Creating value through data collaboratives
Balancing innovation and control
Bibliographic Data
| ID | 6149173 |
|---|---|
| Authors | Bram Klievink (0000-0003-1999-743X, Delft University of Technology, corresponding author), Haiko Van Der Voort (0000-0002-2795-9444, Delft University of Technology), Wijnand Veeneman (0000-0002-8507-2286, Delft University of Technology) |
| Year | 2018 |
| Volume | 23 |
| Issue | 4 |
| Pages | 379-397 |
| Publication date | 2018-11-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.3233/ip-180070 |
| OpenAlex | W2903811397 |
| Language | EN |
| Citations received | 12 |
| References cited | 33 |
Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data collaboratives can add value in a public governance context, we exploratively studied the qualitative longitudinal case of an infomobility platform. We investigated the ability of a data collaborative to produce results while facing significant challenges and tensions between the goals of parties, each having the conflicting objectives of simultaneously retaining control whilst allowing for generativity. Taken together, the literature and case study findings help us to understand the emergence and viability of data collaboratives. Although limited by this study’s explorative nature, we find that conditions such as prior history of collaboration and supportive rules of the game are key to the emergence of collaboration. Positive feedback between trust and the collaboration process can institutionalise the collaborative, which helps it survive if conditions change for the worse
Data science · Statistics · Value (mathematics · Computer Science · E-Government and Public Services · Information Systems Theories and Implementation · Mathematics · Technology Adoption and User Behaviour
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Trust
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Trust and inter-organizational networking
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| Unique citing works | 12 |
|---|---|
| Citations per year | 1,71 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |