Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Improvement of Adjustment Coefficient of User Demand Importance Based on Competitiveness Analysis

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2342006,
        author={Fuyan  Zong and Xiangju  Liu and Chenyang  Yan and Shi  Wang and Xinshu  Liu and Jiawen  Yu},
        title={Improvement of Adjustment Coefficient of User Demand Importance Based on Competitiveness Analysis},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={user needs; fuzzy kano model; customer satisfaction rate;topic model},
        doi={10.4108/eai.27-10-2023.2342006}
    }
    
  • Fuyan Zong
    Xiangju Liu
    Chenyang Yan
    Shi Wang
    Xinshu Liu
    Jiawen Yu
    Year: 2024
    Improvement of Adjustment Coefficient of User Demand Importance Based on Competitiveness Analysis
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2342006
Fuyan Zong1,*, Xiangju Liu1, Chenyang Yan1, Shi Wang1, Xinshu Liu1, Jiawen Yu1
  • 1: Qilu Institute of Technology
*Contact email: 1459112029@qq.com

Abstract

In order to study the influencing factors of customer satisfaction, a demand importance research method combining KANO model and competitiveness analysis is proposed. The classified user demand categories were visualized in word cloud, the top N maximum probability terms under each topic were selected as product features, and the attribute-element-comment tripartite mapping was completed based on clustering. The fuzzy KANO model was introduced to set up questionnaires, and the obtained various demand elements were divided into fine-grained categories. Finally, the importance of competitive products is introduced as an improvement coefficient to carry out competitiveness analysis to find out the importance of different needs to improve user satisfaction. The priority order of demand importance under user reviews is refined, and the differentiation of demand importance difference is significant, so as to further guide enterprises to obtain maximum user satisfaction with minimum investment. The validity of this method is proved by the test of customer satisfaction of Xiaomi mobile phone.