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Künstliche Intelligenz trifft Marketing: Ein generativer Review-Ansatz zur Analyse aktueller Forschungstrends

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  • Buchkremer, Rüdiger

Abstract

Die vorliegende Arbeit untersucht den Einfluss der Künstlichen Intelligenz (KI) auf das Marketing anhand einer automatisierten Analyse von 344 Abstracts aus der Fachliteratur. Durch den Einsatz von KI-Methoden wie Topic Modeling und Sprachmodellen werden zehn zentrale Themenfelder identifiziert, die das breite Spektrum der Anwendungsmöglichkeiten von KI im Marketing aufzeigen. Die Ergebnisse verdeutlichen das enorme Potenzial von KI zur Optimierung von Marketingprozessen und Kundenerlebnissen, werfen aber auch kritische Fragen zu Ethik, Kompetenzen und der Rolle des Forschers auf. Der Artikel liefert wertvolle Impulse für die weitere Erforschung und verantwortungsvolle Gestaltung von KI im Marketing.

Suggested Citation

  • Buchkremer, Rüdiger, 2024. "Künstliche Intelligenz trifft Marketing: Ein generativer Review-Ansatz zur Analyse aktueller Forschungstrends," PraxisWissen - German Journal of Marketing, AfM – Arbeitsgemeinschaft für Marketing, vol. 9(01/2024), pages 6-33.
    • Handle: RePEc:zbw:afmpwm:335555
    DOI: 10.15459/95451.64
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    References listed on IDEAS

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    1. Akira Matsui & Daisuke Moriwaki, 2022. "Online-to-offline advertisements as field experiments," The Japanese Economic Review, Springer, vol. 73(1), pages 211-242, January.
    2. Delphine Caruelle & Poja Shams & Anders Gustafsson & Line Lervik-Olsen, 2022. "Affective Computing in Marketing: Practical Implications and Research Opportunities Afforded by Emotionally Intelligent Machines," Marketing Letters, Springer, vol. 33(1), pages 163-169, March.
    3. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    4. Zhiqin Chen & Zhihao Liao & Deming Qian & Jie Li & Man Fai Leung, 2022. "Design and Analysis of Intelligent Agricultural Monitoring System Based on Biological Intelligence Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, June.
    5. Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
    6. Yuping Liu-Thompkins & Shintaro Okazaki & Hairong Li, 2022. "Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1198-1218, November.
    7. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    8. Youngkeun Choi & Jae W. Choi, 2023. "Assessing the Predictive Performance of Machine Learning in Direct Marketing Response," International Journal of E-Business Research (IJEBR), IGI Global Scientific Publishing, vol. 19(1), pages 1-12, January.
    9. Zahra Ghorbani & Sanaz Kargaran & Ali Saberi & Manijeh Haghighinasab & Seyedh Mahboobeh Jamali & Nader Ale Ebrahim, 2022. "Trends and patterns in digital marketing research: bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 158-172, June.
    10. Mithun S. Ullal & Iqbal Thonse Hawaldar & Suhan Mendon & Nympha Rita Joseph, 2020. "The effect of artificial intelligence on the sales graph in Indian market," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 2940-2954, June.
    11. Chen, Shiuann-Shuoh & Choubey, Bhaskar & Singh, Vinay, 2021. "A neural network based price sensitive recommender model to predict customer choices based on price effect," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
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