Purpose： This research attempts to examine the relationship between B2C interaction and customer loyalty in Business-to-Customer（B2C） context from a new perspective of the interactive tool.Design/methodology/appro...Purpose： This research attempts to examine the relationship between B2C interaction and customer loyalty in Business-to-Customer（B2C） context from a new perspective of the interactive tool.Design/methodology/approach： The scale for B2C interactive tools is of seven dimensions： efficiency, security, fulfillment, mobility, community, cultivation, and customization. A model reflecting the influences of these attributes on customer loyalty is developed and empirically examined based on data collected from 265 B2C customers. Findings： Results reveal that the fulfillment, mobility, community, and customization of B2C interactive tools can enhance customer loyalty directly and significantly. Efficiency and security, serving as the premise for possible purchase behavior, facilitate fulfillment. In addition, cultivation promotes the formation of customization, which directly strengthens customer loyalty.Research limitations： Models considering individual-level indicators and combined with classic loyalty mechanisms in B2C context may lead to a deeper understanding of the tested effects of interaction on customer loyalty.Practical implications： To strengthen B2C interaction and further cultivate loyal customers, making interactive tools more fundamental, flexible, and personalized is critical for B2C enterprises. Originality/value： This study proposes a new perspective from interactive tools when measuring the relationship between B2C interaction and customer loyalty, and offers a useful theoretical lens and reasonable explanations for investigating customer loyalty in B2C e-commerce context.展开更多
New requirements have been put forward by the age of "Internet+" to improve the abilities of reform,transformation and innovation for traditional carpet industry in combining the technology of the fully digi...New requirements have been put forward by the age of "Internet+" to improve the abilities of reform,transformation and innovation for traditional carpet industry in combining the technology of the fully digital fabric tufting and the system of networked intelligent customization that forms C2B mode of personalized customization of the digital carpet to promote the carpet industry to develop towards individuation,intelligence and high efficiency. Exploring the market background of C2B mode of intelligent customization of the digital carpet and developing the technology of the fully digital fabric tufting makes it possible to achieve personalized customization of the digital carpet. The industrial internet which is integrated by a lot of robots of the fully digital fabric tufting will change completely traditional carpet industry.展开更多
To deal with the data mining problem of asymmetry misclassification cost, an innovative churn prediction method is proposed based on existing churn prediction research. This method adjusts the misclassification cost b...To deal with the data mining problem of asymmetry misclassification cost, an innovative churn prediction method is proposed based on existing churn prediction research. This method adjusts the misclassification cost based on the C4. 5 decision tree as a baseline classifier, which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost, to realize cost-sensitive learning. Results from customer data of a certain Chinese telecommunication company and the fact that the churners and the non-churners have different misclassification costs demonstrate that by altering the sampling ratio of churners and non-churners, this cost-sensitive learning method can considerably reduce the total misclassification cost produced by traditional classification methods. This method can also play an important role in promoting core competence of Chinese telecommunication industry.展开更多
基金supported in part by the Social Science Foundation of Jiangsu (Grant No.: 17TQB003)
文摘Purpose： This research attempts to examine the relationship between B2C interaction and customer loyalty in Business-to-Customer（B2C） context from a new perspective of the interactive tool.Design/methodology/approach： The scale for B2C interactive tools is of seven dimensions： efficiency, security, fulfillment, mobility, community, cultivation, and customization. A model reflecting the influences of these attributes on customer loyalty is developed and empirically examined based on data collected from 265 B2C customers. Findings： Results reveal that the fulfillment, mobility, community, and customization of B2C interactive tools can enhance customer loyalty directly and significantly. Efficiency and security, serving as the premise for possible purchase behavior, facilitate fulfillment. In addition, cultivation promotes the formation of customization, which directly strengthens customer loyalty.Research limitations： Models considering individual-level indicators and combined with classic loyalty mechanisms in B2C context may lead to a deeper understanding of the tested effects of interaction on customer loyalty.Practical implications： To strengthen B2C interaction and further cultivate loyal customers, making interactive tools more fundamental, flexible, and personalized is critical for B2C enterprises. Originality/value： This study proposes a new perspective from interactive tools when measuring the relationship between B2C interaction and customer loyalty, and offers a useful theoretical lens and reasonable explanations for investigating customer loyalty in B2C e-commerce context.
文摘New requirements have been put forward by the age of "Internet+" to improve the abilities of reform,transformation and innovation for traditional carpet industry in combining the technology of the fully digital fabric tufting and the system of networked intelligent customization that forms C2B mode of personalized customization of the digital carpet to promote the carpet industry to develop towards individuation,intelligence and high efficiency. Exploring the market background of C2B mode of intelligent customization of the digital carpet and developing the technology of the fully digital fabric tufting makes it possible to achieve personalized customization of the digital carpet. The industrial internet which is integrated by a lot of robots of the fully digital fabric tufting will change completely traditional carpet industry.
文摘To deal with the data mining problem of asymmetry misclassification cost, an innovative churn prediction method is proposed based on existing churn prediction research. This method adjusts the misclassification cost based on the C4. 5 decision tree as a baseline classifier, which can obtain the prediction model with a minimum error rate based on the assumption that all misclassifications have the same cost, to realize cost-sensitive learning. Results from customer data of a certain Chinese telecommunication company and the fact that the churners and the non-churners have different misclassification costs demonstrate that by altering the sampling ratio of churners and non-churners, this cost-sensitive learning method can considerably reduce the total misclassification cost produced by traditional classification methods. This method can also play an important role in promoting core competence of Chinese telecommunication industry.
