Translating the Customer's Feelings Into the Product Characteristics

Author:

Rianmora Suchada1,Mahitthiburin Kornpong1,Tongpinkaew Jinatta1

Affiliation:

1. Sirindhorn International Institute of Technology, Thammasat University, Thailand

Abstract

The aim of the article is to predict and recommend the guidelines for designing and selecting the new trend of product to meet customer requirements. Kansei engineering (KE) and factor analysis are applied as the tools for evaluating and translating customer feelings to physical design components. In order to demonstrate the proposed concepts, a vision correction eyewear for a round-faced customer has been used as the design case study. Trendy eyewear design is inspired by young people in urban areas; therefore, Bangkok metropolitan has been selected as the target area for launching surveys to observe customer perceptions. After applying KE and factor analysis on the interviewed data, the recommended sets of product characteristics are extracted and formed as the drafted designs that might satisfy the customer requirements. Moreover, using the proposed approach may help shop owners and manufacturers to offer the right products to the customers at the right time where the occurrence of overstocking or understocking situations may be reduced.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Product characteristics versus customer perceptions on a health-related product;Cogent Engineering;2023-09-06

2. Concept Development in a Walking Assistive Device;International Journal of Knowledge and Systems Science;2022-09-23

3. A Development of Computer Aided Program for Aluminium Die-Casting Mold Design;Engineering Journal;2022-03-31

4. Investigation on Viewing Behaviors for Home Shopping Channels Using Large-Scale TV Log Data;International Journal of Knowledge and Systems Science;2022-02-24

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