تجزیه و تحلیل داده های بزرگ بدون ساختار
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تجزیه و تحلیل داده های بزرگ بدون ساختار

عنوان فارسی مقاله: تجزیه و تحلیل داده های بزرگ بدون ساختار برای بازیابی دانش تدارکات تجارت الکترونیک
عنوان انگلیسی مقاله: Unstructured big data analytics for retrieving e-commerce logistics knowledge
مجله/کنفرانس: Telematics and Informatics
رشته های تحصیلی مرتبط: مهندسی فناوری اطلاعات، مدیریت
گرایش های تحصیلی مرتبط: تجارت الکترونیک، مدیریت اجرایی
کلمات کلیدی فارسی: تجارت الکترونیک، مدیریت لجستیک، تجزیه و تحلیل داده های بزرگ، تجزیه و تحلیل محتوا، داده های بزرگ بدون ساختار
کلمات کلیدی انگلیسی: E-commerce، Logistics management، Big data analytics، Content analytics، Unstructured big data
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journal List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.tele.2017.11.004
دانشگاه: Assistant Professor, Department of Transportation and Logistics; Chief Innovation & Development Officer, Innovation Center for Intelligent Transportation and Logistics, Feng Chia University, Taiwan, ROC
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: 3/788 در سال 2017
شاخص H_index: 42 در سال 2019
شاخص SJR: 1/299 در سال 2017
شناسه ISSN: 0736-5853
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 37
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E10850
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Hybrid content analytics


3- The empirical results


4- E-commerce logistics strategies


5- Conclusions


References

نمونه متن انگلیسی مقاله

Abstract


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”.


Introduction


The success of an e-commerce company correlates strongly with its logistical performance (Cullen and Taylor, 2009; Hsiao et al., 2017) and distribution systems (Lu and Liu, 2015). Superior e-commerce logistics management can raise a company’s performance (Bhattacharjya et al., 2016; Cho et al., 2008). The characteristics of various worldwide environments, such as the logistical capacities of different countries, are more likely to induce different logistical operations. Nevertheless, few studies have comprehensively scrutinized e-commerce logistical business models from a global perspective E-commerce management requires superior delivery services (Iyer et al., 2004), perfect logistics information systems (Auramo et al., 2005), secure e-procurement processes (Vaidyanathan et al., 2012), inter-organizational collaboration (Gimenez and Ventura, 2005), convenient mobile banking (Shaikh and Karjaluoto, 2015), efficient mobile channel (Park and Lee, 2017), and suitable e-collaboration tools (Chong et al., 2009), etc. Improved e-commerce logistics management can also enhance a company’s financial performance (Johnson et al., 2007). E-commerce investments need to consider sources for many different possible configurations such as insourcing and outsourcing (Sharp, 2007). Moreover, e-commerce applications influence the supply chain network design over time (Piramuthu, 2005).

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