Dijital Girişimciliği Şekillendirmek: BT Öğrencilerinin Karar Verme Tarzları ve Girişimcilik Eğilimleri

Öz

Günümüzde girişimcilik önemli bir mesleki tercih olarak kabul edilmekte ve bilişim eğitimi dijital girişimciliğe yönelik beklentileri artırmaktadır. Bu çalışma, Türkiye'deki BT öğrencilerinin karar verme yöntemlerinin ve demografik faktörlerinin girişimcilik eğilimleri üzerindeki etkisini analiz etmeyi amaçlamaktadır. Çalışmada nicel bir metodoloji kullanılmış ve 736 BT öğrencisinden oluşan bir örneklemden anket yoluyla veri toplanmıştır. Veriler tanımlayıcı istatistikler ve küme analizi kullanılarak analiz edilmiştir. Sonuçlar, rasyonel karar verme tarzının katılımcıların %51.9'u arasında en yaygın olduğunu, sezgisel tarzın %7.1'de görüldüğünü ve dengeli bir yaklaşımın %41 tarafından benimsendiğini göstermiştir. Cinsiyete göre ölçüldüğünde, erkekler kadınlara kıyasla daha yüksek düzeyde girişimcilik niyeti sergilemektedir. Yaş değişkeni, en yüksek girişimcilik niyetinin 28-32 yaş aralığında gerçekleştiğini ortaya koymaktadır. Bulgular, kişinin ailesinden destek almasının girişimci olma arzusu üzerinde hem maddi hem de manevi yönleri kapsayan faydalı bir etkisi olduğunu göstermiştir. Ayrıca, aile içinde daha önce girişimci olmuş bireylerin varlığı girişimcilik eğilimini daha da artırmaktadır. Sonuç olarak, bu araştırma BT öğrencilerinin girişimcilik yeteneklerini anlamak ve desteklemek için gerekli önlemleri ortaya koymaktadır.

Anahtar Kelimeler

• Dijital girişimcilik
• veri madenciliği
• kümeleme analizi
• karar verme stilleri
• girişimcilik yönelimi

Shaping Digital Entrepreneurship: IT Students' Decision-Making Styles and Entrepreneurial Orientation

Öz

Currently, entrepreneurship is recognized as a significant professional choice, and education in informatics enhances the prospects for digital entrepreneurship. This study seeks to analyze the influence of decision-making methods and demographic factors of IT students in Turkey on their entrepreneurial inclinations. The study employed a quantitative methodology and gathered data from a sample of 736 IT students via a survey. The data were analyzed using descriptive statistics and cluster analysis. The results indicated that the rational decision-making style was the most prevalent among 51.9% of the participants, while the intuitive style was observed in 7.1% and a balanced approach was adopted by 41%. Men exhibit a higher level of entrepreneurial intention compared to women, as measured by gender. The age variable reveals that the highest level of entrepreneurial aspiration occurs within the age range of 28-32. Findings has shown that receiving support from one's family has a beneficial impact on the desire to become an entrepreneur, encompassing both financial and spiritual aspects. Moreover, the existence of prior entrepreneurial individuals within the family further enhances entrepreneurial inclination. In conclusion, this research uncovers the necessary measures to comprehend and bolster the entrepreneurial aptitude of IT students.

Anahtar Kelimeler

• Digital entrepreneurship
• data mining
• cluster analysis
• decision-making styles
• entrepreneurial orientation

Kaynakça

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