Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model
المؤلفون المشاركون
Wang, Tao
Ye, Xiaofei
Yang, Zhen
Yan, Xingchen
Yang, Chang
Xie, Jin
Jun, Chen
Lu, Lili
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-22
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces.
However, there are not many drivers who use the mobile Apps to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App.
In order to better explain, predict, and improve drivers’ acceptance of parking App, the conceptual framework based on technology acceptance model was developed to establish the relationships between the drivers’ intention to accept parking App, trust in parking App, perceived usefulness of parking App, and perceived ease of its use.
Then structural equation model was established to analyze the relationship between various variables.
The results show that the trust in parking App, perceived usefulness, perceived ease of use, and parking App attributes are the main factors that determine the intention to use parking App.
Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on acceptance intention, with a standardized coefficient of 0.984, followed by parking App attribute (0.743), perceived ease of use (0.384), and trust in parking App (0.381).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Chang& Ye, Xiaofei& Xie, Jin& Yan, Xingchen& Lu, Lili& Yang, Zhen…[et al.]. 2020. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Chang…[et al.]. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Chang& Ye, Xiaofei& Xie, Jin& Yan, Xingchen& Lu, Lili& Yang, Zhen…[et al.]. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175495
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر