منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
  • سبد خرید

دانلود رایگان مقاله انگلیسی تحلیل درخواست مشتری از زنجیره تامین تجارت الکترونیک با استفاده از کلان داده - اشپرینگر 2018

عنوان فارسی
تحلیل درخواست مشتری از زنجیره تامین تجارت الکترونیک با استفاده از کلان داده
عنوان انگلیسی
Customer demand analysis of the electronic commerce supply chain using Big Data
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
16
سال انتشار
2018
نشریه
اشپرینگر - Springer
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
پایگاه
اسکوپوس
کد محصول
E9307
رشته های مرتبط با این مقاله
مدیریت، مهندسی صنایع
گرایش های مرتبط با این مقاله
تجارت الکترونیک، لجستیک و زنجیره تامین
مجله
سالنامه تحقیقات عملیاتی - Annals of Operations Research
دانشگاه
School of Management and Economics - Tianjin University - China
کلمات کلیدی
زنجیره تامین، زنجیره تقاضا، تجارت الکترونیکی، داده های بزرگ
doi یا شناسه دیجیتال
https://doi.org/10.1007/s10479-016-2342-x
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


With the advent of the Internet and the flourishing of connected technology, electronic commerce has become a new business model that disrupts the traditional transactional model and is transforming the consumer’s lifestyle. Electronic commerce leads to constantly changing customer needs, therefore quick action and collaboration between production and the market is essential. Meanwhile, the abundant transactional data generated by electronic commerce allows us to explore browsing behaviors, habits, preferences and even characteristics of customers, which can help companies to understand their customer’s needs more clearly. Traditional supply chain management (SCM) simply cannot keep up with electronic commerce because demand forecasts are constantly changing. Customer demands create and affect the whole supply chain. The purpose of SCM is to satisfy the customers who support the company by paying for the products; so meeting changing customer needs should be incorporated into SCM by developing demand chain management (DCM). In this paper, we explore how DCM can perform better in the electronic commerce environment based on studying website behavior data and using data analytics tools. The results show that DCM performs much better when paired with the benefits of electronic commerce and Big Data than traditional SCM methods.

نتیجه گیری

5 Conclusion


Electronic commerce and Big Data have not only changed business patterns but also modes of production. The traditional SCM and DCM can’t apply to this new economic environment because each party in the supply chain only considers its own business without real-time information sharing and an accurate demand forecast. Now, suppliers and online retailers can know customers’ demands more clearly, but they also must remain flexible in order to keep up with the changing market. In today’s economic climate, understanding the customer’s situation and developing effective responses to differing needs through the coordination of marketing and SCM can be a source of superior customer value creation (Liu et al. 2015). Those companies who cannot make full use of Big Data are in jeopardy as time goes on. Big Data is an excellent tool to know the customers and the market very quickly and exactly, helping to solve the unclear demands problem. The variety and configurability of Bid Data’s tools also help companies deal with all kinds of problems and seek for measures from any angle like market, policy and so on.


بدون دیدگاه