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

Siguang Dai, Zhongming Tang and Ling Zhou

International Journal of Information Technology and Management, 2025, vol. 24, issue 1/2, 37-51

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. (search for similar items in EconPapers)
Date: 2025
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