Preface xvii 1 Evolution of Fintech in Financial Era 1 Tanya Kumar and Satveer Kaur 1.1 Introduction 1 1.2 Review of Literature 2 1.3 Objectives and Research Methodology 4 1.4 Working of FinTech 4 1.5 Tools and Techniques used in FinTech 5 1.6 Future Framework of FinTech 7 1.7 Evolution of FinTech in Financial World 7 1.8 Discussion and Conclusion 9 References 9 Webliography 11 2 Digital Transformation of Financial Services in the Era of Fintech 13 Ayesha Siddiqui, Arti Yadav and Najib H.S. Farhan 2.1 Introduction 13 2.2 Review of Literature 16 2.2.1 Studies on FinTech 16 2.2.2 Studies on Digital Transformation 18 2.3 Digital Transformation: A Conceptual Overview 20 2.4 FinTech Ecosystem 21 2.5 Role of Fintech and Digital Transformation with Respect to Financial Services 24 2.6 Conclusion 27 References 27 3 Reshaping Banking with Digital Technologies 35 Ankita Srivastava and Aishwarya Kumar 3.1 Banking and Artificial Intelligence (AI) 35 3.1.1 Basic Algorithms and Machine Intellect 37 3.1.2 Artificial Common Intelligence 37 3.1.3 Ultra Smart AI 37 3.2 Fintech Evolution 38 3.3 AI Opportunities in Fintech 40 3.3.1 Automation 40 3.3.1.1 Robotic Process Automation (RPA) 40 3.3.1.2 iPaaS 41 3.3.1.3 iSaaS 41 3.3.1.4 Bots 41 3.3.1.5 Enterprise Automation 41 3.3.2 Improved Decision Making 42 3.3.3 Customization 43 3.4 Reshaping the Banking 44 3.4.1 Payments 44 3.4.2 Lending & AI-Based Credit Analysis 46 3.4.3 Wealth Management 48 3.4.3.1 Portfolio Management 48 3.4.3.2 Compliance Management 49 3.4.3.3 Robo-Advisory 50 3.5 Insurance 52 3.6 Challenges Faced by Fintech in Banking 53 3.6.1 Regulatory Compliance 53 3.6.2 Customer Trust 53 3.6.3 Blockchain Integration 53 3.7 Conclusion 54 References 54 4 Adoption of Fintech: A Paradigm Shift Among Millennials as a Next Normal Behaviour 59 Pushpa A., Jaheer Mukthar K. P., Ramya U., Edwin Hernan Ramirez Asis and William Rene Dextre Martinez 4.1 Introduction 60 4.1.1 Evolution of Fintech 61 4.1.2 Technology Innovation in the Financial Sector - Building a Digital Future 63 4.1.3 Taxonomy of Fintech Business Model 66 4.1.4 Fintech Ecosystem 69 4.1.5 Prepositions for Fintech Adoption 72 4.1.6 Challenges of the Fintech Industry 74 4.2 Statement of the Problem and Research Questions 75 4.3 Research Questions and Objectives 76 4.4 Conceptual Framework and Proposed Model 77 4.4.1 Conceptual Framework 77 4.4.2 The TAM Model 77 4.4.3 Proposed Model and Hypothesis Framed 79 4.5 Conclusion 83 Acknowledgement 83 References 83 5 A Comprehensive Study of Cryptocurrencies as a Financial Asset: Major Topics and Market Trends 91 Gioia Arnone and Ajantha Devi Vairamani 5.1 Introduction 91 5.2 Literature Review 92 5.3 Methodology 95 5.4 Findings 96 5.5 Cryptocurrencies as a Major Financial Asset 97 5.6 What is the Value of Cryptocurrencies? Current Market Trends 98 5.7 Conclusion 100 References 101 6 Customers’ Satisfaction and Continuance Intention to Adopt Fintech Services: Developing Countries’ Perspective 105 Song Bee Lian and Liew Chee Yoong 6.1 Introduction 106 6.2 Understanding the Fintech Phenomenon in Developing Countries 108 6.3 Literature Review 109 6.3.1 Technology Acceptance Model (TAM) 109 6.3.2 Customer Satisfaction 110 6.3.3 Customer Innovativeness 110 6.3.4 Hedonic Motivation 111 6.3.5 Perceived Usefulness 111 6.3.6 Perceived Ease of Use 112 6.3.7 System Quality 113 6.3.8 Technology Self-Efficacy 113 6.3.9 Continuance Intention to Adopt 114 6.3.10 Hypothesis Development 114 6.3.11 Conceptual Model 115 6.4 Research Methodology 115 6.4.1 Sample and Data Collection 115 6.4.2 Measures of the Constructs 116 6.4.3 Validity and Reliability Assessment 116 6.5 Results 120 6.5.1 Demographic Profile of the Respondent 120 6.5.2 Structural Model Assessment 120 6.6 Discussion 122 6.7 Theoretical and Practical Implications 126 6.8 Conclusion 127 References 128 7 Fintech Apps: An Integral Tool in Titivating Banking Operations 137 Arun Prakash A., Leelavathi R., Rupashree R. and V.G. Jisha 7.1 Introduction 138 7.2 Objectives 142 7.3 Statement of the Problem 143 7.4 Need for the Study 144 7.5 Review of Literature 144 7.6 Proposed Model 145 7.7 Lending APPS 145 7.8 Investment Apps 145 7.9 Payment Apps 147 7.10 Insurance Apps 148 7.11 Persuading Factors that Increase the Usage of Fin-Tech Apps 149 7.12 Methodology 150 7.13 Results and Discussions 151 7.14 Multiple Linear Regression 152 7.15 Structural Equation Modelling 154 7.16 Conclusion 155 References 155 8 Analytical Study of Fin-Tech in Banking: A Utility Model 157 Neha Kamboj and Mamta Sharma 8.1 Introduction 158 8.2 Literature Analysis and Development of Hypothesis 160 8.2.1 Perceived Utility (PU) and Willingness to Adopt Fin-Tech (WUF) Services 161 8.2.2 Sensible Usability (SU) and Willingness to Use Fin-Tech (WUF) Services 161 8.2.3 Customer Belief (CU) and Willingness to Use Fin-Tech (WUF) Services 162 8.2.4 Social Implications (SI) and Willingness to Use Fin-Tech (WUF)Services 162 8.3 Research Design 163 8.4 Empirical Results 165 8.4.1 Effect of Perceived Utility of Fin-Tech Services (PU) on the Willingness of Customers to Use Fin-Tech (ICUF) Services 168 8.4.2 Effect of Perceived Ease of Use of Fin-Tech Services (PEU) on the Willingness of Customers to Use Fin-Tech (ICUF) Services 168 8.4.3 Effect of Customer Belief in Fin-Tech Services (CU) on the Willingness of Customers to Utilize Fin-Tech (ICUF) Services 168 8.4.4 Social Influence (SI) Impact on the Willingness of Customers to Utilize Fin-Tech (ICUF) Services 169 8.5 Conclusion 169 References 170 9 Is Digital Currency a Payment Disruption Mechanism? 173 Vanishree Mysore Ramkrishna and Vyshnavi Loganathan 9.1 Introduction 173 9.2 Review of Literature 175 9.3 Methodology and Sampling 177 9.4 Results and Discussion 179 9.4.1 Financial Literacy & Inclusion 180 9.4.2 Infrastructure 181 9.4.3 Technical Know-How 183 9.4.4 Trust and Belief 184 9.5 Acceptance of CBDC 185 9.6 Conclusion 188 References 190 10 Investor Sentiment Driving Crypto-Trade in India 193 Sushant Waghmare and Dipesh Uike 10.1 Introduction 194 10.2 Review of Literature 195 10.2.1 Finance & Sentiments 195 10.2.2 Cryptocurrency 196 10.2.3 Addiction or Analysis? 197 10.2.4 Fear of Missing Out (FOMO) 198 10.3 Research Methodology 200 10.3.1 Aim of the Study 200 10.3.2 Objectives of the Study 200 10.3.3 Sampling Methodology & Data Analysis 200 10.3.4 Limitations of the Study 201 10.4 Data Analysis & Interpretation 201 10.5 Conclusions, Suggestions & Recommendations 214 References 217 11 Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency - A Multi-Dimensional Perspective 221 W. Jaisingh, Preethi N. and R. K. Kavitha 11.1 Introduction 222 11.2 State-of-the-Art Review 223 11.3 Application Areas of Cryptocurrencies 224 11.3.1 Fundraising and Investments 224 11.3.2 Freight Transportation and Travel 226 11.3.3 Education 227 11.3.4 Publication and Advertising as Means of Communication 227 11.3.5 E-Commerce and Entertainment 228 11.3.6 Real Estate and Stock Market 228 11.3.7 Trained Financial Planners 228 11.4 Financial Transaction Using Blockchain Technology 229 11.4.1 Introduction 229 11.4.2 Technology Acceptance Model 230 11.4.3 External Constructs 230 11.4.3.1 Trust (T) 230 11.4.3.2 Support (RS) for Regulatory Standards 232 11.4.3.3 Experience (E) 232 11.4.3.4 Social Influence (SI) 233 11.4.3.5 Design (D) 233 11.4.4 Summary 234 11.5 An Analysis of Cryptocurrency Mining Using a Hybrid Approach 234 11.5.1 Introduction 234 11.5.2 Cryptocurrency Mining Strategies 235 11.5.3 Summary and Discussion 236 11.6 Forecasting Cryptocurrency Price Using Convolutional Neural Networks 237 11.6.1 Introduction 237 11.6.2 Assistive Technologies in Machine Learning and Deep Learning 238 11.6.3 Convolutional Neural Networks with Weighted and Attentive Memory Channels 238 11.6.3.1 Attentive Memory Module 239 11.6.3.2 Convolution & Pooling Module 239 11.6.4 Summary and Discussion 239 11.7 Blockchain Technology and Cryptocurrencies for the Collaborative Economy 240 11.7.1 Introduction 240 11.7.2 Collaborative Economy and Digital Platforms 241 11.7.3 Emergence of Collaborative Consumption 242 11.7.3.1 Promoting the Diffusion of Collaborative Practices 242 11.7.4 Summary 242 11.8 Conclusions 243 References 243 12 A Study on the Influence of Personality on Savings and Investment in Cryptos 251 K. Manimekalai, T. Satheeshkumar and G. Manokaran 12.1 Introduction 252 12.2 Literature Review 253 12.2.1 Openness to Experience 254 12.2.2 Conscientiousness 256 12.2.3 Extroversion 257 12.2.4 Aggreeableness 258 12.2.5 Neuroticism 259 12.3 Objectives of the Research 260 12.4 Methodolgy 260 12.5 Discussion 268 References 269 13 Deep Neural Network in Security: A Novel Robust CAPTCHA Model 277 Manasi Chhibber, Rashmi Gandhi, Aakanshi Gupta and Ashok Kumar Yadav 13.1 Introduction 277 13.2 Literature Review 279 13.2.1 Convolutional Neural Networks 280 13.2.2 Transfer Learning 281 13.3 Proposed Approach 283 13.3.1 Data Pre-Processing and Exploratory Analysis 283 13.3.2 Data Acquisition 283 13.4 Results and Discussions 289 13.4.1 Cnn 289 13.4.2 DenseNet 292 13.4.3 MobileNet 295 13.4.4 Vgg 16 297 13.5 Conclusion 300 References 300 14 Customer’s Perception of Voice Bot Assistance in the Banking Industry in Malaysia 303 Manimekalai Jambulingam, Indhumathi Sinnasamy and Magiswary Dorasamy 14.1 Introduction 303 14.2 Problem Statement 304 14.3 What is a Voice Bot? 305 14.3.1 Characteristics of a Voice Bot 307 14.3.2 Why are Voice Bots Becoming Popular? 308 14.3.3 Benefits of a Voice Bot from the Bank’s Perspective 309 14.3.4 Benefits of a Voice Bot from the Customer’s Perspective 311 14.3.5 Opportunities for Voice Bots in Banking 312 14.3.6 Use Cases: Bank Voice Bots Currently Available Around the World 313 14.4 Call to Action 315 14.5 Literature Review 316 14.6 Research Methodology 317 14.7 Descriptive Analysis 318 14.8 Discussion and Conclusion 321 References 322 15 Application of Technology Acceptance Model (TAM) in Fintech Mobile Applications for Banking 325 Tabitha Durai and F. Lallawmawmi 15.1 Introduction 326 15.1.1 Significance of the Study 331 15.1.2 Research Objectives 331 15.1.3 Hypotheses of the Study 332 15.1.3.1 Perceived Usefulness Toward the Usage of Fintech 332 15.1.3.2 Brand Image Toward the Usage of Fintech 333 15.1.3.3 Perceived Risks Toward the Usage of Fintech 333 15.2 Methods and Measures 334 15.2.1 Instrument Development 335 15.3 Results 336 15.3.1 Demographic Profile of the Respondents 336 15.3.2 Factors Influencing Fintech under Technology Acceptance Model (TAM) 338 15.3.2.1 Prominent Factors under Technology Acceptance Model (TAM) that Influence the Usage of Fintech 340 15.3.3 Technology Acceptance Model and the Usage of Fintech 340 15.3.3.1 Perceived Usefulness Toward the Usage of Fintech 340 15.3.3.2 Brand Image Toward the Usage of Fintech 342 15.3.3.3 Perceived Risks Toward the Usage of Fintech 343 15.4 Discussion 344 15.5 Conclusion 346 References 347 16 Upsurge of Robo Advisors: Integrating Customer Acceptance 351 C. Nagadeepa, Reenu Mohan, Antonio Peregrino Huaman Osorio and Willian Josue Fernandez Celestino 16.1 Introduction 351 16.2 Chatbots 355 16.2.1 Benefits of Using Chatbots in Banks 355 16.3 Robo-Advisor 356 16.3.1 Robo-Adviser – A Brief History 357 16.3.2 Historic Account of Robo Advisors 358 16.3.3 Robo-Advisor Versus FA (Financial Advisor) 359 16.3.4 Robo Advisors in Market 359 16.3.5 How Robo-Advisors Work? 364 16.3.6 Types of Robo-Advisor 365 16.3.7 Top Robo-Advisors 367 16.3.8 Points to be Consider while Selection of Robo-Advisor 371 16.3.9 Benefits of Robo-Advisors 372 16.3.10 Limitations of Robo-Advisors 373 16.4 Acceptance of Robo-Advisor 374 16.4.1 Theoretical Background and Research Propositions 374 16.4.2 A Glimpse of Earlier Research Studies 375 16.4.3 Methodology and Hypothesis 376 16.4.4 Collection of Data 377 16.4.5 Hypotheses Testing 377 16.5 Conclusion 379 References 379 17 Super Apps: The Natural Progression in Fin-Tech 383 Kavitha D., Uma Maheswari B. and Sujatha R. 17.1 Introduction 383 17.2 Journey from an App to a Super App 385 17.3 Super App vs. A Vertically Integrated App 385 17.4 Architecture and Design of Super Apps 386 17.4.1 Monolithic Architecture 388 17.4.2 Modular Architecture 388 17.4.3 Microservices Architecture 389 17.5 Business Models of Super Apps 390 17.6 The Super App Market Space and the Business Models 391 17.6.1 WeChat 391 17.6.2 Alipay 393 17.6.3 Grab 394 17.6.4 Paytm 395 17.6.5 The Latest Entrant: Tata Neu 396 17.6.6 Other Players 396 17.7 Factors Contributing to the Success of Super Apps 397 17.8 Super Apps in Fin-Tech and their Role in the Financial Services Segment 400 17.9 Role of Super Apps in Financial Inclusion 403 17.10 Benefits of Super Apps in the Financial Services Sector 405 17.10.1 Economies of Scale & Cost of Financial Intermediation 405 17.10.2 Size & Speed of Product and Service Offerings 406 17.10.3 The Power of Data and the Speed of Responsiveness 406 17.11 Risks due to Super Apps in the Financial System 406 17.11.1 Financial Stability 407 17.11.2 Market Concentration 407 17.11.3 Dis-Intermediation of Banks from Customer 408 17.12 Regulatory Measures to Mitigate the Risks 408 17.13 The Future of Super Apps 408 17.14 Conclusion 410 References 411 Index 413

Dive into the world of fintech and cryptocurrency through the engaging perspectives of this diverse group of authors and uncover the intricate connections between technology, finance, and cryptocurrency that make this a must-have for anyone intrigued by the future of digital society. Digital currencies, decentralization of money, and the growth of new technologies like blockchain, the Internet of Things, and machine learning have produced new opportunities and difficulties for banking and finance, as well as users of these services in electronic commerce. New banking and finance technologies may improve operational efficiency, risk management, compliance, and client pleasure, but they can decrease barriers and introduce new concerns, such as cybersecurity risk. Cryptocurrencies with smart contracts for payments and trading, as well as AI systems with adaptive algorithms that allow picture and speech recognition, expert judgement, group categorization, and forecasting in a variety of fields, are instances of increased automation. Simultaneously, the potentials pose risks and raise regulatory concerns. The rise of blockchain technology and its widespread use have had a significant impact on the operation and management of digital systems. At the same time, researchers and practitioners have paid close attention to digital finance. Blockchain’s first applications were limited to the production of digital currency, but it has now been expanded to include financial and commercial applications. Innovative digital finance has had a huge impact on business and society since it has been extensively adopted by businesses and consumers. As a result, the goal of this edited book is to expand and deepen our knowledge of the business possibilities of novel blockchain and digital financial applications.