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Eva Cools

Researcher at Katholieke Universiteit Leuven

Publications -  55
Citations -  1067

Eva Cools is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Cognitive style & Learning styles. The author has an hindex of 16, co-authored 55 publications receiving 989 citations. Previous affiliations of Eva Cools include University of Gloucestershire & Ghent University.

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Role of Cognitive Styles in Business and Management: Reviewing 40 Years of Research

TL;DR: A review of cognitive styles research in business and management can be found in this paper, where the authors identify valid and reliable methods of assessment of cognitive style for use in business settings and draw a number of conclusions regarding the current state of Cognitive styles research and promising directions for future research.
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Development and validation of the Cognitive Style Indicator

TL;DR: The main contributions of this study are the further refinement of the analytic-intuitive cognitive style dimension by splitting the analytic pole in a knowing and a planning style and the development of a valid and reliable cognitive style instrument for use in organizations.
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The Hunt for the Heffalump Continues: Can Trait and Cognitive Characteristics Predict Entrepreneurial Orientation?

TL;DR: In this article, the authors compared entrepreneurs with non-entrepreneurs for five characteristics (tolerance for ambiguity, selfefficacy, proactive personality, locus of control, need for achievement) and for cognitive styles.
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Learning in higher education – how cognitive and learning styles matter

TL;DR: The European Learning Styles Information Network (ELSIN) as mentioned in this paper is an international research community that aims to advance understanding of the theory and application of cognitive and learning styles in higher education and other contexts.
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Cognitive styles and person–environment fit: Investigating the consequences of cognitive (mis)fit

TL;DR: In this paper, the authors investigated whether people within similar functions have similar cognitive styles, and what the consequences of cognitive (mis)fit are on three work attitudes, using two large-scale databases (N = 24,267 and N = 2,182).