Research paradigm „Design Science Research"

Design Science Research is problem-oriented and has its roots in engineering sciences. In contrast to natural sciences, which basically study natural phenomena, Design Science Research deals with constructing and evaluating artifacts to alleviate particular, well-defined real world problems. Hence, its major aim is designing and evaluating artifacts to solve identified organizational and technological problems in a goal-oriented manner. In this respect, Design Science Research acts on a normative-prescriptive view. Artifacts are divided in constructs, models, methods, and instantiations. Constructs provide the language to define and communicate problems and solutions. Models use these constructs to specify problems as well as the solution space. Therefore, models are goal-oriented abstractions of the (current or prospective) real "world state". Methods are ways of performing goal-oriented activities and define the process of how to solve problems, that means how to search the solution space (e.g., by an algorithm). Finally, instantiations demonstrate the feasibility of constructs, models, and methods in a real world environment. The artifacts are constructed in an iterative design process and their practical utility, quality, and efficacy has to be evaluated by using well-founded evaluation methods accordingly. Possible evaluation steps are analyses whether the artifact fulfills mathematically well-defined requirements, comparisons to competing artifacts with regard to certain quality criteria, mathematical analyses of the artifact's characteristics (e.g. computational complexity of an algorithm) as well as economical analysis, for example.

This in mind, the Team Information Systems II mostly focuses on constructing and evaluating quantitative planning and decision support artifacts (models as well as methods). Moreover, we especially focus on the following topics: