On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice

Renana Peres, Martin Schreier, David Schweidel and Alina Sorescu

International Journal of Research in Marketing, 2023, vol. 40, issue 2, 269-275

Abstract: How does ChatGPT, and other forms of Generative Artificial Intelligence (GenAI) affect the way we have been conducting—and evaluating—academic research, teaching, and business practice? What are the implications for the theory and practice of marketing? What are the opportunities and threats, and what are some interesting avenues for future research? This editorial aims to kick off an initial discussion and stimulate research that will help us better understand how the marketing field can fully exploit the potential of GenAI and effectively cope with its challenges.

Keywords: ChatGPT; Generative AI; Artificial intelligence; LLMs (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167811623000162
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ijrema:v:40:y:2023:i:2:p:269-275

DOI: 10.1016/j.ijresmar.2023.03.001

Access Statistics for this article

International Journal of Research in Marketing is currently edited by Roland Rust

More articles in International Journal of Research in Marketing from Elsevier
Bibliographic data for series maintained by Catherine Liu ().