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Applying co-occurrence text analysis with ALCESTE to studies of impression management

Illia, Laura, Sonpar, Karan and Bauer, M. W. (2014) Applying co-occurrence text analysis with ALCESTE to studies of impression management. British Journal of Management, 25 (2). pp. 352-372. ISSN 1045-3172

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Abstract

This paper reviews the potential role of co-occurrence text analysis using ALCESTE, a computerized text analysis program. Using an illustrative case study from the biometric industry, we demonstrate that this method offers a number of advantageous features, including the provision of visual outputs which are useful for interpreting results, the ability to study longitudinally the effectiveness of impression management at the inter-organizational level of analysis and the possibility of studying large textual data sets without using predefined dictionaries. Meanwhile, key limitations of the method include its limited versatility, its tedious data-cleaning process and its ineffectiveness in identifying the centrality or tonality of the discourse. Our overall conclusion is that the introduction and more widespread use of this method in management is timely, particularly for scholars interested in studying narrative fidelity and frame amplification.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/journal/10.1111/%28...
Additional Information: © 2012 The Author(s). British Journal of Management © 2012 British Academy of Management
Library of Congress subject classification: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Sets: Departments > Methodology
Departments > Social Psychology
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Funders: Swiss National Science Foundation
Date Deposited: 05 Nov 2012 12:21
URL: http://eprints.lse.ac.uk/47283/

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