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Resistance of Public Personnel to Open Government: A cognitive theory view of implementation barriers towards open government data

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  • Bernd W. Wirtz
  • Robert Piehler
  • Marc-Julian Thomas
  • Peter Daiser

Abstract

Open government has become an important topic in democratically developed societies. Its key aims are to increase transparency, citizen trust and public participation. Against this background, the article focuses on perceived barriers opposing the introduction of open government data. On the basis of cognitive theory and a literature review, the essential factors that impede public servants in implementing open government data are conceptualized and summarized in a model. The perceived risk-based attitude of public servants is identified as the main barrier. Other significant obstacles include perceived legal barriers, perceived hierarchical structuring of authorities, perceived bureaucratic decision-making culture and perceived organizational transparency.

Suggested Citation

  • Bernd W. Wirtz & Robert Piehler & Marc-Julian Thomas & Peter Daiser, 2016. "Resistance of Public Personnel to Open Government: A cognitive theory view of implementation barriers towards open government data," Public Management Review, Taylor & Francis Journals, vol. 18(9), pages 1335-1364, October.
    • Handle: RePEc:taf:rpxmxx:v:18:y:2016:i:9:p:1335-1364
    DOI: 10.1080/14719037.2015.1103889
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    Cited by:

    1. Ibrahim Mutambik & John Lee & Abdullah Almuqrin & Justin Zuopeng Zhang, 2023. "Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture," Sustainability, MDPI, vol. 15(13), pages 1-22, July.
    2. Seunghwan Myeong & Michael J. Ahn & Younhee Kim & Shengli Chu & Woojong Suh, 2021. "Government Data Performance: The Roles of Technology, Government Capacity, and Globalization through the Effects of National Innovativeness," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    3. Yi Luo & Zhiwei Tang & Peiqi Fan, 2021. "Could Government Data Openness Enhance Urban Innovation Capability? An Evaluation Based on Multistage DID Method," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    4. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    5. Adam S. Harris & Brigitte Seim & Rachel Sigman, 2020. "Information, accountability and perceptions of public sector programme success: A conjoint experiment among bureaucrats in Africa," Development Policy Review, Overseas Development Institute, vol. 38(5), pages 594-612, September.
    6. Diego Cagigas & Judith Clifton & Daniel Díaz-Fuentes & Marcos Fernández-Gutiérrez & Juan Echevarría-Cuenca & Celia Gilsanz-Gómez, 2022. "Explaining public officials’ opinions on blockchain adoption: a vignette experiment [Robots and jobs: Evidence from US labor markets]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 41(3), pages 343-357.
    7. Tian Jin & Cheng Dong, 2023. "Technical Foundation, External Environment, and Government Internet Service Capability: Evidence From China," SAGE Open, , vol. 13(4), pages 21582440231, October.
    8. Ibrahim Mutambik & Abdullah Almuqrin & John Lee & Jeffrey Gauthier & Abdullah Homadi, 2022. "Open Government Data in Gulf Cooperation Council Countries: An Analysis of Progress," Sustainability, MDPI, vol. 14(12), pages 1-18, June.

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