Towards a Process Reference Model for Information Supply Chain Management

High-quality information is a prerequisite for companies to accomplish business and strategic goals, such as global reporting, customer relationship management or compliance with legal provisions. During the last years, experts in the field of information quality begun to realize that a paradigm shift is needed to solve information quality issues in organizations. Information should be treated as a product and information quality is possible only through the quality management of information supply chains. The paper at hand contributes to this new direction by proposing a process reference model for quality management of information supply chains (Information Product Supply Chain Management, IPSCM) by leveraging the SCOR-Model, a widely accepted standard for supply chain management. The IPSCM-Model enables users to address, improve, and communicate information creation practices within and between all interested parties

Towards A Method for Developing Reference Enterprise Architectures

In most economic sectors organizations face rapid environmental changes like regulations. Such changes can force them to adjust both their organizational and operational structure. For instance, in the energy utility sector numerous developments moved German Public Utilities (PUs) towards a liberalized market. Nowadays PUs have to stay competitive while managing a heterogeneous information technology (IT) landscape. We address this demand for aligning business and IT by combining the holistic perspective of Enterprise Architecture Management (EAM) with the characteristic of reference modeling to reuse knowledge in a problem domain. Therefore, we utilize configurative reference modeling within Design Science Research (DSR). The artefact at hand is a method for developing a Reference Enterprise Architecture (R-EA), which is applied in the problem domain of PUs. Our contributions are the (i) adaptation of Configurative Reference Modelling (CRM) to develop a R-EA and (ii) a procedure how to elicit knowledge for R-EA development method

Strategic Business Requirements for Master Data Management Systems

Master Data Management (MDM) is of increasing importance because it is seen as a promising approach in companies torespond to a number of strategic business requirements, such as complying with an increasing number of regulations,supporting internal and external business process integration, and establishing a “360-degree-view on the customer”. As aresult, software vendors such as IBM, Oracle, SAP, and TIBCO are offering MDM application systems. However, the usercommunity feels a significant mismatch between their own strategic requirements and the functionality currently offered bythe software products. As the Information Systems (IS) research community has remained silent so far regarding this researchproblem, the research presented in this paper makes intensive use of knowledge from the practitioners’ community in order todesign a framework for strategic business requirements to be met by MDM systems. As an outcome of a design-orientedresearch process, the framework is an artifact which advances the scientific body of knowledge while at the same timeproviding benefit for practitioners. The framework includes seven design principles which are translated into 23requirements. The requirements form a baseline for internal and external communication in companies and for the design ofconcrete MDM systems

Eine Analyse der Literatur zur Referenzmodellierung im Geschäftsprozessmanagement unter Berücksichtigung quantitativer Methoden

Im Geschäftsprozessmanagement nimmt die Referenzmodellierung bei der Gestaltung von Geschäftsprozessen eine große Bedeutung ein, da auf bereits existierende Modelle zurückgegriffen werden kann. So kann Zeit für die Entwicklung der Prozesse eingespart und von bereits etabliertem Wissen profitiert werden. Die vorliegende Masterarbeit analysiert die Literatur im Bereich der Referenzmodellierung im Geschäftsprozessmanagement unter Berücksichtigung quantitativer Methoden. Es werden insbesondere die Forschungsrichtungen bzw. Themenbereiche, Entwicklungen und der aktuelle Stand der Literatur in diesem Bereich ermittelt. Zunächst werden deutsch- und englischsprachige Artikel nach bestimmten Kriterien ausgewählt. Anschließend folgt eine quantitativ orientierte Analyse der Literatur. Dabei kommt die Latente Semantische Analyse zum Einsatz, mit deren Hilfe Themenbereiche ermittelt werden und die einzelnen Beiträge den ermittelten Themenbereichen zugeordnet werden können. Darüber hinaus wird die Entwicklung der Anzahl der Artikel in den Themenbereichen im Zeitverlauf betrachtet und auf Unterschiede zwischen der deutsch- und englischsprachigen Literatur eingegangen. In der darauf folgenden qualitativ orientierten Analyse werden die Artikel der einzelnen Themenbereiche inhaltlich analysiert und der aktuelle Stand der Forschung dargestellt. Nicht zuletzt werden die Ergebnisse der qualitativen Analyse in Bezug zu den Ergebnissen der quantitativen Analyse gesetzt