Identifying mechanisms for achieving voluntary data sharing in cross-sector partnerships for public good

Iryna Susha*, Boriana Rukanova, J. Ramon Gil-Garcia, Yao Hua Tan, Mila Gasco Hernandez

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)
47 Downloads (Pure)


It has been advocated that sharing business data can generate public value. Still this information sharing often needs to be done on voluntary basis and that often poses major challenges. The main research question addressed in this paper is: How is voluntary information sharing to create public value achieved and what are the drivers and mechanisms to achieve that? While voluntary information sharing to achieve public value is recognized in the eGovernment literature, this literature is limited to understand how such information sharing can be achieved. To address the research question, we borrow a framework of platforms for cross sector social partnerships from organization studies and use it as a conceptual lens to structure the analysis of three case studies where voluntary information sharing was achieved in different domains. Building on the framework and our case analysis, we distinguish three types of information sharing collaborations, namely Resource-dependence platform, Social Issue platform, and Societal Sector platform which allow to distinguish the motivations why parties enter into voluntary information sharing collaborations. Our analysis suggests that while the higher goal of the voluntary information sharing may be the same (i.e. to create public value), parties are driven by different motivations of why they enter into the information sharing collaborations. Furthermore, in each of these different types of collaborations the mechanisms of how the information sharing was achieved, as well as the role the government can play, differ.

Original languageEnglish
Title of host publicationProceedings of the 20th Annual International Conference on Digital Government Research
Subtitle of host publicationGovernance in the Age of Artificial Intelligence, dg.o 2019
EditorsYu-Che Chen, Fadi Salem, Anneke Zuiderwijk
PublisherAssociation for Computing Machinery (ACM)
Number of pages10
ISBN (Electronic)9781450372046
Publication statusPublished - 2019
Event20th Annual International Conference on Digital Government Research: Governance in the Age of Artificial Intelligence - Mohammed Bin Rashid School of Government, Dubai, United Arab Emirates
Duration: 18 Jun 201920 Jun 2019

Publication series

NameACM International Conference Proceeding Series


Conference20th Annual International Conference on Digital Government Research
Abbreviated titledgo2019
Country/TerritoryUnited Arab Emirates
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project 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.


  • Business-government
  • Cross-sector social partnership
  • Disaster response
  • ICT
  • Information sharing
  • International trade
  • Interorganizational collaboration
  • NGO-government
  • Public value


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