Quotation Leo, Hannes, May, John, Taudes, Alfred. 2015. Evaluation of E-Participation Efficiency with Biodiversity Measures - the Case of the Digital Agenda Vienna. In CeDEM15 Conference for E-Democracy and Open Governement, Hrsg. Peter Parycek, Noella Edelmann, S. 65-76. Krems: -




We introduce the Effective Number of Issues measure for e-participation efficiency. This novel index is based on the Shannon entropy measure of biodiversity and summarizes the amount of information gained through an e-participation project in one number. This makes the comparison between different e-participation projects straightforward and lays the foundation for the rigorous analysis of success factors of e-participation projects in a data-driven way. After providing the formula and rationale for the new measure we use the ENI index to benchmark the idea generation process for the digital agenda Vienna against other projects. It turns out that the efficiency of this project is significantly higher than those observed for other cases. We conjecture that this can be attributed to the user-friendly design of the software platform and the effective communication strategy of the process management. Finally, suggestions for further research are given.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Evaluation of E-Participation Efficiency with Biodiversity Measures - the Case of the Digital Agenda Vienna
Title of whole publication CeDEM15 Conference for E-Democracy and Open Governement
Editor Peter Parycek, Noella Edelmann
Page from 65
Page to 76
Location Krems
Publisher -
Year 2015
ISBN 978-3-902505-69-9
URL http://www.donau-uni.ac.at/imperia/md/content/department/gpa/zeg/bilder/cedem/cedem15/cedem15_oa_proceedings.pdf


Taudes, Alfred (Details)
Leo, Hannes (cbased - Community-based Innovation Systems GmbH, Austria)
May, John (Independent Researcher and Consultant, United Kingdom)
Institute for Production Management (Taudes) (Details)
Research Institute for Supply Chain Management FI (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1121 Operations research (Details)
1122 Artificial intelligence (Details)
5306 Business data processing (Details)
5310 Manufacturing (Details)
5316 Industrial management (Details)
5333 Business management (Details)
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