کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6889759 | 1445143 | 2018 | 37 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Unstructured big data analytics for retrieving e-commerce logistics knowledge
ترجمه فارسی عنوان
تجزیه و تحلیل داده های بزرگ بدون ساختار برای بازیابی اطلاعات تدارکات الکترونیکی تجارت الکترونیک
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کلمات کلیدی
تجارت الکترونیک، مدیریت تدارکات، تجزیه و تحلیل داده های بزرگ، تجزیه و تحلیل محتوا، داده های بزرگ بدون ساختار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
The divergent evolution of e-commerce has complicated its correspondingly logistics management. However, few studies have explored e-commerce logistics business models via big data analytics. Hence, this investigation explores e-commerce logistics business models from unstructured big data. Specifically, this work develops a hybrid content analytical model to scrutinize essential knowledge of e-commerce logistics. The empirical results of the proposed model incorporate theories of resource dependence theory (RDT) and innovation diffusion theory (IDT) to generate logistical strategies. Ten critical themes of e-commerce logistics from topic mining are “Southeast Asia's e-commerce logistics payments”, “E-commerce order management”, “E-commerce logistics cloud services”, “E-commerce logistics package management”, “Europe e-commerce trends”, “India's e-commerce logistics”, “E-commerce distribution management”, “Tax policies”, “E-commerce logistics platforms”, and “E-commerce logistics networks”. Moreover, the fundamental rule of “cross-border e-commerce logistics” is uncovered by the association rules model. The proposed hybrid content analytics framework provides a research foundation for e-commerce logistics management. Furthermore, e-commerce logistics can be implemented by vital strategies: “Establish inter-organizational and technical collaboration to create positive operations performance” and “Comprehend law, policy, and cultural differences to customize appropriate technologies of e-commerce logistics”.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Telematics and Informatics - Volume 35, Issue 1, April 2018, Pages 237-244
Journal: Telematics and Informatics - Volume 35, Issue 1, April 2018, Pages 237-244
نویسندگان
Pei-Ju Wu, Kun-Chen Lin,