About: Ramon Llull University is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Corporate social responsibility & Population. The organization has 2026 authors who have published 3682 publications receiving 88615 citations.
Topics: Corporate social responsibility, Population, Corporate governance, Open innovation, Supply chain
Papers published on a yearly basis
TL;DR: The LHCb experiment is dedicated to precision measurements of CP violation and rare decays of B hadrons at the Large Hadron Collider (LHC) at CERN (Geneva).
Abstract: The LHCb experiment is dedicated to precision measurements of CP violation and rare decays of B hadrons at the Large Hadron Collider (LHC) at CERN (Geneva). The initial configuration and expected performance of the detector and associated systems, as established by test beam measurements and simulation studies, is described.
TL;DR: In this paper, a meta-analysis synthesizes empirical findings in order to obtain evidence whether and especially under which circumstances smaller, resource-scarce firms benefit from innovation, and they find that the innovation-performance relationship is context dependent.
Abstract: The performance implications of innovation in small and medium-sized enterprises (SMEs) have attracted considerable interest among academics and practitioners. However, empirical research on the innovation–performance relationship in SMEs shows controversial results. This meta-analysis synthesizes empirical findings in order to obtain evidence whether and especially under which circumstances smaller, resource-scarce firms benefit from innovation. We find that innovation–performance relationship is context dependent. Factors such as the age of the firm, the type of innovation, and the cultural context affect the impact of innovation on firm performance to a large extent.
15 Oct 2008
TL;DR: KEEL as discussed by the authors is a software tool to assess evolutionary algorithms for data mining problems of various kinds including regression, classification, unsupervised learning, etc., which includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL.
Abstract: This paper introduces a software tool named KEEL which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with different pre-processing techniques, allowing it to perform a complete analysis of any learning model in comparison to existing software tools. Moreover, KEEL has been designed with a double goal: research and educational.
TL;DR: The value of the ratio of branching fractions for the dilepton invariant mass squared range 1 < q(2) < 6 GeV(2)/c(4) is measured to be 0.745(-0.074)(+0.090)(stat) ± 0.036(syst).
Abstract: A measurement of the ratio of the branching fractions of the B+→K+μ+μ− and B+→K+e+e− decays is presented using proton-proton collision data, corresponding to an integrated luminosity of 3.0 fb−1, recorded with the LHCb experiment at center-of-mass energies of 7 and 8 TeV. The value of the ratio of branching fractions for the dilepton invariant mass squared range 1
TL;DR: In this paper, the authors examine the relationship among variables embedded in Simons' framework of lever-of-control, explicitly distinguishing the different types of effects involved and testing their significance.
Abstract: Simons' `levers of control' framework indicates that an interactive use of management control systems (MCS) contributes to fostering successful product innovation. However, his work is ambiguous in not specifying whether the relationship between interactive controls and innovation is a mediating or a moderating relationship. This paper examines the relationships among variables embedded in Simons' framework of levers of control, explicitly distinguishing the different types of effects involved and testing their significance. The results of the survey-based research do not support the postulate that an interactive use of MCS favours innovation. They suggest this may be the case only in low-innovating firms, while the effect is in the opposite direction in high-innovating firms. No evidence is found either in favour of an indirect effect of the interactive use of MCS on performance acting through innovation. In contrast, the proposition that the impact of innovation on performance is moderated by the style of use of MCS is supported, with results indicating that the explanatory power of a model that regresses performance on innovation is significantly enhanced by the inclusion of this moderating effect.
Showing all 2055 results
|Daniel W. Armstrong||93||759||35819|
|M. Calvo Gomez||88||767||33028|
|Klaas R. Westerterp||87||407||27195|
|C. Oliver Kappe||79||562||30649|
|Sirkka L. Jarvenpaa||62||204||27025|
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