Integrating affective features with engineering features to seek the optimal product varieties with respect to the niche segments

Chih-Hsuan Wang*, Hsin Tze Chin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In recent years, the popularity of smart phones substantially leads to poor sales of the low-end digital cameras. One of the most astounding industry news is Kodak's bankruptcy in 2011 although Kodak was a pioneer in the field of digital still cameras. In reality, not only functional capability but also affective design can influence user purchase intentions on consumer electronics. In this paper, both affective features (AFs), and engineering features (EFs) are considered to achieve successful product planning. In particular, two critical issues are addressed: (1) market partitioning and (2) product differentiation. Initially, Kansei engineering is employed to capture user attitude toward AFs. Then, a classification tree is constructed to carry out effective market partitioning. Secondly, correspondence analysis is applied to capture user perceptions of EFs for identifying the core features that best characterize distinct market segments. Finally, VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) ranking is conducted to prioritize various product portfolios to accomplish product differentiation. In summary, the presented framework can help industrial practitioners transform diverse customer requirements into attractive alternatives while keep controllable manufacturing costs.

Original languageEnglish
Pages (from-to)350-359
Number of pages10
JournalAdvanced Engineering Informatics
Volume33
DOIs
StatePublished - 1 Aug 2017

Keywords

  • Classification tree
  • Correspondence analysis
  • Kansei engineering
  • Market partitioning
  • Product differentiation
  • VIKOR ranking

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