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Economic players must often choose between several strategic options in a fierce competitive environment where interactions with competitors make decisions particularly complex. Game theory offers useful insights to choose an optimal decision or at least a basis for making rational decision given the constraints of the stakeholders' environment. In presenting the concepts and the logical structure of the reasoning offered by game theory and their applications, the book explains the rational process of decision making in the framework of firm management and market competition. By avoiding the usual complexity of presentation often due to mathematical formalism, the book proposes a reflection and practical insights of game theory for practitioners (managers, strategists) and social, managerial and economic researchers. The book will expose both general teachings and a comprehensive analysis applied to specific case studies of various sectors of the economy.
A new paradigm for balancing flexibility and commitment in management strategy through the amalgamation of real options and game theory. Corporate managers who face both strategic uncertainty and market uncertainty confront a classic trade-off between commitment and flexibility. They can stake a claim by making a large capital investment today, influencing their rivals' behavior, or they can take a “wait and see” approach to avoid adverse market consequences tomorrow. In Competitive Strategy, Benoît Chevalier-Roignant and Lenos Trigeorgis describe an emerging paradigm that can quantify and balance commitment and flexibility, “option games,” by which the decision-making approaches of real options and game theory can be combined. The authors first discuss prerequisite concepts and tools from basic game theory, industrial organization, and real options analysis, and then present the new approach in discrete time and later in continuous time. Their presentation of continuous-time option games is the first systematic coverage of the topic and fills a significant gap in the existing literature. Competitive Strategy provides a rigorous yet pragmatic and intuitive approach to strategy formulation. It synthesizes research in the areas of strategy, economics, and finance in a way that is accessible to readers not necessarily expert in the various fields involved.
This book explores two combined approaches (strategy and accounting) from a cross-disciplinary perspective in order to improve knowledge of value creation in various contexts. Existing studies on this topic have generally adopted a purely account-based or strategy-oriented approach to address this issue. However, this book draws upon a number of well-defined theoretical and empirical backgrounds and methodologies. Since the 1980s, many changes have occurred and companies have increasingly focused their strategies on value creation. Consequently, new strategic directions have emerged, especially for managerial accounting. Management accounting and alignment with strategy could thus improve performance. This book encourages further thought and reflection on these issues which should be pursued in the future as firms face new challenges associated with the acceleration of digital transformation.
Internationalization is a strategic issue for companies as it is today the central axis for the development of small and medium-sized enterprises (SMEs). Market expansion and the growing importance of emerging markets offer new development opportunities for SMEs to use innovative strategies - such as head-deck strategies - to effectively penetrate these markets. This book focuses on understanding these new strategies. Why do SMEs use head-of-bridge strategies in order to internationalize? How do they deploy such strategies abroad? Based on the example of five manufacturing SMEs, which are at different stages of internationalization, this book highlights the main motivations, stages of deployment but also difficulties encountered in this direction. This book is a tool for assessing potential locations and provide managers with a new alternative in terms of internationalization, enabling rapid identification of key stakeholders, adapting their international development plan and anticipating potential pitfalls.
In macro-, meso- and micro-economic systems, the concept of innovation involves a variety of resources and functions. It includes all formal and informal institutions, networks and actors that influence innovation and act as innovation boosters within companies, at the territorial level, at the level of innovation networks or in national economies. This book deals with innovation in a globalized context in terms of the entrepreneur, enterprise, territorial and sectoral systems and national systems of innovation in which collective innovation processes are formed.
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.
Pertinent to modern industry, administration, finance and society, the most pressing issue for firms today is how to reapproach the way we think and work in business. With topics ranging from improving productivity and coaxing economic growth after periods of market inactivity, Complex Decision-Making in Economy and Finance offers pragmatic solutions for dealing with the critical levels of disorder and chaos that have developed throughout the modern age. This book examines how to design complex products and systems, the benefits of collective intelligence and self-organization, and the best methods for handling risks in problematic environments. It also analyzes crises and how to manage them. This book is of benefit to companies and public bodies with regards to saving assets, reviving fortunes and laying the groundwork for robust, sustainable societal dividends. Examples, case studies, practical hints and guidelines illustrate the topics, particularly in finance.
The purpose of this book is to draw up a picture of the transformations in the innovation systems induced by globalization - or globalization. We understand the latter as the existence of new macroeconomic solidarities. These are attested since about the middle of the 1980s, with the observation of a tripolar world drawn up by Kenichi Ohmae. The book intends to explain all theories of globalization, as well as to clarify its relations with innovation. It constitutes an unprecedented synthesis on this theme, illustrated by examples from many sectors of activity.
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.