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Open Government Data and Value Creation: Exploring the Roles Canadian Data Intermediaries Play in the Value Creation Process

Open Government Data, an initiative of the open government movement, is believed to have the potential to increase government transparency, accountability, and citizens' participation in government affairs. It is also posited that they will contribute to economic growth and value creation. The Canadian federal, provincial, and local governments have been actively opening and releasing open datasets about multiple subjects of interest to the public. However, evidence of the benefits of using open datasets is scant, with no empirical research undertaken to understand how the data are used and what value is being created. This study, based on a qualitative, grounded theory method, focuses on the works and experiences of 17 Canadian open data intermediary firms to discover patterns and themes that explain how the data were used, what resources were needed, the value created, and the challenges faced.

The data collection is based on semi-structured interviews conducted virtually with the founder or company's executives. The data analysis provided insights into how open government data were used, the organizational challenges the open data intermediaries faced, the state of open government data, and the economic value created. The findings highlighted the key similarities and differences in the activities the open data intermediaries performed and the importance of resources and capabilities in developing products/services that contribute to economic value creation. The study concluded by listing five challenges impacting the use of open government data: (a) awareness, (b) quality of open government data, (c) competencies of users, (d) data standards, and (e) value creation.

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/44448
Date03 January 2023
CreatorsMerhi, Salah
ContributorsLuppicini, Rocci
PublisherUniversité d'Ottawa / University of Ottawa
Source SetsUniversité d’Ottawa
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf
RightsAttribution-NonCommercial-NoDerivatives 4.0 International, http://creativecommons.org/licenses/by-nc-nd/4.0/

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