Araştırma Makalesi

Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey

Cilt: 10 Sayı: 1 23 Haziran 2025
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Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey

Öz

Career websites are essential for companies to become attractive employers by attracting talent. In this study, career websites of ‘Great Place to Work’ companies in Turkey, such as Assist, Turkcell Global Bilgi, Kuveyt Türk and Teleperformance, are analyzed using artificial intelligence-based eye tracking methodology to determine how attractive these websites are. The AI-based eye-tracking methods used in this study utilize the capabilities of artificial intelligence trained by machine learning to determine how user-friendly and easy-to-understand the career websites of the relevant companies are, with an accuracy of over 90%. This method will provide employers with helpful information to create more attractive career websites to become attractive employers. The research shows that career websites using neuroscientific approaches can potentially increase candidate interest. Furthermore, the study highlights the potential of AI-based eye-tracking technology in evaluating and improving website design and effectiveness. This paper claims to contribute to the emerging literature on the relationship between artificial intelligence, human resource management and talent management, mainly employer branding.

Anahtar Kelimeler

Etik Beyan

Note: This article was presented only as an oral presentation at Eskisehir University Faculty of Communication19th International Symposium Communication in the Millennium on October 12-14, 2022. It has not been published in the same form elsewhere.

Teşekkür

The author would like to thank Neurons Company.

Kaynakça

  1. Ahmed, R. R., Streimikiene, D., Channar, Z. A., Soomro, H. A., Streimikis, J., & Kyriakopoulos, G. L. (2022). The neuromarketing concept in artificial neural networks: A case of forecasting and simulation from the advertising industry. Sustainability, 14(8546), 1–24. https://doi.org/10.3390/su14148546
  2. Azhari, A., Korolchuk, M., & Yunyk, I. (2023). The role of employer branding practices on management of employee attraction and retention. Economics Ecology Socium, 7(1), 46–60. https://doi.org/10.31520/2616- 7107/2023.7.1-5
  3. Backhaus, K. B., Stone, B. A., & Heiner, K. (2002). Exploring the relationship between corporate social performance and employer attractiveness. Business and Society, 41(3), 292–318. https://doi.org/10.1080 /02701.367.2009.10599532
  4. Backhaus, K., & Tikoo, S. (2004). Conceptualizing and researching employer branding. Career Development International, 9(5), 501–517. https://doi.org/10.1108/136.204.30410550754
  5. Banerjee, P., & Gupta, R. (2019). Talent attraction through online recruitment websites: application of web 2.0 technologies. Australasian Journal of Information Systems, 23(1), 1–23. https://doi.org/10.3127/ajis. v23i0.1762
  6. Baum, M., & Kabst, R. (2014). The effectiveness of recruitment advertisements and recruitment websites: indirect and interactive effects on applicant attraction. Human Resource Management, 53(3), 329–488. https://doi.org/10.1002/hrm
  7. Białowąs, S., & Szyszka, A. (2019). Eye-Tracking in Marketing Research. 91–104. https://doi. org/10.12657/978.837.9862771-6
  8. Birgelen, M. J. H. van, Wetzels, M. G. M., & Dolen, W. M. van. (2008). Effectiveness of corporate employment web sites: How content and form influence intentions to apply. International Journal of Manpower, 29(8), 731–751. https://doi.org/10.1108/014.377.20810919323

Ayrıntılar

Birincil Dil

İngilizce

Konular

İşletme , İş Sistemleri (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

23 Haziran 2025

Gönderilme Tarihi

5 Mayıs 2024

Kabul Tarihi

12 Şubat 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 10 Sayı: 1

Kaynak Göster

APA
Atlı, D. (2025). Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey. Journal of Research in Business, 10(1), 78-94. https://doi.org/10.54452/jrb.1478782
AMA
1.Atlı D. Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey. JRB. 2025;10(1):78-94. doi:10.54452/jrb.1478782
Chicago
Atlı, Dinçer. 2025. “Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey”. Journal of Research in Business 10 (1): 78-94. https://doi.org/10.54452/jrb.1478782.
EndNote
Atlı D (01 Haziran 2025) Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey. Journal of Research in Business 10 1 78–94.
IEEE
[1]D. Atlı, “Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey”, JRB, c. 10, sy 1, ss. 78–94, Haz. 2025, doi: 10.54452/jrb.1478782.
ISNAD
Atlı, Dinçer. “Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey”. Journal of Research in Business 10/1 (01 Haziran 2025): 78-94. https://doi.org/10.54452/jrb.1478782.
JAMA
1.Atlı D. Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey. JRB. 2025;10:78–94.
MLA
Atlı, Dinçer. “Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey”. Journal of Research in Business, c. 10, sy 1, Haziran 2025, ss. 78-94, doi:10.54452/jrb.1478782.
Vancouver
1.Dinçer Atlı. Employer Attractiveness Through Career Websites: An Artificial Intelligence-Based Eye Tracking Research on ‘’Great Place to Work’’ Companies in Turkey. JRB. 01 Haziran 2025;10(1):78-94. doi:10.54452/jrb.1478782