| Yazarlar (2) | 
|  Dr. Öğr. Üyesi Cansu Şahin KÖLEMEN Beykoz Üniversitesi, Türkiye | 
|  Ersin Şahin Marmara Üniversitesi, Türkiye | 
| Özet | 
| This study aims to evaluate the digital saturation levels of teaching staff working at universities using SWOT analysis and artificial intelligence-supported text analysis methods. The research is based on the assumption that digital transformation is not limited to technological infrastructure investments; it also requires the transformation of human resources, institutional culture, and governance structures. In the study conducted with 20 academics, an 18-item scale related to digital saturation was applied. In addition, qualitative data was obtained through semi-structured interviews with 5 academics selected from the sample. In line with the SWOT analysis, the current status of the institution's digital transformation process was examined under four headings. According to the analysis results, data management, communication and change management, digital collaborations, and qualified human resources stand out as the university's strengths. On the other hand, the inadequacy of performance monitoring systems, concerns about financial sustainability, incompatibilities in the technological infrastructure, and a lack of innovation were identified as weaknesses. The content similarities and strategic inconsistencies between SWOT items were analysed in detail using artificial intelligence-based natural language processing techniques. The findings reveal that universities need to improve their weak areas while maintaining their strengths in digital transformation processes, convert existing opportunities into strategic advantages, and develop comprehensive measures against potential threats. It provides university administrators, policymakers, and … | 
| Anahtar Kelimeler | 
| Makale Türü | Özgün Makale | 
| Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale | 
| Dergi Adı | Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi | 
| Dergi ISSN | 2602-2850 | 
| Dergi Tarandığı Indeksler | TR DİZİN | 
| Makale Dili | Türkçe | 
| Basım Tarihi | 09-2025 | 
| Sayı | 65 | 
| Sayfalar | 3520 / 3552 | 
| Doi Numarası | 10.53444/deubefd.1732003 | 
| Makale Linki | https://dergipark.org.tr/tr/pub/deubefd/issue/94925/1732003 |