Managing technological distance in internal and external collaborations: absorptive capacity routines and social integration for innovation

While high technological distance to project partners outside of the established value chain can positively influence innovation performance, project goals can only be achieved if the social integration of project members is improved in terms of coordination and communication. This paper draws on embeddedness and absorptive capacity literature to explore how social integration mechanisms translate into different learning outcomes in distant collaborations within and across organizational boundaries. Drawing upon expert interviews with project members as our primary source of data, we conducted an in-depth multiple case study analysis of a number of inter-organizational projects. Our findings indicate that the effect of different types of social integration mechanisms on learning outcomes also affect the ability to bridge distances in process and product technology. Moreover, they suggest that it is not just the extent, but also the interplay of social integration mechanisms surrounding internal and external absorptive capacity routines that enable project members to engage in the exploration, transformation and exploitation of distant knowledge. In examining how social integration mechanisms foster learning outcome in distant collaborations, our study contributes to the literature on absorptive capacity.     

From Balcony to Barricade: Nationalism and Popular Mobilisation in Georgia,Ukraine, and Russia

This article examines the dynamics of popular mobilisation in autocratic post-communist regimes, focusing on how opposition groups manoeuvre around cultural and structural constraints to inspire ordinary citizens to join street protests, despite the real dangers associated with political action. Using evidence from original interviews with activists in Georgia, Ukraine, and Russia, the article analyses the comparative challenges facing Russian activists in constructing new collective identities for the people they hope will become their followers, through the use of an inclusive, civic nationalism and a narrative that links action in the present to an ongoing, shared historical process.     

The Swedish Constitution and Social Democratic Power: Measuring the Mechanical Effect of a Political Institution

Recent discussions of Swedish political change have focused on the decline of Social Democratic 'hegemony' and on the end of the 'Swedish model'. In contrast to preference– or interest –driven explanations for these developments, this paper investigates the impact of constitutional changes made in 1969 in Sweden, which included the elimination of the Upper House or First Chamber of the Swedish parliament and the introduction of a more directly proportional electoral system. Using a simulation model, the actual electoral results from 1969 through 1994 were plugged into the formulas set forth by the old constitutional rules, in order to generate the number of parliamentary seats each party would have received under the old system. This simulation shows that the Social Democratic Party would have received a significantly larger share of parliamentary seats under the old constitutional rules than under the current constitution. Thus one can conclude that the new constitution decreased Social Democratic power in Sweden.     

Next‐Generation Sequencing of the Bacterial 16S rRNA Gene for Forensic Soil Comparison: A Feasibility Study

Soil has the potential to be valuable forensic evidence linking a person or item to a crime scene; however, there is no established soil individualization technique. In this study, the utility of soil bacterial profiling via next‐generation sequencing of the 16S rRNA gene was examined for associating soils with their place of origin. Soil samples were collected from ten diverse and nine similar habitats over time, and within three habitats at various horizontal and vertical distances. Bacterial profiles were analyzed using four methods: abundance charts and nonmetric multidimensional scaling provided simplification and visualization of the massive datasets, potentially aiding in expert testimony, while analysis of similarities and k‐nearest neighbor offered objective statistical comparisons. The vast majority of soil bacterial profiles (95.4%) were classified to their location of origin, highlighting the potential of bacterial profiling via next‐generation sequencing for the forensic analysis of soil samples.