http://dl.gi.de/handle/20.500.12116/10597 2026-07-22T20:35:02Z 2026-07-22T20:35:02Z Kaczmarek-Heß, Monika Kinderen, Sybren http://dl.gi.de/handle/20.500.12116/10735 2018-03-26T09:09:41Z 2017-01-01T00:00:00Z

A Multilevel Model of IT Platforms for the Needs of Enterprise IT Landscape Analyses Kaczmarek-Heß, Monika; Kinderen, Sybren Conceptual modeling supports analyses of IT artifacts and the enterprise action system they are embedded in. However, in this paper it is argued that for IT landscape analyses existing modeling approaches fall short due to, among others, (a) problems with accounting for specifics of the IT domain, e.g., an elaborate technical terminology with various hierarchy levels, and (b) inadequate support for automated analyses within and across those different levels. In this paper, the authors discuss how a designed multilevel model of IT platforms created using the multilevel modeling language FMMLx can help overcome these problems. To this end, limitations of IT platform models created with conventional, two-level modeling languages are shown. Furthermore,  benefits resulting from the application of the selected multilevel modeling language are discussed.

2017-01-01T00:00:00Z Huber, Sebastian http://dl.gi.de/handle/20.500.12116/10737 2018-03-26T09:09:41Z 2017-01-01T00:00:00Z

Methodology and Tool Support for Adaptive Idea Exploitation in Open Innovation Huber, Sebastian The lack of efficiency and transparency regarding cross-company collaboration in the field of open innovation often leads to cost intensive and unsuccessful products and services. This is because traditional approaches fail to cope with emerging requirements in innovation projects, e.g., the vertical and horizontal integration of strategic partners within and across the company’s value network. However, to maintain their competitive advantage, companies seek a constant and sustainable development of their product and service portfolio. In this context, knowledge work plays an important role in the collaborative development of innovative product and service ideas. For that reason, knowledge workers need systematic support regarding both methodological and operational challenges. The concept of Adaptive Case Management emerged from the necessity to support knowledge workers in unpredictable and highly creative working environments, especially in the field of Business Process Management. Therefore, the contribution shows, both from a conceptual and technological point of view, how to combine those approaches to support knowledge workers in dynamic innovation projects. To test the validity of the concept, a software prototype serves as the foundation for interviews with experts of the innovation department of a large international industrial company.

2017-01-01T00:00:00Z Aalst, Wil M. P. Bichler, Martin Heinzl, Armin http://dl.gi.de/handle/20.500.12116/10734 2018-03-26T09:09:41Z 2017-01-01T00:00:00Z

Responsible Data Science Aalst, Wil M. P.; Bichler, Martin; Heinzl, Armin

2017-01-01T00:00:00Z Dalén, Anders Krämer, Jan http://dl.gi.de/handle/20.500.12116/10736 2018-03-26T09:09:41Z 2017-01-01T00:00:00Z

Towards a User-Centered Feedback Design for Smart Meter Interfaces to Support Efficient Energy-Use Choices Dalén, Anders; Krämer, Jan Based on interviews of users’ experience with current smart-meter technologies the authors propose, implement and evaluate a user-centered design of an energy-use information system that assists private households in making efficient energy consumption decisions. Instead of providing disaggregated data, the envisioned system automatically calculates the monetary savings from replacing an appliance or by changing the operational behavior of an appliance. The information provided is personalized with respect to appliance use and also comprises information from external databases. A prototype is implemented and evaluated in a use case with white goods household appliances. The study concludes with directions for further interactivity improvements and research into the structures of an openly shared appliance database.

2017-01-01T00:00:00Z