Abstract
Based on the cognition of stakeholders, this paper reveals the decision-making process of civil servants resisting open data based on perceived risks. Adopting grounded theory, this study interviewed 22 stakeholders to collect data and then identified four factors as the pillars of the theoretical framework: perception of risks, conservative organizational culture, insufficient external pressure and poor operability. After that, this paper constructed a model for the decision path, which explains the formation of perceived risks of civil servants, and it also explains how the perceived risks are transformed into resistance motivation and make a behavior decision. Based on the level of certainty, the decision environment can be divided into the resistance decision path under the determined environment and that under the uncertain environment. This study also summarizes that accountability and loss of interest are two types of risk that can be considered when civil servants decide not to open data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
The fourth edition of the Open Data Barometer Global Report. https://opendatabarometer.org/4thedition/report/. Accessed 11 Oct 2020
Wirtz, B.W., Piehler, R., Thomas, M.J., Daiser, P.: Resistance of public personnel to open government: a cognitive theory view of implementation barriers towards open government data. Public Manage. Rev. 18(9), 1335–1364 (2016)
Zuiderwijk, A., Janssen, M.: The negative effects of open government data-investigating the dark side of open data. In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 147–152. Aguascalientes, Mexico (2014)
Zuiderwijk, A., Gasco, M., Parycek, P., Janssen, M.: Special issue on transparency and open data policies: guest editors’ introduction. J. Theor. Appl. Electron. Commerce Res. 9(3), 1–9 (2014)
Wang, H., Lo, J.: Adoption of open government data among government agencies. Government Inf. Quarterly 33(1), 80–88 (2016)
Zuiderwijk, A., Janssen, M., Zhang, J., Puron-Cid, G., Gil-Garcia, J.R.: Towards decision support for disclosing data: closed or open data? Inf. Polity 20(2–3), 103–117 (2015)
Sayogo, D.S., Pardo, T.A.: Understanding smart data disclosure policy success: the case of Green Button, http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=43378AF938C653F9C1D9D5A180D59ECF?doi=10.1.1.364.7555&rep=rep1&type=pdf. Accessed 11 Oct 2020
Lab for Digital and Mobile Governance. China local government data opening report (2020). https://www.sohu.com/a/410044259_468661. Accessed 11 Oct 2020
Glaser, B.G.: Advances in the Methodology of Grounded Theory: Theoretical Sensitivity. Sociology Press, Mill Valley (1978)
Langley, A.: Strategies for theorizing from process data. Acad. Manage. Rev. 24(4), 691–710 (1999)
Ruijer, E., Detienne, F., Baker, M.J., Groff, J., Meijer, A.: The politics of open government data: understanding organizational responses to pressure for more transparency. The Am. Rev. Public Administration 50(3), 260–274 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Li, S., Chen, Y. (2021). Research on the Decision-Making Process of Civil Servant Resisting Open Data Based on Perceived Risks. In: Toeppe, K., Yan, H., Chu, S.K.W. (eds) Diversity, Divergence, Dialogue. iConference 2021. Lecture Notes in Computer Science(), vol 12646. Springer, Cham. https://doi.org/10.1007/978-3-030-71305-8_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-71305-8_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-71304-1
Online ISBN: 978-3-030-71305-8
eBook Packages: Computer ScienceComputer Science (R0)