How do universities shape founding teams? Social proximity and informal mechanisms of knowledge transfer in student entrepreneurship

This paper investigates informal mechanisms of knowledge transfer (KT) from a local university to entrepreneurial teams comprising students and recent graduates. While the extant literature on university-industry KT largely focuses on formal mechanisms aimed at stimulating entrepreneurial initiatives in high-tech (HT) sectors, it overlooks the effect of university-industry KT on nascent entrepreneurship in low-medium tech (LMT) sectors. To fill this gap in the literature, we carry out a mixed-method analysis that exploits a dataset of 154 new business ideas (and 535 team members) presented at a business plan competition in Rimini from 2010 to 2017. Our findings highlight a robust relationship between educational field and the R&D intensity of entrepreneurial projects: students take advantage of the knowledge acquired at university to develop entrepreneurial projects with higher technological content than those planned by non-graduates. Furthermore, the empirical evidence shows that the local university nurtures the formation of ties among students and recent graduates enrolled in the same courses and fosters their efforts to launch new ventures. Finally, the qualitative analysis identifies relevant and non-traditional mechanisms of KT that are being exploited by nascent entrepreneurs to develop their business ideas in the LMT and HT sectors.

     

Bottom-level organizational changes within entrepreneurial and engaged models of university: insights from Italy

We analyze the way in which individual academics and research groups organize their third mission activities before and after the institutionalization of third mission strategies by the university governing body. Drawing on the literature, we put forward an interpretative framework that links central entrepreneurial or engaged strategies with the way academics organize their third mission activities. Then, we propose an application of this frame to the case of the University of Florence (Italy), before and after its transition to more structured entrepreneurial and engaged models. We use a mix of quantitative and qualitative analysis. A cluster analysis allows identifying different types of academics involved in the third mission based on the way they organize their activities. Furthermore, a set of interviews to academics complements the comparison and the interpretation of the clusters obtained. The following paths of change emerge: (1) increased proportion of academics involved in third mission activities; (2) bottom-level initiatives that are aligned with central strategies; and (3) increased heterogeneity of bottom-level organization forms, with a relative loss of importance of the group dimension with respect to the individual academics and an increased specialization of research groups.

     

Mixing Habermas with Bayes: Methodological and Theoretical Advances in the Study of Deliberation

Two challenges stand out in the study of deliberation: the development of appropriate methodological tools and the development of more unified analytical frameworks. On the one hand, analysing deliberative processes is demanding and time‐consuming; hence we tend to have only few and non‐randomly selected cases at the group or context level. In addition, the real world of deliberation presents us with a complex matrix of nested, cross‐classified, and repeated speakers. This article shows that Bayesian multi‐level modelling provides an elegant way to tackle these methodological problems. On the other hand, we attempt to enrich comparative institutionalism with individual characteristics and psychologically relevant variables (such as group composition). Focusing on Swiss and German parliamentary debates we show that institutional factors ‐ in particular, consensus systems ‐, the gender composition of committees and plenary sessions, and age matter for the quality of deliberation. Furthermore, we also show that partisan affiliation ‐ government or opposition status of MPs ‐ affects deliberative quality and can refine institutional arguments. We conclude that a multi‐level approach to deliberation focusing on contextual and actor‐related characteristics and using Bayesian hierarchical modelling paves the way toward a more advanced understanding ‐ and methodological handling ‐ of deliberative processes.     

The cognitive and affective components of political attitudes: Measuring the determinants of candidate evaluations

Past research suggests that beliefs and emotions operate as partially distinct determinants of political attitudes. In addition, while positive and negative beliefs about a political object are bipolar in structure, positive and negative emotions have been demonstrated to be relatively independent. In this past research, beliefs and emotions have been assessed with different measures. Yet current models of survey responding suggest that responses to survey items are often influenced by the manner in which the researcher poses the questions. As such, it is not clear whether the uniqueness of these belief and emotion measures reflects a bona fide difference between two underlying constructs, or merely an artifactual difference induced by differing methods of measurement. In this study, beliefs and emotions are shown to operate as partially unique predictors of candidate evaluation even when employing corresponding methods of measurement. The independence of positive and negative emotion, however, only arises when employing a dichotomous measure. When employing ordinal measures, positive and negative emotions contain a substantial component of bipolarity. The theoretical implications of these findings are discussed.     

Population genetics of the D1S1656, D12S391, and D18S535 loci in Asturias (North Spain)

Allele and genotype frequencies for three recently described short tandem repeat loci D1S1656, D12S391, and D18S535 were determined in a population sample from Asturias (North Spain). The loci were amplified using a fluorescence based PCR method and were typed automatically. No deviation from Hardy-Weinberg expectations were observed. The three loci proved to be highly discriminating and the allele frequencies observed are similar to those of the other European populations that have been typed for these loci to date.     

Isolation of Delta9-THCA-A from hemp and analytical aspects concerning the determination of Delta9-THC in cannabis products

A simple procedure based on a common silica gel column chromatography for the isolation of Delta9-tetrahydrocannabinolic acid A (Delta9-THCA-A) from hemp in a multi-milligram scale is presented. Further, the decarboxylation reaction of Delta9-THCA-A to the toxicologically active Delta9-tetrahydrocannabinol (Delta9-THC) at different analytical and under-smoking conditions is investigated. Maximal conversion in an optimised analytical equipment yields about 70% Delta9-THC. In the simulation of the smoking process, only about 30 % of the spiked substance could be recovered as Delta9-THC.