265 research outputs found
Data Conversations: Decentralized science (DeSci)
No full text<p>Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But is the current publishing system setup in a good way to enable transparent research and sharing of the undelrying data and code? Are there alternatives to publishing your research as a PDF?</p>
<p>In this edition of the Data Conversations, we dive into Decentralized science, an initiative to rethink scholarly publication and to respond to its challenges by combining insights from metascience with cutting-edge technological solutions. Prof. Dr. Philipp Koellinger co-founded DeSci Labs, intoruduce the ideas behind Decentralized science.</p>
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NaveSupplementalMaterial – Supplemental material for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study
No full textSupplemental material, NaveSupplementalMaterial for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study by Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable and Philipp D. Koellinger in Psychological Science</p
Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior
No full textKoellinger, P.D. [Promotor]Posthuma, D. [Promotor
NaveOpenPracticesDisclosure – Supplemental material for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study
No full textSupplemental material, NaveOpenPracticesDisclosure for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study by Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable and Philipp D. Koellinger in Psychological Science</p
I Can’t Get No Satisfaction - Necessity Entrepreneurship and Procedural Utility
No full textWe study a unique sample of 1,547 nascent entrepreneurs in Germany and analyze which factors are associated with their start-up satisfaction. Our results identify a group of nascent entrepreneurs that “cannot get satisfaction†with their start-up because they did not choose to become entrepreneurs out of free will, but out of long-term unemployment or a lack of better employment alternatives. Overall, financial success is the most important determinant of start-up satisfaction. Yet, achievement of independence and creativity is also highly important, a finding that emphasizes the economic relevance of procedural utility and non-financial incentives.entrepreneurship;necessity entrepreneurship;procedural utility;satisfaction;unemployment
Analyzing E-Learning Adoption via Recursive Partitioning
No full textThe paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART). We find strong evidence for the existence of technological interdependencies and organizational learning effects. Furthermore, we find different paths to elearning adoption. The results of the analysis suggest a growing "digital divide" among firms. We use cross-sectional data from a European survey about e-business in June 2002, covering almost 6,000 enterprises in 15 industry sectors and 4 countries. Comparing the predictive quality of CART, we find that CART outperforms a traditional logistic regression. The results are more parsimonious, i. e. CARTs use less explanatory variables, better interpretable since different paths of adoption are detected, and from a statistical standpoint, because interactions between the covariates are taken into account.Technology Adoption, Path Dependence, Interaction between Different Technologies, Regression Trees, Predictive Segmentation, Logistic Regression, E-Learning, E-Business
Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
No full textWe conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.This research was carried out under the auspices of the Social Science Genetic Association Consortium (SSGAC, https://www.thessgac.org/). The research has also been conducted using the UK Biobank Resource under Application Number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15), the Swedish Research Council (421-2013-1061), The Jan Wallander and Tom Hedelius Foundation, an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe), the Pershing Square Fund of the Foundations of Human Behavior, The Open Philanthropy Project (2016-152872, 010623-00001), and the NIA/NIH through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to NBER, and R01-AG042568-02 and R56-AG042568-04 to the University of Southern California. CCC was supported by the Intramural Research Program of the NIH/NIDDK and thanks Kevin Hall for informative discussions. PME was funded by Nestlé Nutrition. We thank the DietGen and CHARGE consortia for sharing diet-composition GWAS summary statistics, and we thank 23andMe, Inc., for sharing physical activity GWAS summary statistics. A full list of acknowledgements is provided in Supplementary Information 13
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
No full textDaniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high confidence, loci associated with each phenotype
Why are some entrepreneurs more innovative than others?
No full textEntrepreneurship, Innovation, Business opportunities, Judgment, Decision making, M13, O31, L26,
Technological change: An analysis of the diffusion and implications of e-business technologies
No full textThis is a monograph that presents both a comprehensive literature review and original research results on the diffusion and the implications of e-business technologies. The diffusion of e-business technologies among firms is regarded as part of the ongoing process of technological change and economic development. It is shown that increasing returns to adoption can arise if the technologies do not substitute each other in their functionalities, leading to an endogenous acceleration mechanism of technological development. Hence, the probability to adopt any e- business technology is hypothesized to be an increasing function of previously adopted, related technologies. Early mover advantages can exist until the early mover has exhausted all possibilities of the new technological paradigm that promise positive returns on investment. Thus, history matters for the technological development of a firm and adoption decision today affect the expected value of any other related technology in the future. The existence of the endogenous acceleration mechanism has important implications for the management of new technologies, the performance of enterprises, the development of market structures and entire economies. The theory is empirically tested and supported in four independent inquiries, using two different exceptionally large datasets and different econometric methods. The existence of a growing digital divide among companies is demonstrated for the period between 1994 and 2002. In addition, the adoption of new e-business technologies by firms creates opportunities to conduct innovation, either to reduce the costs for a given output, to create a new product or service, or to deliver products to customers in a way that is new to the enterprise. Hence, it is argued that the adoption of new technologies does have strategic relevance for firms. Empirical evidence is presented showing that e-business technologies are currently an important enabler of innovations. It is found that innovative firms are more likely to grow. Also, e-business related innovations are at the very least not inferior to traditional kinds of innovations in terms of simultaneous occurrence with superior financial performance of enterprises. The study takes an interdisciplinary approach by relating both to the economics and the management literature, with the objective to show complementarities between both research fields and to draw conclusions for both kinds of audiences.Technological change, innovation, diffusion, adoption, multiple related technologies, e-business, ICT, firm performance, endogenous acceleration, competitive advantage
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