Understanding civil servants' intentions to open data

Understanding civil servants' intentions to open data: factors influencing behavior to disclose data

Kleiman, F. (TU Delft Transport and Logistics; TU Delft Information and Communication Technology)
Jansen, S.J.T. (TU Delft Real Estate Management)
Meijer, Sebastiaan (KTH Royal Institute of Technology)
Janssen, M.F.W.H.A. (TU Delft Engineering, Systems and Services)

Engineering, Systems and Services

2023

Purpose: The opening of government data is high on the policy agenda of governments worldwide. However, data release faces barriers due to limited support of civil servants, whereas the literature neglects civil servants' role in opening data. This paper aims at understanding why civil servants can be reluctant to support the disclosure of data. The authors developed a model to explain civil servants' behavioral intention to open data. Design/methodology/approach: The authors test a series of hypotheses by collecting and analyzing survey data from 387 civil servants and by applying multivariate hierarchical regression. Findings: The results indicate the factors influencing the behavior of civil servants. Social influences, performance expectancy, data management knowledge and risks have a significant influence. Personal characteristics control these effects. Research limitations/implications: Caution is needed to generalize the findings towards the support to open data provision by civil servants. Though the analyzed sample was limited to Brazil, other countries and cultures might yield different outcomes. Larger and more diversified samples might indicate significant effects on variables not found in this research. Practical implications: The insights can be used to develop policies for increasing the support of civil servants towards governmental data disclosure. Originality/value: This study suggests factors of influence to civil servants' behavior intentions to disclose governmental data. It results in a model of factors, specifically for their behavioral intention at the individual level.

Adoption
Attitude
Barriers
Behavior
Learning
Open data
Open government

http://resolver.tudelft.nl/uuid:532b290e-a934-4f9d-b23a-a2c7578ecf75

https://doi.org/10.1108/ITP-12-2020-0893

2023-09-09

0959-3845

Information Technology and People, 37 (2)

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2023 F. Kleiman, S.J.T. Jansen, Sebastiaan Meijer, M.F.W.H.A. Janssen