INDECS

ASSESSING THE SUCCESS OF
ARTIFICIAL INTELLIGENCE TOOLS:
AN EVALUATION OF CHATGPT USING THE
INFORMATION SYSTEM SUCCESS MODEL

Ugljesa Marjanovic¹, Gyula Mester² and Bojana Milic Marjanovic¹

¹University of Novi Sad, Faculty of Technical Sciences
Novi Sad, Serbia
²University of Szeged
Szeged, Hungary

INDECS 22(3), 266-275, 2024
DOI 10.7906/indecs.22.3.3
Full text available in pdf

format.

Received: 22^nd May 2024.
Accepted: 15^th June 2024.
Regular article

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.

KEY WORDS
artificial intelligence, ChatGPT, IS success, DeLone and McLean, SEM

CLASSIFICATION

JEL: L86