AI Summary & Key Takeaways
AI InsightIt has been determined that individuals who perceive public transportation vehicles as risky and have high environmental concern levels during the epidemic period have a higher intention to use e-scooter.
📌 3 Key Takeaways
Abstract
In this study, the factors affecting the intention to use shared e-scooter were investigated with a proposed structural model. The Technology Acceptance Model (TAM) was taken as the basis for the design of the proposed model. In the research model, the scope of the study has been expanded by adding factors such as Environmental Concern, Economic Benefit, Pleasure and Covid 19 Effect in addition to the factors included in TAM. The research model was analyzed with Partial Smallest Structural Equation Modeling (PLS-SEM), which gives suitable solutions for small datasets and does not require the assumption of multivariate normal distribution. As a result of the analysis, it was determined that the explanatory power of the model was high and compatible. Only two of the 12 hypotheses tested in the study were not supported. It has been determined that individuals who perceive public transportation vehicles as risky and have high environmental concern levels during the epidemic period have a higher intention to use e-scooter.
Özet
Bu araştırmada ortak paylaşımlı e-scooter kullanım niyetini etkileyen faktörler önerilen bir yapısal model ile araştırılmıştır. Önerilen modelin tasarlanmasında Teknoloji Kabul Modeli (TKM) temel alınmıştır. Araştırma modelinde, TKM’ne yer alan faktörlere ilave olarak Çevresel Kaygı, Ekonomik Fayda, Zevk ve Covid 19 Etkisi gibi faktörler eklenerek çalışmanın kapsama alanı genişletilmiştir. Araştırma modeli küçük veri setleri için uygun çözümler veren ve özellikle çok değişkenli norma dağılım varsayımı gerektirmeyen Kısmi En Küçük Yapısal Eşitlik Modellemesi (KEK-YEM) ile analiz edilmiştir. Analiz sonucunda modelin açıklama gücünün yüksek ve uyumlu olduğu belirlenmiştir. Çalışmada sınan 12 hipotezden sadece ikisi desteklenmemiştir. Salgın döneminde toplu taşıma