In order to know the current collaborative development situation and relationship of E-commerce and logistics, the paper evaluates the whole collaborative development level of Chinese E-commerce and logistics from 200...In order to know the current collaborative development situation and relationship of E-commerce and logistics, the paper evaluates the whole collaborative development level of Chinese E-commerce and logistics from 2008 to 2014 using the DEA model. Fund, infrastructure, labor and collaborative development are evaluated and analyzed in this model. The research indicates that E-commerce facilitates the logistics development but logistics can’t support E-commerce development well due to the lag effect which leads to lower collaborative development level. So optimizing the ratio of logistics investment and output, promoting logistics service quality and accelerating logistics development have been the key factors for promoting the collaborative development of E-commerce and logistics.展开更多
Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales ...Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales data of a fresh food e-commerce enterprise as the logistics demand, analyzes the influence of time and meteorological factors on the demand, extracts the characteristic factors with greater influence, and proposes a logistics demand forecast scheme of fresh food e-commerce based on the Bi-LSTM model. The scheme is compared with other schemes based on the BP neural network and LSTM neural network models. The experimental results show that the Bi-LSTM model has good prediction performance on the problem of logistics demand prediction. This facilitates further research on some supply chain issues, such as business decision-making, inventory control, and logistics capacity planning.展开更多
This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the...This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.展开更多
With the rapid growth of E-logistics in the global logistics industry,it is important to get insight into E-logistics system in Chinese logistics industry.Regarding the current situation of E-logistics of Chinese logi...With the rapid growth of E-logistics in the global logistics industry,it is important to get insight into E-logistics system in Chinese logistics industry.Regarding the current situation of E-logistics of Chinese logistics industry,there are still many problems to be concerned and resolved.This paper will review the concepts and theoretical background of E-logistics System from previous researches.After acknowledging the essential issues on E-logistics System,a research model is designed and tested based on the Theory Acceptance Model.This research aims to provide theoretical and practical contributions for Chinese logistics companies to enhance understanding on E-logistics System.It also provides some useful theoretical implication and practical guidelines for the development of E-logistics System in Chinese logistics industry.展开更多
Rural e-commerce and logistics development is of great significance to promote rural economic development and increase farmers' income. This paper analyzed existing problems in development of rural e-commerce and ...Rural e-commerce and logistics development is of great significance to promote rural economic development and increase farmers' income. This paper analyzed existing problems in development of rural e-commerce and logistics in China,mainly including objective restriction of rural e-commerce and logistics by economic level,relatively backward capital construction facilities,lack of logistics information service platform,and insufficient professional personnel,and shortage of rural logistics professional personnel,and weak financial support of government. On the basis of these problems,it came up with pertinent recommendations from government,enterprises,and rural areas.展开更多
The logistics resource in China's automobile group can't be optimized and allocated because of the "information island" problem in the group's logistics information platform in the whole group. I...The logistics resource in China's automobile group can't be optimized and allocated because of the "information island" problem in the group's logistics information platform in the whole group. In addition,it is the development trend of China's automobile group LIN to build a logistics e-market in the range of the group.展开更多
文摘In order to know the current collaborative development situation and relationship of E-commerce and logistics, the paper evaluates the whole collaborative development level of Chinese E-commerce and logistics from 2008 to 2014 using the DEA model. Fund, infrastructure, labor and collaborative development are evaluated and analyzed in this model. The research indicates that E-commerce facilitates the logistics development but logistics can’t support E-commerce development well due to the lag effect which leads to lower collaborative development level. So optimizing the ratio of logistics investment and output, promoting logistics service quality and accelerating logistics development have been the key factors for promoting the collaborative development of E-commerce and logistics.
文摘Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales data of a fresh food e-commerce enterprise as the logistics demand, analyzes the influence of time and meteorological factors on the demand, extracts the characteristic factors with greater influence, and proposes a logistics demand forecast scheme of fresh food e-commerce based on the Bi-LSTM model. The scheme is compared with other schemes based on the BP neural network and LSTM neural network models. The experimental results show that the Bi-LSTM model has good prediction performance on the problem of logistics demand prediction. This facilitates further research on some supply chain issues, such as business decision-making, inventory control, and logistics capacity planning.
文摘This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.
基金Supported by Youth Fellowship Training Program(12myQP06)
文摘With the rapid growth of E-logistics in the global logistics industry,it is important to get insight into E-logistics system in Chinese logistics industry.Regarding the current situation of E-logistics of Chinese logistics industry,there are still many problems to be concerned and resolved.This paper will review the concepts and theoretical background of E-logistics System from previous researches.After acknowledging the essential issues on E-logistics System,a research model is designed and tested based on the Theory Acceptance Model.This research aims to provide theoretical and practical contributions for Chinese logistics companies to enhance understanding on E-logistics System.It also provides some useful theoretical implication and practical guidelines for the development of E-logistics System in Chinese logistics industry.
文摘Rural e-commerce and logistics development is of great significance to promote rural economic development and increase farmers' income. This paper analyzed existing problems in development of rural e-commerce and logistics in China,mainly including objective restriction of rural e-commerce and logistics by economic level,relatively backward capital construction facilities,lack of logistics information service platform,and insufficient professional personnel,and shortage of rural logistics professional personnel,and weak financial support of government. On the basis of these problems,it came up with pertinent recommendations from government,enterprises,and rural areas.
文摘The logistics resource in China's automobile group can't be optimized and allocated because of the "information island" problem in the group's logistics information platform in the whole group. In addition,it is the development trend of China's automobile group LIN to build a logistics e-market in the range of the group.
