..
Suche
Hinweise zum Einsatz der Google Suche
Personensuchezur unisono Personensuche
Veranstaltungssuchezur unisono Veranstaltungssuche
Katalog plus
Contact
University of Siegen
Unteres Schloss 3 (US-A 149)
D-57068 Siegen
Germany

T: +49 271 740 3040
F: +49 271 740 1 3040
E: paul.marx@uni-siegen.de
 

Publications

  1. Marx, Paul, and André Marchand (2016), "Automated Product Recommendations and Personalized Explanations for Consumers in the Digital Era," Proceedings of the 2016 AMA Winter Marketing Educators’ Conference, 27, Las Vegas, USA: American Marketing Association.
  2. Marx, Paul, and Florentine Frentz (2016), "Impact of Recommender Systems on Customers’ Attitudes and Behavioral Intentions Towards Online Retailers," Proceedings of the 2016 AMA Winter Marketing Educators’ Conference, 27, Las Vegas, USA: American Marketing Association.
  3. Marx, Paul, Gunnar Mau, Hanna Schramm-Klein, and Florentine Frentz (under review), “Understanding Planning for Unplanned Purchases: Antecedents and Exploitation of In-Store Slack”, Submitted to ACR North American Conference: Association of Consumer Research (ACR), Status: under review.
  4. Marx, Paul, André Marchand (working paper), “Using Big Data for Automated Recommendations with Preference-Based Explanations”, Submitted to Marketing Science, Special Issue on Big Data, under review, Status: under review.
  5. Marx, Paul and Florentine Frentz (2015), “Do Recommender Systems Really Help People Make Optimal Choices? The Influence of Personalized Recommender Systems on Choice Efficiency, User Satisfaction, and User–Provider Relationships”, Proceedings of the 44th EMAC Annual Conference, Leuven, Belgium: European Marketing Academy, forthcoming.
  6. Marx, Paul and Frederic Nimmermann (2015), “Online Complaints in the Eye of The Beholder: Optimal Handling of Public Consumer Complaints on the Internet”, Proceedings of the 44th EMAC Annual Conference, Leuven, Belgium: European Marketing Academy, forthcoming.
  7. Marx, Paul and André Marchand (2014), "Eliciting Attribute-based Preferences from Scarce Big Datasets", Proceedings of the 43th EMAC Annual Conference, Valencia, Spain: European Marketing Academy.
  8. Marx, Paul, (2013), “Providing Actionable Recommendations: A Movie Recommendation Algorithm with Explanatory Capability”, Joseph Eul Verlag, 2013, 978-3844102154, 240 pages. [Amazon]
  9. Hennig-Thurau, Thorsten, André Marchand, and Paul Marx (2012), "Can Automated Group Recommender Systems Help Consumers Make Better Choices?", in Journal of Marketing, 76 (5), 89-109. [download]
  10. Marx, Paul, Thorsten Hennig-Thurau, and André Marchand (2010),“Increasing Consumers' Understanding of Recommender Results: A Preference-based Hybrid Algorithm with Strong Explanatory Power”, in Proceedings of the 4th ACM Conference on Recommender Systems RecSys'10. [download]
  11. Marx, Paul (2008), “Extending Conjoint Analysis: Measurement of Individual Consumer Preferences with Respect to Multiple Product Characteristics [Weiterentwicklung der Conjoint-Analyse: Messung individueller Kundenpräferenzen bezüglich multipler Produkteigenschaften]”, Verlag Dr. Müller, 2008, ISBN 978-3-8364-9152-5, 184 pages. [Amazon ]
  12. Eggers, Felix, Henrik Sattler, Thorsten Hennig-Thurau and Paul Marx (2007), “Golden Conjoint: A New Method for Measuring Consumer Preference Structures – A Technical Report”, in Research Papers on Marketing and Retailing, University of Hamburg, 2007.