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How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback

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Listed:
  • Xin Ye

    (School of Economics and Management, Dalian University of Technology, Dalian 116081, China)

  • Xiaoyan Su

    (School of Economics and Management, Dalian University of Technology, Dalian 116081, China)

  • Zhijun Yao

    (School of Economics and Management, Dalian University of Technology, Dalian 116081, China)

  • Lu-an Dong

    (School of Economics and Management, Dalian University of Technology, Dalian 116081, China)

  • Qiang Lin

    (School of Software Technology, Dalian University of Science and Technology, Dalian 116030, China)

  • Shuo Yu

    (School of Computer Science and Technology, Dalian University of Technology, Dalian 116081, China)

Abstract

Research on government service quality can help ensure the success of digital government services and has been the focus of numerous studies that proposed different frameworks and approaches. Most of the existing studies are based on traditional researcher-led methods, which struggle to capture the needs of citizens. In this paper, a citizen-feedback-based analysis framework was proposed to explore citizen demands and analyze the service quality of digital government. Citizen feedback data are a direct expression of citizens’ demands, so the citizen-feedback-based framework can help to obtain more targeted management insights and improve citizen satisfaction. Efficient machine learning methods used in the framework make data collection and processing more efficient, especially for large-scale internet data. With the crawled user feedback data from the Q&A e-government portal of Luzhou, Sichuan Province, China, we conducted experiments on the proposed framework to verify its feasibility. From citizens’ online feedback on Q&A services, we extracted five service quality factors: efficiency, quality, attitude, compliance, and execution of response. The analysis of five service quality factors provides some management insights, which can provide a guide for improvements in Q&A services.

Suggested Citation

  • Xin Ye & Xiaoyan Su & Zhijun Yao & Lu-an Dong & Qiang Lin & Shuo Yu, 2023. "How Do Citizens View Digital Government Services? Study on Digital Government Service Quality Based on Citizen Feedback," Mathematics, MDPI, vol. 11(14), pages 1-24, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3122-:d:1194452
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    References listed on IDEAS

    as
    1. Yueping Zheng & Hindy Lauer Schachter, 2017. "Explaining Citizens’ E-Participation Use: the Role of Perceived Advantages," Public Organization Review, Springer, vol. 17(3), pages 409-428, September.
    2. Chatterjee, Swagato & Goyal, Divesh & Prakash, Atul & Sharma, Jiwan, 2021. "Exploring healthcare/health-product ecommerce satisfaction: A text mining and machine learning application," Journal of Business Research, Elsevier, vol. 131(C), pages 815-825.
    3. Stuart J. Barnes & Richard Vidgen, 2004. "Interactive E-Government: Evaluating the Web Site of the UK Inland Revenue," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 2(1), pages 42-63, January.
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