To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry

被引:4
|
作者
Osadchaya, Elena [1 ]
Marder, Ben [2 ]
Yule, Jennifer A. [2 ]
Yau, Amy [3 ]
Lavertu, Laura [4 ]
Stylos, Nikolaos [5 ]
Oliver, Sebastian [6 ]
Angell, Rob [6 ]
de Regt, Anouk [7 ]
Gao, Liyu [2 ]
Qi, Kang [2 ]
Zhang, Will Zhiyuan [2 ]
Zhang, Yiwei [2 ]
Li, Jiayuan [2 ]
Alrabiah, Sara [8 ]
机构
[1] Univ Leicester, Sch Business, Leicester LE2 1RQ, England
[2] Univ Edinburgh, Business Sch, Edinburgh EH8 9JS, Scotland
[3] Cardiff Univ, Cardiff Business Sch, Cardiff CF10 3EU, Wales
[4] Strathclyde Business Sch, Glasgow G4 0QU, Scotland
[5] Univ Bristol, Business Sch, Bristol BS8 1SD, England
[6] Univ Southampton, Southampton Business Sch, Southampton SO17 1BJ, England
[7] Univ Utrecht, Sch Econ, NL-3584EC Utrecht, Netherlands
[8] Inst Publ Adm, Riyadh 11141, Saudi Arabia
关键词
ChatGPT; Generative AI; Paradoxes; Advertising; Chatbots; CREATIVITY;
D O I
10.1016/j.bushor.2024.05.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Generative AI (GenAI) technology is evoking both excitement and fear about its potential impact across a host of industriesdincluding advertising, where it is expected to have a significant disruptive effect. This article utilizes the paradox lens to explore the implications of text-to-text GenAI in the form of ChatGPT for the advertising industry. Drawing on 48 interviews with advertising professionals, we identify three operational paradoxes that are associated with conducting research, creativity, efficiency, and one psychological paradox related to work identity. To gain a competitive advantage, we urge practitioners to adopt a confrontation-based coping strategy to navigate these paradoxes. This can be mobilized via an ambidexterity or contingency paradox management approach. We outline specific tactics in this article. (c) 2024 Kelley School of Business, Indiana University. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/ licenses/by/4.0/).
引用
收藏
页码:571 / 581
页数:11
相关论文
共 50 条
  • [1] ChatGPT Enigma: Navigating the Jumble of Surgical Generative AI
    Ray, Partha Pratim
    [J]. INDIAN JOURNAL OF SURGERY, 2024,
  • [2] The Impact of Generative AI and ChatGPT on Creating Digital Advertising Campaigns
    Golab-Andrzejak, Edyta
    [J]. CYBERNETICS AND SYSTEMS, 2023,
  • [3] ChatGPT, AI Advertising, and Advertising Research and Education
    Huh, Jisu
    Nelson, Michelle R.
    Russell, Cristel Antonia
    [J]. JOURNAL OF ADVERTISING, 2023, 52 (04) : 477 - 482
  • [4] What ChatGPT and generative AI mean for science
    Chris Stokel-Walker
    Richard Van Noorden
    [J]. Nature, 2023, 614 (7947) : 214 - 216
  • [5] ChatGPT and Generative AI Tools for Learning and Research
    Kim, Bohyun
    [J]. Computers in Libraries, 2023, 43 (06) : 41 - 42
  • [6] ChatGPT and Generative AI Tools: Theft of Intellectual Labor?
    Strowel, Alain
    [J]. IIC-INTERNATIONAL REVIEW OF INTELLECTUAL PROPERTY AND COMPETITION LAW, 2023, 54 (4) : 491 - 494
  • [7] ChatGPT: tackle the growing carbon footprint of generative AI
    Jiafu An
    Wenzhi Ding
    Chen Lin
    [J]. Nature, 2023, 615 : 586 - 586
  • [8] ChatGPT: tackle the growing carbon footprint of generative AI
    An, Jiafu
    Ding, Wenzhi
    Lin, Chen
    [J]. NATURE, 2023, 615 (7953) : 586 - 586
  • [9] Regulating ChatGPT and other Large Generative AI Models
    Hacker, Philipp
    Engel, Andreas
    Mauer, Marco
    [J]. PROCEEDINGS OF THE 6TH ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2023, 2023, : 1112 - 1123
  • [10] Guest Editorial Education in the World of ChatGPT and Generative AI
    Tan, Seng Chee
    Wijekumar, Kay
    Hong, Huaqing
    Olmanson, Justin
    Twomey, Robert
    Sinha, Tanmay
    [J]. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2024, 17 : 2062 - 2064