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الصفحة 19
Climate Smart Agriculture : Building Resilience to Climate Change
"The book uses an economic lens to identify the main features of climate-smart agriculture (CSA), its likely impact, and the challenges associated with its implementation. This book offers tools and insights for a range of stakeholders to help meet these challenges in the many forms they are manifested."
Challenges for Central Banks in an Enlarged EMU
In this book, a set of internationally renowned economists from both sides of the Atlantic analyse the challenges that lie in front of the EU as it used to be, the hurdles that have to be cleared by possible candidates, and the impact of these developments on important economic sectors like the financial markets, etc. The scientists are supported by Central Bankers from current and future Euro-zone members who give their views on the problems and chances of Euro-accession. The book is thus providing an overall view of the major developments regarding the Euro in the years to come.
Capital, Systems, and Objects : The Foundation and Future of Organizations
Provides a set of integrated frameworks—capital, systems, and objects—that transcend managerial or technology hype by focusing on the long-term fundamentals that sustain organizational success. Many organizations are currently addressing two important transformational issues: ecological sustainability and digitization. Sustainability is a goal, an end, and digitization is a process, a means to achieve a goal. This book introduces a flexible model that can be applied to current and future organizational challenges, including sustainability and digitization, because the fundamentals are constant.
Capital project management ; Vol.1 : Capital project strategy
Tells the Tesla story and then presents chapters that address, in order: corporate governance and project stakeholder or communication management, project portfolios as strategic corporate portfolios, and an executive-level review of the best-practice project management paradigm, as applied to capital projects.
Business Unusual : Values, Uncertainty and the Psychology of Brand Resilience
This book reveals the psychology behind how we feel about businesses, their communications and their leaders in a digital world. From understanding the new dynamics shaping online behaviour, to the evolving expectations driving employees and consumers, Business Unusual will teach you how to build a resilient business - one that is built on trust, an engaged and fulfilled workforce, and the brand values that can empower you to craft resonant communications and relationships.
Business statistics : Communicating with numbers
Takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. this title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. the authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. this title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapt.
Business ethics from the 19th century to today : An economist's view
Combines elements of economic and business history to study business ethics from the nineteenth century to today. It concentrates on American and British business history, delving into issues such as slavery, industrialization, firm behavior and monopolies, and Ponzi schemes. This book draws on the work of economists and historians to highlight the importance of changing technologies, religious beliefs, and cultural attitudes, showing that what is considered ethical differs across time and place.
Business cycle dynamics : Models and tools
Business cycle theory has been one of the fastest growing fields in modern nonlinear economic dynamics. The book is centered around models of multiplier-accelerator type, emerging from Samuelson's seminal work, later developed into nonlinear formats by Hicks and Goodwin. These models left open ends, as the tools then available did not permit more systematic analysis.
Bringing the Jobless into Work? : Experiences with Activation Schemes in Europe and the US
Over the last decade, many industrialized countries shifted from passive unemployment and welfare benefit regimes and traditional active labor market and social policies to activation strategies by making benefit receipt conditional upon accepting job offers or participation in active labor market schemes. But countries differ with regard to the design of activation instruments and their implementation, the definition of target groups and the effects of activation in the national labor market setting. This volume provides an up-to-date overview of activation strategies in unemployment benefit systems and social assistance in selected European countries and the US. A particular focus lies on the development of activation schemes, governance and implementation as well as on the outcomes of activation in terms of labor market and social integration. The volume is the first to address these issues both from a socio-economic and a legal perspective.
Big Data Science in Finance
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides
Biased technical change and economic conservation laws
Makes use of Lie groups to shed new light on the analysis of economic conservation laws. Economic conservation laws are not simply abstract concepts; this book shows that they are tools of empirical analysis that can be applied to such topics as analyses of macro performance and corporate efficiency.
Becoming virtual : Knowledge management and transformation of the distributed organization
This book examines the capabilities needed to transform a globally distributed organization into a virtual organization (an organization that exists and operates across time and distance with the support of global communications technologies such as the Internet). It introduces techniques for definition of goals for virtualization, for monitoring progress toward virtualization and for studying the impact of virtualization on social uncertainty, knowledge sharing and knowledge transfer, organizational memory, transactive memory, communities of practice and organizational commitment, power and control. These techniques are applied in an extended case study of a development aid organization's attempts to use knowledge management for virtualization over a two year period. The multidisciplinary team of authors examines virtualization from points of view ranging from the organizational to the technological to the sociological and psychological.
Banking Sector Liberalization in India : Evaluation of Reforms and Comparative Perspectives on China
Banking Sector Liberalization in India explores in detail the changes in the Indian banking sector over the last 20 years, and puts them into a comparative perspective with the Chinese banking sector. For this purpose, the author develops a detailed indicator-based framework for assessing the liberalization of a banking sector along various process steps based on financial liberalization and transformation studies. This framework, along with the indicators for the process and the results of liberalization, is applied to the banking sectors in India and China to test for the effects of liberalization on the sector and the macro level. The key finding is that while liberalization has improved the sectoral performance, it has so far had no effect on the macro level. The book features a detailed description of recent reforms in the Indian banking sector, a set of indicators for evaluating banking sector reforms, and a large number of graphs with key figures for the banking sectors in India and China.
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.
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.
Applied Research in Uncertainty Modeling and Analysis
For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.
Applied Research in Environmental Economics
Sustainable development, climate policy, and biodiversity conservation are examples of issues on the current political agenda in many countries. These themes are also subject to economic research, and economic insights are increasingly finding their way into the design of environmental policy. Still, the reception of academic findings by policy makers as well as the timely identification of policy-relevant questions by economic researchers often seem to be problematic. This volume attempts to vitalise the exchange between policy makers and academics. It offers a snapshot of environmental economic research on a range of policy-relevant problems.
Applied Econometrics with R
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric research.
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.
AI and the future of banking
Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development.
