Michael Möhring

Digitization – Perspectives for Conceptualization

Digitization is more than using digital technologies to transfer data and perform computations and tasks. Digitization embraces disruptive effects of digital technologies on economy and society. To capture these effects, two perspectives are introduced, the product and the value-creation perspective. In the product perspective, digitization enables the transition from material, static products to interactive and configurable services. In the value-creation perspective, digitization facilitates the transition from centralized, isolated models of value creation, to bidirectional, co-creation oriented approaches of value creation.

Architectural Decision Management for Digital Transformation of Products and Services

The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, A ...

Decision-Controlled Digitization Architecture for Internet of Things and Microservices

Digitization of societies changes the way we live, work, learn, communicate, and collaborate. In the age of digital transformation IT environments with a large number of rather small structures like Internet of Things (IoT), Microservices, or mobility systems are emerging to support flexible and agile digitized products and services. Adaptable ecosystems with service-oriented enterprise architectures are the foundation for self-optimizing, resilient run-time environments and distributed information systems. The resulting business disruptions affect almost all new information processes and systems in the context of digitization. Our aim are more flexible and agile transformations of both business and information technology domains with more flexible enterprise information systems through adaptation and evolution of digital enterprise architectures. The present research paper investigates mechanisms for decision-controlled digitization architectures for Internet of Things and Microservices by evolving enterprise architecture reference models and state of the art elements for architectural engineering for micro-granular systems.

Data-Centered Platforms in Tourism: Advantages and Challenges for Digital Enterprise Architecture

Digitization changes business processes and enterprise architectures in many sectors. In the Tourism sector more and more data must be analyzed and integrated into business processes. Therefore, the current architecture must be changed to a more flexible, data-driven one. Besides the basements of current Tourism application, we investigate which scenarios are possible via data-centered platforms in Tourism and how this transformation can be done.

Enterprise Architecture Analytics and Decision Support

The discipline of Enterprise Architecture Management started using a model-driven approach. In contrary to the model-driven approaches, our approach follows strives to tap also the information contained in the operational systems that support IT-Service-Management. Therefore, this paper aims at indicating the increased capabilities of Enterprise Architecture Analytics and Decision Support through the use of a data-driven approach. It will give fundamental insights in the current research work of enterprise architecture management analytics as well as decision support based on this quantitative data.

The Impact of Digitization on Information System Design - An Explorative Case Study of Digitization in the Insurance Business

Digitization transforms business process models and processes in many enterprises. However, many of them need guidance, how digitization is impacting the design of their information systems. Therefore, this paper investigates the influence of digitization on information system design. We apply a two-phase research method applying a literature review and an exploratory case study. The case study took place in the IT service provider of a large insurance enterprise. The study’s results suggest that a number of areas of information system design are affected, such as architecture, processes, data and services.

Potentials of Image Mining for Business Process Management

An enormous amount of data in the context of business processes is stored as images. They contain valuable information for business process management. Up to now this data had to be integrated manually into the business process. By advances of capturing it is possible to extract information from an increasing number of images. Therefore, we systematically investigate the potentials of Image Mining for business process management by a literature research and an in-depth analysis of the business process lifecycle. As a first step to evaluate our research, we developed a prototype for recovering process model information from drawings using Rapidminer.

Überblick über mögliche Lösungen am Markt

Im nachfolgenden wird ein komprimierter Uberblick uber mogliche Public Cloud-CRM-Losungen am Markt aufgezeigt. Prinzipiell existieren auf Basis unserer Erfahrung zwei grundlegende Moglichkeiten.

CRM in der Public Cloud

Customer-Relationship-Managementsysteme in der Cloud konnen entweder durch das Unternehmen selbst betrieben werden oder bspw. uber einen externen Anbieter in der Public Cloud realisiert werden.

Einführung von Public Cloud-CRM- Systemen

Basierend auf den Einflussfaktoren zur Nutzung von Public Cloud CRM (vgl. Kap. 4) muss eine Entscheidung getroffen werden, ob eine CRM in der Public Cloud im Unternehmen eingefuhrt werden soll.