Ein Buch fur Unternehmen, die vor der Entscheidung stehen: Outsourcing ja oder nein. Welche Grunde sind es, die immer mehr Unternehmen dazu veranlassen, ihr EDV-System aus dem eigenen Unternehmen auszugliedern und einem unabhangigen Servicegeber zu ubertragen? Die Autoren gehen ausserdem auf folgende Fragen ein: Welches sind die Vor- und Nachteile des Outsourcings, welche Risiken birgt es? Wie geht der Prozess des Outsourcings vor sich? Welche Punkte mussen bei der Umsetzung berucksichtigt werden - bei der ersten Kontaktaufnahme, der Ausarbeitung eines Angebots, der Vertragserstellung bis hin zur technischen Planung und Implementierung? Ein Buch, das all diese Fragen kurz und bundig beantwortet und deshalb die Bezeichnung "praktischer Leitfaden" voll und ganz verdient."

Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world's premier official statistics agencies. The book next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a wide variety of fields, including risk management and genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas, including difficult-to-access populations, endangered species, climate change, and agricultural forecasts. About the SSCFounded in Montreal in 1972, the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More information can be found at www.ssc.ca.

Enterprise 2.0 (E 2.0) has caught the collective imagination of executives who are innovating to radically change the face of business. E 2.0 takes full benefit of social networking, including blogs, discussion boards, mashups, and all that is sharable and combinable. Examining organizations and their social activities, Enterprise 2.0: Social Networking Tools to Transform Your Organization considers the complete spectrum of social media and social activities available to your business. It not only offers a hands-on, practical assessment of "what to do," but also "how to do it." Demonstrating how to utilize social networking within diverse functional areas, the book: Describes the functions of social networking in the context of today's enterprise Details how to make the best use of blogs, discussion boards, and workspaces in an organizational setting Supplies a complete discussion on how to prepare staff for social enterprising Explains how to measure and manage social networking This book includes discussions of social networking in enterprise activities such as human resources, risk management, operations, and project management. It describes the utility and role of social networking on a department by department basis, explains how to integrate social enterprising with knowledge management, and supplies helpful insights into legal, performance, and measurement issues. Touching on key security and privacy issues, the book clearly illustrates how social networking and E 2.0 can help improve risk management in your organization.

In der Systembiologie wird untersucht, wie die Komponenten einer Zelle oder eines Organismus Interaktionsnetzwerke bilden und wie diese Zellfunktionen hervorrufen. Das Buch bietet einen Einstieg in die Systembiologie aus der Perspektive der Informatik. Die Autorin stellt die biologischen Grundlagen dar und fuhrt ihre Leser schrittweise von den anfallenden Daten uber die zur Verfugung stehenden Datenbanken und deren Integrationsmoglichkeiten hin zu verschiedenen Modellierungsansatzen. Der Band enthalt zahlreiche Hinweise zu weiterfuhrender Literatur."

Focuses on how to use web service computing and service-based workflow technologies to develop timely, effective workflows for both business and scientific fields

Utilizing web computing and Service-Oriented Architecture (SOA), "Business and Scientific Workflows: A Web Service-Oriented Approach" focuses on how to design, analyze, and deploy web service-based workflows for both business and scientific applications in many areas of healthcare and biomedicine. It also discusses and presents the recent research and development results.

This informative reference features application scenarios that include healthcare and biomedical applications, such as personalized healthcare processing, DNA sequence data processing, and electrocardiogram wave analysis, and presents: Updated research and development results on the composition technologies of web services for ever-sophisticated service requirements from various users and communitiesFundamental methods such as Petri nets and social network analysis to advance the theory and applications of workflow design and web service compositionPractical and real applications of the developed theory and methods for such platforms as personalized healthcare and Biomedical Informatics GridsThe authors' efforts on advancing service composition methods for both business and scientific software systems, with theoretical and empirical contributions

With workflow-driven service composition and reuse being a hot topic in both academia and industry, this book is ideal for researchers, engineers, scientists, professionals, and students who work on service computing, software engineering, business and scientific workflow management, the internet, and management information systems (MIS).

The complete step-by-step guide to mastering the basics of Aspen Plus software Used for a wide variety of important scientific tasks, Aspen Plus software is a modeling tool used for conceptual design, optimization, and performance monitoring of chemical processes. After more than twenty years, it remains one of the most popular and powerful chemical engineering programs used both industrially and academically. Teach Yourself the Basics of Aspen Plus, Second Edition continues to deliver important fundamentals on using Aspen Plus software. The new edition focuses on the newest version of Aspen Plus and covers the newest functionalities. Lecture-style chapters set the tone for maximizing the learning experience by presenting material in a manner that emulates an actual workshop classroom environment. Important points are emphasized through encouragement of hands-on learning techniques that direct learners toward achievement in creating effective designs fluidly and with confidence. Teach Yourself the Basics of Aspen Plus, Second Edition includes: * Examples embedded within the text to focus the reader on specific aspects of the material being covered * Workshops at the end of each chapter that provide opportunities to test the reader's knowledge in that chapter's subject matter * Functionalities covered in the newest version of Aspen including the solution of a flowsheet by an equation oriented, EO approach, and the solution of problems which involve electrolyte equilibria * Aspen Plus executable format as well as .txt format files containing details of the examples and the workshops as well as their solutions are provided as a download Designed with both students and professionals in mind, Teach Yourself the Basics of Aspen Plus, Second Edition is like having a personal professor 24/7. Its revolutionary format is an exciting way to learn how to operate this highly sophisticated software and a surefire way for readers to get the results they expect. Ralph Schefflan has been an adjunct professor at Stevens Institute of Technology for the past thirty-five years. He has taught four graduate courses, thermodynamics, process simulation, numerical methods, and equilibrium stage operations during his time there as well as being SIT's representative to Aspen Technology. Dr. Schefflan introduced process simulation at SIT evolving from Flowtran to Aspen Plus and taught it for thirty years.

Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source. With more than 60 practical recipes, this cookbook helps you solve these issues with Knative--the first serverless platform natively designed for Kubernetes. Each recipe contains detailed examples and exercises, along with a discussion of how and why it works. If you have a good understanding of serverless computing and Kubernetes core resources such as deployment, services, routes, and replicas, the recipes in this cookbook show you how to apply Knative in real enterprise application development. Authors Kamesh Sampath and Burr Sutter include chapters on autoscaling, build and eventing, observability, Knative on OpenShift, and more. With this cookbook, you'll learn how to: Efficiently build, deploy, and manage modern serverless workloads Apply Knative in real enterprise scenarios, including advanced eventing Monitor your Knative serverless applications effectively Integrate Knative with CI/CD principles, such as using pipelines for faster, more successful production deployments Deploy a rich ecosystem of enterprise integration patterns and connectors in Apache Camel K as Kubernetes and Knative components

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.

Sharpening Your Advanced SAS (R) Skills presents sophisticated SAS programming techniques, procedures, and tools, such as Proc SQL, hash tables, and SAS Macro programming, for any industry. Drawing on his more than 20 years' experience of SAS programming in the pharmaceutical industry, the author provides a unique approach that empowers both advanced programmers who need a quick refresher and programmers interested in learning new techniques. The book helps you easily search for key points by summarizing and differentiating the syntax between similar SAS statements and options. Each chapter begins with an overview so you can quickly locate the detailed examples and syntax. The basic syntax, expected data, and descriptions are organized in summary tables to facilitate better memory recall. General rules list common points about similar statements or options. Real-world examples of SAS programs and code statements are line numbered with references, such as SAS papers and websites, for more detailed explanations. The text also includes end-of-chapter questions to reinforce your knowledge of the topics and prepare you for the advanced SAS certification exam. In addition, the author's website offers mindmaps and process flowcharts that connect concepts and relationships.

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

Innerhalb des Gesundheitswesen spielt der Krankenhausbereich eine zentrale Rolle. Hier hat sich in den letzten Jahren ein tiefgreifender Wandel vollzogen. Im dem Buch zeigen fuhrende Praktiker und Wissenschaftler, wie eine zukunftsorientierte Vorgehensweise in wichtigen Fragen wie IT-Losungen, Outsourcing-Strategien, horizontale Privatisierungen als Kooperationsform sowie beim Change Management aussehen konnte. Das Buch vermittelt so fur Verwaltung und Mediziner ein breites Know-how uber wichtige Bereiche des modernen Krankenhausmanagements."

Data as a Service shows how organizations can leverage data as a service by providing real-life case studies on the various and innovative architectures and related patterns * Comprehensive approach to introducing data as a service in any organization * A reusable and flexible SOA based architecture framework * Roadmap to introduce big data as a service for potential clients * Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions

Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not only gives a clear explanation of the underlying concepts but also demonstrates the application of bootstrapping using Python and Stata.

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the 'What', 'How', and 'Why' of Big Data. Features Identifies the primary drivers of Big Data Walks readers through the theory, methods and technology of Big Data Explains how to handle the 4 V's of Big Data in order to extract value for better business decision making Shows how and why data connectors are critical and necessary for Agile text analytics Includes in-depth tutorials to perform necessary set-ups, installation, configuration and execution of important tasks Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases

Poorly performing enterprise applications are the weakest links in a corporation's management chain, causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of these models will help to discover and clarify unapparent connections and correlations among workloads, hardware architecture, and software parameters.

Use Kanban to maximize efficiency, predictability, quality, and value With Kanban, every minute you spend on a software project can add value for customers. One book can help you achieve this goal: Agile Project Management with Kanban. Author Eric Brechner pioneered Kanban within the Xbox engineering team at Microsoft. Now he shows you exactly how to make it work for your team. Think of this book as "Kanban in a box": open it, read the quickstart guide, and you're up and running fast. As you gain experience, Brechner reveals powerful techniques for right-sizing teams, estimating, meeting deadlines, deploying components and services, adapting or evolving from Scrum or traditional Waterfall, and more. For every step of your journey, you'll find pragmatic advice, useful checklists, and actionable lessons. This truly is "Kanban in a box": all you need to deliver breakthrough value and quality. Use Kanban techniques to: Start delivering continuous value with your current team and project Master five quick steps for completing work backlogs Plan and staff new projects more effectively Minimize work in progress and quickly adjust to change Eliminate artificial meetings and prolonged stabilization Improve and enhance customer engagement Visualize workflow and fix revealed bottlenecks Drive quality upstream Integrate Kanban into large projects Optimize sustained engineering (contributed by James Waletzky) Expand Kanban beyond software development

The updated guide to the newest graphing calculator from Texas Instruments

The TI-Nspire graphing calculator is popular among high school and college students as a valuable tool for calculus, AP calculus, and college-level algebra courses. Its use is allowed on the major college entrance exams. This book is a nuts-and-bolts guide to working with the TI-Nspire, providing everything you need to get up and running and helping you get the most out of this high-powered math tool.Texas Instruments' TI-Nspire graphing calculator is perfect for high school and college students in advanced algebra and calculus classes as well as students taking the SAT, PSAT, and ACT examsThis fully updated guide covers all enhancements to the TI-Nspire, including the touchpad and the updated software that can be purchased along with the deviceShows how to get maximum value from this versatile math tool

With updated screenshots and examples, "TI-Nspire For Dummies" provides practical, hands-on instruction to help students make the most of this revolutionary graphing calculator.

"Industrial Statistics with MINITAB" demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented.

"Industrial Statistics with MINITAB" Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry.Explores statistical techniques and how they can be used effectively with the help of MINITAB 16.Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge.Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. Is supported by an accompanying website featuring case studies and the corresponding datasets.

Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.

Das Buch beschreibt die Potenziale zwischenbetrieblicher Kooperationen in Logistiknetzwerken sowie den unternehmensubergreifenden Einsatz von mySAP.com-Losungen. Im Mittelpunkt stehen Anwendungen aus den Bereichen XML/EDI, Data Warehouse, Supply-Chain-Management und Elektronische Marktplatze. Anhand von funf Fallstudien aus der Automobilindustrie wird der Praxiseinsatz von mySAP.com-Losungen demonstriert. Bei den Anwendern handelt es sich um die Unternehmen Bosch GmbH, Goodyear Tire & Rubber Company, Schenker AG, Porsche AG sowie den Elektronischen Marktplatz SupplyOn.
Die vorliegende zweite Auflage wurde vollig uberarbeitet, um den aktuellen Herausforderungen an den Aufbau von Kooperationen sowohl aus Management- als auch aus Softwareperspektive Rechnung zu tragen. Dazu wurde zum einen das Autorenteam erweitert und zum anderen der Fallstudienteil der ersten Auflage ausgebaut."

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

Mobile Commerce ist die Nutzung mobiler Technologie, um bestehende Geschaftsprozesse zu verbessern und zu erweitern, oder um neue Geschaftsfelder zu erschliessen. Unternehmen, die in der "Wireless Economy" erfolgreich bestehen wollen, mussen sich umfassend mit den wettbewerbsstrategischen Rahmenbedingungen des Mobile Commerce auseinandersetzen. Die vorliegende Publikation beschreibt den dynamischen Markt des Mobile Commerce und zeigt wichtige Erfolgsfaktoren im derzeitigen Wettbewerb auf. Das Hauptaugenmerk richtet sich auf die strategische Bedeutung der eingesetzten Technologien und Produktportfolios. Eine Vielzahl von Fallbeispielen macht das Buch fur den Praktiker zu einem wertvollen Kompendium. Es richtet sich vor allem an Entscheidungstrager der Telekommunikationsbranche und anderer Unternehmen mit hohem Kommunikationsaufkommen."

From the Foreword: "Dietmar Hildenbrand's new book, Introduction to Geometric Algebra Computing, in my view, fills an important gap in Clifford's geometric algebra literature...I can only congratulate the author for the daring simplicity of his novel educational approach taken in this book, consequently combined with hands on computer based exploration. Without noticing, the active reader will thus educate himself in elementary geometric algebra algorithm development, geometrically intuitive, highly comprehensible, and fully optimized." --Eckhard Hitzer, International Christian University, Tokyo, Japan Geometric Algebra is a very powerful mathematical system for an easy and intuitive treatment of geometry, but the community working with it is still very small. The main goal of this book is to close this gap with an introduction to Geometric Algebra from an engineering/computing perspective. This book is intended to give a rapid introduction to computing with Geometric Algebra and its power for geometric modeling. From the geometric objects point of view, it focuses on the most basic ones, namely points, lines and circles. This algebra is called Compass Ruler Algebra, since it is comparable to working with a compass and ruler. The book explores how to compute with these geometric objects, and their geometric operations and transformations, in a very intuitive way. The book follows a top-down approach, and while it focuses on 2D, it is also easily expandable to 3D computations. Algebra in engineering applications such as computer graphics, computer vision and robotics are also covered.

Emphasizing that it's much easier and more cost effective to make changes in the planning phases of a project rather than later on, Project Management Tools and Techniques for Success provides an accessible introduction to project management fundamentals. Highlighting approaches for avoiding common pitfalls, it begins with an introduction to project management that compares and contrasts the stages of poor management with those of effective management. Because change is inherent in virtually all projects, the text outlines the human effects of change and suggests ways to mitigate these effects. It addresses team dynamics, sourcing alternatives, motivating the team, managing expectations, assessing risk, and defining and prioritizing project requirements. The book translates difficult concepts into practical applications with a case study that examines the merger of two companies, along with the subsequent development of a new corporate headquarters. By adding a layer of statistical methods and tools to the front-end of a project, Design for Six Sigma (DFSS) augments standard Six Sigma processes to help ensure project results meet customers' needs and that delays caused by new requirements or rework after implementation are eliminated or reduced. The book explains how to effectively incorporate DFSS tools to reduce the possibility of failure in your next project. Clearly illustrating effective project management practices, the book includes a listing of commonly used acronyms, suggestions for additional reading, along with instructions on how to create four of the most important tools discussed in the book.

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts:(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.(c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.

Kann man mit E-Government die Verwaltung optimieren? Eine empirische Studie zur Prozessorientierung von E-Government-Initiativen auf Bundes- und Landesebene steht im Mittelpunkt des Buches. Sie zeigt, dass der Nutzen von E-Government-LAsungen entscheidend davon abhAngt, inwiefern die bestehenden VerwaltungsablAufe verbessert werden kAnnen. Obwohl diese Erkenntnis von der Mehrheit der befragten EntscheidungstrAger unterstA1/4tzt wird, ist das Thema Prozessoptimierung in vielen laufenden E-Government-Projekten noch nicht strukturiert umgesetzt. Vielfach dominiert noch die Technikeuphorie.

Neben einer Bestandsaufnahme der laufenden E-Government-Initiativen in Deutschland bietet das Buch ausfA1/4hrliche Empfehlungen, wie ein systematisches Prozessmanagement in die E-Government-Programme der Affentlichen Verwaltung integriert werden kann. Fazit: Kein E-Government-Erfolg ohne ProzessverAnderung