Public service motivation and rational choice modeling

While most previous research has considered public service motivation (PSM) as the only motivational factor predicting (public) job choice, the authors present a novel, rational choice-based model which includes three motivational dimensions: extrinsic, enjoyment-based intrinsic and prosocial intrinsic. Besides providing more accurate person-job fit predictions, this new approach fills a significant research gap and facilitates future theory building.

Granular computing as a tool of human data interaction - a cognitive cities use case

The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite for data legibility. As such, it allows for extending the research agenda of HDI to encompass the topic of collective intelligence amplification, which is seen as an opportunity of today’s increasingly pervasive computing environments. As an example of collective intelligence amplification in HDI, we introduce a collaborative urban planning use case in a cognitive city environment and show how an iterative process of user input and human-oriented automated data processing can support collective decision making. As a basis for automated human-oriented data processing, we use the spatial granular calculus of granular geometry.

The use of evidence in public debates in the media: the case of Swiss direct-democratic campaigns in the health policy sector

This article analyses the reporting of evidence in Swiss direct-democratic campaigns in the health policy sector, assuming that an informed public helps democracy function successfully. A content analysis of the media’s news reporting shows that of 5030 media items retrieved, a reference to evidence is found in 6.8%. The voter receives evidence in the form of substantiating arguments, equally distributed among proponents and opponents. Experts have the highest chance of providing evidence, but appear most rarely. Integrating more evidence might provide voters with the diversity of arguments needed to make a truly informed decision.