Vordiplomarbeit aus dem Jahr 2008 im Fachbereich BWL - Unternehmensführung, Management, Organisation, Note: 1,0, Hochschule für Technik, Wirtschaft und Kultur Leipzig (Fachbereich Maschinenbau und Energietechnik), Veranstaltung: Belegarbeit als Prüfungsvorleistung für die Diplomarbeit, Sprache: Deutsch, Abstract: Ziel dieser Studienarbeit ist es, einen Überblick über die Möglichkeiten der Geschäftsprozessanalyse und speziell der wissensintensiven Geschäftsprozesse zu geben. Die Arbeit konzentriert sich auf die verschiedenen Tools, welche die Modellierung wissensintensiver Geschäftsprozesse unterstützen. untersuchte Tools: -ARIS -K-Modeler -Income Suite -Microsoft Visio -ADONIS -ObjetiF -MO2GO -KODA-Toolset Die Modellierungstools werden nach -Funktionalität, -verwendete bzw. unterstützende Modellierungsstandards, -Dokumentation/Hilfe, -Möglichkeiten der Wissensmodellierung und -Kosten des Systems untersucht.

The latest edition of this classic text provides a comprehensive and internationally relevant introduction to work and organizational psychology, exploring the depth and diversity of the field in an accessible way without obscuring the complexities of the subject. Third edition of a classic textbook offering a complete introduction to work and organizational psychology for undergraduate and graduate students with no prior knowledge of the field An innovative new six part structure with two-colour presentation focuses the core material around issues that are either Job-Focused, Organization-Focused, or People-Focused Each chapter title is a question designed to engage readers in understanding work and organizational psychology whilst simultaneously inviting discussion of key topics in the field The third edition introduces two new co-editors in Franco Fraccaroli from Italy and Magnus Sverke, who join Nik Chmiel and will increase relevance and appeal for European students

"The proportion of value added of knowledge in companies has increased since the last years and in this context the meaning of knowledge flows within business processes has become more important. Numerous developed approaches aim at modeling knowledge intensive business processes in order to enable the analysis, evaluation and deduction of potentials for optimization of knowledge flows within these processes. This book presents the Knowledge Modeling and Description Language (KMDLʼ) as a modeling approach from a scientific-theoretical point of view as well as its practical applicability. Practitioners get a deeper comprehension of knowledge intensive business processes and a practical application orientation for the use of KMDLʼ within the company. Scientists and students get a summary about actual research efforts on knowledge intensive business processes, associated methods and cases of application."--Back cover.

This textbook focuses on the management challenges of founding a new venture and managing its rapid growth as the firm evolves. It covers crucial management areas in the entrepreneurship context such as entrepreneurial finance, marketing, and human resource management. Also, more hands-on management topics like writing a business plan and choosing a legal form for a venture are covered. A key chapter of the book is dedicated to leadership challenges in managing rapidly growing young firms located in new industries and technology areas. The book is written from a Continental European perspective to cater for its European target audience in entrepreneurship courses to be held in English.

Unlike traditional information systems which work by issuing requests and waiting for responses, event-driven systems are designed to process events as they occur, allowing the system to observe, react dynamically, and issue personalized data depending on the recipient and situation. Event Processing in Action introduces the major concepts of event-driven architectures and shows how to use, design, and build event processing systems and applications. Written for working software architects and developers, the book looks at practical examples and provides an in-depth explanation of their architecture and implementation. Since patterns connect the events that occur in any system, the book also presents common event-driven patterns and explains how to detect and implement them. Throughout the book, readers follow a comprehensive use case that incorporates all event processing programming styles in practice today. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.

The ?eld of Business Process Management (BPM) is marred by a seemingly e- less sequence of (proposed) industry standards. Contrary to other ?elds (e.g., civil or electronic engineering), these standards are not the result of a widely supported consolidationofwell-understoodandwell-establishedconceptsandpractices.Inthe BPM domain, it is frequently the case that BPM vendors opportunistically become involved in the creation of proposed standards to exert or maintain their in?uence and interests in the ?eld. Despite the initial fervor associated with such standardi- tion activities, it is no less frequent that vendors either choose to drop their support for standards that they earlier championed on an opportunistic basis or elect only to partially support them in their commercial offerings. Moreover, the results of the standardization processes themselves are a concern. BPM standards tend to deal with complex concepts, yet they are never properly de?ned and all-too-often not informed by established research. The result is a plethoraof languagesand tools, with no consensuson conceptsand their implem- tation. They also fail to provide clear direction in the way in which BPM standards should evolve. One can also observe a dichotomy between the “business” side of BPM and its “technical” side. While it is clear that the application of BPM will fail if not placed in a proper business context, it is equally clear that its application will go nowhere if it remains merely a motivational exercise with schemas of business processes hanging on the wall gathering dust.