Decomposing Market Shares - Methodological Foundations and Empirical Application : An Empirical Analysis Exemplified by Market Shares of National Brands, Private Labels, and Retail Chains in Grocery Retailing /
This book presents both the methodological foundations and empirical applications of a decomposition approach developed by the author, which enables the comparative analysis of dependent variables within analytical models. This approach is compatible with various empirical methods, including regress...
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| Format: | eBook |
| Language: | English |
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Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer,
2026.
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| Edition: | 1st ed. 2026. |
| Series: | Jossey-Bass business & management series.
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| Summary: | This book presents both the methodological foundations and empirical applications of a decomposition approach developed by the author, which enables the comparative analysis of dependent variables within analytical models. This approach is compatible with various empirical methods, including regression analysis and structural equation modeling, and allows for the decomposition of causal relationships between independent and dependent variables into distinct components. Using the example of market shares of national brands, private labels, and retail chains, Philipp Brüggemann demonstrates how conventional market share analyses can be enhanced by decomposing them into components based on regular and promotional pricing. The method is characterized by its high transferability to various questions in both academic and practical contexts. This innovative method can be applied not only to market share analysis but also to numerous other relative and absolute key performance indicators in empirical models. The Author Dr. Philipp Brüggemann is a research associate with Univ.-Prof. Dr. Rainer Olbrich at the Chair of Business Administration, especially Marketing, at the FernUniversität in Hagen. His research focuses on topics related to retail, technology, e-commerce, and sustainability. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. |
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| Physical Description: | 1 online resource (169 pages). |
| ISBN: | 9783658490645 (electronic bk.) 3658490640 |