Kansei engineering with online content mining for cross-border logistics service design

Yu Hsiang Hsiao, Mu-Chen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-143
Number of pages6
ISBN (Electronic)9781467389853
DOIs
StatePublished - 31 Aug 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 10 Jul 201614 Jul 2016

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Conference

Conference5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period10/07/1614/07/16

Keywords

  • Cross-border logistics service
  • Kansei engineering
  • Partial least squares
  • Service design
  • Text mining

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