S-curves analysis focusing on WOM for technological system evolution

Hiroshi Hasegawa, Yu Kozano, Kanako Goto

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

Abstract

Market competition is becoming more and more intense through globalization of products. And the technology is being improved sustainably, or new idea is being applied continuously for overcoming an existing technology. For the continuous and secure leadership of a market, we need to know the adoption timing of next-generation technology and next-development trends for technical systems. In this paper, we presented the product innovation understanding method based on the S-curve analysis with product quality focusing on Word of Mouth (WOM). The vacuum cleaner was chosen for product innovation understanding. The technological system evolution process of this product was analyzed using trends for the number of patents, the diffusion rate, and WOM information in Japan from the viewpoint of product quality. As the result, we confirmed that cyclone and robot type vacuums have become sustainable and disruptive innovations, respectively. Additionally, for using in S-curve analysis, the relation between WOM information and product quality was generalized by combining the S-curves of each quality's Negative /Positive ratio for WOM content.

Original languageEnglish
Title of host publicationProcedia Engineering
PublisherElsevier Ltd
Pages1094-1104
Number of pages11
Volume131
DOIs
Publication statusPublished - 2015
EventWorld Conference: TRIZ FUTURE 2011-2014 - Lausanne, Switzerland
Duration: 2014 Oct 292014 Oct 31

Other

OtherWorld Conference: TRIZ FUTURE 2011-2014
CountrySwitzerland
CityLausanne
Period14/10/2914/10/31

Fingerprint

Innovation
Vacuum cleaners
Vacuum
Robots

Keywords

  • Disruptive innovation
  • Innovator theory
  • Product quality
  • S-curve analysis
  • Sustainable innovation
  • Word of Mouth

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Hasegawa, H., Kozano, Y., & Goto, K. (2015). S-curves analysis focusing on WOM for technological system evolution. In Procedia Engineering (Vol. 131, pp. 1094-1104). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2015.12.427

S-curves analysis focusing on WOM for technological system evolution. / Hasegawa, Hiroshi; Kozano, Yu; Goto, Kanako.

Procedia Engineering. Vol. 131 Elsevier Ltd, 2015. p. 1094-1104.

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

Hasegawa, H, Kozano, Y & Goto, K 2015, S-curves analysis focusing on WOM for technological system evolution. in Procedia Engineering. vol. 131, Elsevier Ltd, pp. 1094-1104, World Conference: TRIZ FUTURE 2011-2014, Lausanne, Switzerland, 14/10/29. https://doi.org/10.1016/j.proeng.2015.12.427
Hasegawa H, Kozano Y, Goto K. S-curves analysis focusing on WOM for technological system evolution. In Procedia Engineering. Vol. 131. Elsevier Ltd. 2015. p. 1094-1104 https://doi.org/10.1016/j.proeng.2015.12.427
Hasegawa, Hiroshi ; Kozano, Yu ; Goto, Kanako. / S-curves analysis focusing on WOM for technological system evolution. Procedia Engineering. Vol. 131 Elsevier Ltd, 2015. pp. 1094-1104
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