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Big data and artificial intelligence in digital finance : Increasing personalization and trust in digital finance using big data and AI
This book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data.
Big data analysis of nanoscience bibliometrics, patent, and funding data (2000-2019)
Presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.
Applications of artificial intelligence in business, education and healthcare
Highlights the opportunities and challenges of artificial intelligence in business, education, and healthcare from institutional, environmental, social perspectives Includes empirical and theoretical research Presents applications of Artificial Intelligence in Business, Education and Healthcare
AI, data, and digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers
Artificial Intelligence, Big Data and Digitalization allow us more than ever beforeto make use of the data our society and public and private sectors generate every day.Institutions around the world are increasingly turning to such methods and technologiesto help them solve complex problems, promote efficiency and improve performance anddecision-making.
AI in learning : Designing the future
AI (artificial intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning.
Agent Technology and e-Health
Multi-agent systems are one of the most exciting research areas in Artificial Intelligence. This book reports on the results achieved in this area, discusses the benefits (and drawbacks) that agent-based systems may bring to medical domains and society.
Advances in web mining and web usage analysis ; 6th International workshop on knowledge discovery on the web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers
The Webisaliveenvironmentthatmanagesanddrivesawidespectrumofapp- cations in which a user may interact with a company, a governmental authority, a non-governmental organization or other non-pro?t institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and business-optimal services. Key Web business metrics enabled by proper data capture and processing are essential to run an e?ective business or service. Enabling technologies include data mining, sc- able warehousing and preprocessing, sequence discovery, real time processing, document classi?cation, user modeling and quality evaluation models for them. Recipient technologies required for user pro?ling and usage patterns include recommendation systems, Web analytics applications, and application servers, coupled with content management systems and fraud detectors.
Market Entry Strategies in Eastern Europe in the Context of the European Union : An Empirical Research into German Firms Entering the Polish Market
The preparations for market entry in a foreign country include various aspects and are influenced by factors inside and outside the firm. Based on face to face interviews with decision makers of 16 German firms Michael Klug analyses the applied strategy and the motivation for market entry and investigates different strategy theories like Porter's market based view for their suitability to explain the firms' strategy abroad. The author discusses the operational design including forms of market presence and marketing mix to realise a chosen strategy and shows the influence of the European Union as an institutional arrangement for firms preparing a venture abroad.
Management of Innovation in Network Industries : The Mobile Internet in Japan and Europe
This book focuses on the following questions: Which are the implications of different approaches towards management of systemic innovations? Do differences matter and why do they matter? The author shows that Europeans can learn from the Japanese and gives advice for future approaches to developments in the European telecommunications industry.
Legitimacy Needs as Drivers of Business Exit
A diversified firm’s withdrawal from a business unit, i.e. business exit, is a significant phenomenon in management practice. Although divestitures are highly relevant in practice, the acquisition of business units attracts much more attention in strategic management research. Carolin Decker develops and empirically applies a framework in which business exits serve the purpose of re-establishing a firm’s previously harmed legitimacy. She suggests four types of legitimacy needs that are to be satisfied with the divestiture of a business unit and the simultaneous pursuit of strategic reorientation. The author tests the theoretical framework with secondary data on 213 business exits. Her findings support the idea that legitimacy needs drive the likelihood of fit-enhancing business exits in divesting firms.
Knowledge and Institutions
Bridges the disciplinary boundaries within the social sciences to explore the role of social institutions in shaping geographical contexts, and in creating new knowledge. It includes theorizations as well as original empirical case studies on the emergence, maintenance and change of institutions as well as on their constraining and enabling effects on innovation, entrepreneurship, art and cultural heritage, often at regional scales across Europe and North America. Rooted in the disciplines of management and organization studies, sociology, geography, political science, and economics the contributors all take comprehensive approaches to carve out the specific contextuality of institutions as well as their impact on societal outcomes. Not only does this book offer detailed insights into current debates in institutional theory, it also provides background for scholars, students, and professionals at the intersection between regional development, policy-making, and regulation.
Italian Institutional Reforms : A Public Choice Perspective
Using a public choice perspective, this book explains the evolution and political and economic impact of recent changes to the Italian institutional framework. Because these changes are so numerous and broad, their implementation serves as a case study for other Western governments. Particular attention is paid to the introduction of the EURO, the reform of voting from proportional to majoritarian rule, the impact of corporatism, constraints imposed by the Maastricht Treaty, and the switch from a highly centralized government to a federal organization.
Business Education and Emerging Market Economies : Perspectives and Best Practices
Business Education in Emerging Market Economies discusses the impact of business education on emerging markets and explores curricular innovation, pedagogical approaches, and strategic alliances in the context of industrializing economies. Emerging markets consist of eighty percent of the world's population and some 75% of its trade growth in the foreseeable future according to the U.S. Department of Commerce. The potential economic growth of emerging markets has prompted a need to understand the dynamics of these markets, their business institutions, and their educational systems. The pressures of globalization and the recent economic reforms that swept across emerging, developing, and transitioning, economies have had a positive impact on the demand for business education and business knowledge from the developed and industrialized countries. As a result, many methods were developed to transfer know-how from the developed markets including learning through imitation, using western style pedagogical approaches, attending universities in industrialized countries, learning through experience and practice, and using information technology. The conclusion we reach is that business and management education in emerging markets is fast changing the way in which these markets operate and are perceived – business educators are catalysts for greater economic integration.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
Banks and shareholder value : An overview of bank valuation and empirical evidence on shareholder value for banks
In the German banking sector, management is continually increasing its focus on shareholder interests. This can be seen in the ambitious profitability targets set by management in this sector. Some municipalities are also putting increasing pressure on Landesbanks and saving banks, as members of the largest German banking group, to create greater financial value.
Banking on (artificial) intelligence : Navigating the realities of ai in financial services
Provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. it investigates the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. it also examines the key pillars of responsible AI and the importance of keeping humans in the loop. the book takes a deep dive into the use cases in the financial services industry, the challenges and opportunities, and the fragmented regulatory landscape. how can we effectively assess risks, and balance innovation and customer centricity with trust in AI in financial services? can smaller organizations reap the benefits of the technology? how can institutions deploy AI responsibly and securely, and promote a fairer and more equitable future for more people?
Banking for Family Business: A New Challenge for Wealth Management
Hints of globalization have actually been around for several decades, even though they made only a modest impact; however, the availability of global capital and advances in communication technology have emp- sized the process of internationalization and the tools available to connect and integrate business activities to answer to more complex needs of c- ents. Moreover, the financial scandals and the review of mutual fund trade activity in the US by the Attorney General Elliot Spitzer have highlighted the importance to focus all efforts on renewing the confidence of prof- sional investors and their clients who have entrusted their capital to asset managers. Therefore, there is a growing need in the market to reinforce the concept of “Shared Positive Values” among the entire industry and among its stakeholders.
Automotive production systems and standardisation : From Ford to the case of Mercedes-Benz
The introduction of the Mercedes-Benz Production System (MPS) is exemplary of a trend within the automotive industry: the creation and introduction of company-specific standardised production systems. This book contributes to the debate about production systems by examining the social and economic implications of the role of standardisation in production systems. In this context it addresses three core issues: First, the driving forces behind the changing forms and functions of standardisation and the role of institutions therein. Second, the impact of standardisation on the evolution of automotive production systems. Third, based on the author's own empirical research conducted over a three year period at the Mercedes-Benz plant Stuttgart-Untertürkheim/Germany, the book examines the influence of standardisation on the work of actors on the shop floor in terms of organisational learning processes and the regulation of work.
Asias New Institutional Architecture : Evolving Structures for Managing Trade, Financial, and Security Relations
This book investigates the origins and evolution of Asia’s new institutional architecture in trade, finance, and security from both a theoretical and empirical perspective. The traditional institutional equilibrium in Asia has come under heavy strain in the "post triple shocks period" - the post-Cold War, the post-financial crisis of 1997-98, and the post-9-11 attacks. The new dynamics of rivalry and cooperation among states at both the intraregional and transregional levels is now shaping a new institutional architecture. Political and business leaders from Northeast and Southeast Asia interact with each other more frequently. South Asia’s participation in the rest of Asia in recent years is truly impressive. As we show, the future institutional trajectory of Asia is still open, but we believe that the book provides a timely examination of key shifts in the region. In doing so, our hope is to provide policymakers and analysts with an institutional road map for the future.
Applications of simulation methods in environmental and resource economics
Simulation methods are revolutionizing the practice of applied economic analysis. This volume collects eighteen chapters written by leading researchers from prestigious research institutions the world over. The common denominator of the papers is their relevance for applied research in environmental and resource economics. The topics range from discrete choice modeling with heterogeneity of preferences, to Bayesian estimation, to Monte Carlo experiments, to structural estimation of Kuhn-Tucker demand systems, to evaluation of simulation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods.
