A few days left to submit your research paper to this #SBUR Special Issue: ✨ THE VALUE OF USER GENERATED DATA FOR MANAGERIAL DECISION MAKING ✨ Edited by Martin Klarmann (KIT) together with guest editors Friederike Paetz (TU Clausthal), Alexa Burmester (Kühne Logistics University) and Raoul Kübler (ESSEC Business School) 👇
📣 👨💻 Call for Papers: The Value of User Generated Data for Managerial Decision Making #SBUR Schmalenbach Journal of Business Research Special Issue Edited by: Martin Klarmann (Karlsruher Institut für Technologie (KIT)) Friederike Paetz (Technical University of Clausthal) Alexa Burmester (Kuehne Logistics University) Raoul Kübler (ESSEC Business School) With this special issue on “The Value of User Generated Data for Managerial Decision Making,” Schmalenbach Journal of Business Research invites submissions of papers that contribute to the theme of the 2024 Conference of the Working Group “Data Analysis and Classification in Marketing (AG MARKETING)” within the Gesellschaft für Klassifikation (Data Science Society) e.V., hosted by Kühne Logistic University in Hamburg from May 10 to May 11, 2024. In recent years, the rapid advancements in Artificial Intelligence (#AI) technology have opened up new avenues for leveraging User Generated Content (#UGC) to enhance marketing strategies. This special issue aims to explore the potential of such synergies and shed light on the emerging trends, challenges, and opportunities in this evolving landscape. The special issue intends to delve into several key areas of interest. Firstly, investigating how businesses can effectively leverage current developments in AI to tap into the vast pool of UGC and utilize it as a valuable resource for improving marketing decision-making. Secondly, exploring the integration of UGC and AI tools to proxy, enrich, or replace existing scale-based measures used to depict customer mindset metrics. Furthermore, the studying the influence of UGC on consumer decision-making and developing an understanding of the types of UGC that are most relevant for specific consumer segments. (...) This call for papers relates to, for example, the following research questions: 🔸 Which User Generated Content can solve which marketing problems? 🔹 How can we track and trace customer satisfaction through User Generated Content? 🔸 How can we approximate established customer mindset metrics through User Generated Content? 🔹 What is the role of User Generated Content in customer decision making and how can we understand its relevance for different customer segments? 🔸 How can we unveil customer insights through image data analysis? 🔹 Does AI have a WTP and what does it represent? 🔸 How can we advance survey research with the help of Generative AI and Large Language Models? ➡ For details, please download the complete call here https://lnkd.in/eKn6V6aJ 📅 Submit until 31 August, 2024 Alfred Wagenhofer, Marina Fiedler, Tilo Böhmann, Tobias Kretschmer, Prof. Dr. Jana Oehmichen, Jörg Rocholl, Martin Spann, Prof. Dr. Thomas S. Spengler, Uriel Stettner, Hervé Stolowy, Kristina Vaarst Andersen, Guido Voigt, Michael Weber, Dr. Florian Zapkau, Thomas Gehrig