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Examining the Impact of Digital Technologies on the Generative Artificial Intelligence Integration of Businesses in Türkiye

Cilt: 22 Sayı: 5 30 Eylül 2025
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Examining the Impact of Digital Technologies on the Generative Artificial Intelligence Integration of Businesses in Türkiye

Abstract

Generative Artificial Intelligence (GenAI), which can autonomously produce textual, visual, auditory, and video content, goes beyond creativity and offers significant advantages in business processes. This study aims to examine the relationship between the digital processes used in firms and employees’ levels of artificial intelligence usage and their intention to use it, within the framework of four fundamental factors of GenAI: performance expectancy, effort expectancy, facilitating conditions, and social influence. Data were collected from employees working in 213 companies operating in Türkiye and analyzed using regression analysis and Pearson correlation methods. The findings indicate that the digital processes implemented in firms do not have a statistically significant effect on these four factors. In contrast, employees’ intention to use artificial intelligence has a significant and positive effect on performance expectancy and social influence. Moreover, the current use of artificial intelligence is found to create significant and positive effects on effort expectancy, facilitating conditions, and social influence. Overall, the results demonstrate that, rather than the quantitative presence of digital processes, employees’ attitudes and tendencies toward artificial intelligence play a more decisive role in the integration of generative AI

Keywords

Generative Artificial Intelligence , Digital Process , Artificial Intelligence Usage

Kaynakça

  1. Ali, H., ul Mustafa, A., & Aysan, A. F. (2025). Global adoption of generative AI: what matters Most?. Journal of Economy and Technology, 3, 166-176.
  2. Alpar, R. (2020). Uygulamalı çok değişkenli istatistiksel yöntemler. (6. Baskı), Ankara: Detay Yayıncılık
  3. Avcı, E. (2024). Akıllı Şehirler için Üretken Yapay Zeka Kavramsal Çerçevesi. Kent Akademisi, 17(5), 1654-1675. https://doi.org/10.35674-/kent.1490925
  4. Baidoo-Anu, D., & Owusu Ansah, A. (2023). Education in the era of generative artificial intelligence (AI). Journal of AI in Education, 5(2), 45–59. https://doi.org/10.1234/jaie.2023.56789
  5. Biernacki, P., & Waldorf, D. (1981). Snowball sampling: Problems and techniques of chain referral sampling. Sociological methods & research, 10(2), 141-163. https://doi.org/10.-1177/004912418101000205
  6. Bengesi S, El-Sayed H, Sarker MK, Houkpati Y, Irungu J, Oladunni T. Advancements in generative AI: a comprehensive review of GANs, GPT, autoencoders, diffusion model, and transformers. Preprint. Posted online November 16, 2023. arXiv. DOI: 242. 10.1109/ACCESS.2024.3397775
  7. Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. V. (2013). Digital business strategy: toward a next generation of insights. MIS quarterly, 471-482. DOI:10.25300/MISQ/2013/37:2.3
  8. Bozkurt, A., & Sharma, R. C. (2023). Challenging the status quo and exploring the new boundaries in the age of algorithms: Reimagining the role of generative AI in distance education and online learning. Asian Journal of Distance Education, 18(21), i-viii. https://doi.org/10.5281/zenodo.7755273.
  9. Cameron, K. S. (2011). Diagnosing and changing organizational culture: Based on the competing values framework (3rd ed.). Jossey-Bass.
  10. Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023). A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. arXiv preprint. https://doi.org/10.48550/arXiv.23-03.04226.

Kaynak Göster

APA
Şahinbaş, K. (2025). Examining the Impact of Digital Technologies on the Generative Artificial Intelligence Integration of Businesses in Türkiye. OPUS Journal of Society Research, 22(5), 1046-1060. https://doi.org/10.26466/opusjsr.1684795