Research Article

EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH

Volume: 27 Number: 1 March 15, 2025
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EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH

Abstract

In this study, we aimed to investigate employees’ perspectives on artificial intelligence (AI) and understand their opinions and emotions regarding the future advancements of AI and its potential impacts on their work lives. We conducted a qualitative study using an inductive approach and a phenomenological research design. We employed purposive sampling methods to select 20 participants from various sectors for interviews to achieve this goal. We utilized content analysis with the MAXQDA 2024 program, followed by descriptive and relational analyses of the categories and codes we obtained. Our research showed that the most common emotion among participants regarding their encounters with AI was ‘astonishment.’ We discovered that the participants had mixed feelings towards AI, including positive emotions such as happiness, curiosity, admiration, and excitement, and negative emotions such as anxiety, fear, anger, frustration, and distrust. Our study showed that respondents were most surprised and happiest about how AI makes life easier and more convenient and how its speed gives people more time for their personal lives. Conversely, the factors that caused the most concern and fear among participants were the potential for mass unemployment due to AI and the risk of encouraging laziness in people. Many of them believe that AI has the potential to bring significant advantages to humanity, particularly in fields such as healthcare, the environment, and the economy. However, there is also a growing concern and fear around the possibility that AI could spiral out of control, be utilized in biological, chemical, and technological warfare, and result in widespread unemployment.

Keywords

Ethical Statement

This article is based on Gözde Dilara CAN’s master’s thesis, “Investigation of Emotions Emerging in Artificial Intelligence-Human Interaction in Business Life with Qualitative Research Method,” which was supervised by Assoc. Prof. Dr. Ebru TOLAY. The research section of the article was enhanced using additional analysis techniques. The research was approved by Dokuz Eylul University’s Social and Human Sciences Scientific Research and Publication Ethics Committee on 15.09.2022, with approval number E-87347630-659-364703. The thesis was presented as an abstract paper at the 32nd National Management and Organization Congress hosted by Giresun University Faculty of Economics and Administrative Sciences on 23-25 May 2024 in Turkey.

Thanks

We want to thank Dr. Ceyda Ünal (Department of Management Information Systems, Dokuz Eylul University) for reviewing AI-related codes and Berat Bağbancı, a Psychologist and Neuroscience Expert, for reviewing emotion-related codes. Their contributions to the research were invaluable.

References

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  8. Borau, S., Otterbring, T., Laporte, S. & Fosso Wamba, S. (2021). The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI. Psychology & Marketing, 38 (7), 1052–1068. https://doi.org/10.1002/mar.21480

Details

Primary Language

English

Subjects

Strategy, Management and Organisational Behaviour (Other)

Journal Section

Research Article

Early Pub Date

February 25, 2025

Publication Date

March 15, 2025

Submission Date

October 4, 2024

Acceptance Date

December 10, 2024

Published in Issue

Year 2025 Volume: 27 Number: 1

APA
Can, G. D., & Tolay, E. (2025). EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 27(1), 244-276. https://doi.org/10.16953/deusosbil.1561404
AMA
1.Can GD, Tolay E. EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH. DEU Journal of GSSS. 2025;27(1):244-276. doi:10.16953/deusosbil.1561404
Chicago
Can, Gözde Dilara, and Ebru Tolay. 2025. “EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH”. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 27 (1): 244-76. https://doi.org/10.16953/deusosbil.1561404.
EndNote
Can GD, Tolay E (March 1, 2025) EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 27 1 244–276.
IEEE
[1]G. D. Can and E. Tolay, “EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH”, DEU Journal of GSSS, vol. 27, no. 1, pp. 244–276, Mar. 2025, doi: 10.16953/deusosbil.1561404.
ISNAD
Can, Gözde Dilara - Tolay, Ebru. “EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH”. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 27/1 (March 1, 2025): 244-276. https://doi.org/10.16953/deusosbil.1561404.
JAMA
1.Can GD, Tolay E. EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH. DEU Journal of GSSS. 2025;27:244–276.
MLA
Can, Gözde Dilara, and Ebru Tolay. “EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH”. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, vol. 27, no. 1, Mar. 2025, pp. 244-76, doi:10.16953/deusosbil.1561404.
Vancouver
1.Gözde Dilara Can, Ebru Tolay. EXAMINING EMPLOYEES’ EMOTIONS TOWARDS ARTIFICIAL INTELLIGENCE (AI): A QUALITATIVE RESEARCH. DEU Journal of GSSS. 2025 Mar. 1;27(1):244-76. doi:10.16953/deusosbil.1561404

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