Please use this identifier to cite or link to this item: http://library.ediindia.ac.in:8181/xmlui//handle/123456789/985
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dc.contributor.authorNoel, Terry
dc.contributor.authorErskine, Laura
dc.date.accessioned2015-06-17T05:45:36Z
dc.date.available2015-06-17T05:45:36Z
dc.date.issued2013-03
dc.identifier.citationhttp://joe.sagepub.com/content/22/1/1.refs.htmlen_US
dc.identifier.urihttp://hdl.handle.net/123456789/985
dc.description.abstractTo provide a naturalistic, empirical analysis of entrepreneurial decision-making through textual analysis, DICTION is used to analyse student journal entries made in conjunction with an entrepreneurship simulation used widely in teaching entrepreneurship. Concrete terms are used as a proxy for action orientation and cognition-related words as a proxy for analytical orientation. Being disposed toward cognitive activity instead of concrete action detracts from performance. To the degree that one’s use of language reflects underlying thought patterns, thinking concretely is a desirable trait for entrepreneurs. This article contributes to research conducted in a naturalistic environment and allows for a closer examination of cognitive processes by analysing the kinds of words used. The article also introduces CATA as a viable methodological tool for the entrepreneurship domain.en_US
dc.description.sponsorshipCentre for Research in Entrepreneurship Education and Developmenten_US
dc.language.isoenen_US
dc.publisherSage Publicationsen_US
dc.subjectEntrepreneurshipen_US
dc.subject.otherDecision-Making
dc.subject.otherCognitive Processes
dc.subject.otherAction Orientation
dc.subject.otherComputer-Aided Text Analysis
dc.subject.otherBizCafe
dc.titleThe Silent Story: Using Computer-Aided Text Analysis to Predict Entrepreneurial Performanceen_US
dc.typeArticleen_US
Appears in Collections:March Vol.22 No.(1)

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