1,720,954 research outputs found
The Empirics of Social Progress: The Interplay between Subjective Well-Being and Societal Performance
Full text linkThough economists have long recognized that GDP is not by itself a measure of societal well-being, most GDP alternatives incorporate direct measures of economic performance. We propose instead an independently constructed measure, a social progress index, focusing exclusively on noneconomic dimensions of societal performance, highlighting three core dimensions—basic human needs, foundations of well-being, and opportunity. GDP and social progress are correlated but distinct, the social progress dimension least related to GDP (opportunity) is strongly related to subjective well-being, and the relationship between social progress and well-being is greater for individuals at lower relative income and educational attainment
Essays on the evaluation of entrepreneurship programs
No full textThesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2016.Cataloged from PDF version of thesis.Includes bibliographical references.This dissertation consists of three essays studying the impact of a relatively recent type of entrepreneurship program (startup accelerators) on the performance of firms, regions, and the selection of early-stage projects in the economy. The first essay explores the impact of startup accelerators on early-stage entrepreneurial activity in their region by exploring the effects of accelerators on the availability and provision of seed and early stage venture capital funding in the local region. The second essay explores the relationship between a startup's founding region, accelerator admission and startup performance. Using data from a leading startup accelerator, I use a fuzzy regression discontinuity framework to evaluate both the overall impact of the program on its portfolio of startups and its heterogeneity based on a startup's founding region characteristics. Startups birthed in neighborhoods with higher levels of entrepreneurial resources derive a larger benefit from admission to MassChallenge, suggesting that founding regions shape a startup's performance and that accelerators change the way in which startup founders are able to access and leverage resources in their home region. The third essay explores the selection mechanisms inside an accelerator program, measuring how variation in the institutional arrangements used in the selection of ideas and ventures impacts how a fixed set of judges evaluate a fixed set of businesses opportunities. We find strong differences in how ideas are evaluated depending on the evaluation scheme. Taken together these essays demonstrate that startup programs impact the growth of new firms through the performance of individual portfolio firms, fostering stronger ecosystems, and shifting which firms are encouraged to grow through their selection procedures.by Daniel Colin Fehder.1. Essays in on the Evaluation of Entrepreneurship Programs: Introduction and Overview -- 2. Accelerators and the Regional Supply of Venture Capital Investment -- 3. Startup Accelerators and Ecosystems: Complements or Substitutes? -- 4. Evaluation of Early-Stage Ventures: Bias across Different Evaluation Regimes.Ph. D
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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