Macrologistics Management defines the term "Macrologistics" as a means for designing a catalyst for change in any organization. The "macro" approach means seeing the big picture-to use time and place strategies for competitive advantage. It is a "breakthrough" strategy because it prioritizes "logistics" selection as a key factor in developing customer satisfaction and market penetration. Traditional management approaches the product and cost savings as key factors in their strategy. This book demonstrates how new approaches can be even more effective and more profitable-it will help you achieve complete transformation in your organization through a systematic process for managing change and by using carefully prioritized change management strategies. The framework for change, as explained in this book, is one where continuous monitoring is facilitated by a relevant and responsive information system, workers and managers are empowered and rewarded for innovation, and leaders encourage a passion for change. With Macrologistics Management you will learn how to unleash new sources of synergy-ways for various groups involved with the organization to work together-that help promote creativity and motivate an effective and rapid revolution in your workplace!

While many Web 2.0-inspired approaches to semantic content authoring do acknowledge motivation and incentives as the main drivers of user involvement, the amount of useful human contributions actually available will always remain a scarce resource. Complementarily, there are aspects of semantic content authoring in which automatic techniques have proven to perform reliably, and the added value of human (and collective) intelligence is often a question of cost and timing. The challenge that this book attempts to tackle is how these two approaches (machine- and human-driven computation) could be combined in order to improve the cost-performance ratio of creating, managing, and meaningfully using semantic content. To do so, we need to first understand how theories and practices from social sciences and economics about user behavior and incentives could be applied to semantic content authoring. We will introduce a methodology to help software designers to embed incentives-minded functionalities into semantic applications, as well as best practices and guidelines. We will present several examples of such applications, addressing tasks such as ontology management, media annotation, and information extraction, which have been built with these considerations in mind. These examples illustrate key design issues of incentivized Semantic Web applications that might have a significant effect on the success and sustainable development of the applications: the suitability of the task and knowledge domain to the intended audience, and the mechanisms set up to ensure high-quality contributions, and extensive user involvement. Table of Contents: Semantic Data Management: A Human-driven Process / Fundamentals of Motivation and Incentives / Case Study: Motivating Employees to Annotate Content / Case Study: Building a Community of Practice Around Web Service Management and Annotation / Case Study: Games with a Purpose for Semantic Content Creation / Conclusions

Dieser Band gibt eine elementare, praxisnahe Einf hrung in die Zahlbereiche der nat rlichen Zahlen, der Bruchzahlen, der rationalen, der reellen und der komplexen Zahlen. Zielgruppen sind Studenten der Mathematik f r die Sekundarstufe I oder II, der Primarstufe mit Mathematik als Wahlfach sowie Mathematiklehrer vor allem der Sekundarstufe I oder II.