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Citizens’ Continuous-Use Intention to Open Government Data: Empirical Evidence from China

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Big Data – BigData 2021 (BigData 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12988))

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Abstract

An improved understanding of the factors that influence citizens’ continuance use intention will help to promote and improve the practice of open government data. This paper constructs an integrated model that provides insight into factors that influence citizens’ continued intention to use open government data. The model contains 296 effective samples from questionnaires, which are then tested by the Structural Equation Model. It is found that perceived usefulness and satisfaction significantly affect the public’s continuous adoption of OGD; expectation confirmation significantly affects satisfaction and perceived usefulness, and thus indirectly affects the public’s continuous adoption of OGD; perceived ease of use significantly affects the satisfaction, trust in government and trust in the Internet significantly affects the expectation confirmation. But perceived usefulness, trust in government and trust in the Internet had no significant effect on public satisfaction.

This paper is supported by the soft science Project of Shandong Province, China (Grant No. 2021RKY01013).

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Notes

  1. 1.

    http://www.cac.gov.cn/2019zt/44/index.html.

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Author information

Authors and Affiliations

  1. School of Management Science and Engineering, Shandong Institute of Business and Technology, YanTai, China

    Hui Jiang

  2. School of Information Management, Central China Normal University, Wuhan, China

    Hui Jiang, Yaoqing Duan & Yongdi Zhu

Authors
  1. Hui Jiang
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  2. Yaoqing Duan
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  3. Yongdi Zhu
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Corresponding author

Correspondence to Hui Jiang .

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Editors and Affiliations

  1. University of North Carolina, Charlotte, NC, USA

    Jinpeng Wei

  2. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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Jiang, H., Duan, Y., Zhu, Y. (2022). Citizens’ Continuous-Use Intention to Open Government Data: Empirical Evidence from China. In: Wei, J., Zhang, LJ. (eds) Big Data – BigData 2021. BigData 2021. Lecture Notes in Computer Science(), vol 12988. Springer, Cham. https://doi.org/10.1007/978-3-030-96282-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-96282-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96281-4

  • Online ISBN: 978-3-030-96282-1

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