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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.
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.
