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Selecting items for Big Five questionnaires : At what sample size do factorloadings stabilize?
(2014)
Researchers often use exploratory factor analysis (EFA) to develop and refine questionnaires assessing theBig Five personality traits. We use sequential sampling and bootstrapping to determine the number ofparticipants needed to yield stable loading patterns for the Big Five Inventory (BFI) and the InternationalPersonality Item Pool Big Five measure (IPIP). Overall 21,350 participants (BFI = 10,285; IPIP = 11,065)participated. In two studies primary factor loadings are highly variable in smaller samples (n< 500)and some primary loadings are not stable with 10,000 participants. Most studies will not have adequatesample size to yield stable loading patterns for Big Five measures such as the BFI and IPIP. Researchersshould assess and report the variability of loading patterns.
The relevance of cross-industry innovation has increased in recent decades with a growing number of inter-industry fields emerging on the borderline between formerly distinct industries. The aim of this paper is to analyse industry convergence in four probiotics innovation value chains based on the following indicators: cross-industry relationships along the innovation value chain as well as knowledge, technological, regulatory and competence convergence. In so doing, the study delivers a framework of indicators for scrutinising industry convergence processes. In order to identify industry convergence, we analyse companies in the converging area of foods and drugs based on products containing the four bacteria strains: Lactobacillus caseii DN 114001, Bifidobacterium lactis Bb12, Lactobacillus acidophilus LA5 and Lactobacillus rhamnosus. Hence, the commercial availability of the strains on the market serves as a selection criterion. Altogether 12 companies stemming from four industrial backgrounds, food and agriculture (5), pharmaceutics (5), chemistry (1) and personal care (1), as well as one research organisation are identified. Cross-industry relationships occur along the innovation value chains of the four strains. Clear signs of knowledge and technological convergence are found as companies are not only publishing and patenting in the usual area of their own industrial field but also in the area of other industrial fields. Companies with different industrial backgrounds show activities in obtaining health claims indicating regulatory convergence. Companies' competence bases seem to converge as companies with different industrial backgrounds are involved in acquisitions, licencing agreements and strategic alliances (competence convergence). We contribute to the existing body of literature by assessing industry convergence from an innovation value chain perspective with a set of indicators reflecting the intensity of industry convergence. This framework of indicators stemming from literature has not yet been used in a combined comprehensive analysis. Furthermore, we tried to show the characteristics of strategic types driving industry convergence in probiotics.
Europe's freshwater biodiversity under climate change: distribution shifts and conservation needs
(2014)
Aim
To assess the future climatic suitability of European catchments for freshwater species and the future utility of the current network of protected areas.
Location
Europe.
Methods
Using recently updated catchment-scale species data and climate projections from multiple climate models, we assessed the climate change threat by the 2050s for 1648 European freshwater plants, fishes, molluscs, odonates, amphibians, crayfish and turtles for two dispersal scenarios and identified hotspots of change at three spatial scales: major river basins, countries and freshwater ecoregions. We considered both common species and the often overlooked rare species. To set our findings within the context of current and future conservation networks, we evaluated the coverage of freshwater biodiversity by Europe's protected area network.
Results
Six per cent of common and 77% of rare species are predicted to lose more than 90% of their current range. Eight fish species and nine mollusc species are predicted to experience 100% range loss under climate change. As the most species-rich group, molluscs are particularly vulnerable due to the high proportion of rare species and their relatively limited ability to disperse. Furthermore, around 50% of molluscs and fish species will have no protected area coverage given their projected distributions.
Main conclusions
We identified the species most at threat due to projected changes in both catchment suitability and representation within the European protected area network. Our findings suggest an urgent need for freshwater management plans to facilitate adaptation to climate change.
What determines ingredient awareness of consumers? : A study on ten functional food ingredients
(2014)
Given the importance of consumer awareness of functional food ingredients for healthy food choices, the aim of this study is to explore consumers’ ingredient awareness and the determinants which influence the awareness about functional food ingredients.
A sample of 200 German consumers was interviewed via CATI (computer aided telephone interview) during September 2011. The participants have been asked about their specific awareness regarding to ten functional food ingredients. Likewise, determinants like health status and health motivation have been assessed and their influence on the construct “consumers’ ingredient awareness” has been tested by employing structural equation modeling.
The study shows that consumers’ ingredient awareness varies throughout the sample. Overall it can be stated, that 19% of consumer awareness about functional food ingredients is explained through the described model based on the following predictors: age, educational level, health status, health motivation and information strategies. Among these factors, consumers’ health motivation seems to have the highest relevance to explain consumer awareness. But also the determinants information strategies as well as the education show a significant influence on consumers’ ingredient awareness. As health motivation shows the highest impact on consumers’ ingredient awareness this study underlines the importance of prevention propensity for healthy food choices.
Der Lebensmittel- und Landwirtschaftssektor wird in den nächsten Jahrzehnten vor zahlreichen Herausforderungen stehen, die sich aus den sich verändernden globalen Produktions- und Verbrauchsmustern ergeben, die derzeit mit einem hohen Ressourcenverbrauch einhergehen und ökologische und sozioökonomische Auswirkungen haben. Ziel dieses Beitrags ist es, die praktische Anwendbarkeit der Hot-Spot-Analyse-Methode im Kontext des Lieferkettenmanagements in Unternehmen zu veranschaulichen und zu bewerten.
Die HSA ist eine Methode zur Identifizierung sozialer und ökologischer Probleme entlang des gesamten Lebenszyklus eines Produkts. Besonderes Augenmerk wird auf eine maßgeschneiderte Umsetzung in der Wertschöpfungskette Rindfleisch von McDonald's Deutschland gelegt. Die HSA der Wertschöpfungskette Rindfleisch von McDonald's zeigt, dass die größten ökologischen Probleme in der Phase der Rohstoffgewinnung auftreten, während die größten sozialen Probleme in der Phase der Schlachtung identifiziert werden können. Abschließend zeigt der Beitrag Potenziale und Defizite einer solchen maßgeschneiderten Anwendung und wie die Ergebnisse im Nachhaltigkeitsmanagement eines Unternehmens umgesetzt werden können. in das Nachhaltigkeitsmanagement eines Unternehmens implementiert werden können.
The nutritional footprint – An assessment tool for health and environmental effects of nutrition
(2014)
Aufgrund seiner starken Umweltauswirkungen gilt der Lebensmittelsektor durch Effekte in Produktion, Verarbeitung, Konsum und Entsorgung gemeinhin als ein wichtiges Handlungsfeld, soll eine gesellschaftliche Transformation in Richtung Nachhaltigkeit weiter vorangetrieben werden. Da Ernährungsgewohnheiten sowohl ökologische Auswirkungen induzieren als auch gesundheitliche Folgen für die Verbraucher haben, sind Konzepte gefragt, die ökologische mit gesundheitlichen Indikatoren kombinieren; diese sind jedoch bislang rar. Das vorgestellte Instrument des Nutritional Footprint greift diese Problemstellung auf und verbindet in einem innovativen Konzept jeweils vier Kernindikatoren beider Dimensionen. Mithilfe des Konzepts erhalten Verbraucher einen Überblick zu Umwelt- und Gesundheitswirkungen ihrer Ernährung. Unternehmen können wiederum interne Datensätze verwalten, Benchmarking betreiben und ihre externe Kommunikationsleistung erweitern.
Background: Availability and usage of individual IT applications have been studied intensively in the past years. Recently, IT support of clinical processes is attaining increasing attention. The underlying construct that describes the IT support of clinical workflows is clinical information logistics. This construct needs to be better understood, operationalised and measured.
Objectives: It is therefore the aim of this study to propose and develop a workflow composite score (WCS) for measuring clinical information logistics and to examine its quality based on reliability and validity analyses.
Methods: We largely followed the procedural model of MacKenzie and colleagues (2011) for defining and conceptualising the construct domain, for developing the measurement instrument, assessing the content validity, pretesting the instrument, specifying the model, capturing the data and computing the WCS and testing the reliability and validity.
Results: Clinical information logistics was decomposed into the descriptors data and information, function, integration and distribution, which embraced the framework validated by an analysis of the international literature. This framework was refined selecting representative clinical processes. We chose ward rounds, pre- and post-surgery processes and discharge as sample processes that served as concrete instances for the measurements. They are sufficiently complex, represent core clinical processes and involve different professions, departments and settings. The score was computed on the basis of data from 183 hospitals of different size, ownership, location and teaching status. Testing the reliability and validity yielded encouraging results: the reliability was high with r(split-half) = 0.89, the WCS discriminated between groups; the WCS correlated significantly and moderately with two EHR models and the WCS received good evaluation results by a sample of chief information officers (n = 67). These findings suggest the further utilisation of the WCS.
Conclusion: As the WCS does not assume ideal workflows as a gold standard but measures IT support of clinical workflows according to validated descriptors a high portability of the WCS to other hospitals in other countries is very likely. The WCS will contribute to a better understanding of the construct clinical information logistics.
The demand for evidence-based health informatics and benchmarking of 'good' information systems in health care gives an opportunity to continue reporting on recent papers in the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE) here. The publications in focus deal with a comparison of benchmarking initiatives in German-speaking countries, use of communication standards in telemonitoring scenarios, the estimation of national cancer incidence rates and modifications of parametric tests. Furthermore papers in this issue of MIM are introduced which originally have been presented at the Annual Conference of the German Society of Medical Informatics, Biometry and Epidemiology. They deal as well with evidence and evaluation of 'good' information systems but also with data harmonization, surveillance in obstetrics, adaptive designs and parametrical testing in statistical analysis, patient registries and signal processing.