“Chat-Up”: The role of competition in street-level bureaucrats' willingness to break technological rules and use generative pre-trained transformers (GPTs)

Neomi Frisch-Aviram, Gabriela Spanghero Lotta, Luciana Jordão de Carvalho

Research output: Contribution to journalArticlepeer-review

Abstract

Organizations worldwide are concerned about workers using generative pretrained transformers (GPTs), which can generate human-like text in seconds at work. These organizations are setting rules on how and when to use GPTs. This article focuses on street-level bureaucrats' (SLBs) intentions to use GPTs even if their public organization does not allow its use (tech rule-breaking). Based on a mixed-methods exploratory design, using focus groups (N = 14) and a survey experiment (N = 279), we demonstrate that SLBs intend to break the rules and use GPTs when their competitors from the private sector have access to artificial intelligence (AI) tools. We discuss these findings in the context of hybrid forms of public management and the Promethean moment of GPTs.

Original languageEnglish
JournalPublic Administration Review
DOIs
StateAccepted/In press - 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 American Society for Public Administration.

ASJC Scopus subject areas

  • Sociology and Political Science
  • Public Administration
  • Marketing

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