Blockchain – ICBC 2019


Book Description

This book constitutes the refereed proceedings of the Second International Conference on Blockchain, ICBC 2019, held as part of the Services Conference Federation, SCF 2019, in San Diego, CA, USA, in June 2019. The 13 full papers and 2 short papers presented were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics in blockchain technologies, platforms, solutions and business models such as new blockchain architecture, platform constructions, blockchain development and blockchain services technologies, as well as standards, and blockchain services innovation lifecycle including enterprise modeling, business consulting, solution creation, services orchestration, services optimization, services management, services marketing, business process integration and management.




Blockchain – ICBC 2022


Book Description

This book constitutes the proceedings of the 5th International Conference on Blockchain, ICBC 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 22 submissions. The International Conference on Blockchain (ICBC) aims to provide an international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state-of-the-art technologies and best practices of blockchain, as well as emerging standards and research topics which would define the future of blockchain.




Blockchain – ICBC 2021


Book Description

This book constitutes the proceedings of the 4th International Conference on Blockchain, ICBC 2021, held as part of SCF 2021, held as a Virtual Event, during December 10–14, 2021. The 8 full papers and 1 short paper presented were carefully reviewed and selected from 31 submissions. They deal with all topics regarding blockchain technologies, platforms, solutions and business models, including new blockchain architecture, platform constructions, blockchain development and blockchain services technologies as well as standards, and blockchain services innovation lifecycle including enterprise modeling, business consulting, solution creation, services orchestration, services optimization, services management, services marketing, business process integration and management.




The Data-Driven Blockchain Ecosystem


Book Description

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.




Blockchains


Book Description




Financial Ecologies Framed by Fintech


Book Description

Financial technologies are understood as ICT-based financial innovations and business entities based on these innovations (Lai & Samers, 2021; Langley & Leyshon, 2021; Wójcik, 2021b). Like other technological innovations, Fintech not only influences technical parameters of products and services, but also transforms the economic organization of firms and industries (Baldwin, 2020; Sanchez & Mahoney, 2013). ICT solutions in the financial sector complement the existing services (e.g., payment platforms), substitute human work and tangible assets (e.g., robo-advisers), and generate new solutions (e.g., mobile wallets). Furthermore, Fintech transcends borders and geographical frontiers, as exemplified by crowdfunding in financial centers accessible to start-ups and growth firms from peripheral locations (Bonini & Capizzi, 2019; Spigel, 2022). However, the ongoing digital transformation of financial services has a strong spatial and multiscalar dimension and takes various forms and outcomes, depending on the socioeconomic and institutional specifics (Leyshon, 2020; Baranauskas, 2021; Coe, 2021). The financial sector has recently been conceptualized as a financial ecosystem to reflect its exposition to dynamics and occasional disruptive change (Leyshon, 2020). Within a broadly defined financial ecosystem, two interrelated structures can be identified according to spatial characteristics (Gancarczyk, Łasak, & Gancarczyk, 2022; Lai, 2020). The first comprises global networks of financial centers and large investment banks, that is, global financial networks (GFNs), largely spanning over the borders of countries and regions (Coe, Lai, & Wójcik, 2014; Coe, 2021). The other forms are financial ecologies as segments of the financial ecosystem that are delimited by particular territories (Lai, 2016; Leyshon et al., 2004; Leyshon et al., 2006; Langley & Leyshon, 2020). Being subunits of the financial ecosystem, FEs represent interrelated financial intermediaries and other economic agents, focused on the provision and access to financial services in particular territories (Beaverstock et al., 2013; DawnBurton, 2020; Lai, 2016; Leyshon et al., 2004; Leyshon, 2020). In this vein, FEs can be considered as governance modes comprising private and public entities, such as banks, Fintech, BigTech, public agencies, enterprises, and customers, and relationships among these entities. The actors and relationships are delimited by a given location, such as a region or city (Langley, 2016; DawnBurton, 2020; Chen & Hassink, 2021; Appleyard, 2020). The relevance of the FE concept is based on the disproportionate outcomes that small ecologies may raise for comprehensive systems, as evidenced by the subprime market failure in the USA, affecting the subsequent financial and economic crisis of 2007-2009 (Leyshon, 2020), with relevant effects on many economies such as the European economy (Rodil-Marzábal & Menezes-Ferreira-Junior, 2016). Therefore, investigating small but critical points within the larger financial ecosystem is crucial for policy. It is also theoretically justified since the financial ecosystem has been predominantly studied as a general abstraction of the financial sector. Subsystems remain less explored, especially in the granularity of the spatial context. Since FEs are context-specific and undergo co-evolutionary dynamics with this context, they also transform as a phenomenon and a concept (Lai, 2020; Wójcik, 2021a). One of the main influences comes from the recent technological developments raised by Fintech. The growing empirical evidence in this area calls for understanding consequences for the FE construct (Welch, Rumyantseva, & Hewerdine, 2016) and adequate policy responses. Resonating with the said research gaps and an early stage of the development of the FE idea, this article aims to identify how Fintech frames FEs and propose the related conceptual and policy implications. To frame the FE concept, we use the methodological lens of construct clarity principles (Suddaby, 2010; Simsek et al., 2017) and concept reconstruction (Welch et al., 2016). The method includes a systematic literature review, which represents a unique approach, since the existing theorizing of FEs has been either in the form of conceptual papers or narrative reviews (Lund et al., 2016). Our findings raise conceptual and policy-related contributions. First, the article conceptually reframes the understanding of FE as financial services governance enhanced by technological advancements and focused on territorial projects and communities. Second, the concept of FE was clarified according to its main elements and its relationships with other adjacent ideas of spatial networking for socioeconomic development. Third, research propositions and areas for further investigation were proposed. In the following, we present the literature review to justify our aim and research questions. The methodology section presents the conceptual lens for our discussion of the FE as a construct shaped by Fintech; it also specifies the method of a systematic literature review. Results, discussion, and conclusion proceed in the next sections. CONCEPTUAL FOUNDATIONS Financial ecosystems were institutionally introduced to the policy framework and gained widespread recognition in research since the Federal Reserve Bank of New York conference in 2006 (Leyshon, 2020). FEs have become a new theoretical abstraction of the financial services sector as an alternative to the neoclassical equilibrium-based doctrine (Leyshon, 2020). The main difference was in acknowledging radical dynamics within the sector treated as an ecosystem with a diverse and flexible set of financial intermediaries, institutional investors and supporting entities, such as exchanges, data providers, and regulators (Bose, Dong, & Simpson, 2019). The abstraction of complex adaptive systems has often been recalled as a broad framework to understand the functioning and change in the financial sector. Consequently, theoretical perspectives of evolution and coevolution, and in particular, the network governance concept to cope with complex coordination issues, demonstrate explanatory power in studying FEs (Chen & Hassink, 2021; Ponte & Sturgeon, 2014; Chen & Hassink, 2021, 2020; Coe & Yeung, 2019). The lens of the financial ecosystem was intended to provide concepts and methods that would address environmental and regulatory shocks and prepare for future breakthrough changes to the financial system (Leyshon, 2020; Fasnacht, 2018). Furthermore, within this idea, the classical goals set for the financial sector, such as optimizing capital allocation, matching savers and investors, and signaling scarcity and abundance, were expanded by sustainability and social responsibility goals that go beyond purely economizing (Bose et al., 2019; Fasnacht, 2018). The focus on the financial ecosystem as a model or abstraction of the financial sector predominated over what is the core of ecosystems, the interrelated actors embedded in particular socio-economic and institutional environments (Strumeyer & Swammy, 2017; Bose et al., 2019; Lai, 2020; Wojcik, 2021). Although the legal frameworks of financial ecosystems are intensely studied, the remaining context, such as socioeconomic environment and informal institutions, remain much less explored (Gancarczyk et al., 2022). These contextual factors are specific to individual territories within the financial ecosystem (Ponte & Sturgeon, 2014; Chen & Hassink, 2021, 2020; Coe & Yeung, 2019). Since the systemic approach assumes interrelations and mutual influences among its parts, changes or weaknesses in a subsystem affect the whole. A painful recognition for this gap happened just after the indicated 2006 turn to the financial sector as an ecosystem, with the shock of the 2007-2009 crisis. The latter originated in the smaller subunit of the ecosystem of the US subprime market. The following pandemic and political breakthroughs, as well as technological developments, raised new challenges, adaptations, and structural changes to the financial ecosystem (Leyshon, 2020). However, they were implemented differently in different spatial contexts, which stimulated a more granular approach of the financial ecosystem as a collection of place-based subsystems, that is, financial ecologies (Lai, 2016). Another justification for the more place-based perspective is that localized supply chains might require localized financial systems or ecologies (Sarawut & Sangkaew, 2022). Wójcik and Iannou (2020) argue that local and regional financial centers are expected to lose their position, and that the territories outside the core regions and financial centers will have to rely on retail banking and the public sector to fund investment and sustainable development. These smaller ecologies will coexist with global financial networks, which are worldwide networks of financial centers and investment banks (Lai, 2020). The concept of FE originated in the field of economic geography to reflect the spatial specifics and uneven distribution of financial ecosystems, and to address the crucial issues in financing for the particular territorial populations, such as inclusion, financialization, surveillance, and over-indebtedness (DawnBurton, 2020). Consequently, the FE concept recasts the financial system as a coalition of smaller constitutive ecologies, such that distinctive groups of financial knowledge and practices emerge in different places with uneven connectivity and material outcomes (Lai, 2016). The relevance of the FE phenomenon and concept consists of a more fine-grained approach to understanding uneven access to financial services and uneven connectedness to the financial system (DawnBurton, 2020; Leyshon, 2020). Furthermore, research on FEs signals weak and strong points in subsystems that can affect the efficiency of the entire financial system. FEs represent interrelated financial intermediaries and other economic agents focused on the provision of and access to financial services in particular territories (Leyshon, 2020). As systemic phenomena, they comprise both actors and their relationships, in which actors form various configurations of private and public entities, such as banks, public agencies, enterprises, and customers. The actors and relationships are delimited by a given location that forms a spatial context, that is, a set socioeconomic conditions of a territory, be it a region, city, or a country, and acknowledging multiscalar contexts (Langley, 2016; DawnBurton, 2020; Chen & Hassink, 2021; Appleyard, 2020). The context of a particular ecology should also be considered in a wider, multiscalar perspective. Multiscalarity of the context is an idea that advocates a multilevel analysis of a spatial unit (Chen & Hassink, 2021). The example of this approach is a regional financial ecology that should be analyzed in the context of the region, country, and relevant international environments. Due to the multiscalar perspective, spatially focused FEs do not lose a broader framework of the financial system in larger units and globally (Chen & Hassink, 2020). Taking into account the nature of the FE presented above, the main elements of this construct include actors, relationships among actors, outcomes, and contexts. While the scope of actors and contexts has been outlined above, the systemic relationships and outcomes of the FE require further explanation. The FE relationships are often captured as governance, whereby governance represents the sets of institutions (rules, norms) that affect the functioning of a particular socioeconomic system and its efficiency (Colombo, Dagnino, Lehmann, & Salmador, 2019; Ostrom, 1986; Williamson, 2000). In this vein, governance can be described according to the rules of collaboration and competition, and power relations (Lai, 2018). Types of governance range from the firm to hybrids, such as networks, and to markets (Gereffi, Humphrey, & Sturgeon, 2005; Williamson, 2000). The outcomes of FE represent the terms of and access to financing, with a more general effect on financial inclusion or exclusion and on the overall territorial development. With the wider financial systems, FEs share such constitutive elements as actors and their relationships centered around financial services supply and demand (Bose et al., 2019; Fasnacht, 2018; Lai, 2020). Moreover, they similarly focus on the coordination of the system through the lens of governance (DawnBurton, 2020; Langley & Leyshon, 2021). However, FEs also demonstrate some unique characteristics in relation to wider financial ecosystems, such as clear delimitation of a territorial space, be it a city, region, or country, and acknowledgment of an associated socioeconomic and institutional context (DawnBurton, 2020; Leyshon et al., 2004). The focus on a particular territory does not ignore the systemic nature of economic relationships in the globalized world, since FEs are considered in a multiscalar context (Chen & Hassink, 2020; Leyshon, 2020). Connectivity of given populations to a broader financial system becomes one of the major issues to ensure the infusion of external sources (Coe et al., 2014). The focus on relationships between commercial banks and retail customers, as well as underserved and unbanked individuals or enterprises, differentiates FEs from GFNs (Beaverstock et al., 2013; Coe et al., 2014; DawnBurton, 2020). The latter consider global networks of investment banks and financial centers liaising over peripheral and noncore territories (Coe et al., 2014; DawnBurton, 2020; Lai, 2018). This global perspective is also related to the governance approach in the framework of global value chains, which extends to financial activity (Milberg, 2008; Coe et al., 2014; Seabrooke & Wigan, 2017). The emphasis on socioeconomic effects for disadvantaged market segments and particular industries and projects represents an additional feature of FEs as outcome-oriented systems. While financial ecosystems are primarily targeted at economic efficiency and stability of the system itself, FEs emphasize territorial target groups and projects (Langley, 2016; Langley & Leyshon, 2017). Regarding governance, the focus of FEs has been on network governance of a complex and multi-actor adaptive system (Leyshon, 2020). Network governance is considered not only from the perspective of power relations and resource allocation, but also from learning and financial practices (Lai, 2016). As evolutionary and dynamic phenomena, financial ecosystems and FE undergo substantive and conceptual developments. One of the ongoing breakthrough transformations stems from Fintech. Financial ecosystems are increasingly reconceptualized as the ultimate mode of financial services governance transformed by financial technologies (Wójcik & Ioannou, 2020; Łasak & Gancarczyk, 2022; Gancarczyk et al., 2022). Similarly, the intensive development of FEs is closely related to technological changes that enable a flexible establishment of new forms of cooperation between economic entities (Arsanian & Fischer, 2019). Fintech increase efficiency and availability of existing and launch of new financial products (Hill, 2018; Livesey, 2018; Nicoletti et al., 2017; Sabatini, Cucculelli, & Gregori, 2022; Scardovi, 2017). However, negative effects are also reported, such as over-indebtedness of risky customers, Fintech surveillance, and exclusion of some customers due to computer illiteracy (Kong & Loubere, 2021; Łasak & Gancarczyk, 2021; Brooks, 2021). The economic and social outcomes of the emerging FEs transformed by Fintech have not been fully understood and systemized (Langley & Leyshon, 2021; Wójcik, 2021b). Given technological influences, the FE undergoes developments in its core elements, i.e., actors, governance, and outcomes, acknowledging spatial contexts. Despite the increasing stock of empirical findings that describe the impact of Fintech on the functioning of FEs, we lack a synthesis reflection to reconsider FEs from this perspective. Therefore, we formulate the following research questions: RQ1) How does Fintech affect the FE phenomenon in the area of its actors, governance, and outcomes in various spatial contexts? RQ2) What are the conceptual and policy-related implications of Fintech influencing FEs?




Applications of Blockchain and Big IoT Systems


Book Description

This new volume explores a plethora of blockchain-based solutions for big data and IoT applications, looking at advances in real-world applications in several sectors, including higher education, cybersecurity, agriculture, business and management, healthcare and biomedical science, construction and project management, smart city development, and others. Chapters explore emerging technology to combat the ever-increasing threat of security to computer systems and offer new architectural solutions for problems encountered in data management and security. The chapters help to provide a high level of understanding of various blockchain algorithms along with the necessary tools and techniques. The novel architectural solutions in the deployment of blockchain presented here are the core of the book.




Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles


Book Description

Blockchain was first conceptualized as a method of building trust in machines and has grown into a vital aspect of many different sectors of the economy. Recently, attention has shifted to the field of autonomous vehicles, and the added value blockchain can provide for the future of this sector by building next generation secure decentralized, distributed, and trusted automated environments and enhancing the productivity of several autonomous applications. Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles is a critical reference source that explores the applications of blockchain in automated industries. Featuring coverage on a wide range of topics including privacy, risk assessment, and performance optimization, this book is ideally designed for design engineers, industry professionals, cryptographers, service designers, entrepreneurs, government officials, consultants, researchers, academicians, and students.




Distributed Computing to Blockchain


Book Description

Distributed Computing to Blockchain: Architecture, Technology, and Applications provides researchers, computer scientists, and data scientists with a comprehensive and applied reference covering the evolution of distributed systems computing into blockchain and associated systems. Divided into three major sections, the book explores the basic topics in the blockchain space extending from distributed systems architecture, distributed ledger, decentralized web to introductory aspects of cryptoeconomics (cryptography and economics) of decentralized applications. The book further explores advanced concepts such as smart contracts; distributed token mining, initial coin offerings; proof of work; public, private, and other blockchains; cryptography; security; and blockchains. The book goes on to review byzantine fault tolerance, distributed ledgers versus blockchains, and blockchain protocols. The final section covers multiple use cases and applications of distributed computing and the future directions for blockchains. - Presented as a focused reference handbook describing the evolution of distributed systems, blockchain, and consensus algorithms emphasizing the architectural and functional aspects - Integrates the various concepts of cryptography in blockchain and further extends to blockchain forensics - Provides insight and detailed Interpretation of algorithms for consensus in blockchains




Foundations of Blockchain


Book Description

This book provides a comprehensive analysis of fundamental topics related to blockchain. Throughout, the authors explore different vital issues and specific areas of blockchain. For convenience, the authors present the elementary description, visualize the working procedure of blockchain paradigm, and highlight the areas it can be applied in real life. They explain the blockchain process from a diverse perspective i.e. distributed Internet of Things (IoT), interdependent networks, intelligent mining, etc. They also analyze the interconnection of a blockchain network and such novel research areas to show a pathway towards a new research direction. This book also holds the core challenges and open research issues of blockchain technology, considering existing applications. Chapters include consensus mechanisms of blockchain, blockchain applicability in centralized and decentralized internet of things, blockchain interoperability from the perspective of interdependent networks, and blockchain for resource-constrained devices. Specifies the importance of theoretical methods in dealing with problems in the context of blockchain for interdependent decision making; Provides a comprehensive investigation of blockchain algorithms and the recently developed methods based on this algorithm; Provides basics and mathematical foundations needed to learn and deploy blockchain.