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The Intention to Use ChatGPT in Office Work in Romania: Between Utility and Hedonic Motivation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mirela Catalina Turkes & Aurelia-Felicia Stancioiu & Cristian-Silviu Banacu, 2024. "The Intention to Use ChatGPT in Office Work in Romania: Between Utility and Hedonic Motivation," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 783-783, August.
    • Handle: RePEc:aes:amfeco:v:26:y:2024:i:67:p:783
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    References listed on IDEAS

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    1. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    2. Veronika Huta & Alan Waterman, 2014. "Eudaimonia and Its Distinction from Hedonia: Developing a Classification and Terminology for Understanding Conceptual and Operational Definitions," Journal of Happiness Studies, Springer, vol. 15(6), pages 1425-1456, December.
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    More about this item

    Keywords

    ChatGPT; motivation; perception; utility; behavioural intention; non-probabilistic sampling with partial least squares (PLS-SEM); multigroup analysis (PLS-MGA);
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • M55 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Contracting Devices
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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