Publications | Veröffentlichungen

Journals | Zeitschriften (peer reviewed)

• Jungbluth, Michael; Ulrichshofer, Anna; Schlereth, Christian; In-Store-Customer-Analytics - Messansätze zum besseren Verständnis des ungenutzten Konversionspotenzials; in: Marketing Review St. Gallen; S. 54 - 62; 02/2023;

Books | Fachbücher (peer/editorial reviewed)

• Jungbluth, Michael; Transaktionsbasierte Kundenbewertung unter Wettbewerb - Der Einfluss einseitiger Wettbewerbsstrukturen am Beispiel der Einkaufsstättenwahl; 1. Auflage; Dr. Kovac; 02/2010;

Conference Papers | Konferenzbeiträge (peer reviewed)

• Jungbluth, Michael; Ulrichshofer, Anna; Cato, Patrick; Kaiser, Carolin; Symposium "Navigating Trust in the Digital Realm: Trust in AI and Customer Relations": Building Trust in Retail AI: The Role of Digital Sales Assistant Features in Enhancing Recommendation Adherence and Trust; 53rd DGPs Congress / 15. ÖGP Conference; 09/2024;
• Jungbluth, Michael; Cato, Patrick; Ulrichshofer, Anna; Kaiser, Carolin; Digital Sales Assistants in ‘Bricks & Clicks’ – Deciphering Relative Feature Importance for Shopper Engagement; EMAC Annual Conference 2024; 05/2024;
• Jungbluth, Michael; Ulrichshofer, Anna; Schlereth, Christian; Using In-Store Analytics To Bridge The Purchase Intention And Behavior Gap At The Point Of Sale; ISMS Marketing Science Conference; 06/2023;
• Jungbluth, Michael; Ulrichshofer, Anna; Schlereth, Christian; Using In-Store Analytics to Bridge the Purchase Intention and Behavior Gap at the Point of Sale; EMAC Annual Conference 2023; 05/2023;
• Jungbluth, Michael; Ulrichshofer, Anna; Patterns of In-Store Behavior and Its Implications on Customer's Shopping Baskets; ISMS Marketing Science Conference 2022; 06/2022;
• Jungbluth, Michael; Büschken, Joachim; Customer Scoring and Competition – The Case of Retail Format Competition; INFORMS Marketing Science Conference; 06/2009;
• Jungbluth, Michael; Büschken, Joachim; A Simulation-Based Performance Comparison of Stochastic and Naïve Models of Consumer Behavior; INFORMS Marketing Science Conference; 06/2008;
• Jungbluth, Michael; Büschken, Joachim; The Importance of Drop-Out Modeling in an Always-a-Share Transaction Setting – An Explicit vs. Implicit Modeling Approach; INFORMS Marketing Science Conference; 06/2007;

Working Papers | Working Papers (peer reviewed)

• Jungbluth, Michael; Joachim, Büschken; Customer Scoring and Competition - The Case of Retail Format Competition; Available at SSRN; 02/2009;

Magazines/newspapers/TV/Online | Zeitungen/Zeitschriften/TV/Online

• Jungbluth, Michael; Stummeyer, Christian; Kunden durch KI besser verstehen: Neue Technologien am Point-of-Sale; Handelsblatt Journal; 10/2022;

Other activities | Sonstige Aktivitäten

Research Projekts | Forschungsprojekte

• Die Ethik der Digital Companions: Moralische Implikationen hybrider Teams (DiCoMo); 2025-01-01 - 2027-12-31;
• Optimizing Digital Sales Assistants for Retail; 2024-08-01 - 2024-12-31;
• Modernisierung und Digitalisierung des THI-Retail Lab; 2023-02-02 - 2024-12-31;
• Studien zur KI in vertrieblichen Konversationen; 2022-12-15 - 2024-12-31;
• Einsatz von digitalen Avataren am stationären Point-of-Sale; 2022-11-25 - 2023-03-31;
• Potentiale der KI-gestützten Gesprächsanalyse; 2022-05-30 - 2022-09-30;

Stand: 21.11.2024 05:00:08