The economic impact of technological procurement for large-scale research infrastructures: Evidence from the Large Hadron Collider at CERN

The Large Hadron Collider at CERN, the European Organisation for Nuclear Research, is the world’s highest-energy particle accelerator. Its construction (1995–2008) required frontier technologies and close collaboration between CERN scientists and contracting firms. The literature on “Big Science” projects suggests that this collaboration generated economic spillovers, particularly through technological learning. CERN granted us access to its procurement database, including suppliers of LHC from 35 countries for orders over 10,000 Swiss Francs. We gathered balance-sheet data for more than 350 of these companies from 1991 to 2014, which include the years before and after that of the first order received. The study assesses, in quantitative terms, whether becoming a CERN supplier induced greater R&D effort and innovative capacity, thus enhancing productivity and profitability. The findings – which controlled for firms’ observable characteristics, macroeconomic conditions, and unobserved time, country, industry and firm-level fixed effects – indicate a statistically significant correlation between procurement events and company R&D, knowledge creation and economic performance. The correlation is chiefly driven by high-tech orders; for companies receiving non-high-tech orders, it is weaker, or even statistically not significant.     

The effect of scholar collaboration on impact and quality of academic papers

We study how scholar collaboration varies across disciplines in science, social science, arts and humanities and the effects of author collaboration on impact and quality of co-authored papers. Impact is measured with the aid of citations collected by papers, while quality is determined by the judgements expressed by peer reviewers. To this end, we take advantage of the dataset provided by the first-ever national research assessment exercise of Italian universities, which involved 20 disciplinary areas, 102 research structures, 18,500 research products, and 6661 peer reviewers. Collaboration intensity neatly varies across disciplines: it is inescapable is most sciences and negligible in most humanities. We measured a general positive association between cardinality of the author set of a paper and citation count as well as peer quality of the contribution. The correlation is stronger when the affiliations of authors are heterogeneous. There exist, however, notable and interesting counter-examples.     

Simulation framework for teaching in modeling and simulation areas

Simulation is the process of executing a model that describes a system with enough detail; this model has its entities, an internal state, some input and output variables and a list of processes bound to these variables. Teaching a simulation language such as general purpose simulation system (GPSS) is always a challenge, because of the way it executes the models and the abstraction level it can achieve, very different compared with most well-known programming languages. This article presents an open source simulation framework that implements a subset of entities of GPSS, which could help students to improve the understanding of this language. This tool also stores all entities of simulations in every single simulation time, which is very useful for debugging simulations, but also for getting a detailed history of all entities in the simulations, knowing exactly how they have behaved in every simulation time.     

The role of team behavioral integration and cohesion in shaping individual improvisation

The notion of improvisation has recently emerged in managerial studies as a viable answer to flexibly dealing with unexpected occurrences. Nonetheless, research on improvisation has essentially approached the issue through a metaphorical framework, and has regularly relied on conceptual frameworks residing either at the individual or the team-level. We investigate how team-level processes affect individual improvisation in complex project domains. Using data from 138 team leaders and members belonging to 38 information systems development teams, we test cross-level hypotheses through hierarchical linear modeling. Team behavioral integration and team cohesion positively affect individual improvisation. Moreover, cohesion positively moderates the influence of team behavioral integration on individual improvisation. In concluding this paper we offer theoretical and practical implications.     

IT knowledge integration capability and team performance: The role of team climate

Previous research considering a normative perspective for fostering knowledge integration at the team level of analysis underscores that teams are often reluctant to share important knowledge among their members. In the attempt to provide a wider perspective on team knowledge integration, we take a different perspective, basing our arguments on team climate theoretical framework. Specifically, we argue that an autonomy and experimental climate (i.e. shared perception that the team supports autonomous action and experimentation and risk taking) can favor the team's ability to integrate members’ knowledge. Indeed, focusing on members’ willingness to contribute to team well-being, team autonomy and experimental climate may enhance the team's capability to integrate knowledge enabled by the IT infrastructure (IT knowledge integration capability). We tested our research model on a sample of 410 members and leaders of 69 organizational work teams. Results show the critical role played by team climate in favoring IT knowledge integration capability, which in turn affects team outcomes.     

Utility of serum indices in a particular case of serum protein electrophoresis

Screening and measurement of monoclonal (M) proteins are commonly performed using capillary zone electrophoresis (CZE). The identification of M-protein or monoclonal component (CM) is an essential requirement for diagnosis and monitoring of monoclonal gammopathies. The detection of CM has been largely improved by CZE. Capillary electrophoresis estimates CM more accurately, because absence of variation due to different dye binding affinities of proteins as instead seen with agarose gel electrophoresis. However, interferences can be present in CZE. This occurs because all substances absorbing at 200 nm can be identified. Recognition and handling of specimens exhibiting such interferences is essential to ensure accurate diagnostic and patient safety. We herein report on an unusual case of serum protein electrophoresis, to highlight that laboratory staff must be aware of and familiarise with the information provided by laboratory instruments. For example, in the case of serum indices, about specimen quality.     

The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis

The status of a journal is commonly determined by two factors: popularity and prestige. While the former counts citations, the latter recursively weights them with the prestige of the citing journals. We make a thorough comparison of the bibliometric concepts of popularity and prestige for journals in the sciences and in the social sciences. We find that the two notions diverge more for the hard sciences, including physics, engineering, material sciences, and computer sciences, than they do for the geosciences, for biology-medical disciplines, and for the social sciences. Moreover, we identify the science and social science journals with the highest diverging ranks in popularity and prestige compilations.