Industrial Organization in Context examines the economics of markets, industries and their participants and public policy towards these entities. It takes an international approach and incorporates discussion of experimental tests of economic models.

Ît then rigorously analyses each model in the tradition of microeconomic theory, leading to a richer, more realistic picture of consumer behavior. Ran Spiegler analyses phenomena such as exploitative price plans in the credit market, complexity of financial products and other obfuscation practices, consumer antagonism to unexpected price increases, and the role of default options in consumer decision making. Spiegler unifies the relevant literature into three main strands: limited ability to anticipate and control future choices, limited ability to understand complex market environments, and sensitivity to reference points. Although the challenge of enriching the psychology of decision makers in economic models has been at the frontier of theoretical research in the last decade, there has been no graduate-level, theory-oriented textbook to cover developments in the last 10-15 years.

Through an effective blend of analysis and examples this text integrates the game theory revolution with the traditional understanding of imperfectly competitive markets.

As most economies remain caught in a global recession, that shows little sign of abatement, the importance of maintaining a flourishing industrial sector for the economic wellbeing of a country has rarely been so relevant. Industrial Organisation has long served as a basic introduction to this subject. The book is concerned with economic problems and policy issues that arise from the activities of firms. The authors reject the traditional micro-economic analysis of market structure in favour of studying conduct and performance in the context of macro-economic policy and the environment which this provides for firms. Substantially revised and updated to take account of developments in the subject since the publication of the last edition, Industrial Organization includes four new chapters which reflect the major new areas of interest in industrial economics over the last decade. These include the increasing importance of the service sector and problems of relatively low productivity growth within this, and questions relating to increased levels of international competition in a more open world economy. This is a comparative study, drawing on empirical evidence from the UK, USA and the EC. Mathematical and econometric requirements are kept to a minimum, and the text has long been regarded as the most accessible introduction to the subject.

This unique and original Dictionary presents a fully inclusive compilation of foundational concepts, models, methodologies, and applications in the field of industrial organization. It encompasses myriad facets of the topics, from its early days of conception through to modern theoretical and empirical methodologies. The Dictionary balances concise explanation with comprehensive coverage, incorporating concepts such as the structure-conduct-performance paradigm, the development of the theory of the firm, the foundational contributions of game theory and models of strategic interaction. More recent advances in organization theory and managerial economics are also included, as well as current advances in econometrics as applied to industrial organization, and applications to regulation and antitrust analysis. The Dictionary of Industrial Organization will prove an indispensable reference tool for anyone involved with industrial economics at any level, including academics, researchers, students, consultants and practitioners. Contents Introduction Dictionary of Industrial Organization

The Handbook of Behavioral Industrial Organization integrates behavioral economics into industrial organization. Chapters cover concepts such as relative thinking, salience, shrouded attributes, cognitive dissonance, motivated reasoning, confirmation bias, overconfidence, status quo bias, social cooperation and identity. Additional chapters consider industry issues, such as sports and gambling industries, neuroeconomic studies of brands and advertising, and behavioral antitrust law. The Handbook features a wide array of methods (literature surveys, experimental and econometric research, and theoretical modelling), facilitating accessibility to a wide audience.

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

This text rigorously blends theory with real-world applications to study the industrial organisation of the ICT sector. Each of the self-contained chapters, which can be studied in isolation, contains theoretical models that are presented in a clear an

(E-book available via MyiLibrary) In even the most market-oriented economies, most economic transactions occur not in markets but inside managed organizations, particularly business firms. Organizational economics seeks to understand the nature and workings of such organizations and their impact on economic performance. The Handbook of Organizational Economics surveys the major theories, evidence, and methods used in the field. It displays the breadth of topics in organizational economics, including the roles of individuals and groups in organizations, organizational structures and processes, the boundaries of the firm, contracts between and within firms, and more.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.