nep-sog New Economics Papers
on Sociology of Economics
Issue of 2014‒07‒05
three papers chosen by
Jonas Holmström
Swedish School of Economics and Business Administration

  1. Do open access articles in economics have a citation advantage? By Wohlrabe, Klaus; Birkmeier, Daniel
  2. What Drives Academic Data Sharing? By Benedikt Fecher; Sascha Friesike; Marcel Hebing
  3. The Coauthorship Network Analysis of the Norwegian School of Economics By Belik, Ivan; Jörnsten, Kurt

  1. By: Wohlrabe, Klaus; Birkmeier, Daniel
    Abstract: We investigate whether articles in economics that are freely available on the web have a citation advantage over articles with a gated access. Our sample consists of articles from 2005 from 13 economic journals (including the top five journals). In addition to standard mean comparisons we also use a negative-binomial regression model with several covariates to control for potential selection effects and quality bias. Using citation data from three different databases (Web of Science, RePEc and Google Scholar) we show that articles that are freely available on the internet have indeed a significantly higher citation count.
    Keywords: Open Access, Citations, Web of Science, RePEc, Google Scholar
    JEL: A12 A14
    Date: 2014–06–24
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:56842&r=sog
  2. By: Benedikt Fecher; Sascha Friesike; Marcel Hebing
    Abstract: Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher's point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.
    Keywords: Data Sharing, Academia, Systematic Review, Research Policy, Knowledge Commons, Crowd Science, Commons-based Peer Production, SOEP
    JEL: C81 C82 D02 H41 L17 Z13
    Date: 2014
    URL: http://d.repec.org/n?u=RePEc:diw:diwsop:diw_sp655&r=sog
  3. By: Belik, Ivan (Dept. of Business and Management Science, Norwegian School of Economics); Jörnsten, Kurt (Dept. of Business and Management Science, Norwegian School of Economics)
    Abstract: We construct the coauthorship network based on the scientific collaboration between the faculty members at the Norwegian School of Economics (NHH) and based on their international academic publication experience. The network structure is based on the NHH faculties’ publications recognized by the ISI Web of Science for the period 1950 – Spring, 2014. The given network covers the publication activities of the NHH faculty members (over six departments) based on the information retrieved from the ISI Web of Science in Spring, 2014. In this paper we analyse the constructed coauthorship network in different aspects of the theory of social networks analysis.
    Keywords: Coauthorship networks; social networks analysis
    JEL: Z13
    Date: 2014–05–22
    URL: http://d.repec.org/n?u=RePEc:hhs:nhhfms:2014_020&r=sog

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