Predicting and Optimizing Marketing Performance in Dynamic Markets
- Author(s)
- Daniel Guhl, Friederike Paetz, Udo Wagner, Michel Wedel
- Abstract
Our world is turbulent: ecological, social, political, technological, economic, and competitive business environments change constantly. Consumers have changing preferences, learn, build trust in brands, adopt new products, and are persuaded by advertising. Firms innovate and engage in and respond to competition. Exogenous events, such as changes in economic conditions and regulations, as well as human crises, also cause major shifts in markets. This special issue focuses on novel Marketing data and modern methodologies from different fields (e.g., Operations Research (OR), Statistics, Econometrics, and Computer Science), which help firms understand, utilize, and respond to market dynamics more efficiently. Here we propose a framework comprising analytical methods and data for dynamic markets that is useful for structuring research in this domain. Next, we summarize the history of the Marketing/OR interface. We highlight studies at the Marketing/OR interface from the last decade focusing specifically on dynamic markets and use our proposed framework to identify trends and gaps in the extant literature. After that, we present and summarize the papers of the current special issue and their contributions to the field against the backdrop of our framework and the trends in the literature. Finally, we conclude and discuss which future Marketing/OR research could tackle important issues in dynamic markets.
- Organisation(s)
- Department of Marketing and International Business
- External organisation(s)
- Humboldt-Universität zu Berlin, MODUL University Vienna, Technische Universität Clausthal, University of Maryland, College Park
- Journal
- OR Spectrum
- Volume
- 46
- Pages
- 1-27
- No. of pages
- 27
- ISSN
- 0171-6468
- DOI
- https://doi.org/10.1007/s00291-024-00755-1
- Publication date
- 02-2024
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 502019 Marketing
- Keywords
- ASJC Scopus subject areas
- Marketing
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/predicting-and-optimizing-marketing-performance-in-dynamic-markets(49d52ddc-db3d-4e9d-acb7-ad75beae0765).html