PART IV: CRYPTOCURRENCY, INITIAL COIN OFFERINGS, AND ANOMALY TRADING -- Chapter 10: Is Bitcoin Trustworthy? -- 1. Trust and Blockchain -- 2. Blockchain and Bitcoin -- 3. Trustworthiness in Ethics -- 3.1 An Account of Trustworthiness -- 3.2 Trustworthiness in Agents and Non-agents -- 3.2.1 Liability to be Trusted and Liability to be Evaluated as Trustworthy -- 3.2.2 Are Currencies Liable to be Trusted? -- 3.3 Bitcoin is Liable to be Evaluated as Trustworthy or Untrustworthy -- 4. The (Un)Trustworthiness of Bitcoin -- 4.1 Three Functions of Currencies -- 4.1.1 Medium of Exchange -- 4.1.2 Store of Value -- 4.1.3 Speculative Investment -- 4.2 Bitcoin's Distinctive Characteristics -- 4.3 Evaluation of Bitcoin's Trustworthiness -- 5. CONCLUSION -- References -- Chapter 11: The Future of Cryptotokens -- 1. Introduction -- 2. Background -- 3. Disrupting Traditional Funding Sources -- 4. Market Trends -- 5. Regulation -- 6. Case Studies -- 6.1 Ethereum -- 6.2 EOS -- 6.3 The Decentralized Autonomous Organization (DAO) -- 6.4 Dogecoin -- 6.5 Munchee -- 6.6 Property Coin -- 7. Challenges -- 8. Conclusion -- References -- Appendix -- Chapter 12: Cryptocurrency Tide and Islamic Finance Development: Any Issue? -- Introduction -- Cryptocurrency Emergence -- Types and Features -- Islamic Law (Sharīʿah) Perspectives on Cryptocurrencies -- Features of Islamic Finance Contracts -- Any Issue in Cryptocurrency Value Fluctuations vis-á-vis Islamic Finance Development? -- Conclusions -- Recommendations -- References -- Chapter 13: Bitcoin Conditional Volatility: GARCH Extensions and Markov Switching Approach.

1. Introduction -- 2. Literature Review -- 3. Data and Methodology -- 3.1 Data and Descriptive Statistics -- 3.2 Methodology -- 3.3 TARCH Model -- 3.4 E-GARCH Model -- 3.5 APARCH Model -- 3.6 Component-GARCH (CGARCH) -- 3.7 Asymmetric CGARCH (ACGARCH) Model -- 3.8 MS-AR Model -- 4. Empirical Results -- 4.1 MS-AR Model Results -- 5. Conclusions -- References -- Web Sources -- Chapter 14: Data-Driven Investigation into Anomaly Trading Strategies: Evidence with Econometrics -- 1. Introduction -- 2. Literature Review -- 3. Review of the Anomaly Strategies -- 3.1 Price-to-Earnings -- 3.2 Book-to-Market -- 3.3 Size -- 3.4 Sales Growth (Five-year Average) -- 3.5 Monthly -- 3.6 Returns (Independent Variable) -- 4. Methodology -- 4.1 Fama and MacBeth Regression -- 4.2 Panel Data Regression -- 4.3 Quantile Regression -- 4.4 The Portfolios -- 5. Results -- 5.1 Price-to-Earnings -- 5.2 Book-to-Market -- 5.3 Size -- 5.4 Sales Growth (Five-year Average) -- 5.5 Monthly Returns -- 6. Conclusion -- References.

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.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.