Advances in Crowdfunding: Research and Practice

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Advances in Crowdfunding

This open access book presents a comprehensive and up-to-date collection of knowledge on the state of crowdfunding research and practice. It considers crowdfunding models and their different manifestations across a variety of geographies and sectors, and explores the perspectives of fundraisers, backers, platforms, and regulators. Gathering insights from a wide range of influential researchers in the field, the book balances concepts, theory, and case studies. Going beyond previous research on crowdfunding, the contributors also investigate issues of community, sustainability, education, and ethics. A vital resource for anyone researching crowdfunding, this book offers readers a deep understanding of the characteristics, business models, user-relations, and behavioural patterns of crowdfunding

Online Peer-to-Peer Lending Regulation: Justification, Classification and Remit in UK Law

Despite its benefits, online peer-to-peer lending bears the risks associated with traditional forms of institutionalised lending. However, because individuals have taken over the role of the institutional lender, and the institutional participant in this form of lending takes a step back by acting only as an intermediary between the borrowers and lenders, ordinary individuals are left to bear the type of risks that institutions have traditionally borne, but without the same means of doing so. There has been little academic analysis of the role and form that regulation should take in the regulation of peer-to-peer lending and most discussions centre on the American regulatory experience. This thesis sets out to examine the theoretical classification of online peer-to-peer lending and the theoretical and practical justifications for regulating it. The aim is to ascertain the most appropriate way to regulate peer-to-peer lending, taking into account the underlying conceptual model which underpins it. The study adopts a theoretical analysis of P2PL participants and regulation based on the concepts of consumer protection and paternalism. It includes a doctrinal analysis of the UK peer-to-peer lending legislation and regulation to identify, describe and explain the rules pertaining to the industry. It also uses a comparative approach to compare P2PL with existing forms of financial lending and similar (dis)intermediated forms of transacting between individuals to show that online peer-to-peer lending is a unique form of intermediated transaction. The thesis argues that it is important that regulation displays an understanding of the underlying conceptual framework of the business model it aims to regulate. In doing so, it also argues that the peer-to-peer lending users are more than just ‘consumers’. They demonstrate a shift in the conception of individuals from consumers to prosumers because they participate in the production side of the services they receive. It goes further than existing discussions of prosumption by positing the concept of the ‘lendsumer’ to give a more accurate account of the role and experiences of peer-to-peer lenders and the effect this has on their transactional relationships and the risks they face because of this role. Based on this analysis, the thesis shows that the UK regulatory regime has limited suitability because it lacks awareness of the underlying prosumption model of peer-to-peer lending, focusing only on the business-to-consumer aspects. Consequently, it does not resolve all the issues resulting from the tripartite, participatory nature of the peer-to-peer lending transaction. In light of these findings, the thesis proposes the regulatory use of two main concepts and highlights their implications for peer-to-peer lending regulation. The first is the ‘lendsumer’ as a new paradigm of the consumer which has implications for the regulatory protections afforded to the P2P lenders. The second is the use of gatekeeper liability, adapted to online peer-to-peer lending, as a way to affect these protections in light of the particular vulnerabilities and risks experienced by the peer-to-peer lender

Disrupting Finance

This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry

Entrepreneurial borrowing : do entrepreneurs seek and receive enough credit?

This work reviews the literature on entrepreneurial borrowing. The dynamic concept of the “entrepreneurial credit journey” is developed to frame the discussion of supply and demand side issues affecting entrepreneurial borrowing. The entrepreneurial credit journey follows the entrepreneur from the development of credit needs, through application and lending decisions and, beyond, to the consequences of these earlier decisions for firm performance. The literature has traditionally focussed on the lending decision stage, including: problems of credit rationing which may arise due to asymmetric information; and lending technologies to reduce information issues. However, on the demand side, discouraged borrowers, who decide not to apply for fear of rejection, have received increasing attention. There is also greater attention to issues of entrepreneurial cognition (e.g., over-optimism, illusion of control) which may adversely affect borrowing decisions. In terms of the firm performance effects of credit access, the review highlights the widely used internal finance approach to testing financial constraints is unidentified because it is unable to disentangle financial from cognitive constraints. An alternative, more direct, external funding gaps test of underinvestment is therefore proposed. The policy literature is also reviewed which suggests that assistance in the form of loan guarantees has been both finance and economic additional (i.e., providing entrepreneurs with credit they cannot get elsewhere and helping to create jobs that would not otherwise have been created) especially following the Great Financial Crisis. A discussion of the literature relating to underrepresented groups in the entrepreneurial credit market highlights that female and ethnic minority entrepreneurs may receive less credit, and/or pay a higher rate on the credit they receive, than their male or white counterparts. This speaks to ongoing issues of gender stereotypes and ethnic discrimination in the credit market. The increasing role of peer-to-peer lending following the Great Financial Crisis, and its potential for ‘democratizing entrepreneurial finance’, is discussed. This literature highlights that, while peer-to-peer lending is helping to fill credit gaps following the Great Financial Crisis, there are issues relating to the performance of small business peer-to-peer loans and possible issues of ethnic discrimination. The review concludes with proposals for future research on entrepreneurial borrowing, including: collecting more data relating to entrepreneurial credit journeys; developing tests for the presence of information asymmetries and the nature of selection in entrepreneurial credit markets; testing relationships between stages of the entrepreneurial credit journey (e.g., to shed light on the causes of discouragement); developing tests which disentangle financial from cognitive constraints; and researching entrepreneurial and bank learning over recurrent entrepreneurial credit journeys

Sustainability, Digital Transformation and Fintech: The New Challenges of the Banking Industry

In the current competitive scenario, the banking industry must contend with multiple challenges tied to regulations, legacy systems, disruptive models/technologies, new competitors, and a restive customer base, while simultaneously pursuing new strategies for sustainable growth. Banking institutions that can address these emerging challenges and opportunities to effectively balance long-term goals with short-term performance pressures could be aptly rewarded. This book comprises a selection of papers addressing some of these relevant issues concerning the current challenges and opportunities for international banking institutions. Papers in this collection focus on the digital transformation of the banking industry and its effect on sustainability, the emergence of new competitors such as FinTech companies, the role of mobile banking in the industry, the connections between sustainability and financial performance, and other general sustainability and corporate social responsibility (CSR) topics related to the banking industry. The book is a Special Issue of the MDPI journal Sustainability, which has been sponsored by the Santander Financial Institute (SANFI), a Spanish research and training institution created as a collaboration between Santander Bank and the University of Cantabria. SANFI works to identify, develop, support, and promote knowledge, study, talent, and innovation in the financial sector

Crypto-currency and blockchain: the revolution of the world economic system and digital identities

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Disrupting Finance : FinTech and Strategy in the 21st Century

This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry

Enhancing trustability in MMOGs environments

Massively Multiplayer Online Games (MMOGs; e.g., World of Warcraft), virtual worlds (VW; e.g., Second Life), social networks (e.g., Facebook) strongly demand for more autonomic, security, and trust mechanisms in a way similar to humans do in the real life world. As known, this is a difficult matter because trusting in humans and organizations depends on the perception and experience of each individual, which is difficult to quantify or measure. In fact, these societal environments lack trust mechanisms similar to those involved in humans-to-human interactions. Besides, interactions mediated by compute devices are constantly evolving, requiring trust mechanisms that keep the pace with the developments and assess risk situations. In VW/MMOGs, it is widely recognized that users develop trust relationships from their in-world interactions with others. However, these trust relationships end up not being represented in the data structures (or databases) of such virtual worlds, though they sometimes appear associated to reputation and recommendation systems. In addition, as far as we know, the user is not provided with a personal trust tool to sustain his/her decision making while he/she interacts with other users in the virtual or game world. In order to solve this problem, as well as those mentioned above, we propose herein a formal representation of these personal trust relationships, which are based on avataravatar interactions. The leading idea is to provide each avatar-impersonated player with a personal trust tool that follows a distributed trust model, i.e., the trust data is distributed over the societal network of a given VW/MMOG. Representing, manipulating, and inferring trust from the user/player point of view certainly is a grand challenge. When someone meets an unknown individual, the question is “Can I trust him/her or not?”. It is clear that this requires the user to have access to a representation of trust about others, but, unless we are using an open source VW/MMOG, it is difficult —not to say unfeasible— to get access to such data. Even, in an open source system, a number of users may refuse to pass information about its friends, acquaintances, or others. Putting together its own data and gathered data obtained from others, the avatar-impersonated player should be able to come across a trust result about its current trustee. For the trust assessment method used in this thesis, we use subjective logic operators and graph search algorithms to undertake such trust inference about the trustee. The proposed trust inference system has been validated using a number of OpenSimulator (opensimulator.org) scenarios, which showed an accuracy increase in evaluating trustability of avatars. Summing up, our proposal aims thus to introduce a trust theory for virtual worlds, its trust assessment metrics (e.g., subjective logic) and trust discovery methods (e.g., graph search methods), on an individual basis, rather than based on usual centralized reputation systems. In particular, and unlike other trust discovery methods, our methods run at interactive rates.MMOGs (Massively Multiplayer Online Games, como por exemplo, World of Warcraft), mundos virtuais (VW, como por exemplo, o Second Life) e redes sociais (como por exemplo, Facebook) necessitam de mecanismos de confiança mais autónomos, capazes de assegurar a segurança e a confiança de uma forma semelhante à que os seres humanos utilizam na vida real. Como se sabe, esta não é uma questão fácil. Porque confiar em seres humanos e ou organizações depende da percepção e da experiência de cada indivíduo, o que é difícil de quantificar ou medir à partida. Na verdade, esses ambientes sociais carecem dos mecanismos de confiança presentes em interacções humanas presenciais. Além disso, as interacções mediadas por dispositivos computacionais estão em constante evolução, necessitando de mecanismos de confiança adequados ao ritmo da evolução para avaliar situações de risco. Em VW/MMOGs, é amplamente reconhecido que os utilizadores desenvolvem relações de confiança a partir das suas interacções no mundo com outros. No entanto, essas relações de confiança acabam por não ser representadas nas estruturas de dados (ou bases de dados) do VW/MMOG específico, embora às vezes apareçam associados à reputação e a sistemas de reputação. Além disso, tanto quanto sabemos, ao utilizador não lhe é facultado nenhum mecanismo que suporte uma ferramenta de confiança individual para sustentar o seu processo de tomada de decisão, enquanto ele interage com outros utilizadores no mundo virtual ou jogo. A fim de resolver este problema, bem como os mencionados acima, propomos nesta tese uma representação formal para essas relações de confiança pessoal, baseada em interacções avatar-avatar. A ideia principal é fornecer a cada jogador representado por um avatar uma ferramenta de confiança pessoal que segue um modelo de confiança distribuída, ou seja, os dados de confiança são distribuídos através da rede social de um determinado VW/MMOG. Representar, manipular e inferir a confiança do ponto de utilizador/jogador, é certamente um grande desafio. Quando alguém encontra um indivíduo desconhecido, a pergunta é “Posso confiar ou não nele?”. É claro que isto requer que o utilizador tenha acesso a uma representação de confiança sobre os outros, mas, a menos que possamos usar uma plataforma VW/MMOG de código aberto, é difícil — para não dizer impossível — obter acesso aos dados gerados pelos utilizadores. Mesmo em sistemas de código aberto, um número de utilizadores pode recusar partilhar informações sobre seus amigos, conhecidos, ou sobre outros. Ao juntar seus próprios dados com os dados obtidos de outros, o utilizador/jogador representado por um avatar deve ser capaz de produzir uma avaliação de confiança sobre o utilizador/jogador com o qual se encontra a interagir. Relativamente ao método de avaliação de confiança empregue nesta tese, utilizamos lógica subjectiva para a representação da confiança, e também operadores lógicos da lógica subjectiva juntamente com algoritmos de procura em grafos para empreender o processo de inferência da confiança relativamente a outro utilizador. O sistema de inferência de confiança proposto foi validado através de um número de cenários Open-Simulator (opensimulator.org), que mostrou um aumento na precisão na avaliação da confiança de avatares. Resumindo, a nossa proposta visa, assim, introduzir uma teoria de confiança para mundos virtuais, conjuntamente com métricas de avaliação de confiança (por exemplo, a lógica subjectiva) e em métodos de procura de caminhos de confiança (com por exemplo, através de métodos de pesquisa em grafos), partindo de uma base individual, em vez de se basear em sistemas habituais de reputação centralizados. Em particular, e ao contrário de outros métodos de determinação do grau de confiança, os nossos métodos são executados em tempo real