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This book presents a collection of original research papers focusing on the enabling aspects of Information and Communication Technologies. In particular, it focuses on the two topics of digital platforms and digital artefacts, and discusses their role in enabling organizations to achieve specific goals, to exploit innovative value propositions, or to leverage innovative coordination mechanisms. Adopting a multidisciplinary perspective on a variety of information systems topics, the book offers interesting insights for IS managers, business managers, and policymakers alike. It is based on a selection of the best research papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS, held in Genoa (Italy) in November 2014.
Information and communication technologies (ICTs) create potentials for considerable productivity gains and for higher economic growth. However, ICTs also pose varied challenges to firms in order to benefit from these potentials. Highlighting the importance of innovations, firm-sponsored training, and recruitment of high-skilled workers, this monograph analyses why and to what extent firms differ in their capabilities to make ICT work productively. The work also comprises a detailed discussion of economic theory concerning ICT use and complementary firm strategies. In addition it provides a comprehensive treatment of various methodological issues concerning the measurement of firm-level productivity in econometric analyses.
Standards play crucial roles in many different aspects of today’s economy. They can define meanings of semantics, product interfaces, process steps, or performance levels. Interorganisational standards are specifications that define business-related semantics and processes, which are made accessible to other organisations’ information systems. While modular organisation forms such as supply chain networks demand such standards for higher flexibility, XML-based Web Services offer a relatively new technological platform to develop such standards. The development of comprehensive interorganisational standards, however, is far from being completed. This book thus answers the questions, how interorganisational standards are developed and how different actors should get involved in it. The author uses actor-network theory to conduct two in-depth case studies on ebXML and RosettaNet. While researchers will find new explanations for the development of interorganisational standards, managers and executives will benefit from the strategic implications this book discusses.
The book applies the principles and insights of Fuzzy Logic to the complexity of social life. It draws on the full range of the social sciences, including some of the most up-to-date work on the escalating complexities of post modern life, e.g. new information technologies in a global world, new forms of consciousness and identity, new relationships between humans, machines, nature and environment. The volume is interdisciplinary, combining expertise from Fuzzy Logic and the Postmodern Social Sciences, synthesising and applying concepts and methods of Fuzzy Logic in innovative ways to the world of social life. It gives readers from the social sciences a comprehensive, exciting and practical guide for applying Fuzzy Logic, while bringing a rich body of social problems and concepts on to the agenda for researchers in Fuzzy Logic and related fields.
Emissions trading (ET) challenges business managers in an entirely new manner, changing the criteria by which environmental policy steers management decisions from hierarchical to monetary. The 24 contributions to this volume discuss ET theoretically and empirically in these broad topic areas: 1) Institutional design, decision making and innovation; 2) Investment and management strategies; 3) ET and business administration and 4) Effects of existing and emerging ET schemes.
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsb...
Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researcher...
The book answers a simple question: when managers and companies face a decision with two outcomes that are safe and risky, what leads them to choose the risky alternative? The answer starts with a detailed review of the theory behind risk and decision making by managers. The book then gathers real-world evidence using two surveys of senior managers and directors to analyze why they take risks, and how companies control risks.
This book studies the determinants of cluster survival by analyzing their adaptability to change in the economic environment. Linking theoretic knowledge with empirical observations, a simulation model (based in the N/K method) is developed, which explains when and why the cluster's architecture assists or hampers adaptability. It is found that architectures with intermediate degrees of division of labor and more collective governance forms foster adaptability.