What is digital business reporting? Why do we need it? And how can we improve it? This book aims to address these questions by illustrating the rise of system-to-system information exchange and the opportunities for improving transparency and accountability. Governments around the world are looking for ways to strengthen transparency and accountability without introducing more red tape, which is a source of growing frustration and costs for businesses. In 2004, the Ministry of Finance and the Ministry of Justice in the Netherlands started to investigate the potential of XBRL (eXtensible Business Reporting Language) as a uniform data standard for business-to-government information exchange. In 2006, there was a comprehensive architecture for Standard Business Reporting (SBR), including the requirements for the information infrastructure. One year later the first reports in XBRL were successfully delivered to the Tax and Customs Administration and the Chamber of Commerce via a secure infrastructure. Today, millions of business reports are being exchanged using SBR. As a solution, SBR empowers organisations to present a cohesive explanation of their business operations and helps them engage with internal and external stakeholders, including regulators, shareholders and creditors. Challenging the chain describes the journey of SBR from challenge to solution. Specialists in the field – flanked by academics – provide detailed insights on the challenges actors faced and the solutions they achieved. In its versatility, this book exemplifies the necessary paradigm shifts when it comes to such large-scale public-private transformations. Policy makers, managers, IT specialists and architects looking to engage in such transformations will find guidance in this book.

The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas.The book is composed by 7 sections: UNCERTAINTYPREFERENCESCLASSIFICATION AND DATA MININGAGGREGATION AND MULTI-CRITERIA DECISION MAKINGKNOWLEDGE REPRESENTATION•The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. •The book can help to build brigs among theories and methods methods for the management of uncertainty. •The book addresses issues which have a position of centrality in our information-centric world. •The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). •The book contributes to the goal: an efficient use of the information for a good decision strategy.APPLIED DOMAINS· The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations.· The book can help to build brigs among theories and methods methods for the management of uncertainty.· The book addresses issues which have a position of centrality in our information-centric world.· The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization).· The book contributes to the goal: an efficient use of the information for a good decision strategy.

First published in 1998, revised in 2021, this volume develops and tests an information-processing model of organization, within the context of the accession of a new generation of a production technology. The model conceptualizes organizations as systems which accomplish their objectives through the processing of information. The book begins with the conceptual basis of the theory, developing the fundamental concepts of information, information processing, and technology. The accession of an automatic avionics tester during the 1970s and 1980s is the change in production technology used to test the theory. The theory is tested by mapping and analysing performance with a three-wave longitudinal field experiment and objective performance measures in the workflow of a very complex system, the U.S. Navy’s avionics maintenance organization. The information processing capacity of the system is shown to be the primary determinant of system performance, with or without the use of information technology. Additional support for the theory comes from newer test and information technologies deployed in the 1980s and 1990s. Implications of this theory for current generations of test technology are provided in the final chapters, along with further development of the theory and its general application to many types of organizations.