Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.
Mathematical Methods of Analytical Mechanics uses tensor geometry and geometry of variation calculation, includes the properties associated with Noether's theorem, and highlights methods of integration, including Jacobi's method, which is deduced. In addition, the book covers the Maupertuis principle that looks at the conservation of energy of material systems and how it leads to quantum mechanics. Finally, the book deduces the various spaces underlying the analytical mechanics which lead to the Poisson algebra and the symplectic geometry.
Living with Drugs explores topics surrounding their control, use and risk of misuse. The conclusions in this book are drawn from the seminar held at the EHESS in Paris during the years 2015-2017. It involved anthropologists, sociologists, historians, philosophers, economists, lawyers, doctors, psychiatrists, health center workers, community activists, users and former drug users. The seminar, like the resulting book, is based on a transversal approach to disciplines, space and time, and a confluence of academic, practical and experiential knowledge.
Entrepreneurship Trajectories: Entrepreneurial Opportunities, Business Models, and Firm Performance explores several entrepreneurship trajectories recognized by economists and entrepreneurs. It is not possible to talk about growth paths addressed by entrepreneurial ventures without recalling the business model and the type of entrepreneurial opportunity at their foundations. Diego Matricano assumes that the growth paths addressed by entrepreneurial ventures depend on both effective business models and promising opportunities. This pragmatic guide illuminates the entrepreneurial trajectories linking opportunities, business models, and growth paths, offering complete and nuanced views through its extensive use of case studies.
A recurrent theme in Underwriting Commercial Real Estate in a Dynamic Market is that good thinking and good underwriting go together. This stands in contrast with "getting an answer" or even worse "reverse engineering" – getting to a solution by assuming that current trends in market pricing is best. The cases in Underwriting Commercial Real Estate in a Dynamic Market will force readers to recognize that there is no single answer, but rather a range of answers that will depend on numerous perspectives. And, in order to make valuation decisions, they will have to undertake a rich conversation about what constitutes a good trade-off and what does not. Cases can be structured for use with introductory material as well as advanced topics.
IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
The China Business Model: Originality and Limits emphasizes transformation of the Chinese Business Model over the last decades. The impact of the financial crisis on China helps the reader understand its evolution towards capitalism. Topics covered include CSR, leadership, and management in China, how do these organizations impact the performance of companies, the financing policy of Chinese firms and its evolution till the slowdown, finance and business in China, and how could the banking sector and/or the financial markets help the development of Chinese companies?
In April 2010 Europe was shocked by the Greek financial turmoil. At that time, the global financial crisis, which started in the summer of 2007 and reached systemic dimensions in September 2008 with the Lehman Brothers’ crash, took a new course. An adverse feedback loop between sovereign and bank risks reflected into bubble-like spreads, as if financial markets had received a wake-up call concerning the disregarded structural vulnerability of economies at risk.These events inspired the SYRTO project to “think and rethink” the economic and financial system and to conceive it as an “ensemble” of Sovereigns and Banks with other Financial Intermediaries and Corporations. Systemic Risk Tomography: Signals, Measurement and Transmission Channels proposes a novel way to explore the financial system by sectioning each part of it and analyzing all relevant inter-relationships. The financial system is inspected as a biological entity to identify the main risk signals and to provide the correct measures of prevention and intervention.
The Political Economy of Business Ethics in East Asia: A Historical and Comparative Perspective deals with modes of ethical persuasion in both public and private sectors of the national economy in East Asia, from the periods of the fourteenth century, to the modern era. Authors in this volume ask how, and why, governments in pre-modern Joseon Korea, modern Korea, and modern Japan used moral persuasion of different kinds in designing national economic institutions. Case studies demonstrate that the concept of modes of exchange first developed by John Lie (1992) provides a more convincing explanation on the evolution of pre-modern and modern economic institutions compared with Marx’s modes of production as historically-specific social relations, or Smith’s free market as a terminal stage of human economic development. The pre-modern and modern cases presented in this volume reveal that different modes of exchange have coexisted throughout human history. Furthermore, business ethics or corporate social responsibility is not a purely European economic ideology because manorial, market, entrepreneurial, and mercantilist moral persuasions had widely been used by state rulers and policymakers in East Asia for their programs of advancing dissimilar modes of exchange. In a similar vein, the domination of the market and entrepreneurial modes in the twenty-first century world is also complemented by other competing modes of change, such as state welfarism, public sector economies, and protectionism.
Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.