Qualitative comparative analysis (QCA) – especially its fuzzy set version – has emerged as a new methodological tool in management studies which is ideally suited to test configurational theories. For the first time, the peculiarities of QCA in large-N designs are comprehensively analysed. Based on a systematic compilation of 145 empirical QCA studies valuable insights for the use of QCA as a quantitative technique are presented. For example, an innovative formula is developed which can substantially improve future model specifications. In a next step, the potential of QCA in management research is outlined by tracing configurational theories in a range of disciplines including strategy, HRM, marketing, and international business. This tour d’horizon through management studies highlights the wide application area of the methodology. Finally, an illustrative study is conducted using the fuzzy set version of QCA.
Design: © Olaf Glöckler, Atelier Platen, Friedberg Cover Illustrations: © Dr. Kai Kühne, Düsseldorf, 2013. Library of Congress Cataloging-in-Publication Data Schulze-Bentrop, Conrad, 1981- Qualitative comparative analysis (QCA) and configurational thinking in management studies / Conrad Schulze-Bentrop. — 1 Edition. pages cm Ph. D. Universität Paderborn 2011 Includes bibliographical references and index. ISBN 978-3-631-63616-9 1. Management—Research—Methodology. 2. Social sciences—Com- parative method. I. Title. HD30.4.S378 2013 658.0072'1—dc23 2013017112 D 466 ISBN 978-3-631-63616-9 © Peter Lang GmbH Internationaler Verlag der Wissenschaften Frankfurt am Main 2013 All rights reserved. PL Academic Research is an Imprint of Peter Lang GmbH. Peter Lang – Frankfurt am Main · Bern · Bruxelles · New York · Oxford · Warszawa · Wien All parts of this publication are protected by copyright. Any utilisation outside the strict limits of the copyright law, without the permission of the publisher, is forbidden and liable to prosecution. This applies in particular to reproductions, translations, microfilming, and storage and processing in electronic retrieval systems. www.peterlang.de
You are not authenticated to view the full text of this chapter or article.
This site requires a subscription or purchase to access the full text of books or journals.
Do you have any questions? Contact us.Or login to access all content.