Qualitative Comparative Analysis (QCA) and Configurational Thinking in Management Studies
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Book Details
Format
Hardback or Cased Book
ISBN-10
3631636164
ISBN-13
9783631636169
Edition
New
Publisher
Peter Lang AG
Imprint
Peter Lang AG
Country of Manufacture
DE
Country of Publication
GB
Publication Date
Jun 27th, 2013
Print length
185 Pages
Weight
372 grams
Dimensions
21.70 x 15.20 x 1.70 cms
Ksh 8,300.00
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Qualitative comparative analysis (QCA) has emerged as a new methodological tool in management studies which is ideally suited to test configurational theories. In this work, the peculiarities of QCA in large-N designs are comprehensively analysed for the first time. Additionally, an illustrative study using the fuzzy set version of QCA is conducted.
This study was awarded the Preis des Präsidiums für ausgezeichnete Dissertationen der Universität Paderborn as well as the Preis der Unternehmergruppe Ostwestfalen für hervorragende Dissertationen.
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.
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.
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