1999
DOI: 10.1016/s0304-422x(99)00004-2
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An approach to identifying consensus in a subfield: The case of organizational culture

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Cited by 33 publications
(20 citation statements)
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“…In this research, we used titles as text inputs to de Bakker et al / BIBLIOMETRIC ANALYSIS 295 perform a semi-automated text analysis directed at creating maps of the CSR and CSP databases. We applied a method developed by Carley (1997), which is supported by Automap, an automated text analysis program (Carley, 1997;Hill & Carley, 1999). 6 Title entries from papers in our datasets were converted to a text file, and the text was analyzed using Automap.…”
Section: Methods Of Text Analysismentioning
confidence: 99%
“…In this research, we used titles as text inputs to de Bakker et al / BIBLIOMETRIC ANALYSIS 295 perform a semi-automated text analysis directed at creating maps of the CSR and CSP databases. We applied a method developed by Carley (1997), which is supported by Automap, an automated text analysis program (Carley, 1997;Hill & Carley, 1999). 6 Title entries from papers in our datasets were converted to a text file, and the text was analyzed using Automap.…”
Section: Methods Of Text Analysismentioning
confidence: 99%
“…Therefore, 35 discourse analysis can be applied to study the dominant ideologies and values in the scientific world. The comparison between concepts is important to define and explore the intellectual structure of a given 1 scientific field (Dobers et al, 2000;Hill and Carley, 1999; Ramos Rodríguez and Ruíz Navarro, 2004), to 2 access the influence and scientific impact of different journals, authors and geographic locations to each 3 concept (Baumgartner and Pieters, 2003;Ingwersen, 2000), and to suggest future paths for the development 4…”
Section: The Discourse Analysis About Innovation and Sustainability Imentioning
confidence: 99%
“…However, this is not an issue with our semantic networks because each constitutes a single component. The betweenness centrality of a concept within a semantic network is a direct indicator of its influence [55,65,66]. A key concept with high betweenness centrality controls access to other key concepts in the network [10,62,67,68] and thus serves as a gatekeeper between different domains [69].…”
Section: Betweenness Centralitymentioning
confidence: 99%