E-commerce big data computing platform system based on distributed computing logistics information

Hu, Jingyu

doi:10.1007/s10586-018-2074-6

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…ey believed that the basic theme and commonly used dominant function of DMS is to publish and process information and processing of all tourism activities-related organizations and attractions in a particular tourist area for reservation business and several core database-based application systems used in tourism information management, public information services, industry exchanges, and tourism online marketing. e e-commerce expansion model of the destination marketing system established by Hu [17] realized the three functions of commercial activities: online promotion, service provision, and transaction execution. From this perspective, the three functions of the destination marketing system are proposed with information and service provision functions, marketing functions, and transaction execution functions.…”

Section: Related Workmentioning

confidence: 99%

Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

Yang

Han³

2021

Scientific Programming

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This study combs through relevant literature, adopts a combination of typical sampling and random sampling, collects three big data technology-driven interactive marketing e-commerce companies in a specific period of Sina Weibo sample data for research, obtains historical information and data, and constructs a model. Through relevant analysis to eliminate invalid variables, we creatively selected three variables of Internet hot words, activities, and microtopics as independent variables and used marketing effects as dependent variables to carry out empirical analysis and study the marketing innovation of three representative companies based on big data technology. We discussed the use of self-media in interactive marketing e-commerce and the situation of marketing innovation based on self-media, focusing on the interactive relationship between marketing innovation and Internet word-of-mouth (brand image). Through research, we have derived the three-force model, which is the biggest result of this research, and provided a reference model for interactive marketing e-commerce companies to carry out follow-up marketing innovation based on the media. Limited to the level of research and ability, there are some deficiencies in the research, such as barrage marketing, big data marketing, and emotional computing, that have not been analyzed in depth. This article fully considers the dependence of small and medium e-commerce companies on e-commerce platforms in the era of big data and conducted detailed market research on their precision marketing strategies in the era of big data. This will be a new field that does not come from media marketing. This article intends to summarize a series of experiences and laws from special to general, from individuality to generality, so as to give full play to the role of personalized marketing in increasing website traffic and order conversion, in order to personalize the use of data by other e-commerce companies with marketing provides some valuable experiences and methods for reference.

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Section: Related Workmentioning

confidence: 99%

Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

Yang

Han³

2021

Scientific Programming

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“…Bao, Huang, Ma, Zhang, and Lv (2012) proposed a concept on the supply chain management supported by e-commerce service platform for agreement based circulation of fruits and vegetables. Hu (2018) proposed a theoretical framework for e-commerce big data computing platform system based on distributed computing logistics information. Hu and Chang (2010) designed an innovative automatic storage and retrieval system for B2C e-commerce logistics.…”

Section: Background and Literaturementioning

confidence: 99%

Optimization Plan for Excess Warehouse Storage in E-Commerce–based Plant Shops: A Case Study for Chinese Plant Industrial

Lin¹,

Cho

et al. 2019

Journal of Business Economics and Management

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The rapid development of e-commerce in China has played a critical role in the development of the national economy and ongoing modernization. The plant industry is unique among industries that employ e-commerce sales models because its products exhibit special characteristics such as high death and damage rates. Therefore, its e-commerce and logistical requirements are stricter than in other industries and, as a result, excess warehouse storage can be extremely difficult for e-commerce-based plant shops to manage. Numerous studies have indicated the need to identify a product's most up-to-date market conditions, as well as the type, function, and size of warehouses. Therefore, based on a case study, this study proposes an optimization plan for solving excess warehouse storage in e-commerce-based plant shops. First, sales volume data of the case company, Enterprise A, were analyzed to predict future sales. Then, entropy and the technique for order preference by similarity to an ideal solution were used to construct the decision-making model. Finally, a cloud warehouse-based optimization plan was proposed to solve excess warehouse storage in e-commerce-based plant shops. This plan can serve as a reference for decision-makers or executives in e-commerce-based plant shops when handling excess warehouse storage.

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“…Perusahaan berharap dapat memahami setiap pengguna melalui data-data ini dan selanjutnya dapat membangun sebuah hubungan dengan konsumen. Saat ini big data dapat menerjemahkan data konsumen menjadi bentuk pengetahuan yang bernilai (Hu, 2018). Dalam laporan International Data Cooperation, pada tahun 2011 diestimasi data yang berhasil terkumpul di dunia sebesar 1,8 zettabytes dan pada tahun 2020 di prediksi akan mencapai lebih dari 35 zettabytes, sehingga dapat dikatakan, kita telah hidup dalam era big data (Le & Liaw, 2017).…”

Section: Big Data Analitycsunclassified

“…Apabila perusahaan fashion telah mengimplementasikan e-commerce di dalam bisnisnya, maka situs e-commerce setiap harinya akan menghasilkan data perilaku pengguna dalam jumlah yang sangat besar, sehingga jika perusahaan mampu memahami data-data yang tersedia ini, selanjutnya perusahaan dapat mengenal lebih jauh mengenai pengguna atau konsumen mereka dan pada akhirnya dapat membangun hubungan yang lebih baik dengan konsumen, karena big data dapat menerjemahkan data konsumen menjadi bentuk pengetahuan yang bernilai (Hu, 2018). Melakukan analisis big data dapat menjadi inovasi dan metode baru dalam bisnis e-commerce (Le & Liaw, 2017).…”

Section: Warta Iskiunclassified

Pemanfaatan Teknologi Informasi dan Komunikasi dalam Industri Fashion Indonesia

Mustikarani

Irwansyah

2019

WartaISKI

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In the current economic development, technological knowledge in ICTs plays a very important role in the growth and competitiveness of organizations. In the creative economy sector, fashion subsector is the second largest contributor. But unfortunately, the use of information and communication technology in the fashion industry in Indonesia has not used ICTs to the full. Today fashion is no longer just about clothing, but a lifestyle that cannot be separated from modern humans. In the fashion industry, innovation is an important factor in consumer purchasing decisions. This conceptual article provides an overview of the application of ITK in the concept of e-commerce, big data analytics and user experience that has proven to be able to influence the development of the fashion industry in Indonesia. AbstrakDalam perkembangan ekonomi saat ini, pengetahuan teknologi informasi dan komunikasi (TIK) memainkan peran yang sangat penting dalam pertumbuhan dan daya saing organisasi. Pada sektor ekonomi kreatif, subsektor fashion merupakan pemberi kontribusi nomor dua terbesar. Namun sayangnya pemanfaatan teknologi informasi dan komunikasi dalam industri fashion di Indonesia nyatanya belum menggunakan TIK secara maksimal. Saat ini fashion bukan lagi hanya tentang pakaian, melainkan gaya hidup yang tidak dapat terlepas dari manusia modern. Dalam industri fashion, inovasi merupakan faktor penting dalam keputusan pembelian konsumen. Artikel konseptual ini memberikan gambaran mengenai penerapan ITK dalam konsep e-commerce, big data analytics dan user experience yang terbukti mampu memberikan pengaruh dalam pengembangan industri fashion di Indonesia.

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E-commerce big data computing platform system based on distributed computing logistics information

Cited by 8 publications

References 5 publications

Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

Interactive Marketing E-Commerce Recommendation System Driven by Big Data Technology

Optimization Plan for Excess Warehouse Storage in E-Commerce–based Plant Shops: A Case Study for Chinese Plant Industrial

Pemanfaatan Teknologi Informasi dan Komunikasi dalam Industri Fashion Indonesia

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