The Impact of Enablers & Disablers on Students' Switching Intention from Generative AI Chatbots

  • Ahmed Abdullah AlBahhar
  • , Chigozie Francis Obasi
  • , Ebrima Jaiteh
  • , Isma Javed
  • , Arman Mualana
  • , Ghazanfar Ali Abbasi

Research output: Contribution to conferencePaperpeer-review

Abstract

The invention of ChatGPT in late 2022 has seen increasing use of generative artificial intelligence (GenAI) chatbots in education. Therefore, the research was conducted to understand GenAI chatbot experiences by investigating the impact of Enablers & Disablers on Students' Switching Intention from Generative AI Chatbots (ChatGPT) using push and pull theory. 207 valid Survey responses were collected between April 2024 and May 2024 from students across various study levels starting from high school to doctoral level. The data was analyzed using SPSS and proposed relationships were assessed using SMART-PLS structural equation modeling tool. The study found a positive significant impact of perceived risk and less social interaction on switching intention. If there is continuously less interaction between students and tutors and there are risks associated with using the generative chatbot, students intend to switch away from using this tool.

Original languageEnglish
StatePublished - 2024
Event1st Saudi Conference on Information Systems, SaudiCIS 2024 - Dhahran, Saudi Arabia
Duration: 19 Nov 202421 Nov 2024

Conference

Conference1st Saudi Conference on Information Systems, SaudiCIS 2024
Country/TerritorySaudi Arabia
CityDhahran
Period19/11/2421/11/24

Bibliographical note

Publisher Copyright:
© 2024 1st Saudi Conference on Information Systems, SaudiCIS 2024. All rights reserved.

Keywords

  • ChatGPT
  • Disablers
  • Education
  • Enablers
  • Generative AI
  • Push and Pull theory
  • Social Interaction
  • Switching Intention
  • Technology Risk
  • technology post-adoption

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Business and International Management
  • Information Systems and Management

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