Provides a broad and deep survey of Roman Catholic life and thought, updated and expanded throughout The Wiley Blackwell Companion to Catholicism provides an authoritative overview of the history, doctrine, practices, and expansion of Catholicism. Written by a group of distinguished scholars, this comprehensive reference work offers an illuminating account of the global, historical, and cultural phenomena of Catholicism. Accessible chapters address central topics in the practice of Catholic theology and the development of doctrine, including God and Jesus Christ, creation and Church, the Virgin Mary, the sacraments, moral theology, eschatology, and more. Throughout the text, the authors illustrate the unity and diversity of Catholic life and thought while highlighting the ways Catholicism overlaps with, and transforms, other ways of living and thinking. Now in its second edition, The Wiley Blackwell Companion to Catholicism is fully updated to include recent developments in the study of Catholicism. Extensively revised and expanded chapters, many of which written by new authors, address contemporary issues such as theology and politics, environmentalism, and the clerical sexual abuse crisis. Entirely new chapters cover the early modern Church, the Bible in Catholic theology, the Eastern Catholic churches, liturgy, care for creation, the consecrated life, challenges for the Catholic Church, and more. An informed and engaging intellectual journey through the past and present of Roman Catholicism, The Wiley Blackwell Companion to Catholicism: Illustrates the diversity of modern Catholic life and thought Describes Catholics in different lands, including the Holy Land, India, Africa, Europe, the British Isles, Asia, Oceania, and the Americas Surveys spirituality and ecumenism, inter-religious dialog, Catholic schools and hospitals, art and the sciences, the Holy See, and other central Catholic institutions and practices Covers major eras in Catholic history, from the Scriptures and the early Church to Post-Modernity Features new material on diverse practices of Catholicism across cultures, the global dimensions of the Catholic Church, race and ethnicity, and Eastern Catholic Churches The Wiley Blackwell Companion to Catholicism, Second Edition, is the ideal textbook for surveys classes on Catholicism and Catholic theology in Catholic, Protestant, and non-confessional colleges and universities. It is also an invaluable resource for scholars and general readers interested in broadening their knowledge of Catholicism.

Multinational Firms and International Relocation addresses the impact of inward foreign direct investment on the host country and the extent to which it displaces jobs at home. Multinational firms in the United States, Japan and the European Union are focused on by a distinguished group of international business scholars who include Giovanni Balcet, Pierre-Andre Buigues, Wong Yu Ching, John H. Dunning, Edward M. Graham, F. Harianto, Thomas Hatzichronglou, Alexis Jacquemin, Terutomo Ozawa, E. Safarian, Philippe Saucier, Yoko Sazanami and Hideki Yamawaki. Issues addressed include European industrial relocations in low wage countries, US direct investments abroad, the strategies of Japanese multinationals, the impact of foreign investment on the domestic manufacturing industry of OECD countries, and multinationals and technology diffusion in South East Asia. International business scholars, business strategists and policy makers will welcome Multinational Firms and International Relocation for the combination of insights and analysis it offers on the strategies of multinational firms, the impacts of their relocation policies and the evolution of the delocalization debate.

Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory. The book will appeal to engineers, researchers, and students in Fuzziness and applied mathematics.

1. 1 Introduction This book is written in four major divisions. The first part is the introductory chapters consisting of Chapters 1 and 2. In part two, Chapters 3-11, we develop fuzzy estimation. For example, in Chapter 3 we construct a fuzzy estimator for the mean of a normal distribution assuming the variance is known. More details on fuzzy estimation are in Chapter 3 and then after Chapter 3, Chapters 4-11 can be read independently. Part three, Chapters 12- 20, are on fuzzy hypothesis testing. For example, in Chapter 12 we consider the test Ho : /1 = /10 verses HI : /1 f=- /10 where /1 is the mean of a normal distribution with known variance, but we use a fuzzy number (from Chapter 3) estimator of /1 in the test statistic. More details on fuzzy hypothesis testing are in Chapter 12 and then after Chapter 12 Chapters 13-20 may be read independently. Part four, Chapters 21-27, are on fuzzy regression and fuzzy prediction. We start with fuzzy correlation in Chapter 21. Simple linear regression is the topic in Chapters 22-24 and Chapters 25-27 concentrate on multiple linear regression. Part two (fuzzy estimation) is used in Chapters 22 and 25; and part 3 (fuzzy hypothesis testing) is employed in Chapters 24 and 27. Fuzzy prediction is contained in Chapters 23 and 26. A most important part of our models in fuzzy statistics is that we always start with a random sample producing crisp (non-fuzzy) data.

This book brings together the key works on the global factory - a unique approach to the modern global economy that focuses on the orchestrating role of key multinational firms that control an integrated international network of independent firms. This analysis is conducted at global system level, at the level of global value chains and for individual firms. These three levels represent consistent, nested approaches to the analysis of pressing issues of the modern international economy. The Global Factory examines the internalisation theory of the multinational enterprise as it applies to global interfirm networks, and pays particular attention to multinational firms from emerging countries. It examines the governance and performance of global factories, their internationalisation and knowledge management strategies and the potential for multinational firms to address societal failures. The role of technology, the use of tax havens by Chinese multinationals and the division of entrepreneurial labour between global factories and smaller local firms are all explored as fascinating aspects of the overarching theory. This is an essential point of reference on Buckley's work on the global factory for academics and students of business, as well as managers of multinational firms and public policy makers.

This book examines the role of knowledge within multinational enterprises and their global networks. It introduces the concept of 'Global Factory' - a framework for the understanding of spatially distributed activities under the control of a focal firm. It examines knowledge transfer processes in MNEs with particular reference to technology transfer to China. It also focuses on the role of foreign direct investment in the transformation of China. It ends with a research agenda.

This book presents important applications of soft computing and fuzziness to the growing field of web planning. A new method of using fuzzy numbers to model uncertain probabilities and how these can be used to model a fuzzy queuing system is demonstrated, as well as a method of modeling fuzzy queuing systems employing fuzzy arrival rates and fuzzy service rates. All the computations needed to get to the fuzzy numbers for system performance are described starting for the one server case to more than three servers. A variety of optimization models are discussed with applications to the average response times, server utilization, server and queue costs, as well as to phenomena identified with web sites such as "burstiness" and "long tailed distributions".

Spanning diverse current topics in the field of international strategic management, this collection represents the best writings of Peter Buckley, one of the world's leading authorities in the field. The book looks at three main areas in detail: international strategic management and government policy; foreign investment in China, Vietnam and Japan; and trade blocs, foreign market servicing strategies and international transfer pricing. An essential volume for anyone wishing to keep up-to-date with recent developments in international strategic management.

The book is the culmination of a research effort which spanned all continents and involved a large number of research teams from both the industrialised and developing countries. The book addresses a number of key issues related to technology transfer by small and medium-sized enterprises most especially whether such companies are more effective transferors than larger transnational corporations. A key aspect of the research was the fact that firms in source and host countries were matched to assure a degree of consistency in the firm coverage and their responses.

The Multinational Enterprise and the Emergence of the Global Factory brings together research papers authored by Peter J. Buckley, focusing on three of the most important empirical and theoretical issues in the global economy: the rise of the 'global factory'; the growth of FDI from emerging economies; recent developments in the theory of IB.

This volume identifies and analyses the crucial issues in the impact of multinational enterprises (MNEs) on less developed countries (LDCs). Although the authors take a variety of wide stances on the important questions a uniformity of approach emerges. The perspective is essentially that of economic analysis but it is enlivened by unorthodox concepts derived from related social science disciplines. The chapters cover the process of development, paying attention to entrepreneurship, cultural factors and management styles and examine the impact on welfare and income distribution in the host country.

The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice."

1. 1 Introduction This book is written in two major parts. The ?rst part includes the int- ductory chapters consisting of Chapters 1 through 6. In part two, Chapters 7-26, we present the applications. This book continues our research into simulating fuzzy systems. We started with investigating simulating discrete event fuzzy systems ([7],[13],[14]). These systems can usually be described as queuing networks. Items (transactions) arrive at various points in the s- tem and go into a queue waiting for service. The service stations, preceded by a queue, are connected forming a network of queues and service, until the transaction ?nally exits the system. Examples considered included - chine shops, emergency rooms, project networks, bus routes, etc. Analysis of all of these systems depends on parameters like arrival rates and service rates. These parameters are usually estimated from historical data. These estimators are generally point estimators. The point estimators are put into the model to compute system descriptors like mean time an item spends in the system, or the expected number of transactions leaving the system per unit time. We argued that these point estimators contain uncertainty not shown in the calculations. Our estimators of these parameters become fuzzy numbers, constructed by placing a set of con?dence intervals one on top of another. Using fuzzy number parameters in the model makes it into a fuzzy system. The system descriptors we want (time in system, number leaving per unit time) will be fuzzy numbers.

This volume encompasses the latest thinking on international business strategy and organization. It spans topics ranging from the influence of national culture on international business strategies, to the reorganization of corporate strategies in the context of the European single market. It represents an international coverage of the leading edge research findings in this area.

The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy queuing decision analysis using possibility theory; fuzzy differential equations; fuzzy difference equations; fuzzy partial differential equations; fuzzy eigenvalues based on an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm; fuzzy integral equations. Other important topics covered are fuzzy input-output analysis; fuzzy mathematics of finance; fuzzy PERT (project evaluation and review technique). No previous knowledge of fuzzy sets is needed. The mathematical background is assumed to be elementary calculus.

1.1 Introduction This book is written in the following divisions: (1) the introductory chapters consisting of Chapters 1 and 2; (2) introduction to fuzzy probability in Ch- ters3-5; (3)introductiontofuzzyestimationinChapters6-11; (4)fuzzy/crisp estimatorsofprobabilitydensity(mass)functionsbasedonafuzzymaximum entropyprincipleinChapters12-14; (5)introductiontofuzzyhypothesiste- ing in Chapters 15-18; (6) fuzzy correlation and regression in Chapters 19-25; (7) Chapters 26 and 27 are about a fuzzy ANOVA model; (8) a fuzzy esti- tor of the median in nonparametric statistics in Chapter 28; and (9) random fuzzy numbers with applications to Monte Carlo studies in Chapter 29. First we need to be familiar with fuzzy sets. All you need to know about fuzzy sets for this book comprises Chapter 2. For a beginning introduction to fuzzysetsandfuzzylogicsee 8]. Oneotheritemrelatingtofuzzysets, needed infuzzyhypothesistesting, isalsoinChapter2: howwewilldeterminewhich of the following three possibilities is trueM N or M? N, for two fuzzy numbers M, N. TheintroductiontofuzzyprobabilityinChapters3-5isbasedonthebook 1] and the reader is referred to that book for more information, especially applications. Whatisnewhereis: (1)usinganonlinearoptimizationprogram in Maple 13] to solve certain optimization problems in fuzzy probability, where previously we used a graphical method; and (2) a new algorithm, suitable for using only pencil and paper, for solving some restricted fuzzy arithmetic problems. The introduction to fuzzy estimation is based on the book 3] and we refer the interested reader to that book for more about fuzzy estimators.