Open innovation means gathering new ideas from sources beyond organizational boundaries. It occurs when solutions to address clients’ needs are developed in collaboration and the resulting products and services are distributed through a flexible network of partners. Daniel Fasnacht’s book, the first of its kind, discusses open business models in the context of the financial services industry. He elaborates the drivers for strategic change such as increasingly sophisticated clients or demanding shareholders among other trends, including the recent global financial crisis, and explains why the transition from a closed model of operation to open innovation is vital. Various case studies illustrate how to integrate the client into the firm's innovation process and emphasize the importance of smart client segmentation and a holistic advisory model to serve clients around the globe. Leaders must develop a set of new management practices to be able to invest in multiple strategic directions. They are responsible for giving clients a remarkable experience and for creating social relationship capital based upon an open innovation culture. Open Innovation in the Financial Services provides a much-needed framework for helping to understand industry dynamics in banking and to make the most of organizational energy by using open innovation to sustain profitable growth. The book comes at the right time and offers a new mindset for business – not only for expansion strategies in general, but especially during turbulent times.

This book gathers together some of the most up-to-date thinking in the growing field of innovation in services and more particularly, in financial services. It explores the peculiarities of innovation in financial services firms and surrounding market players, discusses the open nature of the innovation process, and analyses its success factors and its interplay with strategy and performance. This book provides topical insights on the challenges facing the financial industry, such as the convergence with other sectors, and the increasing regulatory burden. By combining multidisciplinary approaches and by selecting a number of cutting-edge research models, theories, empirical findings and practitioners’ insights, it offers unique, contemporary and multidimensional perspectives on innovation for a sector of paramount importance for the running of economies around the world. This book comes at a time of turbulence, uncertainty and within an industry in need of vision and strategic foresight. By synthesizing multiple views from academia and practice, it opens the agenda and contributes to the on-going debate of redefining the multi-polar role of innovation in the financial industry.

This book explores several challenges facing FinTech in Islamic financial institutions. Firstly, large banks and financial institutions in countries with updated and innovative technological channels will earn the technology arbitrage from FinTech. This ‘size’ puzzle may create a challenge for Islamic financial institutions that are of smaller size and from technologically less-developed countries. Secondly, while access to FinTech is getting broader day by day, usage of FinTech is still limited due to personal and governance-related limitations. Moreover, the level of awareness of the emerging FinTech services (i.e., bitcoin, blockchain, etc.) remains extremely poor even among the residents of technologically-advanced countries. Thirdly, use of FinTech by Islamic financial institutions is limited to Islamic banking, to users from developed countries, among young customers, and for a limited number of traditional banking services such as the deposits and payment services. Also, banks hope to use FinTech to increase the size of a new breed of technology-savvy depositors and loan customers to achieve economies of scale, which may help stabilize the banking sector. Automation in Islamic banks and the participation of Islamic financial institutions in blockchain and bitcoin domains require extensive research from Shariah-compliance as well as market and consumer-related grounds. With all the opportunities and challenges of FinTech—promoting inclusion, easier loan monitoring, and risk of Shariah non-compliance—this book explores the implications for Islamic financial institutions and will be of interest to scholars, researchers, and students of Islamic finance and financial technology.

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Following the success of the first edition that brought attention to the digital revolution in Islamic financial services, comes this revised and updated second edition of Blockchain, Fintech and Islamic Finance. The authors reiterate the potential of digital disruption to shrink the role and relevance of today’s banks, while simultaneously creating better, faster, cheaper services that will be an essential part of everyday life. Digital transformation will also offer the ability to create new ways to better comply to Islamic values in order to rebuild trust and confidence in the current financial system. In this new edition, they explore current concepts of decentralized finance (DeFi), distributed intelligence, stablecoins, and the integration of AI, blockchain, data analytics and IoT devices for a holistic solution to ensure technology adoption in a prudent and sustainable manner. The book discusses crucial innovation, structural and institutional developments for financial technologies including two fast-growing trends that merge and complement each other: tokenization, where all illiquid assets in the world, from private equity to real estate and luxury goods, become liquid and can be traded more efficiently, and second, the rise of a new tokenized economy where inevitably new rules and ways to enforce them will develop to fully unleash their capabilities. These complementary and oft-correlated trends will complete the decentralization of finance and will influence the way future financial services will be implemented. This book provides insights into the shift in processes, as well as the challenges that need to be overcome for practical applications for AI and blockchain and how to approach such innovations. It also covers new technological risks that are the consequence of utilizing frontier technologies such as AI, blockchain and IoT. Industry leaders, Islamic finance professionals, along with students and academics in the fields of Islamic finance and economics will benefit immensely from this book.

This book constitutes revised selected papers from the 9th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2018, held in Manchester, UK, in June 2018. The 11 papers presented in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: financial innovation; market data analytics; and semantic modelling.

This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Subject-Oriented Business Process Management, S-BPM ONE 2013, held in Deggendorf, Germany, in March 2013. The papers are organized in topical sections on running concepts; running business process management types; running applications; running ideas; running solutions; running projects.

Technology-driven innovation in financial services has been attracting global attention and interest. FinTech innovation is presenting a paradigm shift in financial services affecting a wide range of products, processes and services but also sparking a broader evolutionary transformation, growth opportunities and foundational systemic and structural changes in light of technological interdependencies among market players, infrastructures and ecosystem stakeholders.Transformation Dynamics in FinTech contributes to the intellectual curiosity around the symbiotic relationship of finance and technology by focusing on the multidimensional and multidisciplinary role of open innovation within FinTech innovation, observing and communicating the latest technological, managerial, governance, policy and regulatory perspectives, trends and developments.This book is an essential reading for anyone interested in the growing and evolving development of FinTech ecosystems based on new capabilities and structures that create new dominant architectural designs, which determine competitive dynamics, products, services, processes, business models, markets, value chains, within an open and transformed financial services industry landscape.

Sharing information and knowledge, co-innovating with clients, communities, and competitors and adopting cognitive technology, robo advisors, crowdfunding, and blockchain reflect current socio-economic behaviour. Emerging growth regions in Asia, demographic shifts, intergenerational wealth transfers and increasing regulations are other trends that amplify each other, disrupt the client journey, and affect the entire economy. Moreover, unprecedentedly, new market entrants outside the financial sector, be it Amazon, Apple, Google, or Facebook, are increasingly expanding their scale and scope to offer financial services. Featuring case studies of Chinese business ecosystems, such as Alibaba/Ant Financial, that have transformed from displaying domestic and organic growth to rapid global expansion, this highly readable book gives you glimpses of how banking services are evolving. We break down everything you need to know about the foray of challenger banks into the financial services. You learn how they link health to wealth data and gain advantages through analytical capabilities in the race to attract sophisticated clients with highly personalized experiences. The next level of creating and capturing value for clients and businesses involves platform models embedded in cross-sector ecosystems. Digital platforms are the crucial entry point to global markets, creating value for multiple sides. They leverage self-driving ecosystems that go beyond linear value chains applied in traditional business models as the sources of growth in an interconnected world are collaboration and network effects. The winners will be those who open up and engage themselves in an ecosystem that transcends organizational boundaries and performs without sector borders because every actor contributes to the value constellation of the system. The book provides practitioners and scholars with new insights into open and holistic business models, where competition in future will be between ecosystems rather than at the company level. It encourages leaders to expand their skills and think through the lens of the ecosystem theory while developing compelling strategies to serve the next-generation clients.