Title: An evaluation method of government digital service quality based on big data

Authors: Siguang Dai; Zhongming Tang; Ling Zhou

Addresses: School of Management, Hubei University of Education, Wuhan 430205, China ' School of Management, Hubei University of Education, Wuhan 430205, China ' School of Management, Hubei University of Education, Wuhan 430205, China

Abstract: Aiming at the problems of low accuracy and poor reliability of government service quality evaluation, this paper proposes a government digital service quality evaluation method based on big data. Firstly, the tree structure of index selection was obtained by big data analysis method, and the service quality evaluation index was selected. Secondly, the factor analysis method is used to analyse the reasonability of each evaluation factor and construct the evaluation system. Secondly, it obtains the government digital service data, and finally calculates the weight of service quality evaluation index. According to the clustering of big data, the fuzzy language is integrated and processed to realise the evaluation of government digital service quality. The results show that the evaluation time of the proposed method is not more than 29 s, and the consistency coefficient value of quality evaluation accuracy is 0.79. It has high evaluation efficiency and accuracy.

Keywords: big data; government digital service; quality evaluation; evaluation index; fuzzy logic.

DOI: 10.1504/IJITM.2025.144111

International Journal of Information Technology and Management, 2025 Vol.24 No.1/2, pp.37 - 51

Received: 27 Jun 2022
Accepted: 23 Sep 2022
Published online: 28 Jan 2025 *

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