Sengewald T, Riemer M, Posselt T (2024)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2024
Conference Proceedings Title: Proceedings EGOV-CeDEM-ePart conference
Event location: Ghent University and KU Leuven, Ghent/ Leuven, Belgium
URI: https://ceur-ws.org/Vol-3737/paper9.pdf
Open Access Link: https://ceur-ws.org/Vol-3737/paper9.pdf
As governments at different levels – federal, state, and local – face complex societal challenges such as climate change or the transformation towards smart cities, efforts to engage civil society in decision-making and planning processes are increasing. However, not all citizens/residents are equally involved and broad participation is sometimes absent. Two bodies of literature are especially relevant to understanding potential barriers to participation that can lead to inequitable involvement in digital public decision-making: citizen/resident participation and public open innovation. Both must consider the reasons why residents may be unaware, unwilling, or unable to participate and find new ways to approach them, especially those who are marginalized and historically underrepresented. To assist practitioners and scholars in categorizing existing knowledge on barriers, we used a design sciences research approach to create a taxonomy for classifying resident engagement barriers in public open innovation. The final taxonomy consists of two dimensions and 14 characteristics. Public sector professionals, consultants and academics can use this taxonomy as a shared language to identify potential barriers and improve their engagement with residents.
APA:
Sengewald, T., Riemer, M., & Posselt, T. (2024). A taxonomy of resident engagement barriers in public open innovation. In Proceedings EGOV-CeDEM-ePart conference. Ghent University and KU Leuven, Ghent/ Leuven, Belgium, BE.
MLA:
Sengewald, Timon, Manuel Riemer, and Tim Posselt. "A taxonomy of resident engagement barriers in public open innovation." Proceedings of the EGOV-CeDEM-ePart conference, Ghent University and KU Leuven, Ghent/ Leuven, Belgium 2024.
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