الصفحة 2
الصفحة 2
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Leading Pharmaceutical Innovation : Trends and Drivers for Growth in the Pharmaceutical Industry

Pharmaceutical giants have doubled their investments in drug development in the past decade only to see new drug approvals remain constant. This book investigates and highlights a set of proactive strategies aimed at generating sustainable competitive advantage based on value-generating business practices. We focus on three sources of pharmaceutical innovation: new management methods in the drug development pipeline, new technologies as enablers for cutting-edge R&D, and new forms of cooperation and internationalization, such as open innovation in the early phases of R&D. Our findings are illustrated by cases from Europe, the US, and Asia.

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Competition, innovation, and antitrust : A theory of market leaders and Its policy implications

Competition, Innovation, and Antitrust develops a theory of market leadership in the presence of endogenous entry of firms and applies it to models of competition in the market and for the market.

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Company Tax Reform in the European Union : Guidance from the United States and Canada on Implementing Formulary Apportionment in the EU

This book is important reading for both tax policymakers and business leaders. It breaks the mold of conventional thinking by demonstrating that formulary apportionment is a practical way to solve the income-allocation problems confronting the European Union. Equally important, the book gives the advocates of arm’s-length allocation methods some challenging food for thought.

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China's Energy Revolution in the Context of the Global Energy Transition

This book is an encyclopaedic analysis of the current and future energy system of the world’s most populous country and second biggest economy. What happens in China impacts the planet. In the past 40 years China has achieved one of the most remarkable economic growth rates in history. Its GDP has risen by a factor of 65, enabling 850,000 people to rise out of poverty.

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Capital project management ; Vol.2 : Capital project finance

Describes the strategic challenge of adding real economic value, properly and rigorously defined. The author explains how this is accomplished through the capital budgeting process; discusses the importance of free cash flow and finally, capital projects, as financial options, are discussed, as a way to manage risk while enhancing the likelihood of project approval.

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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.

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Business financial information secrets : How a business produces and utilizes critical financial information

Business Financial Information Secrets shows you how to produce, understand, and utilize financial information to the greatest effect for your business and the economy at large. This book guides you through the surprisingly clean and simple process of proper accounting and reporting, regardless of your organization’s size or structure. Cash flow and business capital management are covered extensively throughout the book as without a thorough understanding of these all-important concepts, you could be lacking critical information about the lifeline of your business.

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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

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Behavioral finance and your portfolio : A navigation guide for building wealth

Designed for investors who are serious about maximizing their gains, in this book you’ll discover how to: ● Take control of your decision-making—even when challenging markets push greed and fear to intolerable levels ● Reflect on how to make investment decisions using data-backed and substantiated information instead of emotion and bias ● Counter deep-seated biases like loss aversion, hindsight and overconfidence with self-awareness and hard facts ● Identify your personal investment psychology profile, which you can use to inform your future financial decision making

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Banks and fintech on platform economies : Contextual and conscious banking

In Banks and Fintech on Platform Economies: Contextual and Conscious Banking, accomplished fintech professional and author Paolo Sironi delivers an insightful examination of how platform theory, born outside of financial services, will make its way inside banking and financial markets to radically transform the way firms do business.

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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.

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Assetization : Turning Things into Assets in Technoscientific Capitalism

In this book, scholars from a range of disciplines argue that the asset—meaning anything that can be controlled, traded, and capitalized as a revenue stream—has become the primary basis of technoscientific capitalism. An asset can be an object or an experience, a sum of money or a life form, a patent or a bodily function. A process of assetization prevails, imposing investment and return as the key rationale, and overtaking commodification and its speculative logic. Although assets can be bought and sold, the point is to get a durable economic rent from them rather than make a killing on the market. Assetization examines how assets are constructed and how a variety of things can be turned into assets, analyzing the interests, activities, skills, organizations, and relations entangled in this process.

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Asset Sales : Their Role in Restructuring and Financing Firms

Examines the corporate asset market and the mechanisms of asset sale transactions. The book then focuses on the theory of finance in asset sales (the efficiency and financing theory) and the extensive empirical literature now available. In light of recent and rapid technological and digital advances, the last section presents new perspectives on analyzing asset sales transactions. Chiefly intended as a primer for PhD students and academics, the book offers a road map of the empirical research landscape and suggests future research directions.

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Asias debt capital markets : Prospects and strategies for development

The book has three parts. Part I describes the characteristics and historical origins of these markets. Part II examines the contemporary bond markets and shows how they contribute to general welfare, describes the relationship between the banking sector and capital markets, and assesses prospects for reform in Asia's governmental and corporate debt markets. Part III explains the micro-level impediments and obstacles that must be the first targets of any reform efforts, provides an appraisal of attempts at regional cooperation to stimulate structural reform, and lastly contributes proposals to accelerate the growth and reach of bond markets throughout Asia.

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Artificial intelligence for asset management and investment : A strategic perspective

The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.

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Applications of computational intelligence in data-driven trading

The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry.

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Analysis and Algorithms for Service Parts Supply Chains

Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings. This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy [or (s-1,s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.

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Alternative investments

Alternative Investments is the definitive guide to understanding non-traditional asset classes. Alternatives are a disparate group of investments that are distinguished from long-only, publicly traded investments in stocks, bonds, and cash (often referred to as traditional investments). Alternative investments include real estate, commodities, infrastructure, and other non-traditional investments such as private equity or debt and hedge funds.

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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.

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Agent-Based Models of Energy Investment Decisions

This book demonstrates how bounded rational decision models can be standardized and parameterized by socio-economic data. Focusing on private energy technology investment decisions, the author shows how different representative agents can be constructed using search rules, analysis tools and decision strategies. Diffusion curves for energy technologies such as solar collectors, boilers and efficiency upgrades for buildings are calculated. Further, the model is extended to study the impact of firms’ competition on technology diffusion. The modeling approach presented in this book may serve as a template for applications in other domain.

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