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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

The Effect of ChatGPT Factors & Innovativeness on Switching Intention : Using Theory of Reasoned Action (TRA)

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.8, pp.83-96
https://doi.org/https://doi.org/10.15722/jds.21.08.202308.83
Hee-Young CHO
Hoe-Chang YANG
Byoung-Jo HWANG

Abstract

Purpose: This study examined the relationship between the factors (Credibility, Usability) and user Innovativeness of the ChatGPT on TRA (Theory of Reasoned Action; Subjective Norm, Attitude) and Switching Intention. TRA and Innovation Diffusion Theory (IDT) were used. Research design, data and methodology: From April 26 to 27, 2023, an online panel survey agency was commissioned to conduct a survey of GhatGPT users in their 20s and 40s in Korea, and a total of 210 people were used for the final analysis. Verification of the research model was performed using SPSS and AMOS. Results: First, ChatGPT factors (Credibility, Usability) were found to have positive effects on TRA (Subjective Norm, Attitude). Second, ChatGPT user Innovativeness was found to have a positive effect on TRA (Subjective Norm, Attitude). Third, ChatGPT users' TRA (Subjective Norm, Attitude) were found to have positive effects on Switching Intention. Conclusions: These results mean that the superior Usability and Credibility of ChatGPT and the Innovativeness of users have a significant effect on the Switching Intention from existing Portal Service (Naver, Google, Daum, etc.) to ChatGPT. Generative AI such as ChatGPT should strive to develop various services such as improving the convenience of functions so that innovative users can use them easily and conveniently in order to provide services that meet expectations.

keywords
Retail Industry, Online Platform, ChatGPT, Innovativeness, Switching Intention

The Journal of Distribution Science