کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385486 | 660867 | 2007 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A prediction model for success of services in e-commerce using decision tree: E-customer’s attitude towards online service
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
This research attempts to identify some characteristics of services which encourage customers to buy online and to develop a prediction model for success based on customer recognitions of service offerings in e-commerce. For the purpose, a survey was conducted on potential e-customers for their understandings of service offerings extracted from Portal Sites. Collected data were used to develop a prediction model using decision tree which showed superior prediction accuracy to conventional techniques. The results will help predict online success judging from customer acceptance and afford a better understanding of how to facilitate future adoption of services in e-commerce.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 33, Issue 3, October 2007, Pages 572–581
Journal: Expert Systems with Applications - Volume 33, Issue 3, October 2007, Pages 572–581
نویسندگان
Sungjoo Lee, Seunghoon Lee, Yongtae Park,