Disaffordances or affordances: Perceptions of ChatGPT in the workplace

People increasingly use generative AI like ChatGPT in the workplace since ChatGPT was launched in late 2022. There could be negative consequences of ChatGPT use like threatening employees’ job and misuse due to less updated knowledge. The limitation of updating its knowledge, accuracy and authenticity may also be other reasons of hindering the use of ChatGPT in the workplace. This study aims to examine how the positive or negative perceptions of ChatGPT among employees affect the attitudes towards using ChatGPT. This research fills the gap by finding out the negative perceptions of using ChatGPT. The Self-Determination Theory (SDT) is selected as the foundation of explanation of generative AI adoption in general. A survey research was conducted in 2024 to collect views of working adults towards ChatGPT in Hong Kong. The findings showed that automatability, personalization and availability of ChatGPT are positively associated with ChatGPT effectiveness. Limited understanding and null decision-making are positively related to discomfort with using ChatGPT. The association between lack of emotion and discomfort with using ChatGPT, however, is not supported in this research. ChatGPT effectiveness is found positively associated with the attitudes towards ChatGPT. SDT was further validated to demonstrate the importance of fulfilling employees’ psychological needs for more motivated use of ChatGPT. Corporations should count on the three features affecting ChatGPT effectiveness which are automatability, personalization and availability. Future research might explore the influence of demographical factors of employees such as age, work position, educational level, income as well as the contextual factor such as industry type.

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Publication Details

Journal
Sustainable Futures
Published
2025-04-18
DOI
https://doi.org/10.1016/j.sftr.2025.100632
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Disaffordances or affordances: Perceptions of ChatGPT in the workplace

Tai Ming Wut, Ah-heung Elaine Chan
3 citations
Sustainable Futures
Artificial Intelligence in Healthcare and Education
1.96
article

Disaffordances or affordances: Perceptions of ChatGPT in the workplace

Tai Ming Wut, Ah-heung Elaine Chan
article en
3 citations

Abstract

People increasingly use generative AI like ChatGPT in the workplace since ChatGPT was launched in late 2022. There could be negative consequences of ChatGPT use like threatening employees’ job and misuse due to less updated knowledge. The limitation of updating its knowledge, accuracy and authenticity may also be other reasons of hindering the use of ChatGPT in the workplace. This study aims to examine how the positive or negative perceptions of ChatGPT among employees affect the attitudes towards using ChatGPT. This research fills the gap by finding out the negative perceptions of using ChatGPT. The Self-Determination Theory (SDT) is selected as the foundation of explanation of generative AI adoption in general. A survey research was conducted in 2024 to collect views of working adults towards ChatGPT in Hong Kong. The findings showed that automatability, personalization and availability of ChatGPT are positively associated with ChatGPT effectiveness. Limited understanding and null decision-making are positively related to discomfort with using ChatGPT. The association between lack of emotion and discomfort with using ChatGPT, however, is not supported in this research. ChatGPT effectiveness is found positively associated with the attitudes towards ChatGPT. SDT was further validated to demonstrate the importance of fulfilling employees’ psychological needs for more motivated use of ChatGPT. Corporations should count on the three features affecting ChatGPT effectiveness which are automatability, personalization and availability. Future research might explore the influence of demographical factors of employees such as age, work position, educational level, income as well as the contextual factor such as industry type.

Sustainable FuturesVol. 9
Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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