scholarly journals Pierre Bourdieu in management and organization studies—A citation context analysis and discussion of contributions

2014 ◽  
Vol 30 (4) ◽  
pp. 532-543 ◽  
Author(s):  
Jost Sieweke
2006 ◽  
Vol 27 (11) ◽  
pp. 1675-1692 ◽  
Author(s):  
Marc H. Anderson

A substantial portion of Karl Weick’s influence on organization studies is based upon his classic book The Social Psychology of Organizing (abbreviated as Organizing). A citation analysis shows the magnitude of this influence compared to five other organization studies classics, and reveals that Organizing continues to be highly cited. A citation context analysis (i.e. content analysis) of all citations to Weick (1979) in three top organization studies journals ( Academy of Management Review, Administrative Science Quarterly, and Organization Studies) shows that 12 concepts account for 67.6% of citations to Organizing, but that the book is cited for a remarkable diversity of additional content as well. Furthermore, a consideration of differences between the concepts cited in the US journals versus Organization Studies reveals several regional differences. Finally, very few citations are critical of Organizing or involve empirical tests. These results hold a variety of implications for future research.


1989 ◽  
Vol 17 (1-2) ◽  
pp. 127-163 ◽  
Author(s):  
Katherine W. McCain ◽  
Kathleen Turner

1980 ◽  
Vol 2 (4) ◽  
pp. 277-301 ◽  
Author(s):  
H. Small ◽  
E. Greenlee

2020 ◽  
Vol 125 (3) ◽  
pp. 2877-2913
Author(s):  
Jodi Schneider ◽  
Di Ye ◽  
Alison M. Hill ◽  
Ashley S. Whitehorn

AbstractThis paper presents a case study of long-term post-retraction citation to falsified clinical trial data (Matsuyama et al. in Chest 128(6):3817–3827, 2005. 10.1378/chest.128.6.3817), demonstrating problems with how the current digital library environment communicates retraction status. Eleven years after its retraction, the paper continues to be cited positively and uncritically to support a medical nutrition intervention, without mention of its 2008 retraction for falsifying data. To date no high quality clinical trials reporting on the efficacy of omega-3 fatty acids on reducing inflammatory markers have been published. Our paper uses network analysis, citation context analysis, and retraction status visibility analysis to illustrate the potential for extended propagation of misinformation over a citation network, updating and extending a case study of the first 6 years of post-retraction citation (Fulton et al. in Publications 3(1):7–26, 2015. 10.3390/publications3010017). The current study covers 148 direct citations from 2006 through 2019 and their 2542 second-generation citations and assesses retraction status visibility of the case study paper and its retraction notice on 12 digital platforms as of 2020. The retraction is not mentioned in 96% (107/112) of direct post-retraction citations for which we were able to conduct citation context analysis. Over 41% (44/107) of direct post-retraction citations that do not mention the retraction describe the case study paper in detail, giving a risk of diffusing misinformation from the case paper. We analyze 152 second-generation citations to the most recent 35 direct citations (2010–2019) that do not mention the retraction but do mention methods or results of the case paper, finding 23 possible diffusions of misinformation from these non-direct citations to the case paper. Link resolving errors from databases show a significant challenge in a reader reaching the retraction notice via a database search. Only 1/8 databases (and 1/9 database records) consistently resolved the retraction notice to its full-text correctly in our tests. Although limited to evaluation of a single case (N = 1), this work demonstrates how retracted research can continue to spread and how the current information environment contributes to this problem.


2016 ◽  
Vol 108 (2) ◽  
pp. 653-671 ◽  
Author(s):  
Metin Doslu ◽  
Haluk O. Bingol

2015 ◽  
Vol 22 (3) ◽  
pp. 327-349 ◽  
Author(s):  
MYRIAM HERNÁNDEZ-ALVAREZ ◽  
JOSÉ M. GOMEZ

AbstractBibliometric calculations currently used to assess the quality of researchers, articles, and scientific journals have serious structural problems; many authors have noted the weakness of citation counts, because they are purely quantitative and do not differentiate between high- and low-citing papers. If a paper’s reputation is simply evaluated according to the number of its citations, then incomplete, incorrect, or controversial articles may be promoted, regardless of their relevancy. Therefore, perverse incentives are generated for researchers who may publish many incorrect or incomplete papers to achieve high impact indexes. It is essential to improve the objective criteria for automatic article-quality assessments. However, to obtain these new criteria, it is necessary to advance the programmed detection of context, polarity, and function of bibliographic references.We present an overview of general concepts and review contributions to the solutions to problems related to these issues, with the purpose of identifying trends and suggesting possible future research directions.


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