Rethinking information system success: Generative AI in the hands of future business managers
Rethinking information system success: Generative AI in the hands of future business managers

Summary/Abstract: Artificial Intelligence (AI) has rapidly evolved over recent decades, transforming various sectors. At the forefront of AI advancements is Generative Pre-trained Transformer technology, exemplified by ChatGPT, which demonstrates significant capabilities in generating human-like conversational responses. This study examines the perceived success factors of ChatGPT among Gen Z business students using the DeLone and McLean Information System Success Model. Utilising a qualitative methodology with a sample of 410 participants, the research assesses all six core dimensions while accounting for multidimensionality. The findings reveal that, while ChatGPT is widely adopted in academic contexts, higher-order construct analysis indicates that some traditionally validated dimensions did not achieve statistical significance in this specific setting. Notably, the research did not confirm that the quantity dimension is significantly related to intention to use, nor that intention to use significantly affects perceived net benefits, suggesting potential limitations of the model when applied to generative AI. This study highlights the need for updated or adapted theoretical models that better capture the unique characteristics and user interactions associated with modern AI tools such as ChatGPT. As these students transition into the workforce, their attitudes and experiences offer a valuable preview of how future employees may engage with AI in professional environments.

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