Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)

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Customer Requirements Mining and Product Design Analysis Based on E-commerce Comment Data

Authors
Pei-yu Shi1, *, Jun-he Yu1
1Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang, China
*Corresponding author. Email: xun125286@sina.com
Corresponding Author
Pei-yu Shi
Available Online 10 November 2022.
DOI
10.2991/978-94-6463-005-3_3How to use a DOI?
Keywords
Requirements Mining; Online Comments; Kano Model; Customer Satisfaction
Abstract

Accurate mining of customer requirements (CR) can better improve the design of e-commerce products, and the Kano model is an approach to quantify CR satisfaction. Yet related parameters are mainly obtained by questionnaires. This study preliminarily extracts CR from online comment data by keyword frequency and then develops a Kano model-based method to quantitatively evaluate the degree to which CR affects the improvement of product attributes to obtain indices that scientifically contribute to the design and upgrade of corporate products. By applying online comment data mining, this method makes up defects such as biased information and expensive labor and time costs of questionnaires, and expands the possibility for enterprises to engage in e-commerce in the digital economy era. CR for air conditioners varies a lot, so taking air conditioners as an example, this study verifies the feasibility of replacing questionnaire surveys with data-driven requirements information mining.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
Series
Atlantis Highlights in Engineering
Publication Date
10 November 2022
ISBN
10.2991/978-94-6463-005-3_3
ISSN
2589-4943
DOI
10.2991/978-94-6463-005-3_3How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Pei-yu Shi
AU  - Jun-he Yu
PY  - 2022
DA  - 2022/11/10
TI  - Customer Requirements Mining and Product Design Analysis Based on E-commerce Comment Data
BT  - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
PB  - Atlantis Press
SP  - 14
EP  - 25
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-005-3_3
DO  - 10.2991/978-94-6463-005-3_3
ID  - Shi2022
ER  -