Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis

Yu Hsiang Hsiao*, Mu-Chen Chen, Wei Chien Liao

*Corresponding author for this work

研究成果: Article同行評審

65 引文 斯高帕斯(Scopus)

摘要

With the rapid development of cross-border e-commerce, the demand for and importance of cross-border logistics service (CBLS) also increase. A satisfactory CBLS can help promote business activities in cross-border e-commerce. Because customers’ logistical needs are increasingly complex and the logistics market is increasingly competitive, a CBLS provider has to be devoted to continually improving and differentiating services to maintain its competitive advantage. Kansei engineering (KE) is an approach to design the elements which satisfy customers’ affective and emotional perceptions into services and products. In this study, the KE approach is applied to derive ideas for the development of CBLS. For this purpose, Partial Least Squares (PLS) is used to analyze the relationships between the feelings of customers and service elements of CBLS. Moreover, this study demonstrates the applications of text mining techniques to analyze the online contents regarding CBLS. Online content mining assists in identifying the service elements and Kansei words for CBLS. Importantly, the relationship between the feelings of customers and service elements of CBLS obtained by online content mining provides complementary results for CBLS design. Relevance to industry: this study offers an exemplification on applying the integration of Kansei engineering and online content analysis to obtain ideas for the process Kansei design in service industry. Our findings imply that in addition to conventional customer survey, user generated online content analysis should be effective way of catching customer-oriented design elements; they provide complementary effects for Kansei design.

原文English
頁(從 - 到)284-302
頁數19
期刊Telematics and Informatics
34
發行號4
DOIs
出版狀態Published - 1 七月 2017

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