Customer experience management influencing on human Kansei to MOT

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently knowledge obtained from customer experience is effective in producing and designing goods and products, especially ones that influence on Kansei and psychological aspects of consumers. If such methods can be summarized combined more organizedly into some theoretical methodology such knowledge will be more powerful. Furthermore, it is also possible to understand hit products and brand goods that have little understanding. The objective of the paper is to explain the relation and the meaning of Customer Experience Management approach, that is manufacturing and fabrication that influencing on the human Kansei to Management of Technology and Engineering (MOT).

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings
PublisherSpringer Verlag
Pages980-987
Number of pages8
ISBN (Print)3540465421, 9783540465423
DOIs
Publication statusPublished - 2006
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth, United Kingdom
Duration: 2006 Oct 92006 Oct 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4253 LNAI - III
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
CountryUnited Kingdom
CityBournemouth
Period06/10/906/10/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Nagasawa, S. (2006). Customer experience management influencing on human Kansei to MOT. In Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings (pp. 980-987). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III). Springer Verlag. https://doi.org/10.1007/11893011_124