Modelling Semiosis of Design

This paper addresses the modelling of the cognitive and evolutionary aspects of engineering design in support of two broad goals: the better understanding of product life cycle processes, and the development of relevant information infrastructure services. The modelling elements are derived from the Framework of Industrial Semiosis. The semiosis of evolutionary design is explained, and general principles of the evolution of the product concept are formulated

Characterizing and modeling citation dynamics

Citation distributions are crucial for the analysis and modeling of the activity of scientists. We investigated bibliometric data of papers published in journals of the American Physical Society, searching for the type of function which best describes the observed citation distributions. We used the goodness of fit with Kolmogorov-Smirnov statistics for three classes of functions: log-normal, simple power law and shifted power law. The shifted power law turns out to be the most reliable hypothesis for all citation networks we derived, which correspond to different time spans. We find that citation dynamics is characterized by bursts, usually occurring within a few years since publication of a paper, and the burst size spans several orders of magnitude. We also investigated the microscopic mechanisms for the evolution of citation networks, by proposing a linear preferential attachment with time dependent initial attractiveness. The model successfully reproduces the empirical citation distributions and accounts for the presence of citation bursts as well.Comment: 8 pages, 5 figure

An Action Design Research Approach within Enterprise Engineering

Enterprise engineering (EE) is emerging as a new discipline that is multi-disciplinary in nature. As highlighted by researchers within the EE discipline, the current status of EE endeavours as taken by several universities is unclear, which led to several initiatives and publications to develop a research agenda within the enterprise engineering research community. This article builds upon existing work aimed at establishing EE as a discipline, also accepting the epistemological stance of idealism, pragmatism and existential phenomenology as argued by Hoogervorst as an appropriate stance for EE research, prior to suggesting action design research (ADR) as an appropriate research method for EE research. More so, the article presents an Action Design Research within Enterprise Engineering (ADR-in-EE) approach as the main contribution to guide prospective EE researchers towards research within the EE discipline. The ADR-in-EE approach is based on ADR, but provides additional guidance by incorporating the use of an Enterprise Evolution Contextualisation Model (EECM), as well as creativity facilitation in the form of Univation’s brainstorming method. As a second contribution, we experiment with the ADR-in-EE approach and use a survey to extract feedback on the usefulness of the approach. The research findings are mostly positive, with qualitative feedback on further improving ADR-in-EE approach.http://link.springer.com/journal/112132018-04-30hb2016Industrial and Systems Engineerin