Here's a broad, integrated view of existing communications technologies available world-wide -- including the Internet and Web, digital mobile telephony, ISDN, SMDS, frame relay, and ATM -- from a practical business perspective. Covering both private and public networks, the book offers a basic explanation of a wide range of technologies and describes their underlying principles and features, as well as the factors that differentiate them. The guide also showcases typical applications, exposes inherent limitations, explains pricing and methods of comparison, and discusses security pitfalls and protection systems.

This is a compilation of papers presented at the Information System Concepts conference in Marburg, Germany. The special focus is consolidation and harmonisation of the numerous and widely diverging views in the field of information systems. This issue has become a hot topic, as many leading information system researchers and practitioners come to realise the importance of better communication among the members of the information systems community, and of a better scientific foundation of this rapidly evolving field.

Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing. To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis. Knowledge Discovery for Business Information Systems contains a collection of 16 high quality articles written by experts in the KDD and DM field from the following countries: Austria, Australia, Bulgaria, Canada, China (Hong Kong), Estonia, Denmark, Germany, Italy, Poland, Singapore and USA.

Data mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

Charged with ensuring the confidentiality, integrity, availability, and delivery of all forms of an entity's information, Information Assurance (IA) professionals require a fundamental understanding of a wide range of specializations, including digital forensics, fraud examination, systems engineering, security risk management, privacy, and compliance. Establishing this understanding and keeping it up to date requires a resource with coverage as diverse as the field it covers. Filling this need, the Encyclopedia of Information Assurance presents an up-to-date collection of peer-reviewed articles and references written by authorities in their fields. From risk management and privacy to auditing and compliance, the encyclopedia's four volumes provide comprehensive coverage of the key topics related to information assurance. This complete IA resource: Supplies the understanding needed to help prevent the misuse of sensitive information Explains how to maintain the integrity of critical systems Details effective tools, techniques, and methods for protecting personal and corporate data against the latest threats Provides valuable examples, case studies, and discussions on how to address common and emerging IA challenges Placing the wisdom of leading researchers and practitioners at your fingertips, this authoritative reference provides the knowledge and insight needed to avoid common pitfalls and stay one step ahead of evolving threats. Also Available OnlineThis Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

This book examines the requirements, risks, and solutions to improve the security and quality of complex cyber-physical systems (C-CPS), such as production systems, power plants, and airplanes, in order to ascertain whether it is possible to protect engineering organizations against cyber threats and to ensure engineering project quality. The book consists of three parts that logically build upon each other. Part I "Product Engineering of Complex Cyber-Physical Systems" discusses the structure and behavior of engineering organizations producing complex cyber-physical systems, providing insights into processes and engineering activities, and highlighting the requirements and border conditions for secure and high-quality engineering. Part II "Engineering Quality Improvement" addresses quality improvements with a focus on engineering data generation, exchange, aggregation, and use within an engineering organization, and the need for proper data modeling and engineering-result validation. Lastly, Part III "Engineering Security Improvement" considers security aspects concerning C-CPS engineering, including engineering organizations' security assessments and engineering data management, security concepts and technologies that may be leveraged to mitigate the manipulation of engineering data, as well as design and run-time aspects of secure complex cyber-physical systems. The book is intended for several target groups: it enables computer scientists to identify research issues related to the development of new methods, architectures, and technologies for improving quality and security in multi-disciplinary engineering, pushing forward the current state of the art. It also allows researchers involved in the engineering of C-CPS to gain a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in their future research and development activities. Lastly, it offers practicing engineers and managers with engineering backgrounds insights into the benefits and limitations of applicable methods, architectures, and technologies for selected use cases.

Innovation, agility, and coordination are paramount in the support of value in the global knowledge economy. Therefore, the long-term success of a company is increasingly dependent on its underlying resilience and agility. ""Knowledge Reuse and Agile Processes"" addresses flexibility of both business and information systems through component technology at the nexus of three seemingly unrelated disciplines: service-oriented architecture, knowledge management, and business process management. Providing practitioners and academicians with timely, compelling research on agile, adaptive processes and information systems, this premier reference source will enhance the collection of every reference library.

Like the first edition,Competing in the Information Age: Align in the Sand, Second Edition, synthesizes for practicing managers the compelling, recent work in this area, with themes that focus on the continuous transformation in business, the adoption of information intensive management practices, the improvement of information processing, and the alignment of business strategy and information technology strategy. Information technology management is now considered a core competency among managers. Rapid advancements in technology, dynamic markets, and the changing business environment have created increased demand for professionals who can manage and deliver information systems. Information systems professionalsChief Information Officers, Chief Knowledge Officers, as well as CFOs and CEOsare required to lead and evolve information resources while partnering with corporate management. This book shows IT professionals how to help their organizations achieve success through alignment and deployment of business and IT strategies.

There are two types of readers that will find this book useful: those who have an interest in the Metadatabase model as an integration technology, and those who also seek a general discussion on information system analysis and design. To this end, a general conceptual framework on enterprise integration and modeling is provided in the first chapter, and is used to tie together all of the remaining chapters of the book. The next two chapters present some basics and examples of systems analysis and design for enterprise modeling; which serve the purposes of general discussion on the subject as well as illustrating the modeling methods particular to the Metadatabase approach. The particular methods are discussed fully in Chapter 4. An overview of the Metadatabase Model is provided in Chapter 5 and illustrated with a paper demonstration' of a basic Metadatabase prototype in Chapter 6. The main technical elements of the model are presented in Chapters 7-9. The model is then applied to manufacturing in Chapter 10, where a core information model for implementing the Metadatabase approach to integration is also included. Chapter 11 extends the Metadatabase technology into the realm of information visualization. The new user interface model developed can be applied to integrate the traditional management of information in an enterprise with new cyberspace applications such as electronic commerce. The Metadatabase model of enterprise information integration (for multiple systems) has been developed at Rensselaer Polytechnic Institute under the sponsorships of Alcoa, Digital, GE, GM, and IBM (from 1986-1995 through the Computer-Integrated Manufacturing and the Adaptive Integrated ManufacturingEnterprises programs), the National Science Foundation (since 1991), Samsung (since 1995), and U.S. Army (since 1995). The technology is being developed into a product for Samsung and the Army. This is the first expository book on the topic.

This book analyses quantitative open source software (OSS) reliability assessment and its applications, focusing on three major topic areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment; the Practical Applications of OSS Reliability Modelling; and Recent Developments in OSS Reliability Modelling. Offering an ideal reference guide for graduate students and researchers in reliability for open source software (OSS) and modelling, the book introduces several methods of reliability assessment for OSS including component-oriented reliability analysis based on analytic hierarchy process (AHP), analytic network process (ANP), and non-homogeneous Poisson process (NHPP) models, the stochastic differential equation models and hazard rate models. These measurement and management technologies are essential to producing and maintaining quality/reliable systems using OSS.

As the global economy turns more and more service oriented, Information Technology-Enabled Services (ITeS) require greater understanding. Increasing numbers and varieties of services are provided through IT. Furthermore, IT enables the creation of new services in diverse fields previously untouched. Because of the catalyzing nature of internet technology, ITeS today has become more than "Outsourcing" of services. This book illustrates the enabling nature of ITeS with its entailment of IT, thus contributing to the betterment of humanity. The scope of this book is not only for academia but also for business persons, government practitioners and readers from daily lives. Authors from a variety of nations and regions with various backgrounds provide insightful theories, research, findings and practices in various fields such as commerce, finance, medical services, government and education. This book opens up a new horizon with the application of Internet-based practices in business, government and in daily lives. Information Technology-Enabled Services works as a navigator for those who sail to the new horizon of service oriented economies.

This book examines how fuzzy methods can be employed to manage service levels in business and IT alignment. It starts by mapping the dependencies of service level agreements, coming up with gradual and bi-polar concepts to eventually classify the level of coupling by intuitionistic fuzzy sets. The second part presents an approach to analyze the impact of service failures using intuitionistic fuzzy methods (IFSFIA). Lastly, the third part of the book extends the concept towards business and IT-aligned service-level engineering and provides two use cases.

This book draws new attention to domain-specific conceptual modeling by presenting the work of thought leaders who have designed and deployed specific modeling methods. It provides hands-on guidance on how to build models in a particular domain, such as requirements engineering, business process modeling or enterprise architecture. In addition to these results, it also puts forward ideas for future developments. All this is enriched with exercises, case studies, detailed references and further related information. All domain-specific methods described in this volume also have a tool implementation within the OMiLAB Collaborative Environment - a dedicated research and experimentation space for modeling method engineering at the University of Vienna, Austria - making these advances accessible to a wider community of further developers and users. The collection of works presented here will benefit experts and practitioners from academia and industry alike, including members of the conceptual modeling community as well as lecturers and students.

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning their businesses. The resulting product, an enterprise model, is commonly used as a blueprint for reconstructing organizations and such effort is often a part of business process re-engineering and improvement initiatives.

Automating Business Modelling describes different techniques of providing automated support for enterprise modelling methods and introduces universally used approaches. A running example of a business modelling method is included; providing a framework and detailed explanation as to how to construct automated support for modelling, allowing readers to follow the method to create similar support.

Suitable for senior undergraduates and postgraduates of Business Studies, Computer Science and Artificial Intelligence, practitioners in the fields of Knowledge Management, Enterprise Modelling and Software Engineering, this book offers insight and know-how to both student and professional.

Der Sammelband vereinigt Beitrage von uber 50 Autorinnen und Autoren aus Wirtschaftswissenschaft, Informatik und Mathematik zu aktuellen und grund--legenden Problemen und Losungsansatzen der intelligenten Entscheidungs--unterstutzung in Unternehmen und erscheint zum 65. Geburtstag von Hermann Gehring, Professor fur Wirtschaftsinformatik an der FernUniversitat in Hagen.

This is a selection of papers representing the best thinking of leading researchers and practitioners in the field of management of technology. Based on a conference on growth through business innovation and entrepreneurship, it addresses a wide range of starting points for technology and innovation managers on how to develop and commercialize new technologies. The book is structured along three themes: entrepreneurship and venture creation; knowledge management; and multi-actor innovation. The first theme essentially deals with entrepreneurial energy, the conditions for its appearance and its success. It focuses mostly on entrepreneurs in innovation, start-ups and venturing activities. The second theme is composed of articles addressing various issues of knowledge and know-how management - the role that information and technologies play to facilitate and create new business opportunities. The third theme discusses the trend towards a multi-actor innovation process, according to which developments are carried out by several organizations, firms or otherwise, each contributing a piece of the innovation puzzle. The concentration is on three areas: the actual implementation of collaborative developments, involving various types of partners; supply and demand chains; and the interplay between technology and its societal context.

Digitalizing Sustainability outlines why 'business as usual' isn't working and sets out five Transformational Forces which can be used to innovate and scale sustainability solutions using digital means. This transformation will be powered by a range of digital technologies that have the potential to ideate, propel and scale sustainability solutions in an exponential manner over the next decade. This book introduces the Five Forces of Digital Transformation. These forces all share a common root - they are powered by digital technologies that enable them to operate at the speed and scale that we need to achieve global transformation for people and planet. Working together, these forces help overcome many of the barriers and pitfalls that humanity has faced in trying to achieve sustainability 2.0.and will help you tackle these questions: Why has sustainability 1.0 failed us? What are the bugs and bad code in our operating systems that we must address to have any hope at creating a sustainable civilization? What are the Five Forces of Digital Transformation that will forge a sustainable and resilient future for our people and planet? What are the core priorities going forward for coalitions of the willing to harness these forces for sustainability and resilience? Disruptive and innovative, this book provides readers with a clear path forward to a sustainable digital future. It will be of great interest to anyone interested in the adoption of digital technologies for driving solutions to global sustainability challenges.

This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system's life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering 'good' and 'bad' practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.

Overcome math anxiety and confidently master key mathematical concepts and their business applications with Brechner's CONTEMPORARY MATHEMATICS FOR BUSINESS AND CONSUMERS, 6th Edition, International Edition. This book's unique modular approach invites readers into a successful, interactive learning experience with numerous real business examples and integrated CengageNOW with MathCue (TM) learning technology. Step-by-step instructions, worked-out problems, and engaging learning features help readers progress one topic at a time without being intimidated or overwhelmed. Thousands of exercises offer practice with Excel (R), common business scenarios, and calculators. The accompanying MathCue tutorial software provides additional step-by-step solutions for more than 15,000 questions to further ensure targeted assistance in areas where readers may struggle. The CONTEMPORARY MATHEMATICS FOR BUSINESS AND CONSUMERS, 6th Edition, International Edition text and software provide the support and confidence for success in business math today.

Information technology has had a major impact on individuals, organizations and society over the past 50 years. There are few organizations that can afford to ignore IT and few individuals who would prefer to be without it. As managerial tasks become more complex, so the nature of the required information systems (IS) changes - from structured, routine support to ad hoc, complex enquiries at the highest levels of management. Global Information Systems aims to present the many complex and inter-related issues associated with culture in the management of information systems.
The editors have selected a wide range of contemporary articles from leading experts in North America and Europe that represent a wide variety of different national and cultural environments. They offer valid explanations for, rather than simply pointing out cultural differences in articles that cover a variety of national cultures, including: China, Egypt, Finland, Hong Kong, Hungary, India, Jamaica, Peru South Korea, Kuwait, Mexico, Singapore, Sweden, the United Arab Emirate, the UK, and the US.
* Provides students with insight into managing global firms and IT workforce
* Contributions are carefully selected from universities of world renown and is supported by helpful introductions for each paper
* Reflects current trends and debates around Global IS

Everyone in an organization, from cleaner to CEO, has expert knowledge. Yet only a fraction of it can be codified and expressed explicitly as facts and rules. A little more is visible implicitly as accepted procedures, but even this is only the beginning. Submerged beneath the explicit and implicit levels is a vast iceberg of tacit knowledge that cannot be reliably accessed by traditional analytical approaches. And yet, without it, organizational learning means little.

Interweaving theory with practical guidance, this book looks at the importance of tacit knowledge and shows how it is now being put in motion through groundbreaking analogical thinking methods. Chief among these is the Dialogue Seminar, developed by the editors, in which learning is seen as arising from encounters with differences.

There can be no consensus on the value of corporate knowledge until what is meant by that knowledge is discussed and defined. Based on two decades of research and a host of practical cases, this book offers a way forward.

"Goranzon argues that the question of whether machines can think is not the right question to ask. The more important question, he believes, is the impact of automation on work and human skills, and he is looking for a way of describing skills that allows us to discuss this question."
--Janet Vaux, "New Scientist"

"A Swedish initiave to rethink the relationship between learning and work."
--Rolf Hughes, "The Times Higher Education"

The authors present a number of financial market studies that have as their general theme, the econometric testing of the underlying econometric assumptions of a number of financial models. More than 30 years of financial market research has convinced the authors that not enough attention has been paid to whether the estimated model is appropriate or, most importantly, whether the estimation technique is suitable for the problem under study. For many years linear models have been assumed with little or no testing of alternative specification. The result has been models that force linearity assumptions on what clearly are nonlinear processes. Another major assumption of much financial research constrains the coefficients to be stable over time. This critical assumption has been attacked by Lucas (1976) on the grounds that when economic policy changes, the coefficients of macroeconomics models change. If this occurs, any policy forecasts of these models will be flawed. In financial modeling, omitted (possibly non-quantifiable) variables will bias coefficients. While it may be possible to model some financial variables for extended periods, in other periods the underlying models may either exhibit nonlinearity or show changes in linear models. The authors research indicates that tests for changes in linear models, such as recursive residual analysis, or tests for episodic nonlinearity can be used to signal changes in the underlying structure of the market.

The book begins with a brief review of basic linear time series techniques that include autoregressive integrated moving average models (ARIMA), vector autoregressive models (VAR), and models form the ARCH/GARCH class. While the ARIMA and VAR approach models the first moment of a series, models of the ARCH/GARCH class model both the first moment and second moment which is interpreted as conditional or explained volatility of a series. Recent work on nonlinearity detection has questioned the appropriateness of these essentially linear approaches. A number of such tests are shown and applied for the complete series and a subsets of the series. A major finding is that the structure of the series may change over time. Within the time frame of a study, there may be periods of episodic nonlinearity, episodic ARCH and episodic nonstationarity. Measures are developed to measure and relate these events both geographically and with mathematical models. This book will be of interest to applied finance researchers and to market participants.

Whilst Information Systems has the potential to widen our view of the world, it often has the opposite effect by limiting our ability to interact, facilitating managerial and state surveillance or instituting strict hierarchies and personal control. In this book, Bernd Stahl offers an alternative and critical perspective on the subject, arguing that the ongoing problems in this area could be caused by the misconceptualization of the nature and role of IS. Stahl discusses the question of how IS can be used to actually overcome oppression and promote emancipation, breaking the book into four sections. The first section covers the theory of critical research in IS, giving a central place for the subject of ethics. The second section discusses the philosophical underpinnings of this critical research. The third and largest section gives examples of the application of critical work in IS. The final section then reflects on the approach and suggests ways for further development.

The globalization of everyday business and increasing international trade lead to a growing need to improve national and international business collaborations and transactions. Upcoming new technologies for e-business transactions allow for new ways of process, information and application integration. But business partners almost always have different ways to systemize the information needed to run the business, in terms of information structure, syntax and semantics. Consequences are mismatch and misunderstanding in electronic transactions. This book shows what ontology management can do for process, information and application integration under dynamic e-business conditions. We not only discuss research results and develop novel methods and frameworks, but also apply them to build business use application components that are deployed as web services.