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Antecedents and Consequences of Technostress in Generative AI: Focused on ChatGPT Users

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(7), pp.147~157
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 22, 2025
  • Accepted : June 30, 2025
  • Published : July 31, 2025

Yujin Kim 1 Hyung-Seok Lee 1

1충북대학교

Accredited

ABSTRACT

This study aims to examine the impact of technostress on continuous intention to use and work productivity in the context of ChatGPT, a representative service of generative AI. Six factors were identified as antecedents of technostress: IT mindfulness, digital literacy, privacy concerns, information reliability, customer service reliability, and web technology reliability. The findings indicate that digital literacy, privacy concerns, information reliability, and web technology reliability significantly affect technostress, whereas IT mindfulness and customer service reliability do not. Additionally, technostress has a significant positive effect on both continuous intention to use and work productivity. These results offer valuable implications for generative AI service providers, enabling them to better comprehend users’ technostress and sustained usage behavior, and to refine their strategic approaches accordingly.

Citation status

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