The Intention to Use ChatGPT in Office Work in Romania: Between Utility and Hedonic Motivation
Mirela Catalina Turkes (),
Aurelia-Felicia Stancioiu and
Cristian-Silviu Banacu
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Mirela Catalina Turkes: Bucharest University of Economic Studies, Romania
Aurelia-Felicia Stancioiu: Bucharest University of Economic Studies, Romania
Cristian-Silviu Banacu: Bucharest University of Economic Studies, Romania
The AMFITEATRU ECONOMIC journal, 2024, vol. 26, issue 67, 783
Abstract:
In the short evolution from 2019 to the present, the application domains of ChatGPT have experienced exponential growth, ranging from editing, consulting, banking, healthcare, journalism, and mass media to entertainment, education, and remote technical assistance in industrial processes. This innovative tool, specialised in generating and understanding texts, is capable of meet the needs of employees anywhere and at any time. The article investigates employees' perceptions regarding the use and utility of ChatGPT and identifies the factors underlying hedonic motivation and the intention to use ChatGPT in office work. Starting from this premise, the results obtained serve as a basis for building a new structural model. The online survey used aims to model data collected from 402 Romanian employees. PLS structural equation modelling (PLS-SEM) and multigroup analysis (PLS-MGA) helped test statistical hypotheses and validate the construct model. SmartPLS 4 and SPSS 28 software was used to process and analyse the data collected from employees. The results highlight the significant influence of factors (ease of use, utility, and hedonic motivators) on the behaviour of Romanian employees regarding the use of ChatGPT in office work.
Keywords: ChatGPT; motivation; perception; utility; behavioural intention; non-probabilistic sampling with partial least squares (PLS-SEM); multigroup analysis (PLS-MGA) (search for similar items in EconPapers)
JEL-codes: C12 C35 J81 M31 M54 M55 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:aes:amfeco:v:26:y:2024:i:67:p:783
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