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Academic Journal of Business & Management, 2024, 6(2); doi: 10.25236/AJBM.2024.060237.

Research on Business Satisfaction of Beijing Mobile Customers Based on Comprehensive Weight Evaluation Model

Author(s)

Jingwen Jiang

Corresponding Author:
Jingwen Jiang
Affiliation(s)

School of Business, Xi 'an International Studies University, Xi'an, 710128, China

Abstract

With the development of the information age, each mobile operator pays more and more attention to customers' network experience. In order to investigate the influencing factors of customers' voice service and Internet service experience, this paper firstly preprocesses the data by using spss, and secondly determines whether there is a linear relationship between the independent variable and the dependent variable, and analyzes the correlation by using Pearson's correlation coefficient. After that, we combined the principal component analysis method to reduce the dimensionality of the above variable indicators, and screened out the important influence indicators. Finally, using hierarchical analysis method (AHP), entropy weight method and decision power coefficient to carry out comprehensive weight analysis on the weight of each indicator, so as to summarize the main factors affecting customers' satisfaction with voice service and Internet service.

Keywords

Customer satisfaction, Pearson coefficient, PCA, AHP, Entropy weighting

Cite This Paper

Jingwen Jiang. Research on Business Satisfaction of Beijing Mobile Customers Based on Comprehensive Weight Evaluation Model. Academic Journal of Business & Management (2024) Vol. 6, Issue 2: 261-267. https://doi.org/10.25236/AJBM.2024.060237.

References

[1] Xu Xiaojin. Research on Satisfaction evaluation of prefabricated housing based on consumer perspective [D]. Suzhou university of science and technology, 2022. DOI: 10.27748 /, dc nki. GSZKJ. 2021.000406.

[2] Miao Yingchun, Li Rui. Satisfaction analysis of community residents' health service accessibility based on principal component analysis: A case study of Taiyuan City, Shanxi Province [J]. Jinyang journal, 2023 (01): 109-117. The DOI: 10.16392 / j.carol carroll nki. 14-1057 / c. 2023.01.008.

[3] Lu Jing, Deng Lili. Satisfaction analysis of university library resource use based on Analytic Hierarchy Process and fuzzy comprehensive evaluation method: A case study of Beibu Gulf University [J]. Journal of Baise College, 2019,36(03)

[4] Wang Na, Li Jie. User Satisfaction evaluation of FAQ question answering System based on AHP-entropy weight method: A case study of university library question answering robot [J]. Information Science, 2019,41(09)

[5] Geng Yuming. Analysis on the impact of digital RMB on mobile payment users' satisfaction [D]. Hebei University, 2022.

[6] CAI Zhixin. Research on Improving Customer Satisfaction in Communication Industry [D]. Jiangxi University of Finance and Economics, 2018.

[7] Gao J .Research on Comprehensive Evaluation of Customer Satisfaction of Computer Products[C]//International Conference on Machinery, Materials and Computer.2018.

[8] Zhu Shengyao, Chen Jinjie. Research on global temperature prediction based on grey prediction and BP neural network [J]. Journal of Software Guide, 2019, 19(02):105-109. 

[9] Wang Lianfen, Xu Shubai. Introduction to Analytic hierarchy process. Beijing Chinese People's Studies Press.1992.