Search Conferences

Type in any word, words or author name. This searchs through the abstract title, keywords and abstract text and authors. You may search all conferences or just select one conference.


 All Conferences
 EMAC 2019 Annual Conference
 EMAC 2020 Annual Conference
 EMAC 2020 Regional Conference
 EMAC 2021 Annual Conference

EMAC 2019 Annual Conference


Market Evolution Mapping
(A2019-9230)

Published: May 28, 2019

AUTHORS

Maximilian Matthe, Goethe-University Frankfurt; Daniel Ringel, University of North Carolina at Chapel Hill; Bernd Skiera, Goethe-University Frankfurt, Germany

KEYWORDS

Market Structure Analysis; Data Visualization; Marketing Dynamics

ABSTRACT

The study of marketing variables over time provides valuable insights into their timing, trajectories and temporal persistence. What is relatively straight forward for individual variables becomes a daunting task in competitive market structure analysis where changes among hundreds of objects (e.g., firms, brands or products) with thousands of relationships must be tracked over time. Although data visualization facilitates such analysis, extant models are unable to visualize structural changes over time. Herein we propose the first model capable of visualizing competitive market structure over time. We apply our model to customer reviews on Amazon.com to study the emergence of new sub-markets.