Tumorpatienten – die Rolle der Angehörigen

Zusammenfasung  Belastungen, Bew?ltigungen, Ressourcen — Angeh?rige von Patienten werden im medizinischen Behandlungsprozess nicht selten als „St?rfaktoren“ wahrgenommen, die durch ihre Gegenwart, ihre Fragen und Anliegen den Arbeitsalltag „behindern“. Nur allzu schnell wird übersehen, welche gro?e Bedeutung sie bei der Betreuung der Patienten haben und wie hilfreich und unterstützend sie auch für das Pflegepersonal sein k?nnen – das gilt auch und besonders in der Onkologie.     

Reference Publication Year Spectroscopy (RPYS) with publications in the area of academic efficiency studies: what are the historical roots of this research topic?

In this study, we explore the historical roots of the relatively new topic in scientometrics of academic efficiency assessments. We are interested in the contributions of researchers from the past which have been revealed as important for the topic in the long run. The technique of Reference Publication Year Spectroscopy (RPYS) has been recently introduced which is based on the analysis of the frequency with which references are cited in the publications of a specific research field (here: academic efficiency assessments). The study is based on papers conducted for a systematic review of empirical articles on technical efficiency in academic research production: 60 papers (published between 1992 and 2012) and 1314 cited references. Results indicated that 5 peaks are clearly identifiable until 2000. They correspond, respectively, to the years 1957 (The founding article of Farrell), 1978 (Proposition of a new promising approach: the Data Envelopment Analysis (DEA) by Charnes et al.), 1988 (Research-teaching multi-output model and integration of quality indicators), 1990 (DEA in the service of Research Assessment Exercise) and 1997 (Introduction of weight restrictions in DEA). The peaks are described with the underlying publications and recent developments (since 2000) in the area of academic efficiency studies are outlined.     

What are the top five journals in economics? A new meta-ranking

We construct a meta-ranking of 277 economics journals based on 22 different rankings. The ranking incorporates bibliometric indicators from four different databases (Web of Science, Scopus, Google Scholar, and RePEc). We account for the different scaling of the bibliometric indicators by standardizing each ranking score. We run a principal component analysis to assign weights to each ranking. In our meta-ranking, the top five journals are given by: Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature (JEL), Journal of Finance, and Econometrica. Additionally, leaving out the JEL as a survey journal and the finance journals in our top 10 list we confirm the perceived top five journals in the economics profession.     

Introducing a general class of species diversification models for phylogenetic trees

Phylogenetic trees are types of networks that describe the temporal relationship between individuals, species, or other units that are subject to evolutionary diversification. Many phylogenetic trees are constructed from molecular data that is often only available for extant species, and hence they lack all or some of the branches that did not make it into the present. This feature makes inference on the diversification process challenging. For relatively simple diversification models, analytical or numerical methods to compute the likelihood exist, but these do not work for more realistic models in which the likelihood depends on properties of the missing lineages. In this article, we study a general class of species diversification models, and we provide an expectation-maximization framework in combination with a uniform sampling scheme to perform maximum likelihood estimation of the parameters of the diversification process.     

Bayesian smooth-and-match inference for ordinary differential equations models linear in the parameters

Dynamic processes are crucial in many empirical fields, such as in oceanography, climate science, and engineering. Processes that evolve through time are often well described by systems of ordinary differential equations (ODEs). Fitting ODEs to data has long been a bottleneck because the analytical solution of general systems of ODEs is often not explicitly available. We focus on a class of inference techniques that uses smoothing to avoid direct integration. In particular, we develop a Bayesian smooth-and-match strategy that approximates the ODE solution while performing Bayesian inference on the model parameters. We incorporate in the strategy two main sources of uncertainty: the noise level of the measured observations and the model approximation error. We assess the performance of the proposed approach in an extensive simulation study and on a canonical data set of neuronal electrical activity.     

Digitalisierungsschub in Firmen während der Corona-Pandemie

Wirtschaftsdienst - Durch die Corona-Pandemie haben digitale Technologien in Unternehmen an Bedeutung gewonnen. Auf Basis einer Betriebsbefragung des Instituts für Arbeitsmarkt- und...     

Corporate venture capital as a strategy for external innovation: an exploratory empirical study

By creating corporate venture capital (CVC) units, large corporations predominantly pursue strategic objectives, especially the realisation of external innovations. Theoretical and preliminary empirical results on corporate venturing suggest how to manage CVC in order to achieve strategic objectives. We analyse for a sample of 21 corporate venture units in Germany, if the respective CVC programmes pursue the strategic objective to leverage external innovation and if these programmes are managed accordingly. We find that the majority of German corporate venture programmes follow mixed objectives and are not organised and managed as suggested in the literature. We come to the conclusion that a short-term focus on financial objectives of these CVC programmes prohibits the achievement of long-term strategic benefits from external innovation.     

A generalized multi-country endogenous growth model

The transitional dynamics of open-economy endogenous growth models are largely unexplored. The present paper fills this gap in the literature. By applying the familiar Travis–Dixit–Norman (Dixit and Norman, Theory of International Trade, Cambridge University Press, Cambridge, UK, 1980) approach to a general class of growth models, it provides original results on the transitional dynamics of the multi-country open-economy versions of several prominent special cases, including the models of Romer (J Polit Econ, 94:1002–1037, 1986; J Polit Econ 98:S71–S102, 1990), Lucas (J Monet Econ, 22:3–42, 1988), Grossman and Helpman (Innovation and Growth in the Global Economy. MIT Press, Cambridge, MA, 1991a, Chaps. 3 and 4; Rev Econ Stud 58:43–61, 1991b), Jones (J Polit Econ, 103:759–784, 1995a), and Segerstrom (Am Econ Rev, 88:1290–1310, 1998). This approach also shows that, in the class of models considered, the question of whether or not international economic integration accelerates growth in the long run is equivalent to the question of whether or not scale effects prevail.