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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages980-987
Number of pages8
Volume4253 LNAI - III
Publication statusPublished - 2006
Event10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 - Bournemouth
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)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006
CityBournemouth
Period06/10/906/10/11

Fingerprint

Customers
Psychology
Technology
Hits
Fabrication
Manufacturing
Engineering
Methodology
Knowledge
Human
Experience
Influence
Meaning

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Nagasawa, S. (2006). Customer experience management influencing on human Kansei to MOT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4253 LNAI - III, pp. 980-987). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III).

Customer experience management influencing on human Kansei to MOT. / Nagasawa, Shinya.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4253 LNAI - III 2006. p. 980-987 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4253 LNAI - III).

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

Nagasawa, S 2006, Customer experience management influencing on human Kansei to MOT. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4253 LNAI - III, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4253 LNAI - III, pp. 980-987, 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, Bournemouth, 06/10/9.
Nagasawa S. Customer experience management influencing on human Kansei to MOT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4253 LNAI - III. 2006. p. 980-987. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Nagasawa, Shinya. / Customer experience management influencing on human Kansei to MOT. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4253 LNAI - III 2006. pp. 980-987 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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