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Including studies on different topical issues in finance by the participants of the 8th international scientific conference “New Challenges of Economic and Business Development – 2016” this new work contains research from various European countries, specifically Germany, Italy, Latvia, Malta, and Poland.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
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.
Knowledge management (KM) has become an evolving discipline since the early 1990s, when organizations started perceiving knowledge as a valuable resource. This field of research has its origin in many disciplines, such as: information and IT management, computer science, enterprise management, organization science, human resource management and even philosophy, offering many potential research perspectives and approaches. For more than three decades, organizations of various types have been undertaking efforts to apply knowledge management, in order to benefit from a competitive advantage. Researchers and practitioners from diversified industries, and with different backgrounds, have tried to answer the question how to successfully manage knowledge, knowledge work and knowledge workers, still leaving much space for further research avenues Now, after all those years of research, some old questions have still not been answered and some new ones have arisen. During the pre-conference workshop on “The future of KM: short-time goals and long-term vision”, organized in Barcelona before the European Conference on Knowledge Management 2017 and conducted by myself and my colleague, Dr Sandra Moffett from Ulster University (UK), we asked the participants what their idea of the future of KM was. We could observe many different voices and approaches: some very pessimistic that KM is probably coming to an end, but mostly very promising that there are still many unexplored aspects of KM we should focus on and there is still a plethora of issues related to knowledge management that should be examined. Similar voices can be detected in the flagship article written by Meliha Handzic, who claims that KM definitely has a future, although it may not be without some challenges and obstacles to overcome. This paper links the past (three evolutionary stages of KM called fragmentation, integration and fusion) with the future of KM (three new trends named extension, specialization and reconceptualization). The author also suggests that KM should embrace different approaches under the “KM Conceptual Umbrella”, highlighting the possibility of addressing many themes, ideas or tools linked with knowledge. All the past and future evolutionary stages of KM are described in detail, together with the challenges that the KM field might face in the future. In the second paper, by Philip Sisson and Julie J. C. H. Ryan, the authors present a mental model of knowledge as a concept map being an input to KM research. The authors used qualitative methods, together with system engineering and object analysis methods, to collect various concepts and relate them. The issue of knowledge is elementary in knowledge management and showing the links between particular knowledge terms is of very high value to all KM researchers. Although the length of this article may constitute a challenge, it is definitely worth the effort as it illustrates many multifaceted, multilayered and multidimensional aspects of knowledge. The third paper by Karl Joachim Breunig and Hanno Roberts discusses another valid issue of value creation in the context of knowledge flow. The authors try to answer the question: How can we express knowledge in such a way that it can be monetized and made accessible to specific managerial interventions? Building on the previous extant studies and authors’ ideas, the paper points out that boundary spanners play a focal role in the monetization efforts of knowledge. In the fourth paper by Regina Lenart-Gansiniec one can read about crowdsourcing and the virtual knowledge sharing taking place in this process. The phenomenon of crowdsourcing is still under-researched and not much is known about the virtual exchange of knowledge in crowdsourcing and its benefits, such as co-creation, participation or gaining new ideas, and potential sources of innovations. Apart from the examination of the potential benefits of virtual knowledge sharing, the author also analyses ways of measuring virtual knowledge sharing in the process of crowdsourcing. The fifth paper by Kaja Prystupa concerns knowledge management processes in small entities and the role played by organizational culture. As the aim of this paper, the author set the examination of organizational culture in small Polish companies with the application of a symbiotic-interpretive perspective. Interesting outcomes of this study are: the confirmed role of organizational culture in KM initiatives, the importance of the founder and the industry, and the threat posed by organizational growth, which should be well-managed from the perspective of organizational culture so as not to hinder organizational performance. The sixth and the final paper, by David Mendes, Jorge Gomes and Mário Romão, deals with ways of creating intangible value through the use of a corporate employee portal. The authors undertake the effort to explain how such a portal fosters the creation of organizational values built on intangible assets. As the research confirms, an employee portal can be considered as a strategic tool for promoting organizational culture and cooperation, through information and communication fluxes and through the teamwork of collaborative functionalities. This issue of JEMI integrates contributions from Bosnia and Herzegovina, the United States, Norway, Poland and Portugal. I would like to express my gratitude to all the authors who contributed to this special issue, proving that knowledge management is still a valid topic, and offering abundant research opportunities. I would also like to express my sincerest thanks to the anonymous reviewers who contributed highly to the selection of the best submissions for this issue and guided the authors to further improvements in their works. Finally, I would like to pay special thanks to Dr Anna Ujwary-Gil, Editor-in-Chief of JEMI, for her kind invitation to prepare this special issue and her continual support at each stage of its preparation. I do hope that the readers of JEMI find the selected papers valuable and that they enrich their knowledge on KM issues. Additionally, I do believe that the collected works will be inspiring and offer some future directions for the examination of the knowledge management field. Dr. Małgorzata Zięba Guest Editor, JEMI Assistant Professor, Gdansk University of Technology, Poland
Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.
Exploring the Latest Trends in Management Literature presents cutting edge literature reviews on the emerging concepts, theories, and research trends across management disciplines.
This book deals with the widespread economic and financial crime issues of corruption, the shadow economy and money laundering. It investigates both the theoretical and practical aspects of these crimes, identifying their effects on economic, social and political life. This book presents these causes and effects with a state of the art review and with recent empirical research. It compares the international and transnational aspects of these economic and financial crimes through discussion and critical analysis. This volume will be of interest to researchers and policy makers working to study and prevent economic and financial crime, white collar crime, and organized crime.
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.