IDEAS home Printed from https://ideas.repec.org/a/zbw/afmpwm/266164.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/266164/1/1820742938.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15459/95451.54?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Nuttasorn Ketprapakorn & Sooksan Kantabutra, 2019. "Culture Development for Sustainable SMEs: Toward a Behavioral Theory," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    2. Tan Yigitcanlar, 2021. "Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary," Sustainability, MDPI, vol. 13(24), pages 1-9, December.
    3. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    4. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," NachhaltigkeitsManagementForum | Sustainability Management Forum, Springer, vol. 29(3), pages 217-230, December.
    5. Henrik Skaug Sætra, 2021. "A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    6. Nasir, Osama & Javed, Rana Tallal & Gupta, Shivam & Vinuesa, Ricardo & Qadir, Junaid, 2023. "Artificial intelligence and sustainable development goals nexus via four vantage points," Technology in Society, Elsevier, vol. 72(C).
    7. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    8. Shin-Cheng Yeh & Ai-Wei Wu & Hui-Ching Yu & Homer C. Wu & Yi-Ping Kuo & Pei-Xuan Chen, 2021. "Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-34, August.
    9. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    10. Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
    11. Basma Hamrouni & Abdelhabib Bourouis & Ahmed Korichi & Mohsen Brahmi, 2021. "Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability," Sustainability, MDPI, vol. 13(17), pages 1-28, September.
    12. Scott Robbins & Aimee van Wynsberghe, 2022. "Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future," Sustainability, MDPI, vol. 14(8), pages 1-11, April.
    13. David Mhlanga, 2022. "Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    14. Denicolai, Stefano & Zucchella, Antonella & Magnani, Giovanna, 2021. "Internationalization, digitalization, and sustainability: Are SMEs ready? A survey on synergies and substituting effects among growth paths," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    15. Steve J. Bickley & Benno Torgler, 2021. "Behavioural Economics, What Have we Missed? Exploring “Classical” Behavioural Economics Roots in AI, Cognitive Psychology, and Complexity Theory," CREMA Working Paper Series 2021-21, Center for Research in Economics, Management and the Arts (CREMA).
    16. Samah Nassar, 2021. "Promote Sustainable AI to Limit the Ethical and Technological Futuristic Issues," Scientia Moralitas Journal, Scientia Moralitas, Research Institute, vol. 6(2), pages 1-6, December.
    17. Diane A. Isabelle & Mika Westerlund, 2022. "A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    18. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    19. Lara Waltersmann & Steffen Kiemel & Julian Stuhlsatz & Alexander Sauer & Robert Miehe, 2021. "Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    20. Bernardo Nicoletti & Andrea Appolloni, 2023. "Artificial Intelligence for the Management of Servitization 5.0," Sustainability, MDPI, vol. 15(14), pages 1-13, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:afmpwm:266164. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://arbeitsgemeinschaft.marketing/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.