Assessing the Success of Artificial Intelligence Tools: an Evaluation of ChatGPT Using the Information System Success Model

Ugljesa Marjanovic (), Gyula Mester and Bojana Milic Marjanovic
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Ugljesa Marjanovic: University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
Gyula Mester: University of Szeged, Szeged, Hungary
Bojana Milic Marjanovic: University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia

Interdisciplinary Description of Complex Systems - scientific journal, 2024, vol. 22, issue 3, 266-275

Abstract: Artificial Intelligence tools have gained significant attention in recent years due to their potential to transform various sectors by automating tasks, improving efficiency, and enhancing decision-making processes. This paper explores the success of Artificial Intelligence tools, particularly ChatGPT, using the Information System-success-based framework from the perspective of users. Structural Equation Modeling techniques were applied to data collected from users of ChatGPT. The study empirically evaluated a model for measuring the success of Artificial Intelligence tools, incorporating constructs from the updated DeLone and McLean Information System success model. Four out of five hypothesized relationships between the success variables were significantly supported. The findings of this study can be used to assess the success of Artificial Intelligence tools like ChatGPT from the standpoint of their users.

Keywords: artificial intelligence; ChatGPT; IS success; DeLone and McLean; SEM (search for similar items in EconPapers)
JEL-codes: L86 (search for similar items in EconPapers)
Date: 2024
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