ChatGPT Behaviours among Nepalese Users: An Application of Hedonic Motivation System Adoption Model

Authors

  • Mukesh Ray Yadav
  • Laxman Pokhrel Saim College, Nepal

DOI:

https://doi.org/10.3126/jbssr.v8i2.62124

Keywords:

behavioural intention, ChatGPT, hedonic, motivation system adoption mode, Nepali users

Abstract

Drawing from Hedonic Motivation System Adoption Model  (HMSAM), this paper purposes to investigate factors  influencing ChatGPT adoption behaviour among Nepalese users. The paper utilised a cross-sectional survey research design to gather data from 350 users of ChatGPT in Nepal. The researchers employed purposive sampling to select respondents for the paper. To test hypotheses, this paper applied the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. This paper found that Joy and Perceived Usefulness (PU) have a significant influence on Behaviour Intention (BI). Perceived Ease of Use (PEOU) on Confirmation (CON) and Joy. Likewise, PEOU has a significant influence on Control (CON) and Joy. However, CON, curiosity (CU) and Joy do not significantly influence Immersion (IMM). CU does not influence BI and IMM, and PEOU does not influence CU and Perceived Usefulness (PU) among Nepalese ChatGPT users. This paper offers a significant outlook for the developers of ChatGPT to focus on the ease of using and joyfulness of using ChatGPT.

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Author Biographies

Mukesh Ray Yadav

Mr Yadav can be reached at mukeshrayyadav1@gmail.com.

Laxman Pokhrel, Saim College, Nepal

Mr. Pokharel is an MPhil in management and has published several articles in peer-reviewed and indexed journal. His email is laxman.pokhrel@saim.edu.np.

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Published

2023-12-31

How to Cite

Yadav, M. R., & Pokhrel, L. (2023). ChatGPT Behaviours among Nepalese Users: An Application of Hedonic Motivation System Adoption Model. Journal of Business and Social Sciences Research, 8(2), 1–14. https://doi.org/10.3126/jbssr.v8i2.62124

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Section

Articles