Improving ChatGPT's Competency in Generating Effective Business Communication Messages: Integrating Rhetorical Genre Analysis into Prompting Techniques

6Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This study explores how prompting techniques, especially those integrated with rhetorical analysis results, may improve the effectiveness of artificial intelligence (AI)-generated business communication messages. I conducted an experiment to assess the effectiveness of these prompting techniques in the context of crafting a negative message generated with ChatGPT 3.5 (n = 85). A multiple regression was calculated to explore prompting techniques’ impact on the negative message grades and how each technique influences the message grade. The results (F(4, 80) = 31.84, p

Cite

CITATION STYLE

APA

Wang, J. (2024). Improving ChatGPT’s Competency in Generating Effective Business Communication Messages: Integrating Rhetorical Genre Analysis into Prompting Techniques. Journal of Technical Writing and Communication, 54(4), 369–395. https://doi.org/10.1177/00472816241260033

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free