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Cited by 474

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda

Kshetri, Nir, Dwivedi, Yogesh K., Davenport, Thomas H., Panteli, Niki·2024·International Journal of Information Management

Abstract

While all functional areas in organizations are benefiting from the recent development in generative artificial intelligence (GAI)

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Cites

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Citations

Cites

Show all 34 references

Research works printed but not linked: 12

  1. Cromwell, 2023, Discovering Where ChatGPT can create value for your company, Harvard Business Review
  2. Davenport, 2022, Hyper-personalization for customer engagement with artificial intelligence, Management and Business Review, 2
  3. Davenport, 2023, How to train generative AI using your company’s data, Harvard Business Review
  4. IEEE Spectrum , (2021). How computers can finally detect sarcasm. Podcast transcript, July 01, 〈https://hbr.org/2023/07/how-to-train-generative-ai-using-your-companys-data〉.
  5. Iles, V. , (2020). The total economic impact™ of IBM Watson assistant: Cost savings and business benefits enabled by Watson assistant (pp. 1–24). 〈https://www.ibm.com/watson/assets/duo/pdf/watson_assistant/The_Total_Economic_Impact_of_IBM_Watson_Assistant-March_2020_v3.pdf〉. Accessed 6 January 2021.
  6. Kshetri, 2023, Generative artificial intelligence and the economics of effective prompting, IEEE Computer
  7. Marketing Science Institute, (2016) Research priorities 2016–2018 marketing science institute, Cambridge, MA 〈http://www.msi.org/uploads/articles/MSI_RP16–18.pdf〉.
  8. Rogers, 1963, What are innovators like?, Theory into Practice, 2, 252, 10.1080/00405846309541872 · doi:10.1080/00405846309541872
  9. Sitecore , (2023). Marketers Quickly Embracing AI Technologies like ChatGPT, diverting from Metaverse Programs, Survey Finds, May 9, 〈https://www.sitecore.com/company/newsroom/press-releases/2023/05/marketers-quickly-embracing-ai-technologies-like-chatgpt-diverting-from-metaverse-programs-survey〉.
  10. Smith, 2006, Creating and using customer insight: 12 Rules of best practice, Journal of Medical Marketing, 6, 135, 10.1057/palgrave.jmm.5050013 · doi:10.1057/palgrave.jmm.5050013
  11. StreetInsider.com , (2023) Nearly three-quarters of all marketing departments use generative AI tools, Botco.ai Survey Finds, May 4, 〈https://www.streetinsider.com/Press+Releases/Nearly+Three-Quarters+of+All+Marketing+Departments+Use+Generative+AI+Tools%2C+Botco.ai+Survey+Finds/21611019.html〉.
  12. The Conference Board , (2023) Survey: AI usage for marketers and communicators, August 3, 〈https://www.conference-board.org/topics/AI-for-business/press/AI-in-marketing-and-communications〉.

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Metadata

Authors
Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N.
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2024-04
Volume
75
Pages
102716
ISSN
0268-4012 (ISSN-L)
OpenAlex
W4387745359
Cited by
474
References
34
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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CoChat. (2026). Citation check: Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2023.102716
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Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N. (2024). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2023.102716

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.