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Sustainable Artificial Intelligence im Marketing am Beispiel des SDG 12

Author

Listed:
  • Isensee, Carmen
  • Griese, Kai-Michael
  • Teuteberg, Frank

Abstract

Der vorliegende Beitrag fokussiert die Bedeutung nachhaltigkeitsorientierter Unternehmenskultur für den Einsatz von künstlicher Intelligenz im Marketing. Spezifischer skizzieren wir die Einflussmöglichkeiten auf den Einsatz nachhaltiger künstlicher Intelligenz zur Förderung des Sustainable Development Goals 12 (Nachhaltige/r Produktion & Konsum). In einem diskursiven Ansatz führt dieser Beitrag Erkenntnisse aus der Literatur zur nachhaltigkeitsorientierten Unternehmenskultur, nachhaltigen künstlicher Intelligenz und dem Nachhaltigkeitsmarketing zusammen und bildet diese mithilfe des St. Galler Managementmodells ab.

Suggested Citation

  • Isensee, Carmen & Griese, Kai-Michael & Teuteberg, Frank, 2022. "Sustainable Artificial Intelligence im Marketing am Beispiel des SDG 12," PraxisWISSEN Marketing: German Journal of Marketing, AfM – Arbeitsgemeinschaft für Marketing, vol. 7(01/2022), pages 33-46.
    • Handle: RePEc:zbw:afmpwm:266164
    DOI: 10.15459/95451.54
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    References listed on IDEAS

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    1. Nenad Tomašev & Julien Cornebise & Frank Hutter & Shakir Mohamed & Angela Picciariello & Bec Connelly & Danielle C. M. Belgrave & Daphne Ezer & Fanny Cachat van der Haert & Frank Mugisha & Gerald Abil, 2020. "AI for social good: unlocking the opportunity for positive impact," Nature Communications, Nature, vol. 11(1), pages 1-6, December.
    2. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    3. Nuttasorn Ketprapakorn & Sooksan Kantabutra, 2019. "Culture Development for Sustainable SMEs: Toward a Behavioral Theory," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    4. Hamed Nozari & Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr, 2021. "The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry," Future Internet, MDPI, vol. 13(10), pages 1-18, October.
    5. Krystyna Jarek & Grzegorz Mazurek, 2019. "Marketing and Artificial Intelligence," Central European Business Review, Prague University of Economics and Business, vol. 2019(2), pages 46-55.
    6. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    7. JinHyo Joseph Yun & Dooseok Lee & Heungju Ahn & Kyungbae Park & Tan Yigitcanlar, 2016. "Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence," Sustainability, MDPI, vol. 8(8), pages 1-20, August.
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