Spatio-temporal models are crucial for performing assumption and predictions for physical, environmental, space and biological science. Typical application examples include traffic monitoring, regional ozone monitoring, disease mapping and analysis of satellite data. This paper discusses the construction of a conceptual model for spatio – temporal processes based on the concepts of concurrent p...

Prior research has shown that social interactions are important in order to understand the phenomena involved in information systems development. However, most traditional research largely ignores these issues. DeSanctis and Poole (1994) made an important contribution to the study of social dynamics in information systems research with their Adaptive Structuration Theory (AST). Although the con...

In this contribution, we present an overview of our ongoing work in developing an integrated tool support for semantic process model verification. We present some of the requirements and insights gained by the implementation of a platform for semantic process model verification. The platform is based on OWL and SPARQL and provides for a user-friendly way of semantic model verification. First em...

In fitting the process-dissociation model (L. L. Jacoby, 1991) to observed data, researchers aggregate outcomes across participant, items, or both. T. Curran and D. L. Hintzman (1995) demonstrated how biases from aggregation may lead to artifactual support for the model. The authors develop a hierarchical process-dissociation model that does not require aggregation for analysis. Most importantl...

A number of e-Processes (i.e. software processes for developing e-Commerce information systems) exist in industry. We presuppose that for a subclass of these their targeted quality is considered as a driving force of system development. The complexity of selecting a well-suited eProcess for a case at hand is thus increased as e-Process knowledge needs to be blended with system quality knowledge...