scholarly journals A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Mi Gan ◽  
Shuai Yang ◽  
Dandan Li ◽  
Mingfei Wang ◽  
Si Chen ◽  
...  
Keyword(s):  
Big Data ◽  
High Speed ◽  
Distribution Network ◽  
Sharing Economy ◽  
Shopping Behavior ◽  
Logistics Network ◽  
Stakeholder Satisfaction ◽  
Logistics Distribution ◽  
Distribution Logistics ◽  
Big Data Technology

The rapid growth of logistics distribution highlights the problems including the imperfect infrastructure of logistics distribution network, the serious shortage of distribution capacity of each individual enterprise, and the high cost of distribution in China. While the development of sharing economy makes it possible to achieve the integration of whole social logistic resources, big data technology can grasp customer’s logistics demand accurately on the basis of analyzing the customer’s logistics distribution preference, which contributes to the integration and optimization of the whole logistics resources. This paper proposes a kind of intensive distribution logistics network considering sharing economy, which assumes that all the social logistics suppliers build a strategic alliance, and individual idle logistics resources are also used to deal with distribution needs. Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. Furthermore, this paper analyzes the mechanism of interest distribution of the participants in the distribution network and puts forward an improved interval Shapley value method considering both satisfaction and contribution, with case verifying the feasibility and effectiveness of the model. The results showed that, compared with the traditional Shapley method, distribution coefficient calculated by the improved model could be fairer, improve stakeholder satisfaction, and promote the sustainable development of the alliance as well.

scholarly journals Research on Sharing Economic Development of “Big Data + Block Chain”——Based on Industry Convergence Theory

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Haiying Liu
Keyword(s):  
Economic Development ◽  
Big Data ◽  
Sharing Economy ◽  
Internet Technology ◽  
Convergence Theory ◽  
Industry Convergence ◽  
Block Chain ◽  
Technology And Communication ◽  
Further Development ◽  
Big Data Technology

Sharing economy as an important product of the Internet Era, its essence is to rely on Internet technology, especially big data technology to reuse the idle resources of society and creating new market value. However, with the increasing scope of the sharing economy, the problems of data security, circulation, sharing and privacy protection are gradually emerging, and big data technology has become the biggest bottleneck for further development of shared economy. The block chain technology is composed of a variety of technology and communication protocol to form a new Internet architecture, it through cryptographic sharing, distributed books and other feathers to provide new methods and ideas for data distribution and sharing and complementary with big data technology. Therefore, through the combination of block chain technology and big data technology, they can subvert the traditional shared economic business model and provide a new opportunity for sharing economic development.

scholarly journals Research on Risk Control Strategies of Consumer Finance Based on Big Data Technology

2021 ◽  
Vol 6 (1) ◽  
pp. 40
Author(s):  
Ziwei Wang
Keyword(s):  
Economic Development ◽  
Big Data ◽  
High Speed ◽  
Control Strategies ◽  
Risk Control ◽  
Domestic Demand ◽  
Internet Technology ◽  
Consumer Finance ◽  
New Generation ◽  
Big Data Technology

China’s economic development is from high speed to high quality. Developing consumer finance has become a new growth point of China’s economic development and one of the important ways to expand domestic demand. Consumer finance is based on the development of new generation Internet technology and big data, becoming a new trend of China’s financial development and attracting the attention of various industries.

scholarly journals Machine Learning Based Mathematical Modelling for Prediction of Social Media Consumer behaviour using Big Data Analytics

2021 ◽  
Author(s):  
Kiran Chaudhary ◽  
Mansaf Alam ◽  
Mabrook S. Al-Rakhami ◽  
Abdu Gumaei
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Consumer Behaviour ◽  
Big Data Analytics ◽  
Quality Data ◽  
Volume Data ◽  
Process Data ◽  
Big Data Technology

Abstract Almost many consumers are inclined by social media to purchase the product and spend more money on purchasing. We got the data from social media to analyse the consumer behaviour. We have considered the consumer data from Facebook, Twitter, LinkedIn and YouTube. There is diversity and high-speed, high volume data is coming from social media, so we used big data technology. Big Data Technology is the recent technology is used in various field of research. In this paper we have used the concept of big data technology to process data and analyse to predict the consumer behaviour on social media. We have analysed the consumer behaviour based on certain parameter and criteria. we have analysed the consumer perception, attitude towards the social media. For doing the prediction we have pre-process the data to make the quality data so that we can take the quality decision based on outcome of our model. We have used the predictive big data analytics technique to analyse the consumer behaviour prediction in this paper.

scholarly journals B2C E-COMMERCE CUSTOMIZED LOGISTICS AREA INVENTORY ALLOCATION STRATEGY BASED ON CONSTRAINED CLUSTERING ALGORITHM

2018 ◽  
Vol 48 (3) ◽  
pp. 217-222
Author(s):  
J. K. HUANG
Keyword(s):  
Growth Rate ◽  
Clustering Algorithm ◽  
Online Shopping ◽  
Distribution Network ◽  
Distribution Area ◽  
Logistics Network ◽  
Logistics Distribution ◽  
Routing Optimization ◽  
Inventory Allocation ◽  
At Home

Logistics network includes regional logistics network and urban logistics network. In this paper, the urban logistics network is taken as the research object. With the improvement of the consumption level of the residents, the attention to quality has become an important reference standard for consumers to choose e-commerce, which makes the electric business shift from "price war" to "service war". Compared with past purchases in physical stores, most consumers prefer to choose convenient and fast online shopping. As a result, the size of the online shopping market has increased rapidly. According to statistics, the growth rate of the online shopping market in the past five years is over 100%, and the growth rate will slow down in the next few years, but it will still maintain steady growth. The importance of logistics for an e-business enterprise is obvious. The improvement and perfection of logistics distribution network is imminent. Scholars at home and abroad have studied this aspect for a long time. This research is based on the optimization of ecommerce logistics distribution network. By summing up the ideas and solutions proposed by researchers at home and abroad for this problem, and combining with the actual situation, a method of optimizing the B2C e-commerce logistics distribution network is designed. Considering the special traffic situation and the actual order demand in the city, the distribution area division, the distribution site stratification, the vehicle routing optimization and the logistics network optimization model are set up, and a combination of various methods is used to solve the problem.

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