@inproceedings{456a33b7e22d48e0b818f7a0cee1b0a7,
title = "Kansei engineering with online content mining for cross-border logistics service design",
abstract = "A satisfactory cross-border logistics service (CBLS) can help promote business activities in cross-border e-commerce. 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.",
keywords = "Cross-border logistics service, Kansei engineering, Partial least squares, Service design, Text mining",
author = "Hsiao, {Yu Hsiang} and Mu-Chen Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 ; Conference date: 10-07-2016 Through 14-07-2016",
year = "2016",
month = aug,
day = "31",
doi = "10.1109/IIAI-AAI.2016.12",
language = "English",
series = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "138--143",
editor = "Ayako Hiramatsu and Tokuro Matsuo and Akimitsu Kanzaki and Norihisa Komoda",
booktitle = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
address = "United States",
}