Workflow-based Process Controlling Systems provide companies with the ability to measure the operational performance of their business processes in a timely and accurate fashion. The combination of workflow audit trails with data warehouse technology and operational business data allows for complex analyses that can support managers in their assessment of an organization's performance. The increasing maturity of business process management and data warehouse systems enables the design and development of advanced process-oriented management information systems. Michael zur Muehlen discusses the integration of workflow audit trail data with existing data warehouse structures and develops a reference architecture for process-oriented management information systems. Starting with an organizational and technical analysis of process organizations, this book provides a comprehensive documentation of business process management, workflow technology, and existing standardization efforts. The proposed reference architecture is validated in an industry context. A prototypical implementation of the reference architecture and its integration with a commercial business process management system are demonstrated as well. This book is directed at both practitioners and academics in the fields of business process management, management accounting, and information systems research.

Studienarbeit aus dem Jahr 2016 im Fachbereich Führung und Personal - Recruiting, Note: 1,0, AKAD University, ehem. AKAD Fachhochschule Stuttgart, Sprache: Deutsch, Abstract: Die heutige Zeit ist geprägt von Schnelllebigkeit und Veränderung. Bedingt durch Globalisierung und gesteigerte Erwartungshaltung der Teilnehmer unterliegen auch die heutigen Märkte starken dynamischen Prozessen.1 Die stetigen Veränderungen zwingen Unternehmen zu immer effizienteren und dadurch auch oft komplexeren Prozessen, um den Anforderungen des Marktes gerecht zu werden. Die Darstellung und Optimierung von Geschäftsprozessen ist dabei Aufgabe des Geschäftsprozessmanagements. Ziel neben der Optimierung ist stets auch die Sicherstellung des optimalen Ablaufs von Geschäftsprozessen. Zur Modellierung von Geschäftsprozessen stehen verschiedene Methoden zu Verfügung. Zwei der verbreitetsten Methoden stellen die Methoden EPK und BPMN dar. Im Rahmen der vorliegenden Arbeit werden beide Methoden miteinander verglichen.

Studienarbeit aus dem Jahr 2016 im Fachbereich BWL - Unternehmensfuhrung, Management, Organisation, Note: 1,0, AKAD University, ehem. AKAD Fachhochschule Stuttgart, Veranstaltung: Prozessmodellierung, Sprache: Deutsch, Abstract: Die Beherrschung von Prozessen entscheidet uber Effektivitat und Effizienz der Unternehmen. Prozesse sollen analysiert und verstanden werden damit diese auch kompetent modelliert und designt werden. Nicht Kostensenkung, sondern die Beherrschung der internen und der uber das unternehmen hinaus greifenden Prozesse (in Kommunikation mit Kunden und Partner) ist in unserer Zeit entscheidend fur den unternehmerischen Erfolg. Fur die Modellierung, Analyse und Optimierung (auch in Rahmen der Automatisierung ) gibt es entsprechende Methoden. Hier werden die heute moderne und immer mehr beachtete BPMN Methode mit der alteren EPK Methode behandelt. Es findet eine Vorstellung der Methoden, eine Anwendung (anhand des Prozesses Personalbeschaffung) und eine kompetente kritische Auseinandersetzung statt."

In the ten years since the inception of the Sloan Consortium, the field of online learning has entered the mainstream of higher education, making online learning a core ingredient of tomorrow¿s educational paradigms. Now that digital natives are coming of age, the blending of on-ground and online education is continuous and unstoppable. Growing demands for wide choice suggest that the blended agenda presses us rapidly into new realms of inquiry. Thus, the title of this collection, the fifth volume in the Sloan-C series on quality, is Elements of Quality Online Education: Into the Mainstream. The 14 peer-reviewed studies in this volume provide guidance for effectively responding to the challenges facing higher education.¿The studies on Student Satisfaction recognize that significant populations remain underserved. Yet asynchronous learning networks (ALNs) are widening access by easing some of the constraints of place-based, synchronous learning, so that many more and many more new kinds of learners can achieve satisfaction and success. ¿The studies on Learning Effectiveness share an emphasis on the ways that ALN exceeds the ¿no significant difference¿ minimum standard for learning outcomes.¿The studies on blending, combining face-to-face and online methods for learning, offer rich possibilities for what many see as the best of both learning modes.¿The studies on assessment go to the core of the Sloan-C quality framework and its emphasis on continuous quality improvement through demonstrating progress towards the overarching goal of affordable access for all in a wide range of disciplines.In our time of ¿profound, rapid, and discontinuous change,¿ these studies envision solutions to the challenges of online, blended and face-to-face education in higher education. Sponsored by the Alfred P. Sloan Foundation, the purpose of the Sloan Consortium (Sloan-C) is to help learning organizations continually improve quality, scale, and breadth according to their own distinctive missions, so that education will become a part of everyday life, accessible and affordable for anyone, anywhere, at any time, in a wide variety of disciplines.

This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (DFG)”) to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage. The book was mainly written for scientific researchers and advanced professionals with an academic background. They will benefit from its comprehensive treatment of various topics related to problems that are now gaining in importance, given the higher costs for maintenance and evolution in comparison to the initial development, and the fact that today, most software is not developed from scratch, but as part of a continuum of former and future releases.

Negotiating a Common Understanding. Ways to the Get Started. Exploring the Possibilities. Clarifying Expectations. Greatly Improving the Odds of Success.

Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and constantly expanding. It typically includes engineering, management and collaboration information, as well as psychological aspects and best practices. This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of “lightweight,” modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering. While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.